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Academic and Employability Skills and Research Methods and Masters Dissertation
1,800 words
Personal Development Plan: Academic, Employability and Career Development
This assessment requires students to develop a Personal Development Plan (PDP) related to their chosen field of work and future career pathway. The assignment is designed to support the development of academic, employability, professional and research-related skills while encouraging students to critically reflect on their current capabilities and identify areas for further development. The assessment consists of three interconnected components presented together as one document. The first component is a 750-word academic report that critically evaluates employment and entrepreneurial opportunities within the student's chosen field of work. Students are expected to use a range of relevant academic and professional sources to investigate the knowledge and skills required for their chosen career area, available employment opportunities, entrepreneurial opportunities and the challenges associated with the field. The chosen field must be clearly related to the student's study pathway specialism. The report should be presented in an appropriate academic structure, including an introduction and conclusion. The second component is a 750-word self-analysis and action plan. Students are required to critically reflect on their own strengths and weaknesses in relation to their chosen field of work or career path. The reflection should be supported by relevant academic and professional literature and should demonstrate awareness of personal qualities, employability requirements and areas requiring further development. Students must identify three specific action points for personal development that will enhance their readiness for their career goals. The third component is a portfolio of completed tasks, included as appendices to the assessment. These tasks provide evidence of the student's development and include activities relating to the chosen field of work, report planning, self-analysis and a SMART action plan. Evidence of completed tasks and Turnitin submission receipts is also required. The assessment encourages students to develop awareness of their personal strengths and weaknesses, engage in continuing self-development and build the skills required for employment and career progression. It also relates to research, employability and entrepreneurship competencies, including knowledge of hard and soft skills, systematic planning, critical analysis, professional development, ethical awareness, self-direction and independence. The complete assessment has a 1,500-word limit with a permitted variation of plus or minus 10%. Part 1 and Part 2 each contribute 40%, while the portfolio tasks contribute 10% and professional presentation contributes 10%. The assignment should be submitted as one professionally presented document and follow APA style guidelines.
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International Business Strategy
250 words
Individual Reflection on Case Study Discussion – International Business Strategy
This assignment is an individual reflective assessment for the International Business Strategy module. It focuses on developing students’ ability to critically reflect on their learning experiences and identify how learning from classroom discussions can improve their future academic and professional performance. The assessment is based on a Case Study Discussion undertaken during one of the teaching weeks from Week 5 to Week 8. Students are required to select one of the case studies discussed during the relevant seminar sessions and reflect on their learning from the discussion. The case-study discussions provide an opportunity to explore important issues in the business world, apply concepts introduced through Canvas preparation and face-to-face teaching, and exchange ideas with tutors and peers. The reflection therefore connects theoretical knowledge with practical business situations and encourages students to consider how strategic management concepts can be applied to real-world organisations. The reflective task requires students to explain the topic and case study discussed during their selected week, identify what they learned from the discussion, and consider how the experience helped them develop their ability to apply theories to their chosen company. Students should also reflect on their key takeaways, what went well during the discussion, challenges they encountered, and what they would change if they were to repeat the experience. The reflection should be between 150 and 250 words and should use an appropriate reflective framework, such as Gibbs' Reflective Cycle or Kolb’s Experiential Learning Cycle, to structure the discussion. Harvard referencing should be used where applicable. The assessment develops critical reflection, strategic thinking, international business understanding and the ability to connect academic concepts with practical business cases. The assessment is worth 15% of the module and is submitted through Canvas. The marking criteria consider the quality of reflection, critical analysis, personal learning insights, presentation and structure, intellectual curiosity, referencing, content and discussion.
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Global Supply Chain Management
4,200 words
Global Supply Chain Management – Gatwick Airport Northern Runway Expansion
This individual report examines several strategic and operational aspects of the global supply chain associated with the Gatwick Airport Northern Runway expansion. The assessment requires students to investigate the organisation and its current global supply chain challenges, while applying relevant supply chain management theories, frameworks and models to analyse its operations and develop strategic recommendations. The report begins by providing a background of the organisation, with particular attention to its current global supply chain issues and strategic supply chain relationships. Key areas of investigation include risk management, supply chain resilience, outsourcing, supplier planning and selection, supply chain integration, network design, leadership, benchmarking, decision-making, and the application of lean and agile approaches. These areas provide the basis for understanding how the organisation can manage its supply chain effectively within a complex and changing global environment. A critical evaluation of external factors affecting the organisation's global supply chain is also required through the use of a PESTEL analysis. This enables consideration of the political, economic, social, technological, environmental and legal factors that may influence supply chain performance, risks, costs and strategic decisions. The report must then develop key strategic recommendations aimed at optimising the organisation's global supply chain. The recommendations should focus on reducing costs, supporting sustainability, improving operational efficiency and enhancing supply chain resilience. Each recommendation should be supported by appropriate supply chain management theories and models, such as agile supply chain approaches, lean supply chain principles and global sourcing strategies. Students are expected to provide a clear rationale for their recommendations using theoretical insights and relevant academic and professional literature. The assessment places emphasis on critical reasoning, wider reading and the ability to connect supply chain theory with practical organisational issues. A logically structured, professional and business-like report is required, supported by appropriate evidence and Harvard referencing. The marking criteria assess the use of theory and frameworks, critical analysis and evaluation, conclusions and recommendations, and the overall structure, presentation and referencing of the report. The assignment is worth 70% of the unit assessment and has a required length of approximately 4,200 words, with a permitted variation of ±10%. The report should demonstrate an understanding of global supply chain management practices and the ability to apply relevant theories and frameworks to analyse supply chain challenges and develop realistic strategic recommendations.
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Research Methods / Project Management / Computer and Information Sciences
3,000 words
Critical Literature Review in Research Methods and Project Management
This Research Methods and Project Management assessment develops students’ ability to search for, evaluate, critically analyse and synthesise academic literature within a computing or information-science research area. Students work within an allocated group to conduct a structured literature search and critically evaluate research papers relevant to an assigned theme, before using the combined group literature corpus to produce an individual literature review. KF7028 - Assessment 1 - Semeste… Each group member must identify and critically analyse a minimum of five academic papers using the supplied Critical Paper Summary template. These individual summaries are then combined into a single group document and shared so that all team members can use the collective body of research. The quality of this component depends on the relevance and academic quality of the selected papers and the depth of critical evaluation rather than simple description. KF7028 - Assessment 1 - Semeste… The main individual component is a 3,000-word critical literature review, worth 60% of the assessment. Students must use the literature identified and summarised through the group activity and critically discuss the research associated with their allocated topic. The review should synthesise the literature into a coherent discussion rather than presenting disconnected paper summaries, demonstrating criticality, clear structure and effective academic writing. KF7028 - Assessment 1 - Semeste… A further 20% is awarded for an individual research and meeting log, maintained through Blackboard. Students are expected to record their research progress, contribution to the group, approach to collaboration and reflections on the literature-review process. Stronger logs demonstrate detailed evidence of active participation, reflective insight and professional collaboration rather than merely listing completed tasks. KF7028 - Assessment 1 - Semeste… KF7028 - Assessment 1 - Semeste… The assessment directly evaluates the ability to apply project-management principles to a computing-related research activity and to search, evaluate and develop a critical literature review. Wider module outcomes also emphasise research techniques, data and information analysis, professional research practice, ethics, risk, legal issues, societal considerations and sustainability. KF7028 - Assessment 1 - Semeste… The marking structure allocates 20% to the combined critical paper analysis, 20% to the research/meeting log and 60% to the individual literature review. Higher-performing work is expected to use high-quality and directly relevant academic sources, demonstrate strong critical analysis, synthesise evidence across the research theme, maintain a professional academic structure and apply accurate Harvard referencing throughout. KF7028 - Assessment 1 - Semeste… KF7028 - Assessment 1 - Semeste… Important for the public Reference Library: the brief states that ChatGPT or other AI tools must not be used to generate text or fill in assessment-template sections. Any AI use that supports the work or thinking must be declared, referenced and accompanied by a prompt log in an appendix. Therefore, this entry should be used only as a high-level public description of the assessment rather than as directly submissible student content. KF7028 - Assessment 1 - Semeste…
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Entrepreneurial Marketing
Entrepreneurial Marketing Business Idea Pitch: Market Opportunity, Value Proposition and Venture Viability
This Entrepreneurial Marketing assessment requires students to identify, research and present an entrepreneurial business idea that either addresses an identified customer need or exploits a recognised market opportunity. The idea may involve a new product or service and can be developed either as a personal start-up opportunity or as a new business proposition for an existing organisation. CW1 Business Idea Pitch Present… Students are expected to construct a concise business case around four core elements: the proposed business idea, the identified need or opportunity and resulting value proposition, an overview of the relevant market, and an appropriate entrepreneurial marketing strategy. The pitch should demonstrate how the proposed offering creates value and why the opportunity is commercially credible. CW1 Business Idea Pitch Present… The assessment provides three presentation routes. Students may deliver the pitch live to a panel, submit a five-minute narrated PowerPoint with a recorded response to the question of why the idea is strong, or submit the narrated presentation while also participating in the live Business Ideas Showcase. CW1 Business Idea Pitch Present… Students are expected to prepare approximately 6–10 PowerPoint slides, use in-text citations when external evidence is presented, and include a reference slide. The pitch should be concise, professional and supported by appropriate market research and business evidence. CW1 Business Idea Pitch Present… The marking criteria assess presentation and professionalism, verbal delivery, innovation and value proposition, market research and analysis, entrepreneurial marketing strategy, and overall business-case viability. Each of the main analytical components carries substantial weighting, with market research, marketing strategy, innovation and viability each contributing significantly to the final result. CW1 Business Idea Pitch Present… Overall, the assessment integrates opportunity recognition, value proposition development, market analysis, entrepreneurial marketing, venture viability and professional pitching skills within a practical start-up or business-development context. The brief specifies Cite Them Right Harvard referencing. CW1 Business Idea Pitch Present… 2) CW2 – Reflective Essay Field Content to enter Title Reflective Analysis of Entrepreneurial Capabilities, Product Development and Network-Based Opportunity Creation University University of Hertfordshire Subject Entrepreneurial Marketing / Entrepreneurship / Reflective Practice Module name Entrepreneurial Marketing Academic level Masters / Postgraduate Academic year 2025–2026 Assignment type MS Reflective writing Reference style Harvard Word count 1,000 words ±10% Amount (₹) Enter your internal project amount Key topics Entrepreneurial Marketing, Entrepreneurial Capabilities, Entrepreneurship, Reflective Practice, Product Development, Service Design, Opportunity Recognition, New Product Development, Teamwork, Networking, Business Start-up, Entrepreneurial Potential, Intrapreneurship, Personal Development, Business Application, Reflexive Practice, Entrepreneurial Confidence, Capability Development, Recommendations, Professional Reflection The assessment is an individual 1,000-word reflective essay worth 30% of the module. CW2 Reflective Essay (Individua… Assignment overview — ready to paste This Entrepreneurial Marketing reflective assessment requires students to critically evaluate their own entrepreneurial and intrapreneurial capabilities using learning from the module together with relevant life and work experience. The essay should use appropriate academic theories and frameworks to identify key strengths and development areas and make clear recommendations for improving future entrepreneurial potential. CW2 Reflective Essay (Individua… A major element of the reflection concerns the principles involved in designing a new product or service to meet an identified need. Students are expected to consider how entrepreneurial ideas are developed, how opportunities are recognised and how entrepreneurial capabilities influence the process of converting an idea into a viable proposition. CW2 Reflective Essay (Individua… The assessment also requires critical reflection on the importance of teams and networks in developing business-start-up opportunities and designing new services. The module learning outcomes emphasise the role of collaborative performance, networking and reflexive practice in strengthening entrepreneurial confidence and capability. CW2 Reflective Essay (Individua… Students should move beyond simple personal description and critically analyse their capabilities with reference to academic evidence. At least five academic references are required, and the work should use Cite Them Right referencing. CW2 Reflective Essay (Individua… The marking scheme allocates equal weighting to five areas: presentation, structure and reflective style; content and findings; intellectual curiosity and business application; critical analysis; and recommendations, with each area worth 20%. CW2 Reflective Essay (Individua… Overall, the assessment integrates self-reflection, entrepreneurial capability analysis, product and service design, team and network performance, academic theory and personal development planning. Its purpose is to demonstrate how reflective learning can support stronger entrepreneurial judgement, confidence and future business practice. The brief requires Cite Them Right Harvard referencing. CW2 Reflective Essay (Individua…
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Critical Analysis of Computational Algorithms: Research Paper Evaluation and Complexity Analysis
This postgraduate Computer Science coursework requires students to undertake a critical technical analysis of a computational algorithm presented in a prescribed academic research paper. Students select one paper from the available options and demonstrate that they understand both the research problem addressed by the authors and the algorithmic solution proposed. The assessment contributes 30% of the overall module grade and is completed individually. assignment The available research papers cover several algorithmic topics, including an improved Dijkstra shortest-path algorithm for sparse networks, a modified merge-sort approach for large-scale datasets, parallel merge sort with load balancing, and a Prim-based algorithm for hierarchical clustering. Students must extract the principal algorithm from their selected paper and explain its purpose, inputs, outputs and operating procedure. A major component involves identifying the research question and computational problem addressed by the selected study. Students then reproduce or extract the proposed algorithm in pseudocode form and clearly identify the information supplied to the algorithm and the outputs it generates. The algorithm must also be explained step by step using straightforward language so that its operation can be understood without relying exclusively on formal notation. The coursework further requires a detailed time-complexity analysis, demonstrating understanding of how computational requirements grow with input size and how the proposed technique compares with alternative or conventional approaches. Students must critically evaluate the algorithm’s strengths, weaknesses, performance characteristics and limitations, and suggest potential improvements where appropriate. The marking rubric gives substantial emphasis to five areas: identifying the computational problem and research questions, extracting the proposed algorithm, identifying inputs and outputs, explaining the algorithm clearly, analysing its time complexity, and critically evaluating its strengths and weaknesses. assignment The written submission must be 800–1,000 words, although the inputs/outputs, pseudocode and time-complexity sections are excluded from that limit. Figures and images are not permitted, and the work must be submitted using the prescribed coursework template in DOC/DOCX format. Overview word count: approximately 340 words. AI-use note: the guideline permits generative AI only for proofreading. AI tools are explicitly not permitted to create the assessed work itself. assignment
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International Business / Strategic Management
200 words
Individual Reflection on Tencent’s Strategic Reorganisation and International Business Strategy
This International Business Strategy assessment is an individual reflective exercise based on a case-study discussion undertaken during Weeks 5–8 of the module. Its purpose is to develop students’ ability to critically reflect on learning experiences and use that reflection to improve future academic and professional performance. Students participate in approximately 30-minute seminar discussions in which theoretical concepts from the module are applied to real-world business cases with tutors and peers. IBS-0901-2025-+Reflection2-Ref For this entry, the selected case is Tencent: “third time lucky?”. The case examines how Tencent evolved from a Chinese instant-messaging company into a major technology group spanning messaging, gaming, entertainment, investment and cloud services. It focuses particularly on three major organisational reorganisations undertaken in 2005, 2012 and 2018 as the company attempted to address increasing organisational complexity, coordination problems, changing technologies and new strategic priorities. The 2005 restructuring responded to Tencent’s growing scale by dividing the organisation into major business and platform-development groups. By 2012, further growth and the success of products such as WeChat had created new organisational complexity, leading to a structure organised around seven distinct business groups. The case highlights that this arrangement subsequently contributed to a “silo culture”, creating difficulties in sharing ideas, data, code and customers across business units. The 2018 reorganisation responded to a strategic shift toward the “industrial internet”, including greater emphasis on cloud services, business-to-business solutions and digital transformation. Tencent reorganised around six major groups, including Cloud and Smart Industries, Platforms and Content, Interactive Entertainment, Corporate Development, WeChat, and Technology and Engineering, while also establishing a technical committee intended to improve internal coordination and data sharing. The case asks students to consider both the strategic rationale for each restructuring and whether the 2018 changes adequately addressed Tencent’s organisational challenges. The reflection itself must be between 150 and 250 words. Students should explain what the week’s topic and case study were about, what they learned from the discussion, how the conversation helped them apply theory to their final report, and what key insights they gained. They should also reflect on what went well, what challenges were encountered and what they would change if repeating the session. At least one reflective framework, such as Gibbs’ Reflective Cycle or Kolb’s Experiential Learning Cycle, must be applied. IBS-0901-2025-+Reflection2-Ref The wider learning outcomes emphasise strategic management theory, internationalisation, internal and external environmental influences, critical analysis of international organisations and the use of analytical tools to evaluate strategic options. The task therefore combines strategic thinking, international business analysis and reflective professional development. IBS-0901-2025-+Reflection2-Ref The accompanying Tencent case specifically asks students to consider why each major reorganisation occurred, whether the 2018 restructuring adequately addressed Tencent’s challenges, and what additional “hard” and “soft” implementation measures might have been necessary. Case+study+7
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International Human Resource Management / International Business
800 words
Comparative Analysis of Cultural Factors Shaping Human Resource Staffing Strategies in International Enterprises
This individual international human resource management assessment examines how cultural and institutional differences influence recruitment and staffing decisions in international enterprises. Students take the role of an HR representative for VetDopomoga, a Ukraine-based international veterinary clinic chain planning to expand into either the United Kingdom or India. The final output is a concise academic poster of up to two pages and approximately 800 words ±10%, supported by appropriate visual material. Assignment 1_The Comparative An… The first component requires comparison of the United Kingdom and India with Ukraine. Students examine relevant cultural characteristics, including communication style, hierarchy and power distance, individualism versus collectivism and approaches to time, alongside institutional factors such as labour-market conditions and employment or regulatory environments. This comparison provides the contextual basis for evaluating how recruitment practices may need to change across markets. Assignment 1_The Comparative An… Students must then apply an appropriate international HR staffing strategy, choosing from ethnocentric, polycentric, regiocentric or geocentric approaches. Based on their analysis, they must recommend which market VetDopomoga should enter first and which should follow, providing clear evidence-based justification. Assignment 1_The Comparative An… A central theoretical component requires application of one cultural framework, selected from the Cultural Intelligence framework, Erin Meyer’s Culture Map, the GLOBE Project or Hofstede’s Cultural Dimensions Theory. Students focus on two dimensions from their selected framework and use them to evaluate the benefits and challenges associated with recruitment practices in Ukraine, the United Kingdom and India. Assignment 1_The Comparative An… The poster must also examine a recent cultural, economic or political event affecting the three national contexts and explain its implications for international recruitment and staffing. Examples suggested in the brief include changing social attitudes following COVID-19, economic shifts affecting demand for specialist labour and post-Brexit employment or migration policies. Assignment 1_The Comparative An… Students additionally research best-practice recruitment examples from international veterinary enterprises operating in the UK and India and identify practices VetDopomoga could adopt or adapt in each market. The final recommendation must identify the preferred first expansion destination and provide three evidence-based reasons supporting the decision. Assignment 1_The Comparative An… Assessment criteria place strong emphasis on content and findings, theoretical application, critical analysis, source quality and Harvard referencing, as well as poster presentation and structure. High-quality work is expected to go beyond description by applying cultural theory directly to HRM practices and critically evaluating the implications of cultural and institutional differences for international recruitment decisions. Assignment 1_The Comparative An… Assignment 1_The Comparative An…
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4,200 words
Global Supply Chain Strategy for the Gatwick Airport Northern Runway Expansion
This individual Global Supply Chain Management assessment requires students to prepare a professional strategic report on the supply chain implications of the Gatwick Airport Northern Runway expansion. The task focuses on applying contemporary supply chain theories, models and analytical techniques to a complex infrastructure development context, with particular attention to strategic relationships, operational efficiency, risk and resilience. Assignment Brief 2 - MBA013 Glo… The report begins by establishing the background to the organisation and examining its current global supply chain context. Students are expected to consider issues including strategic supplier and customer relationships, risk management, resilience, outsourcing, supplier planning and selection, integration, supply chain networks, leadership, benchmarking, decision-making, lean principles and agile supply chains. These areas provide the basis for evaluating how supply chain performance can be improved in a major airport expansion project. Assignment Brief 2 - MBA013 Glo… A key analytical component requires a PESTEL analysis to critically assess how external political, economic, social, technological, environmental and legal factors may affect the organisation’s global supply chain. The purpose is not only to identify external pressures but to evaluate how those factors may influence sourcing, supplier management, cost, risk exposure, resilience and long-term strategic decision-making. Assignment Brief 2 - MBA013 Glo… The final part of the report develops strategic recommendations aimed at optimising supply chain performance. Recommendations should focus on reducing costs, supporting sustainability, improving operational efficiency and strengthening resilience. Students are expected to justify these proposals through explicit application of relevant theories and models such as lean supply chain, agile supply chain and global sourcing strategies, supported by appropriate academic and practical evidence. Assignment Brief 2 - MBA013 Glo… The marking criteria place substantial emphasis on theoretical application, critical analysis and the connection between theory and practice. The rubric allocates 25% to theory and frameworks, 30% to analysis and evaluation, 20% to conclusions and recommendations, and 25% to structure, presentation and referencing. Assignment Brief 2 - MBA013 Glo… Assignment Brief 2 - MBA013 Glo… Overall, the assessment develops competence in strategic supply chain analysis, infrastructure logistics, risk and resilience, supplier management, lean and agile operations, sustainability and evidence-based recommendation development. Overview word count: approximately 350 words. Important: the brief explicitly states that the report must be original and that students should not use AI to produce the work. Assignment Brief 2 - MBA013 Glo…
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Business Management / Consultancy / Strategic Management
5,000 words
Business Consultancy Project: Strategic Analysis, Stakeholder Evaluation and Evidence-Based Recommendations
This Business Consultancy Project assessment requires students to produce a professional 5,000-word consultancy report addressing a strategically important issue, challenge or problem facing a client organisation. The project must normally continue from the topic and client proposed in the earlier Consultancy Project Proposal, ensuring continuity between the proposal and final consultancy work. The assessment is designed to replicate professional consultancy practice through independent research, critical analysis and the development of actionable recommendations. Copy of Apr 25 Onwards brief_EE… Copy of Apr 25 Onwards brief_EE… The report begins with an Executive Summary, followed by an introduction and company/client overview. Students must define one clear business problem, establish the overall project aim and purpose, and specify the consultancy focus, which may relate to areas such as strategy, human resources, marketing or sustainability. The selected issue should be clearly connected to the organisation’s wider strategic and industry context. Copy of Apr 25 Onwards brief_EE… A dedicated Stakeholder Analysis section requires identification and evaluation of internal and external stakeholders. Students must assess stakeholder interests, influence, expectations, conflicts and power relationships, and are encouraged to apply a framework such as Mendelow’s Matrix. The purpose is to show how stakeholder dynamics influence the consultancy problem and the feasibility of proposed solutions. Copy of Apr 25 Onwards brief_EE… The largest section is Data Analysis and Framework Application, where students critically evaluate secondary evidence and apply two or three relevant management frameworks. Suitable approaches may include SWOT, PESTLE, Porter’s frameworks and the Balanced Scorecard. The analysis should incorporate credible company and industry evidence, Excel outputs, tables or charts where relevant, and connect patterns in the data to strategic, operational or HR implications. Ethical and sustainability considerations should be embedded where appropriate. Copy of Apr 25 Onwards brief_EE… The project concludes with three prioritised and evidence-based recommendations. Recommendations should be practical, justified, risk-aware and linked directly to the findings. Students must explain expected benefits and demonstrate how the proposed actions create strategic value for the client organisation. Copy of Apr 25 Onwards brief_EE… The final assessed section is a 500-word Employability Reflection covering skills developed through the project, application of theory to practice, professional behaviours, personal strengths and weaknesses, career relevance and specific future-development actions. Copy of Apr 25 Onwards brief_EE… Overall, the assessment integrates consultancy problem definition, stakeholder analysis, strategic frameworks, secondary-data interpretation, ethics, sustainability, recommendations and professional reflection within a Masters-level business project. The marking criteria reward criticality, current evidence, intellectual originality, professional consultancy thinking and accurate Harvard referencing. Copy of Apr 25 Onwards brief_EE… One important point: the brief states that the majority of references should come from sources published within the last 6–12 months, so the final project is expected to use very current company, industry and academic evidence. Copy of Apr 25 Onwards brief_EE…
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Data Science / Time Series Analysis / Machine Learning
Time Series Modelling Case Study: Oil Price Forecasting with ARMA and Alternative Models
This Time Series Modelling Case Study requires students to analyse real-world oil-price time-series data and develop forecasting models capable of predicting future values. The assessment combines traditional statistical time-series techniques with an alternative forecasting approach, requiring students to demonstrate practical modelling skills, critical research engagement and evidence-based interpretation of forecasting results. The coursework is completed individually and contributes 40% of the assessment. assing,,, (1) The assessment is divided into three main parts. Part 1 focuses on developing an ARMA-based forecasting model using daily oil-price data covering approximately 2024 to 2026. Students begin with exploratory data analysis and initial visualisation before testing whether the time series is stationary. Where necessary, appropriate transformations or differencing must be applied to obtain stationarity. Students then define an ARMA model and identify suitable p, d and q parameters using an AIC-based model-selection procedure across the parameter ranges specified in the brief. assing,,, (1) Model adequacy must be assessed using diagnostic analysis. Students inspect residuals, generate additional ACF plots, examine residual distributions and evaluate prediction performance using appropriate metrics such as RMSE. The selected model is then used to forecast oil prices 24 months into the future, with appropriate confidence intervals added to communicate forecast uncertainty. assing,,, (1) Part 2 requires students to research and implement an alternative forecasting approach. Suggested examples include LSTM and Prophet, although another appropriate model may be proposed. Students conduct a literature review supporting the alternative method, build and where relevant hyperparameter-tune the model, generate another 24-month forecast, visualise predictions and confidence intervals, and calculate suitable evaluation metrics. This component is intended to demonstrate independent research and the ability to propose an alternative solution rather than relying only on the conventional ARMA approach. assing,,, (1) Part 3 consists of a 6–8 page technical report explaining the modelling process, forecasting results and resulting inferences. The report should provide a critical analysis rather than simply reproducing numerical outputs. Students are expected to explain why results occurred, justify modelling choices, evaluate how those choices influenced performance, compare forecasts with subsequently observed real data where possible, and construct a coherent narrative supported by plots, images, summary statistics and academic literature. Future improvements to the modelling approach should also be critically discussed. assing,,, (1) Submission consists of both the report and working code. The code may be submitted directly or through an accessible Colab or GitHub repository and must reproduce all models, figures and numerical results presented in the report. The assessment allocates 60% of the marks to code and 40% to the report. Within the coding component, modelling and forecasting completion accounts for 40 marks and code quality and annotation for 20 marks. The report is assessed on analysis and inference, methodological justification, comparison of the two modelling approaches, presentation quality, figures and use of appropriate references. assing,,, (1) Key technical expectations include appropriate testing for stationarity, use of methods such as ADF, ACF, PACF and differencing, systematic model selection, forecasting, evaluation and clear comparison between the traditional ARMA model and the chosen alternative approach. Higher-quality work is expected to interpret what the forecasts mean, identify potential improvements and demonstrate sound technical communication rather than merely reporting model outputs. assing,,, (1) Important for the public Reference Library: the brief explicitly states that students must not use generative AI to write the report, and the rubric indicates that AI text-generation use may result in zero marks for the whole assignment. Therefore, the public entry should remain a high-level description of the assessment rather than material intended for direct submission. assing,,, (1)
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Artificial Intelligence / International Business
3,000 words
AI Innovation Consultancy: Evaluating Artificial Intelligence Solutions for Business Problems
This individual consultancy assessment requires students to act as an AI Innovation Consultant and evaluate how artificial intelligence could address a significant real-world business problem. Students select one industry—such as healthcare, retail, FinTech, manufacturing or agriculture—and concentrate on a single clearly defined organisational challenge rather than comparing multiple sectors. Potential issues include long waiting times, high operating costs, fraud and risk, poor customer experience or inefficient supply chains. The report develops a practical AI solution by identifying suitable technologies such as machine learning, natural language processing or computer vision and explaining how they would operate within the chosen organisational context. Students are not required to build an AI system; instead, the emphasis is on demonstrating business-level technical understanding, critical thinking and the ability to assess whether the proposed technology can realistically integrate with existing organisational processes. The analysis considers the capabilities and limitations of AI, technical feasibility, integration requirements and the skills or organisational capabilities required for implementation. Students must also critically examine ethical, legal and social implications, including issues such as algorithmic bias, transparency, accountability, privacy and regulatory obligations such as UK GDPR. Appropriate risk-mitigation measures should be proposed. A substantial element of the report develops the business case for AI adoption. Students evaluate implementation costs and expected benefits, estimate return on investment, identify assumptions and commercial risks, and assess the overall strategic value of the solution to the organisation. The report concludes with clear recommendations, implementation priorities and a final judgement on whether the proposed AI initiative is feasible and worthwhile. The assessment places strong emphasis on critical analysis, technical understanding, business acumen and professional communication. Students are expected to support arguments with credible academic, industry and government evidence and include at least two professional visualisations such as frameworks, diagrams or tables. Harvard referencing is required throughout. Overview word count: approximately 330 words. The brief also allows authorised use of generative AI for idea generation, drafting/structuring and proofreading, provided the student verifies accuracy, references appropriately and submits the required GenAI declaration.
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Project Management / Professional Development / Business Strategy
5,000 words
Professional Project Portfolio and Strategic Business Presentation
This Level 7 assessment requires students to compile a comprehensive Portfolio of Evidence demonstrating their project contribution, reflective learning, professional skills and career development. The portfolio has a maximum length of 5,000 words and is designed to evidence both technical or disciplinary project engagement and the student’s development as a reflective professional. The assessment is organised into three main components: a Discipline Report, Project Work Logbook, and Career Development Plan. Assessment Overview The Discipline Report, worth 40% of the portfolio, provides an overview of the project and its conclusions, alongside a self-reflection on the student’s project experience. Students also complete a personal skills analysis and provide a confidential summary of their team’s delivery. This section therefore combines project understanding with critical self-evaluation, skills awareness and evaluation of collaborative performance. Assessment Overview The Project Work Logbook, worth 30%, records the student’s activities on a weekly basis. Students summarise the work completed each week and document problems or challenges encountered during the project together with the approaches used to resolve them. The marking criteria emphasise consistency, level of detail, organisation and the ability to identify and address project-related difficulties. Assessment Overview Assessment Overview The Career Development Plan, also worth 30%, requires students to define a realistic future career pathway, identify relevant jobs and organisations, and evaluate the skills and knowledge needed to progress toward those goals. Students must also complete an additional professional-development course, such as CPD or LinkedIn Learning, to demonstrate practical upskilling and continued professional development. Assessment Overview A related team presentation forms a second assessment activity. Teams of four to five students must present face to face for approximately 10–15 minutes to a small management-board audience. All team members are expected to contribute approximately equal content and speaking time, with provision for questions and answers. The presentation focuses on the team’s overall findings, analysis of the business problem, practical recommendations, proposed implementation approach and final conclusion. assessment Overview 1 Strong presentations are expected to be engaging, professionally structured and supported by relevant evidence, graphics, tables and other appropriate visual material. Higher-level work should move beyond description by applying theory critically to a real-world business problem, recognising the limitations and contextual applicability of theoretical concepts and producing recommendations that are appropriate to the organisation being analysed. assessment Overview 1 Overall, the assessment develops and evaluates project reflection, professional communication, teamwork, career planning, critical analysis, employability, problem solving and evidence-based business recommendation skills. It combines an individual reflective portfolio with a collaborative management-style presentation, allowing students to demonstrate both personal development and the ability to communicate project findings professionally.
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Data Science / Data Management / Leadership and Entrepreneurship
4,500 words
The Data Science Professional: Tesla Data Management, Leadership and Entrepreneurial Practice
This interdisciplinary Data Science Professional assessment uses Tesla as the central organisational case study to examine how data management, leadership, entrepreneurship, technology and ethics interact within a contemporary technology-driven business. Students produce an individual report of 4,500 words equivalent, combining technical data-science competencies with strategic and managerial analysis. The Data Science Professional A… The Data Science Professional A… Part A – Database Design and Distributed Frameworks focuses on data management. Students design an Entity-Relationship model for Tesla-related organisational data, translate the model into a relational schema and justify the database structure. They also work with a specified database to produce Oracle SQL queries for analytical requirements. A further component critically evaluates the security, privacy and ethical implications of Tesla's Full Self-Driving technology, supported by relevant academic evidence. The Data Science Professional A… Part B – Leadership and Developing People requires critical analysis of Tesla's leadership model and organisational culture. Students examine current leadership challenges and their implications for organisational and employee performance before proposing a leadership and people-development strategy designed to support future organisational growth, employee engagement and sustained performance. The Data Science Professional A… Part C – Entrepreneurial Practice and Managing Risk investigates the proposed creation of a Tesla spin-out venture focused on innovative, low-cost green hydrogen production systems. Students critically evaluate management support for the entrepreneurial initiative and recommend an evidence-based course of action. They must also propose a multidimensional approach to mitigating entrepreneurial risks and barriers, critically assess entrepreneurial leadership characteristics, and develop a role descriptor for the person who would lead the new venture. The Data Science Professional A… The final element examines whether GDPR and data or AI ethics constrain or support entrepreneurial practice among employees. Overall, the coursework integrates database modelling, SQL, data governance, leadership development, organisational culture, entrepreneurship, innovation, risk management and ethical decision-making within a single applied case study. The Data Science Professional A… Important for the public Reference Library: the brief explicitly states that it is for Coventry University Group students' own use and must not be passed to third parties or posted on any website. The Data Science Professional A… So publish an original high-level overview like the one above, but do not upload the original assessment brief itself to the public library.
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Applied Data Science
500 words
Critique of a Data Science Book and Selected Chapter
This assignment requires students to critically evaluate a selected data science book and a specific chapter from that book. Students must choose one book from the list provided in the assignment, read the preface or introduction to understand the intended audience, and then select a chapter that is relevant to their interests, existing knowledge and learning objectives. The available books cover a range of data science and analytical subjects, including practical time series analysis, machine learning with Python, Python-based data science, technical analysis, Bayesian statistics and artificial intelligence applications. The main purpose of the assignment is to develop the student's ability to engage critically with technical literature rather than simply summarising its content. The critique should identify the selected book and its intended audience, clearly state the chosen chapter and explain the reasons for selecting it. Students are expected to consider what they hoped to learn from the selected material and then critically assess whether the chapter achieved these objectives. The assessment should consider the clarity, usefulness and accessibility of the material, as well as the extent to which it contributes to the student's understanding of data science concepts. Students should also discuss additional knowledge they would like to gain from the book and identify particular aspects that were either helpful or less useful. This may include the quality of explanations, examples, technical depth, practical applications, organisation of material and relevance to the student's existing knowledge. The critique should demonstrate engagement with the selected chapter and provide reasoned observations rather than simply describing what the author has written. The final submission is a 500-word critique with a permitted variation of plus or minus 10 percent, meaning the expected range is approximately 450–550 words. The text must be written as a continuous narrative and should not use subheadings for the individual assessment points. The headline should follow the format “Critique of <book title> by <book author>”, with the student's name and student ID as the subtitle. The assignment assesses both technical presentation and content, including grammar, writing style, word count, completeness, breadth and depth of the book assessment, critical analysis and evidence of engagement with the selected material. Students must submit text that can be processed by Turnitin.
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Computing
Independent Critical Analysis 30
Independent Critical Analysis 30 is an individual assessment that develops students' ability to critically analyse ethical, social, legal and professional issues arising from a computing-related scenario. The assessment is worth 30% of the overall module assessment and requires students to respond to three questions relating to the ethical and professional issues presented in the scenario. Students are expected to apply the specific analytical techniques or approaches identified in the assessment instructions when developing their responses. The assessment focuses on the critical examination of ethical issues and professional responsibilities within contemporary computing contexts. Students are expected to identify relevant ethical concerns and provide a reasoned justification for their analysis. The marking criteria emphasise the identification of a single ethical issue or ethical risk, followed by a structured analysis using the EHAZOP Framework. Higher-level responses are expected to provide clear justification for the ethical issue selected, examine the associated consequences, and demonstrate a systematic and critical approach to the scenario. A second component focuses on ethical risk analysis using the Ethical OS Toolkit. Students are expected to identify an ethical risk associated with the scenario and justify their selection through a structured analysis. The assessment therefore requires students to consider the potential consequences of computing-related decisions and to demonstrate an understanding of how ethical risks can be identified and evaluated. The final component addresses professional issues. Students are expected to identify relevant professional principles and apply an appropriate professional code of conduct, such as the ACM or BCS Code of Conduct, to the scenario. The analysis should explain which professional principles are relevant and provide a reasoned justification for their application. The marking criteria place emphasis on systematic analysis, appropriate justification and understanding of responsible computing practice. The assessment therefore connects ethical decision-making with professional responsibilities and standards. The assignment also assesses broader module learning outcomes relating to ethical standards, contemporary computing contexts, legal and professional issues, and the ability to critically analyse high-profile cases or case studies. Students are required to submit the provided answer sheet containing the scenario and three questions. The assessment brief states that submissions are subject to Turnitin and that students must follow the specified submission requirements.
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Management
5,000 words
Principles of Management – Tesco Management Report
This assessment requires students to produce a 5,000-word management report analysing the current management practices of Tesco. The report is written from the perspective of a business consultant and is intended for Tesco’s senior management team. Students are required to apply management theories, concepts and practices covered in the module, supported by appropriate academic literature, case study materials and independent research. The assessment also requires students to develop a personal Skills Development Plan and a 500-word Reflective Statement focused on their own management competencies and future career objectives. The report addresses four main tasks. Task 1 focuses on key management theories, concepts and practices and requires students to explain how management contributes to Tesco’s success and adds value. Students should discuss the four philosophies of the Competing Values Framework and identify one additional relevant management theory that supports the analysis of Tesco’s management approach. Task 2 evaluates management as a value-adding universal activity by examining the dynamics of the global business environment and how Tesco adapts its strategies and methods at global, national and local levels. Students may apply frameworks such as LoNG-PEST or Porter’s Five Forces and should identify one global opportunity and one global threat. Task 3 critically analyses the key principles and functions of management, including planning, organising, leading and controlling. Students must identify one internal challenge faced by Tesco and evaluate how management functions can be applied to address it, supported by an appropriate academic model such as Value Chain analysis, VRIO or Mendelow’s Matrix. Task 4 focuses on critical reflection and skills development. Students are required to complete a Personal SWOT, prepare a Skills Development Plan addressing their future career aims and objectives, and provide a 500-word Reflective Statement using an appropriate reflection model such as Borton, Kolb’s Cycle, Maslow’s or GROW. The reflection should focus on professional skills including self-management, problem-solving and decision-making. The report should conclude with recommended changes that Tesco should implement to improve its success. The assignment requires academic writing, critical analysis, evidence-based arguments and Harvard referencing. The main body consists of an introduction, four assessment tasks and a conclusion, while the cover page, contents, references and appendices are excluded from the 5,000-word limit. :contentReference[oaicite:2]{index=2} :contentReference[oaicite:3]{index=3}
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Leading Through Digital Change
2,500 words
Leading Through Digital Change (CW1)
The Leading Through Digital Change (CW1) assessment is a summative coursework assignment for MSc Management programmes at BPP University Business School. The assessment accounts for 100% of the module marks, with a minimum of 50% required to pass. Students must submit the assessment through Turnitin and follow the Harvard Referencing System. The coursework consists of a 1,500-word business report together with an A4-size poster. The assessment requires the student to act as a Digital Transformation Consultant responsible for coordinating technology expertise within an organisation. The Chief Information Officer (CIO) requires a Digital Transformation Report and Poster that evaluate and recommend changes designed to maintain competitive advantage and create business value. Students must select one organisation from the options provided in the assessment brief: Tata Motors, Meezan Bank Limited, Hulu, or Puma SE. Part 1 addresses the Digital Transformation Strategic Framework and is linked to Learning Outcome 1. The student must critically review and propose one appropriate digital transformation framework for the selected organisation. The brief specifies that one framework should be used from McKinsey 4Ds, BCG 3 Stages, Gartner's 6 Steps or Cognizant's 4 Pillars. The section should also include digital transformation objectives supporting areas such as operations, ICT and marketing. Part 2 addresses Future Digital Trends and Learning Outcome 2. Students must design a poster evaluating two disruptive technologies or techniques likely to affect the smartphone industry, employment and the labour market over the next five years. Suggested technologies include Artificial Intelligence and Machine Learning, 5G Connectivity, Internet of Things, Robotics, Drone Delivery, Blockchain, and Augmented or Virtual Reality. Academic literature and real-life examples should support the discussion. Part 3 addresses Digital Leadership Recommendations and Learning Outcome 3. Students must analyse and propose two appropriate digital leadership styles that the selected organisation should develop to effectively manage and support digital transformation. The brief identifies possible approaches including hyperaware agile leadership, ethical-tech leadership, people-oriented leadership, agile leadership and Goleman's six leadership styles, while allowing other relevant approaches. The required report structure includes the BPP University administration cover sheet, table of contents, list of abbreviations where appropriate, introduction, Part 1, Part 2 (Poster), Part 3, conclusion, references and appendix where required. The main business report is limited to 1,500 words, while the poster has no separate word limit but must fit on A4 paper. The report must be written in the third person, use professional formatting, include page numbers, correctly label tables and figures, and use Harvard in-text citations and references. The marking criteria emphasise critical evaluation rather than simple description. Higher performance requires evidence of extensive personal research, critical analysis of digital transformation frameworks, emerging technologies and leadership approaches, supported by academic literature and real-world examples. The rubric also expects strong links between the organisation's technological challenges, transformation objectives, disruptive technologies and proposed leadership approaches.
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Management
2,500 words
Managing Customer Experience – Coursework Summative Assessment
This assessment requires students to produce a 2,500-word report evaluating the customer experience (CX) strategy of one selected company in one specific country. Students choose one company from H&M, Chen One or M&S and analyse how its customer experience contributes to business success. The report is written from the perspective of a CX consultant for the company’s Board of Directors and should apply relevant customer experience concepts, literature and business examples. The report examines four key areas. First, students explain the concept of customer experience and critically review its importance to business success, including mutual benefits for the organisation and its customers, business and financial performance, and the use of CX to achieve competitive advantage. Second, students evaluate how the selected company delivers a seamless omnichannel customer journey. This includes developing a research- and data-informed customer persona and a customer journey map covering stages, needs, activities, feelings, pain-points and opportunities for improvement. Third, students critically evaluate three CX performance metrics and consider their effectiveness, benefits, weaknesses and relevance to the selected company. Fourth, the report critically reflects on the company’s customer-centric culture in the context of increasing digitalisation, with particular attention to CX leadership, CX governance and one additional critical success factor such as people, CX structure or innovation. Practical recommendations for improving the customer experience should be provided. The assessment requires academic writing, evidence-based critical analysis and Harvard referencing. The report should use appropriate figures, diagrams and research evidence and follow the specified presentation requirements. The assignment assesses students’ ability to understand the importance of CX, evaluate CX performance metrics, assess seamless omnichannel journeys, and critically reflect on CX strategies and digitalisation.
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Principles of Data Science
3,000 words
Principles of Data Science – Predictive Modelling and Data Analysis
This individual assessment for the Principles of Data Science module requires students to select, apply and critically evaluate data science methods, tools and techniques using one of three provided datasets and its associated scenario. The main assessment takes the form of a 3,000-word report in which students explore their chosen dataset, identify an appropriate predictive modelling approach, build and evaluate models, interpret the findings and critically reflect on the overall process and outcomes. The assessment addresses the principles and foundations of data science, statistical methods, data preparation, visualisation, predictive modelling, decision making and the critical evaluation of data science techniques and tools. Students begin by exploring the selected dataset to understand its structure, characteristics and limitations. Although the supplied datasets have already been cleaned, students may undertake additional data preparation or transformation where necessary. Any preprocessing decisions must be justified in relation to the requirements of the selected analytical methods. Feature selection should also be considered as part of preparing the data for model development. The assessment requires students to identify suitable forms of analysis for the selected scenario and justify their choice of methods. At least two different techniques must be used to develop models with predictive capacity for the response variable in the chosen dataset. The models must be trained and tested consistently, using the same training and test datasets so that their performance can be compared fairly. Where appropriate, students should also provide insight into feature importance and explain the contribution of relevant variables to predictive performance. Model performance must be evaluated using suitable metrics, followed by a clear description of the findings and recommendations appropriate for the intended audience. The report should document the complete analytical workflow, including data exploration, preprocessing, feature selection, model development, testing and evaluation. Students are expected to explain and justify the decisions made throughout the process rather than simply presenting code or model results. The assessment also requires students to demonstrate practical proficiency in data science tools and techniques. The brief expects the use of R for completing the assignment and requires evidence of important elements of the code, although the complete code does not need to be submitted. Data visualisation must be used to support the written discussion and communicate relevant findings effectively. The assessment is evaluated across theoretical knowledge and method selection, data exploration and processing, technical application and model evaluation, communication of findings, and overall presentation and referencing. The assessment therefore combines technical implementation with critical analysis, requiring students to explain why particular methods were selected, evaluate their effectiveness and consider the limitations and implications of the resulting findings. A separate second assessment component accompanies the written report. This component requires a presentation of the key findings from the written work using a maximum of five slides and a presentation duration of no more than seven minutes. It should summarise the dataset, methods, key findings and project outcomes while providing critical reflective commentary on lessons learned, factors affecting success and potential real-world applications.
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Entrepreneurial Practice
3,500 words
Entrepreneurial Practice – Critical Analysis, Business Venture Proposal and Reflective Practice
This assessment for the Entrepreneurial Practice module requires students to critically analyse a real organisational issue using one of three specified employer case study videos and develop a proposal for a new business venture. The assessment is an individual 3,500-word equivalent portfolio consisting of three tasks: a 1,500-word report, a 1,000-word briefing note, a narrated two-slide PowerPoint presentation, and a 500-word reflective personal and professional account. Students must select only one of the three case studies provided: Paragon, Reliance Housing, or Ovo Biomanufacturing. The chosen case study must be used consistently across the relevant tasks. Task 1 requires a short report based on the selected employer case study. Students must critically and strategically analyse the challenges and issues facing the organisation using one or more appropriate strategic analysis tools. The report must also critically evaluate the organisation's leadership model or models and communication strategies, including their impact on employee and organisational culture and performance. Finally, students must provide three justified recommendations designed to enable and improve organisational performance. This section is 1,500 words and represents 30% of the assessment. Task 2A requires a 1,000-word briefing note based on the same case study. It involves a critical appraisal of the phases of entrepreneurial practice from the idea stage through to delivery, including the benefits and potential funding sources for the proposed new business venture. Students must also critically analyse strategies for addressing and managing risks within the proposed venture and critically appraise the entrepreneurial traits, characteristics, skills and competences required for strategically positioning the new venture within the organisation. Task 2B requires a two-slide narrated PowerPoint presentation lasting three minutes. The presentation should pitch the proposed business idea to an audience of employees, managers, senior managers and the Board of Directors within the case study organisation. It should explain what informed the new business idea, its benefits to the organisation, potential funding prospects, risks and risk-management strategies, and the entrepreneurial traits, characteristics, skills and competences required for strategic positioning. Task 3 is a 500-word reflective personal and professional account. Students must select a professional area from the CMI Code of Conduct and Practice and reflect on how it can be applied to their current or future professional career. The brief allows the use of reflective models such as Gibbs, Kolb, Rolfe or Burton, or another appropriate professional and systematic reflective model. The assessment develops skills in communication, creative thinking, integrity, adaptability and completing tasks, with particular emphasis on leadership and entrepreneurial skills. The learning outcomes include evaluating ethical and inclusive approaches to leadership, diversity and entrepreneurship; reflecting critically on entrepreneurial practice and effective leadership; understanding principles for leading and developing people; understanding leadership and development strategy; and understanding entrepreneurship and entrepreneurial practice in strategic contexts. The submission requires Task 1, the Task 2A briefing note and Task 3 to be combined into one MS Word document, while Task 2B must be submitted separately as a narrated PowerPoint with audio. The written work should include a cover sheet, page numbers, Arial 12-point font and 1.5 line spacing. References and appendices are excluded from the word count, while words in tables count towards the final word count. The assessment also carries a 10% allocation for referencing and structured presentation across the three tasks. The assignment brief places particular importance on using the selected case study as the foundation for the analysis. Wider research may be used, but the primary focus should remain on the case study interview, CMI materials, module-related models and content. Students are expected to apply relevant models, tools and methods discussed in seminars and CMI learning journeys and support their analysis with appropriate evidence and academic literature.
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Digital Forensics / Cybersecurity
2,000 words
AI-Augmented Digital Forensics Workflow Audit: Feasibility and Risk Assessment of ForensiScan AI
This digital forensics assessment examines the feasibility, reliability and legal risks associated with introducing AI-assisted analysis into a conventional forensic investigation workflow. Students act as a Lead Forensic Consultant assessing a proposed black-box system called ForensiScan AI, which claims to automatically classify illicit images and identify suspicious intent within encrypted messaging applications using Large Language Models. The central objective is to determine whether the efficiency benefits of AI can be achieved without compromising evidential integrity, transparency or legal defensibility. The report maps the proposed AI system across the four stages of the NIST forensic process: Collection, Examination, Analysis and Reporting. For each phase, students identify the data entering and leaving the AI system and determine whether the technology should be used for preliminary triage or as part of final forensic analysis. A major component concerns verification and validation. Because AI systems may hallucinate or misclassify evidence, students must design a ground-truth protocol involving human verification, statistical sampling and known datasets. The assessment also investigates whether AI-generated results can be reproduced reliably when identical evidence is processed again. The report further addresses chain of custody and data integrity, particularly whether AI processing could alter timestamps, metadata or other forensic artefacts. Ethical and legal analysis covers potential model bias, language and contextual limitations, and whether AI-generated outputs could satisfy the requirements of the Daubert Test for expert evidence. Overall, the assessment combines digital-forensic architecture, AI governance, evidential integrity, model validation, legal admissibility and professional accountability. The grading criteria place particular emphasis on forensic soundness, protection against evidence alteration, critical analysis of AI limitations such as hallucination and non-determinism, and professional technical communication. Overview word count: approximately 340 words. AI-use note: the brief permits AI only for limited assistance such as brainstorming risks, structural feedback and grammar refinement. It explicitly prohibits full report generation, unverified forensic claims and using AI to substitute for the student's own final recommendation or verification protocol. Any AI use requires an appendix containing the tool, exact prompts and a human verification log.
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Business Intelligence / Data Analytics / Project Management
Business Intelligence and Data Analytics for Project Progress Evaluation
This assessment for the Data Analytics and Project Management for Business Intelligence module requires students to critically evaluate the progress of a live-style project through the application of business intelligence and data analytics techniques. Working as a group of Project Analysts, students select either a Convocation project or Concert project associated with Northumbria University London and prepare a professional presentation assessing its progress, stakeholders, deliverables and performance. The assessment begins with development of a clear project problem or opportunity statement, followed by identification and analysis of the key stakeholders and deliverables associated with the selected project. Students then use Business Intelligence and Data Analytics techniques to examine project progress and communicate findings through dashboards. The assessment permits the use of Microsoft Excel or other suitable software for dashboard development. A central part of the task is the creation and critical evaluation of a project dashboard. Students are expected to use realistic assumed or projected data where necessary, as the assessment is designed to test the ability to design, interpret and critically evaluate dashboards rather than the accuracy of real project data. The data should therefore be internally consistent, relevant to the selected project and capable of generating meaningful management insights. Students must also critically justify their chosen BI and analytics tools, explaining how the dashboard supports project monitoring and informed decision-making. The assessment concludes with recommendations for the successful implementation and use of a Business Intelligence or Data Analytics solution within the selected project. Academic references and relevant examples should be used to support the analysis. The marking criteria place the greatest emphasis on application of BI tools and techniques (30%), followed by stakeholders and deliverables (20%) and justification of BI tools (20%). Project and opportunity analysis, conclusion and recommendations, and presentation and referencing each contribute a further 10%. Higher-performing work is expected to demonstrate critical evaluation, meaningful dashboard insights, strong theoretical or industry justification and professionally presented recommendations. If the file you want to upload is the resubmission report instead Use the same University, Subject and Module Name, but change these fields: Title: Business Intelligence and Project Analytics: Individual Critical Analysis of Project Performance Assignment type: MS Technical and Scientific Writing Word count: 1,500–2,000 words Key topics: Business Intelligence, Data Analytics, Project Management, Stakeholder Analysis, BI Tools, Dashboard Evaluation, Project Opportunity Analysis, Project Deliverables, Critical Analysis, Project Recommendations The resubmission is an individual written report in which the student selects only one area from the original project—Project & Opportunity Analysis, Stakeholders & Deliverables, Application of BI Tools & Techniques, Justification of BI Tools, or Conclusion & Recommendations—and develops it in depth. It should use the same Convocation or Concert project context while demonstrating independent critical analysis, reflection and application of theory.
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Business Management / Strategic Management
50,000 words
Starbucks Labour Relations and Unionisation: Strategic Business Consultancy Analysis
his Masters-level Business Project presents a strategic consultancy analysis of Starbucks, focusing on the company's ongoing labour-relations challenges, unionisation disputes and associated legal, operational and reputational implications. The project examines how employee relations and organised labour can develop from a human-resource concern into a wider strategic management issue affecting corporate governance, organisational performance, stakeholder trust and long-term brand value. The report follows the consultancy structure required by the Business Project assessment, beginning with identification of a current organisational challenge and the resulting issues affecting the client organisation. The official brief requires the selected challenge to be connected with current affairs, emerging industry trends and the organisation's wider business strategy. It also requires evaluation of both internal and external stakeholders and analysis using conceptual and numerical secondary data. In the completed project, Starbucks' labour dispute and unionisation environment are examined through several strategic-management frameworks. PESTLE analysis is used to assess political, economic, social, technological, legal and environmental influences surrounding labour relations. SWOT analysis evaluates Starbucks' organisational strengths, weaknesses, opportunities and threats, while Porter's Generic Strategies considers the relationship between differentiation, competitive positioning and labour-management practices. The project also applies stakeholder analysis to groups including senior leadership, employees, unions, regulators, customers, investors and other external stakeholders. A major part of the analysis considers stakeholder power, interest, legitimacy and urgency. The assessment brief specifically requires students to identify internal and external stakeholders, assess their power and interests, and evaluate how the investigated business challenge affects each stakeholder group. The project concludes with evidence-based strategic recommendations designed to improve labour relations, governance and organisational resilience. Recommendations include strengthening good-faith bargaining, developing more consistent labour-governance practices, improving workforce systems and employee participation, incorporating labour-relations indicators into ESG and corporate reporting, and adopting a coordinated legal and reputation-management strategy. Overall, the work demonstrates the application of strategic management, stakeholder analysis, corporate governance, HRM and secondary-data evaluation to a contemporary organisational challenge. The official assessment requires recommendations to arise directly from the critical analysis and to explain how they create strategic value for the client organisation and its wider industry. The completed submission itself is titled Business Project and focuses on Starbucks; its contents include the organisational challenge, purpose of the report, stakeholder impact, secondary-data evaluation, and recommendations and conclusion.
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Management / Business Management
5,000 words
Principles of Management: AstraZeneca Management Analysis and Skills Development Report
This Masters-level Principles of Management assignment examines the management practices, organisational environment and managerial functions of AstraZeneca plc. The assessment is structured as a 5,000-word management report in which the student acts as a business consultant and critically evaluates how management theories, concepts and practices contribute to organisational performance and value creation. The work requires the application of relevant academic literature alongside case-study evidence and independent research on AstraZeneca. The first part of the assessment considers key management theories and practices. Students are expected to examine how management contributes to AstraZeneca's success, apply an appropriate dimension of the Competing Values Framework, and select an additional relevant management theory. Suggested theoretical perspectives include Scientific Management, Bureaucratic Theory, Administrative Theory, Contingency Theory and Total Quality Management, although students are encouraged to select theories most appropriate to the organisation rather than applying every available model. The assignment also evaluates AstraZeneca within the global business environment. Frameworks such as LoNG-PEST or Porter's Five Forces may be used to analyse global, national and local influences, including significant opportunities and threats. Students then critically analyse an internal organisational challenge and consider how the core management functions of planning, organising, leading and controlling can be applied to address it. Supporting analytical approaches may include Value Chain analysis, VRIO and stakeholder analysis. A further component focuses on personal and professional development. Students complete a Personal SWOT analysis and construct a Skills Development Plan linked to future career aims. This is followed by a 500-word reflective statement examining personal management competencies, including self-management, problem-solving and decision-making. An appropriate reflective framework, such as Borton, Kolb or GROW, is applied to structure the reflection. Overall, the assessment integrates management theory, organisational analysis, global business considerations, managerial decision-making and reflective professional development. It is designed to demonstrate Level 7 critical analysis and the practical application of management concepts to a contemporary multinational organisation. The wider module covers management theories, stakeholder management, global management, planning and decision-making, human resource management, leadership, operations and finance for managers
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Artificial Intelligence
2,000 words
End-to-End Applied AI Development — Comparative Machine Learning and Neural Network Modelling on a Public Dataset
This assessment runs a complete applied AI development cycle end to end: problem definition, dataset selection, preprocessing, model building, optimisation, evaluation and critical reflection. Students identify a real-world problem themselves, formulate a research question from it, and source a suitable dataset from a recognised public repository such as UCI, Kaggle, Data.gov or OpenML. Dataset choice carries more weight than students expect. It must be genuinely suitable for supervised learning, complex enough to make preprocessing and feature engineering meaningful, and — critically — structured so that a traditional machine learning approach and a deep learning approach can be sensibly compared on it. A dataset too small or too clean makes the neural network component pointless; one too large or too noisy makes the whole pipeline unfinishable within the page limit. The source must be referenced and the choice explicitly justified against the research problem. The modelling requirement is fixed: at least two supervised machine learning models, plus one artificial neural network built in a mainstream deep learning framework, all trained and tested. The comparison between them is the analytical core of the work. Reporting that the neural network scored higher is not an answer; explaining why, in terms of the data's structure and each model's inductive assumptions, is. Marks are distributed across problem framing, the traditional models, the deep learning model, evaluation and critical analysis including responsible AI considerations, and academic communication. That responsible AI component is easy to overlook and is not decorative — it asks what the model's limitations mean for anyone who might rely on it. Presentation requirements are specific. The report is page-limited rather than purely word-limited, and every plot must be described in the text while also being legible enough to communicate on its own — a common failure is dense default library output pasted in without axis labels or scale. The implementation is documented in a notebook combining markdown and code cells so the development process is visible, not just the final result, and submissions typically include the cleaned dataset alongside the code. The strongest submissions treat the notebook and the report as one argument. Weaker ones produce a working notebook and then write a report that describes it, rather than a report that uses it as evidence. Our support on assessments of this type is guidance-based. Typical areas of help include: advising on whether a candidate dataset can actually support the required model comparison, explaining how to justify preprocessing decisions, clarifying which evaluation metrics suit which problem type and why accuracy alone is often misleading, showing how to structure a critical limitations and responsible AI discussion, checking Harvard referencing, and reviewing a student's own draft against the published marking criteria.
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Operations and Supply Chain Management
1,800 words
Strategic Sourcing and Supply Chain Resilience Under Global Uncertainty — A Firm-Level Critical Evaluation
This type of postgraduate coursework asks students to take a single real firm — a British company, or a multinational with substantial UK operations — and critically evaluate how its sourcing and supply chain strategy has adapted to a decade of sustained disruption: the pandemic, geopolitical conflict, tariff volatility, and departure from the European single market. The analytical scope is broad but the depth expectation is narrow. Students choose one or two themes rather than surveying all of them: insourcing versus outsourcing and location decisions; single versus multi-sourcing across supplier segments or regions; how supplier selection and monitoring criteria have shifted toward reliability and geographic proximity; alignment between sourcing decisions and wider corporate objectives; supplier and customer relationship management under cross-border friction; inventory tactics such as stockpiling and safety stock repositioning; digital adoption for visibility and compliance; sustainable sourcing under cost pressure; or risk management around currency, customs and compliance. The evidence base is deliberately mixed. Alongside academic literature, students are expected to draw on annual reports, shareholder briefings, company statements, practitioner journals and recent news coverage — with a minimum spread of credible sources across both categories, and some of the non-academic material drawn from the most recent year so the analysis reflects current firm behaviour rather than historical commentary. At least one theoretical framework from the module or the wider literature must be applied to the firm's decisions, and at least one recent documented practice must be examined with specific sourcing. Two requirements distinguish strong submissions. The first is criticality: the brief explicitly separates evaluation from description, and marks weight critical analysis most heavily. Reporting what a firm did is not the task; assessing whether it was the right response, and what opportunities and risks it created, is. The second is the recommendation — at least one specific, actionable proposal with steps, anticipated obstacles, expected outcomes, and a clear line back to the firm's own stated goals. A generic suggestion to "diversify suppliers" fails this test; a costed, sequenced proposal grounded in the firm's actual constraints does not. Word-count conventions are stricter than students often expect: in-text references, tables, illustrations and front matter typically count, while appendices and the reference list do not. Our support on assessments of this type is guidance-based. Typical areas of help include: narrowing a firm and theme so the analysis fits the word limit, explaining the difference between description and critical evaluation with worked examples, clarifying how a theoretical framework should structure an argument rather than sit decoratively in a paragraph, checking source mix and Harvard referencing consistency, and reviewing a completed draft against the published assessment weightings.
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Research Methods (Computer Science / Systematic Literature Review)
500 words
Interim Report – Research Methods (7COM1085)
This assignment is an Interim Report for the Research Methods module (7COM1085). The purpose of the report is to demonstrate that the research team has identified a suitable Computer Science research topic and developed a systematic literature review protocol that can be used for the final dissertation or research project. Students are required to formulate a clear and well-justified research question, define the associated PICO (Population, Intervention, Comparison, Outcome) elements, create an IEEE Xplore Boolean search strategy, and establish appropriate inclusion and exclusion criteria for selecting academic literature. The report must also provide background information on the chosen research area and justify the importance of the research question using relevant scholarly sources. The interim report should follow a structured academic format consisting of an Introduction, Background, Literature Review Protocol, and Bibliography. Students must use Harvard referencing throughout the report and ensure that all citations are properly integrated within the text. The report should demonstrate consistency between the research question, search strategy, and selection criteria while maintaining a professional academic presentation. The main body of the report must not exceed 500 words, although supporting materials such as search results, screenshots, and other evidence may be included in appendices. The assignment is designed to assess students' understanding of research methodologies, systematic literature reviews, critical analysis of academic sources, and their ability to design a rigorous research protocol for a Computer Science investigation.
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