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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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1,000 words
Organisational Strategy and Sustainability: Strategic and Sustainability Analysis of Engineers & Planners Company Ltd
This formative Organisational Strategy and Sustainability assessment requires students to act as a management consultant for BPP Consulting Group and provide a strategic and sustainability evaluation of ENGINEERS & PLANNERS COMPANY LTD for its Board of Directors. The task focuses on how internal capabilities, external market forces, sustainability pressures, ethical practices and responsible leadership shape the organisation’s strategy within an increasingly global business environment. Formative Assessment - Organisa… ENGINEERS & PLANNERS COMPANY LTD is described as a Ghanaian-owned mining and construction contracting company, established in 1997 and headquartered in Accra. Its activities include contract mining, road construction, tailings-dam construction, land reclamation and hard-rock mining, with operations in Ghana and Liberia. The company also owns Dzata Cement, a cement manufacturing facility in Tema with an annual production capacity of approximately 2.3 million metric tons. Formative Assessment - Organisa… Formative Assessment - Organisa… The formative task addresses the first two learning outcomes of the summative assessment. LO1 – Strategic Environmental Analysis requires a brief but critical evaluation of the organisation’s internal resources and capabilities together with its external environment. Students should use one internal and one external strategic framework, with examples including PESTEL or Porter’s Five Forces, identify internal competencies, opportunities and threats, and consider how the organisation might respond to dynamic market forces in regions such as the European Union, Asia or North America. Sources of competitive advantage should also be identified from the internal analysis. Formative Assessment - Organisa… Formative Assessment - Organisa… LO2 – Ethical, Sustainable and Responsible Practices requires students to assess how ENGINEERS & PLANNERS COMPANY LTD could integrate CSR, sustainability or ethical practice into its wider business strategy. The brief recommends applying one framework such as the Triple Bottom Line or Sustainable Supply Chain Management. The discussion should connect the sustainability analysis back to the strategic issues identified under LO1. Formative Assessment - Organisa… Formative Assessment - Organisa… Students are also expected to consider how leadership shapes the organisation’s sustainability response, including engagement with stakeholders such as suppliers, customers and NGOs and the influence of regulatory frameworks such as the UN Sustainable Development Goals and relevant European Union legislation. One specific sustainability initiative should be briefly considered, such as product lifecycle management, eco-design, renewable-energy integration or supply-chain transparency. Formative Assessment - Organisa… The recommended report structure consists of an introduction, LO1 Strategic Environmental Analysis, LO2 Ethical, Sustainable and Responsible Practices, and a conclusion summarising recommended strategic and sustainability improvements. Suggested allocations are approximately 50 words for the introduction, 450 words for LO1, 450 words for LO2 and 50 words for the conclusion. Formative Assessment - Organisa… The total submission limit is 1,000 words, with the main body subject to the word-count restriction. The work must use third-person academic writing, professional formatting, appropriate tables and figures, and consistent Harvard citations. Formative Assessment - Organisa… Higher-quality work is expected to go beyond descriptive use of strategic models by critically evaluating the organisation’s internal and external environment, identifying key drivers of change, considering global and local influences on strategic choices, and linking sustainability and responsible-business practices to stakeholder expectations and regulatory pressures. Formative Assessment - Organisa… Formative Assessment - Organisa…
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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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Strategic Management / Sustainability / Responsible Leadership
2,500 words
Organisational Strategy and Sustainability: Strategic Evaluation of Engineers & Planners Company Ltd
This Consultancy Project Proposal assessment requires students to develop a professional and feasible research proposal addressing a current organisational issue or business challenge affecting an existing organisation. The work combines critical business analysis with research design, secondary-data methodology, ethics and visual communication through an accompanying one-page digital poster. MSc Management Summative Assess… The first task requires students to introduce the selected organisation and critically examine between one and three current challenges. The discussion must be evidence-based and supported by recent sources. Stronger work should connect the identified issues to current affairs, recent news, Sustainable Development Goals and relevant academic or company evidence. MSc Management Summative Assess… The second task requires development of a clear research aim, three objectives and, for stronger submissions, one or two research questions. Students must demonstrate awareness and application of research methodology using secondary research only, while incorporating both qualitative and quantitative approaches. The research design should be directly connected to the selected organisational challenges. MSc Management Summative Assess… The third task focuses on the research plan and ethical considerations. Students must explain ethical issues associated with secondary-data collection and support the discussion using credible literature. The accompanying poster should present a coherent research plan and demonstrate effective data-analysis and data-presentation skills through relevant graphs, charts, tables or descriptive statistics. MSc Management Summative Assess… The fourth task assesses the student's ability to critically organise and synthesise information into a coherent proposal. The written report should use recent, credible sources, while the poster should include a short reflection on challenges encountered when synthesising evidence for the proposed study. MSc Management Summative Assess… The report must be written in the third person and use Harvard referencing. The proposed structure allocates approximately 150 words to the introduction, 400 words to the challenge discussion, 150 words to the research aim and objectives, 500 words to methodology, 200 words to ethical considerations and 100 words to the conclusion. The digital poster has no formal word count but must fit on a single A4 page and use a readable 10–12 point font. MSc Management Summative Assess… MSc Management Summative Assess… Overall, the assessment develops skills in consultancy problem definition, research design, secondary-data analysis, mixed-method thinking, ethical research practice, critical synthesis and professional visual communication.
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Business Consultancy Project: Strategic Analysis, Stakeholder Evaluation and Evidence-Based Recommendations
Business Consultancy, Strategic Management, Business Analysis, Consultancy Project, Stakeholder Analysis, Mendelow Matrix, Business Strategy, Data Analysis, Secondary Research, SWOT Analysis, PESTLE Analysis, Porter’s Five Forces, Balanced Scorecard, Ethics, Sustainability, UN Sustainable Development Goals, Recommendations, Risk Analysis, Implementation Barriers, Organisational Strategy, Business Problem Solving, Employability Skills, Professional Development, Reflective Practice, Project Management, Evidence-Based Decision-Making
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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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Supply Chain Operations and Logistics Management
3,000 words
Critical Review of Global Logistics: Supply Chain Strategy, Resilience and Sustainability
This postgraduate logistics assessment requires students to conduct a critical review of the global logistics operations and strategies of a selected multinational manufacturing organisation. The chosen company must operate internationally and have sufficient publicly available information to support detailed academic and industry research. The report examines how global manufacturers structure, manage and improve their upstream and downstream logistics channels in increasingly complex and uncertain supply-chain environments. Component_2_NBS_7054A_25_Report… The first part analyses the organisation’s upstream and downstream logistics channels and evaluates the logistics strategies it has adopted. Particular attention is given to how the organisation responded to disruption caused by the COVID-19 pandemic. Students examine how supply-chain networks were reconfigured and how logistics strategies were adapted to maintain operations, while explicitly relating these responses to relevant performance objectives and supply-chain dimensions. Component_2_NBS_7054A_25_Report… The second part focuses on value creation within global logistics networks. Students evaluate how supply-chain intermediaries contribute to value co-creation while balancing operational costs and reducing waste or Muda. The analysis also considers how communication and information sharing support the objectives of the organisation’s marketing channel network and identifies lessons learned from pandemic-related disruption. Component_2_NBS_7054A_25_Report… The final section examines how the organisation can strengthen the sustainability of its logistics operations. Students assess the feasibility of aligning circular economy principles and Industry 4.0 technologies with existing inbound and outbound logistics activities. Relevant issues include reduced material use, reuse, repair, refurbishment, alternative transport modes, carbon-footprint reduction and environmental efficiency. Students must also recommend operational decisions that apply innovation-led lean approaches to sustainability initiatives. Component_2_NBS_7054A_25_Report… The marking criteria place 25% of the assessment on logistics theories and strategies, 35% on value co-creation, communication and resilient logistics networks, and 40% on circular economy, Industry 4.0 and sustainability recommendations. Marking_Criteria_NBS_7054A_25_R… Overall, the assessment integrates global logistics strategy, resilience, lean operations, digitalisation, sustainability and evidence-based supply-chain decision-making within a real organisational case study. Overview word count: approximately 340 words.
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Data Science / Data Management / Professional Practice
4,500 words
Tesla Data Science Professional Case Study: Data Management, Leadership, Entrepreneurship and Ethics
This composite case-study assessment for The Data Science Professional module requires students to critically analyse Tesla from several interconnected professional perspectives, including data management, artificial intelligence ethics, leadership, organisational development, entrepreneurship and business risk. The coursework is designed to combine technical data-science capability with strategic, ethical and managerial decision-making. a82a1aa6a2e7a3268ad021c4f5b3d44… Part A – Database Design and Distributed Frameworks focuses on data management. Students design an Entity-Relationship model and relational schema for a Tesla-related vehicle-hire business, identifying entities, relationships, cardinalities, identifiers, primary keys and foreign keys. The accompanying guidance specifies entities relating to vehicles, employees, outlets, clients, hire agreements, insurance, faults and employment records. a82a1aa6a2e7a3268ad021c4f5b3d44… 39cdc24cc46a13ddf444b8e7af838eb… The SQL component uses an Online Music database to examine Tesla customer preferences. Students create relational tables using Oracle standard SQL and write queries involving users, music, publishers, categories and download records. Evidence of implementation and query results must be provided using Oracle Live SQL. 39cdc24cc46a13ddf444b8e7af838eb… Part A also requires a critical assessment of the security, privacy and ethical implications of Tesla’s Full Self-Driving technology, connecting technical development with responsible data and AI practice. a82a1aa6a2e7a3268ad021c4f5b3d44… Part B – Leadership and Developing People requires critical evaluation of Tesla’s leadership model, organisational culture and their effects on employees and organisational performance. Students must propose a leadership and people-development strategy capable of supporting the organisation as it expands. a82a1aa6a2e7a3268ad021c4f5b3d44… Part C – Entrepreneurial Practice and Managing Risk examines a proposed Tesla spin-out venture developing innovative low-cost green hydrogen production systems. Students critically assess management support for the venture, propose an evidence-based approach to entrepreneurial risk, develop an entrepreneurial leadership role descriptor, and evaluate how GDPR and AI/data ethics may support or constrain entrepreneurial practice. a82a1aa6a2e7a3268ad021c4f5b3d44… Overall, the assessment integrates technical database design, SQL, data ethics, organisational leadership, entrepreneurship, sustainability and professional decision-making within a single Tesla-focused case study. Overview word count: approximately 360 words. Important: the assessment brief itself explicitly states that it must not be passed to third parties or posted on any website. So for a public Reference Library, use the metadata and your own finished work where permitted, but do not upload the assessment brief/guidance PDFs themselves publicly. a82a1aa6a2e7a3268ad021c4f5b3d44… The AI status is Amber: generative AI may be used for limited inspiring/planning purposes, but usage must be acknowledged with the tool, prompts and relevant evidence; the brief also specifically prohibits using LLMs to generate the Part A(3) essay. a82a1aa6a2e7a3268ad021c4f5b3d44… a82a1aa6a2e7a3268ad021c4f5b3d44…
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Machine Learning / Cloud Computing / Artificial Intelligence
4,004 words
Cloud-Based Machine Learning for Financial Fraud Detection
This Machine Learning on Cloud assessment requires students to design, implement and critically evaluate a cloud-oriented machine-learning solution for financial fraud detection. Working as a group, students address a scenario in which a financial-services organisation requires an automated model capable of detecting fraudulent transactions, reducing financial losses and improving customer security. The project combines machine-learning development with critical evaluation of cloud infrastructure, data preparation, model performance and responsible AI considerations. NUL - LD7187 -Assessment Brief … The project begins with a cloud feasibility study comparing at least two major machine-learning platforms such as Microsoft Azure, Amazon Web Services and Google Cloud Platform. Students evaluate factors including performance, scalability, cost, compliance, system integration and vendor lock-in before providing a justified recommendation. The project then moves into Exploratory Data Analysis, where patterns, anomalies and correlations within the fraud dataset are investigated using visualisations such as heatmaps, histograms and boxplots. NUL - LD7187 -Assessment Brief … A substantial part of the assessment focuses on data preprocessing and class imbalance. Students are expected to clean and transform the dataset, apply scaling and encoding, perform feature engineering and investigate techniques such as SMOTE, undersampling and cost-sensitive learning. These decisions must be justified in terms of their potential effect on predictive performance. NUL - LD7187 -Assessment Brief … Students must then select and train at least two machine-learning models. Suggested algorithms include Logistic Regression, Random Forest, XGBoost and Neural Networks. Appropriate cross-validation and hyperparameter-tuning procedures should be applied, followed by systematic evaluation using precision, recall, F1-score, AUC and precision-recall curves. Supporting visualisations should include confusion matrices, ROC curves and feature-importance analysis. NUL - LD7187 -Assessment Brief … The final component addresses professionalism and ethics in cloud-based AI, including bias, fairness, transparency, data privacy and environmental sustainability. Overall, the project integrates cloud-platform selection, exploratory analytics, preprocessing, imbalanced-data handling, predictive modelling, model evaluation and ethical AI into an applied financial fraud-detection solution. NUL - LD7187 -Assessment Brief … Note: the uploaded brief does not explicitly name a referencing system. If your portal requires a selection, I would use Not specified rather than assume Harvard.
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Machine Learning / Cloud Computing
2,000 words
Technical Evaluation and Professional Reflection on a Cloud-Based Machine Learning Fraud Detection Solution
This postgraduate individual assessment critically evaluates a cloud-based machine learning solution for financial fraud detection developed as part of a preceding group project. The scenario concerns a financial services organisation seeking to detect fraudulent transactions in order to reduce financial losses and strengthen customer security. The individual report requires students to examine both the technical quality of the developed solution and their own professional contribution to the project. NUL - LD7187 -Assessment Brief … The first component, Technical Evaluation, accounts for 50% of the assessment and has a suggested allocation of approximately 1,000 words. Students critically analyse the group solution with particular attention to data preprocessing, machine learning model choices, evaluation metrics and technical limitations. The analysis should go beyond description by explaining how specific modelling and design decisions influenced the final outcomes of the fraud-detection system. NUL - LD7187 -Assessment Brief … The second component, Reflection and Professional Issues, also accounts for 50% and is approximately 1,000 words. Students critically reflect on their personal contribution, teamwork experience, challenges encountered and lessons learned during the project. The discussion also addresses wider professional and ethical considerations associated with AI and cloud-based machine learning, including bias, fairness, sustainability and data privacy. NUL - LD7187 -Assessment Brief … The assessment is designed to demonstrate critical understanding of machine learning methods, cloud-computing architectures, practical development of machine learning solutions and awareness of the social, ethical and sustainability implications of AI technologies. A Seminar Activity Tracker must also be included as an appendix to provide evidence of weekly participation and knowledge development. NUL - LD7187 -Assessment Brief … NUL - LD7187 -Assessment Brief … Higher-level performance requires a comprehensive connection between technical decisions and outcomes alongside deep reflection on teamwork, professional development, ethics, fairness and sustainability. NUL - LD7187 -Assessment Brief … Overview word count: approximately 300 words. AI-use note: the brief permits AI for limited support such as grammar improvement, structure, organising ideas and suggestions. The student's main content, analysis and conclusions must remain their own, and any AI use must be declared. NUL - LD7187 -Assessment Brief …
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Leadership and Professional Development
2,500 words
Leadership Mindset – Professional Development Portfolio
This assessment is a Leadership Mindset Professional Development Portfolio designed to encourage students to think strategically about their career development, align their professional goals and demonstrate leadership potential. The assessment focuses on self-awareness, strategic planning, professional behavioural skills and the ability to develop an ongoing process of personal and professional growth. Students are required to complete a Portfolio through PebblePad, equivalent to 2,500 words. The portfolio is assessed on a Pass/Fail basis and students must complete all required sections before downloading the completed portfolio and submitting it through Turnitin. The portfolio does not require academic referencing because it is a self-reflection and professional development assessment. The portfolio consists of several key components, including a personal SWOT analysis, evidence of communication requesting feedback, a Personal Development Plan (PDP), a CV and a cover letter. The SWOT analysis requires students to identify their strengths, weaknesses, opportunities and threats in order to understand their current skills, identify development gaps and recognise opportunities for improvement. Students must also reflect on the Professional Development Pyramid or another suitable professional development model and select three behavioural skills or competencies they wish to develop. Examples include strategic thinking and leadership. Feedback must be requested from four to six people from the student's personal and professional network, such as family members, friends, peers, mentors, employers or colleagues. This feedback is then used to support the student's development priorities. The action-planning section requires students to reflect on the feedback received and identify three development priorities or goals. For each priority, at least two SMART actions must be established. The action plan should include specific steps, timelines and required resources, while also identifying potential obstacles and explaining how these obstacles may be addressed. The goals and actions should demonstrate a clear connection between the student's self-reflection, feedback and professional development objectives. The final reflection considers the value of the PebblePad portfolio process in shaping personal and professional growth. Students are expected to demonstrate an in-depth understanding of self-development and explain how their development process can be reviewed, revised and adapted for continuing professional growth. The assessment learning outcomes focus on reflection on personal strengths and areas for improvement, advanced critical thinking, problem-solving and decision-making, intercultural communication, inclusivity and sustainability, interview and presentation competencies, and the ability to articulate an adaptable self-development process. The marking criteria emphasise self-reflection, clarity of goals, strategic action planning, persuasive understanding of professional development, and clear and professional presentation.
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Environmental Sustainable Engineering
3,000 words
Environmental Sustainable Construction & Logistic Sources – EG7037
This coursework assesses Environmental Sustainable Engineering and Logistic Sources through a large-scale construction project scenario. The student is appointed as the project manager for a £320 million design-and-build project involving the development of a new shopping centre in central London. The project is planned over a 48-month period and is presented as a flagship initiative focused on environmentally friendly and sustainable construction practices, with government support for its sustainability commitments. The project manager is responsible for protecting the client's interests while ensuring that project standards, schedules, budgets, procurement requirements and quality expectations are achieved. The assignment is structured around environmental sustainability, construction logistics, procurement, renewable energy, health and safety, and sustainable design. Part A requires investigation of the environmental, economic, historical and cultural factors that could contribute to significant project costs and delays. It also requires discussion of four renewable or sustainable energy sources that could be used within the project, together with justification for each selected energy source. These activities require consideration of the project's location, sustainability objectives and practical construction requirements. Part B focuses on supply chain management and health and safety. Students must outline the supply chain management and procurement process for the material resources required for the construction project. This includes consideration of how appropriate materials and suppliers can be sourced and managed. The section also requires identification of key health and safety considerations during the production phase and discussion of the associated risks. Part C focuses on sustainable design systems. Students must discuss the need for implementing passive or active systems during the design stage and identify appropriate tools or techniques that can support their application. The potential environmental impacts of these systems must also be considered. The assignment therefore requires students to connect sustainable design decisions with environmental performance and the wider objectives of the construction project. The completed coursework should be approximately 3,000 words, excluding appendices and labelled diagrams or sketches. Students are expected to provide a well-researched and clearly structured written account using appropriate textbooks and other relevant sources. Images, photographs and diagrams should include captions and be cross-referenced within the text. The submission should include a conclusion and a properly cited bibliography or reference list. References must follow the Cite Them Right requirements. The coursework is submitted electronically through the designated Turnitin link.
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Operating Systems and Networks
2,000 words
Security of Operating Systems and Networks – Individual Assignment
This individual assignment focuses on the security of operating systems and computer networks. Students are required to produce a professional technical report of approximately 2,000 words demonstrating a deep and systematic understanding of operating-system security, networking functions, security threats, vulnerabilities and practical security testing. The assessment carries 50% and forms 100% of the module assessment. Students are expected to support their work with appropriate technical evidence, images showing practical steps and relevant sources. The assignment uses a business scenario involving Net-Tech, a small and medium-sized technology-services enterprise. The organisation is concerned about the security of its proposed system, including operating-system attacks such as buffer overflow and network threats such as hacking and phishing. Students are required to investigate, design and experiment with the features and functions of a web server used to serve the company's website, while assessing the security landscape and presenting findings that can support appropriate organisational security decisions. As part of the practical work, students must create a prototype Net-Tech network test rig. This includes creating two users, with one configured as a superuser and another as a standard user, applying appropriate baseline security measures, installing suitable software and identifying vulnerabilities, using appropriate tools to conduct security tests, and writing scripts to automate repetitive tasks. Students must document assumptions and parameters used within the project, including further security implementations and recommendations such as the use of a suitable database for a database-driven website. The report is structured around introduction, background research, pre-engagement, engagement and post-engagement activities. The introduction should explain the business scenario, assumptions, aims, objectives, deliverables, available skills and resources, constraints and project plan. The background research should address common vulnerabilities, threats, risk models, security-testing approaches, relevant attack and testing tools, legal and organisational requirements, and ethical, social, professional and sustainability considerations. The pre-engagement section covers the test-rig setup and testing strategy. The engagement section requires practical comparison and demonstration of operating-system and network security, including user authentication, file and directory permissions, protection against stack-overflow attacks, network weaknesses, operating-system discovery, firewalls, listening ports, network statistics, prevention of denial-of-service attacks and scripting for automation. The post-engagement section requires a summary of the work, deductions and limitations, mitigation measures and recommendations, and personal reflection. The assessment requires students to use relevant sources, provide a bibliography and demonstrate appropriate analysis, evaluation and reflection. The assignment is designed to assess learning outcomes relating to knowledge of network security threats and the development of complex software and scripts relevant to operating systems and computer networks.
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Digital Marketing
Three Weekly Digital Marketing Tutorial Challenges
This assessment consists of three weekly digital marketing tutorial challenges designed to develop practical skills in digital marketing, consumer insights, content creation, inclusive communication, ethical storytelling and campaign design. The assessment accounts for 45% of the module and requires students to apply digital marketing theory and consumer insight techniques in real-world marketing contexts. The activities are completed through tutorial-based learning, where students participate in discussions, receive tutor guidance and develop their work before submitting it through Canvas. The assessment focuses on applying consumer insights, data analytics tools and digital marketing strategies to create meaningful and responsible customer experiences. Challenge 1, titled “Are You Being Inclusive?” – Brand Audit & Persona for Ethical Reach, focuses on ethical digital auditing and inclusive persona design. Students select a brand from their home country and evaluate the inclusiveness and accessibility of its digital marketing across its website, social media and paid advertising. They then develop two to three detailed customer personas representing underserved or marginalised customer groups. Students also use AI analytics tools such as Google Trends, SparkToro or simulated AI insights to identify audience behaviours and preferences. The challenge is linked to SDG 10 – Reduced Inequalities and includes consideration of the ethics of using AI in digital marketing and its effect on the credibility of consumer insights. Challenge 2, titled “Don't Just Capture Attention – Respect It” – Campaign Idea Pitch, focuses on sustainable branding and growth. Students research the client's existing branding, examine opportunities to expand or sustain its audience and use consumer insight tools such as Google Trends, reviews and surveys to understand public perceptions. Students then create a visual mini-campaign promoting sustainable and transparent brand messaging, including social media content and AI-generated visuals. The campaign is connected to SDG 16 – Peace, Justice and Strong Institutions. Challenge 3, titled “Create, Educate, Disseminate & Evaluate”, develops digital social marketing and consumer engagement. Students extend the campaign developed in Challenge 2 into an interactive digital event that promotes positive behavioural change and educates audiences about a social issue. The activity must consider audience interests, increase interactivity and engagement, and provide evidence of positive engagement. This challenge is linked to SDG 4 – Quality Education. Overall, the assessment develops students' ability to combine digital marketing strategy, consumer insights, ethical considerations, sustainability and creative campaign design in practical marketing activities.
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Organisational Strategy and Sustainability
2,473 words
Strategic Evaluation of Hindustan Unilever Limited (HUL): Organisational Strategy and Sustainability
This 2,473-word MSc Management coursework for BPP University’s Organisational Strategy and Sustainability module examines the strategic, sustainability and leadership dimensions of Hindustan Unilever Limited (HUL). The report applies the module’s learning outcomes through four main areas: strategic environmental analysis, ethical and sustainable practice, evaluation of strategic options, and personal leadership and sustainability reflection. The assignment is structured around PESTEL and VRIO for strategic analysis, the Triple Bottom Line for sustainability evaluation, the Ansoff Matrix for strategic options, and Emotional Intelligence and Transformational Leadership for personal reflection. The first section evaluates HUL’s external and internal environment. PESTEL analysis considers political and legal requirements, economic pressures, social changes, technological developments and environmental risks. The report highlights issues including packaging regulation, extended producer responsibility, data privacy, commodity and energy volatility, rural–urban differences, AI-enabled operations, digital traceability, climate risk, water stress and packaging circularity. VRIO analysis then evaluates HUL’s purposeful brands and portfolio breadth, rural route-to-market, digital operations and analytics, and supplier development and sustainability governance as sources of competitive advantage. The second section assesses HUL’s ethical, sustainable and responsible practices through the Triple Bottom Line framework of People, Planet and Profit. The analysis considers workforce and community priorities, customer responsibility, renewable energy, emissions, water stewardship, waste and packaging, as well as productivity, efficiency, risk mitigation and sustainable growth. A specific packaging circularity transition is proposed, including design-for-recycling, post-consumer recycled content, lightweighting, refill and reuse pilots, collection partnerships and consumer education. The third section evaluates four strategic options using the Ansoff Matrix: urban refill and concentrate formats, rural assisted commerce through “Shakti 2.0”, an ingredient traceability platform, and precision revenue-growth management in quick-commerce. Each option is considered in relation to strategic fit, VRIO capabilities, risks, implementation actions, ownership and KPIs. The final section provides a first-person reflection on leadership and sustainability. It uses Goleman’s Emotional Intelligence and Transformational Leadership to examine learning from the strategic and sustainability analysis, including self-awareness, self-regulation, empathy, collaboration and evidence-based decision-making. It also presents a 90-day leadership development plan focused on decision briefs, stakeholder pre-mortems and a personal Triple Bottom Line checklist.
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Organisational Strategy and Sustainability
2,500 words
Strategic Evaluation and Analysis of Hindustan Unilever Limited (HUL)
This 2,500-word coursework for the MSc Management module Organisational Strategy and Sustainability requires a strategic evaluation and analysis of Hindustan Unilever Limited (HUL). The assignment is written from the perspective of a management consultant at BPP Consulting Group and is addressed to HUL’s Board of Directors. It focuses on HUL’s strategic management, sustainability initiatives and responsible leadership within a global business context. The report begins by examining HUL’s internal capabilities and external business environment. Students are required to apply one strategic model to analyse the internal environment and one model to assess the external environment, such as VRIO, PESTEL or Porter’s Five Forces. The analysis should identify internal competencies, external opportunities and threats, sources of competitive advantage, and the influence of global and local market dynamics on HUL’s strategic choices. Particular consideration may be given to key regions such as the European Union, Asia and North America. The second section evaluates HUL’s ethical, sustainable and responsible business practices. The brief requires the use of one framework, such as the Triple Bottom Line or Sustainable Supply Chain Management, to assess one selected area of CSR, sustainability or ethical practice. The discussion should consider stakeholder engagement, regulatory influences such as the United Nations Sustainable Development Goals and European Union legislation, and one HUL sustainability initiative such as product lifecycle management, eco-design, renewable energy integration or supply chain transparency. The third section critically evaluates HUL’s strategic responses to current and future challenges, including climate change, artificial intelligence and digital disruption. One strategic framework, such as the Ansoff Matrix, Blue Ocean Strategy or VRIO, should be applied to evaluate strategic options and their implications for long-term sustainability, competitiveness and market relevance. The final section provides a personal leadership and sustainability reflection. Students select one leadership model, such as Goleman’s Emotional Intelligence, Hofstede’s Cultural Dimensions or Transformational Leadership, and reflect on their learning from the previous sections. The reflection covers personal development, ethical, cross-cultural or sustainable leadership, career aspirations, and values-driven leadership. The report concludes by summarising recommended changes to HUL’s organisational strategy and sustainability initiatives. The assessment requires Harvard referencing and a professional academic structure. The main body has a 2,500-word limit, with suggested allocations of approximately 50 words for the introduction, 600 words each for LO1, LO2, LO3 and LO4, and 50 words for the conclusion. The cover page, contents, references and appendices are excluded from the word count.
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Consultancy Project
1,464 words
Enhancing Sustainable Supply Chain Practices through Digital Transformation: A Case Study of Unilever Plc
This consultancy project proposal examines how digital transformation can enhance sustainable supply chain practices at Unilever Plc. Unilever is presented as a multinational fast-moving consumer goods organisation operating across more than 190 markets, with a complex global supply chain and sustainability commitments linked to the United Nations Sustainable Development Goals. The proposal focuses on the challenges associated with achieving supply chain transparency, managing fragmented sustainability data, and balancing sustainable sourcing and operational costs. The project investigates how emerging digital technologies, particularly blockchain, the Internet of Things (IoT) and Artificial Intelligence (AI), could support greater transparency, traceability, operational efficiency and sustainability within Unilever's supply chain. The organisational analysis identifies issues including the complexity of tracing raw materials across multi-tier supply chains, fragmented procurement and sustainability information systems, and the tension between sustainability investments and short-term operational costs. The proposal also considers infrastructure readiness, data security and employee upskilling as factors affecting digital transformation. The research aims to examine how digital transformation technologies could improve sustainable supply chain planning at Unilever while supporting long-term business and environmental goals. Three objectives are established: examining sustainability challenges affecting Unilever's global supply chain, assessing how blockchain, IoT and AI could improve transparency, traceability and efficiency, and proposing strategic recommendations for integrating digital innovation into Unilever's sustainability framework. The central research question examines how digital transformation can contribute to an ethical, transparent and sustainable supply chain while maintaining operational efficiency. A qualitative exploratory case-study research design is proposed. The main emphasis is on secondary data, including Unilever's annual reports, sustainability information, digital transformation publications, company news, industry articles and analyst reports. Where feasible, primary data may be collected through semi-structured expert interviews and a short qualitative questionnaire. The proposed analysis includes thematic analysis, document review and descriptive statistics using relevant secondary numerical data. Validity is supported through triangulation, while reliability is addressed through consistent coding and an audit trail. The proposal also addresses ethical considerations, including research integrity, transparency, confidentiality, informed consent, anonymity, GDPR requirements, plagiarism avoidance, Harvard referencing and potential corporate bias or greenwashing. Overall, the project explores the potential contribution of digital innovation to Unilever's sustainability objectives and the wider responsible digitalisation of the FMCG supply chain.
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Technical Evaluation and Professional Reflection on a Cloud-Based Machine Learning Fraud Detection Solution
This individual technical evaluative report forms the reflective and critical component of the Machine Learning on Cloud module. It builds directly upon a group project involving the development of a machine learning solution for financial fraud detection. The report requires each student to critically evaluate the technical decisions made within the group solution while also reflecting on their individual contribution, teamwork experience and professional development. The first component, Technical Evaluation, accounts for 50% of the individual assessment and has a suggested allocation of approximately 1,000 words. Students critically examine the group’s machine learning solution, including the approaches adopted for data preprocessing, model selection and evaluation. They are expected to discuss the suitability of the chosen techniques and metrics, identify limitations and explain how individual technical decisions affected the final performance and outcome of the fraud-detection solution. The second component, Reflection and Professional Issues, also accounts for 50% and has a suggested allocation of approximately 1,000 words. Students reflect critically on their personal contribution to the project and their experience of working within a team. The discussion addresses challenges encountered, lessons learned and how the experience contributed to technical and professional development. Professional and ethical considerations form an important part of the reflection. Relevant issues include algorithmic bias, fairness, sustainability and data privacy, particularly in relation to machine learning applications within financial services and cloud environments. Students are also required to attach their Seminar Activity Tracker as an appendix, providing evidence of weekly participation and knowledge development. The assessment therefore combines technical critique with reflective practice, requiring students to demonstrate that they understand not only how a machine learning solution was developed, but also why specific technical decisions were made, their consequences, the limitations of the resulting system and the wider ethical and professional implications of deploying AI on cloud infrastructure. Overview word count: approximately 315 words. The brief also states that AI may assist with areas such as grammar, structure, organisation of ideas and suggestions, but the main content, analysis and conclusions must be the student's own work, and AI use must be declared.
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Machine Learning / Cloud Computing
3,984 words
Machine Learning on Cloud: Fraud Detection Model Design, Training and Evaluation
This postgraduate group project focuses on the design, development and critical evaluation of a cloud-based machine learning solution for financial fraud detection. The scenario involves a financial services organisation seeking to detect fraudulent transactions in order to reduce financial losses and improve customer security. Students are required to analyse an appropriate dataset, develop a machine learning solution, evaluate its effectiveness and critically consider the suitability of cloud technologies for deployment. The project begins with a cloud feasibility study, requiring critical comparison of at least two major machine learning platforms such as Microsoft Azure, Amazon Web Services and Google Cloud Platform. Evaluation criteria include performance, scalability, cost, compliance, integration and vendor lock-in, followed by a justified recommendation. Students then conduct exploratory data analysis to identify patterns, anomalies and correlations using appropriate visualisations such as heatmaps, histograms and boxplots. A substantial component addresses data preprocessing and class imbalance. Students are expected to clean and transform the data, apply scaling and encoding, perform feature engineering and investigate approaches such as SMOTE, undersampling and cost-sensitive learning. Each preprocessing choice must be justified in terms of its potential impact on model performance. Students must select and train at least two machine learning models, with suggested approaches including Logistic Regression, Random Forest, XGBoost and Neural Networks. Model development incorporates cross-validation and hyperparameter tuning. Evaluation uses fraud-relevant measures including Precision, Recall, F1 score, AUC and precision-recall curves, supported by confusion matrices, ROC curves and feature-importance visualisations. The project concludes with critical consideration of professional and ethical issues in cloud-based AI, including bias, fairness, transparency, data privacy and sustainability. The overall assessment therefore integrates cloud-platform evaluation, machine learning development, imbalanced classification, model evaluation and responsible AI practice. Overview word count: approximately 340 words.
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Business Management / Business Consultancy / Supply Chain Management
5,000 words
Digital Transformation for Sustainable Supply Chain Transparency at Unilever: Blockchain, IoT and AI
This MSc Business Consultancy Project requires students to undertake an evidence-based consultancy investigation addressing a strategically significant business problem within a selected organisation. The assessment is designed to replicate professional consultancy practice by requiring students to define a focused organisational challenge, critically analyse secondary evidence, apply relevant management frameworks, evaluate stakeholder implications and develop practical recommendations that create value for the client organisation. The final submission is a 5,000-word consultancy report, including a 500-word employability reflection. The reference project examines Unilever Plc and focuses on the challenge of improving transparency and traceability across its complex global supply chain. Particular attention is given to the potential application of Blockchain, Internet of Things (IoT) and Artificial Intelligence (AI) to support real-time traceability, predictive analytics, ethical sourcing, operational efficiency and sustainability performance. The project considers how digital transformation could support Unilever's sustainability objectives while responding to growing regulatory, environmental and stakeholder pressures. The consultancy report requires a structured analysis consisting of an executive summary, introduction, company/client overview, clearly defined business problem and consultancy focus, and detailed stakeholder analysis. Students then undertake an extensive data analysis and framework application section using two or three relevant theoretical models alongside credible secondary evidence, industry reports, company data, tables, charts or Excel outputs. Findings should be interpreted critically and linked back to appropriate strategic or management frameworks while incorporating ethical and sustainability considerations. The project concludes with three prioritised, actionable and evidence-based recommendations, including consideration of implementation risks, barriers and anticipated benefits. Students must also critically reflect on the employability skills developed through the consultancy project, including research, analysis, problem-solving, project management, communication, professional behaviour, ethical awareness and future career development. All academic and professional evidence must be cited using the Harvard Referencing System, with emphasis on credible and current sources.
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Global Supply Chain Management / Operations Management
2,494 words
Global Supply Chain and Operations Performance: Company Case Analysis
This Level 7 individual assignment requires students to produce a 2,500-word company case analysis examining an important operations performance issue within a real organisation. Students may select an organisation of any size, type, industry or country and must concentrate their analysis on one operations performance objective: cost, dependability, flexibility, speed or quality. The report requires students to identify the current challenges faced by the chosen organisation in relation to the selected performance objective and critically examine those challenges using relevant operations and supply chain management theories, concepts and analytical tools. Rather than providing only a descriptive account of organisational activities, students are expected to apply appropriate theoretical frameworks to the case and evaluate how these concepts could contribute to improved organisational and supply chain performance. A significant component of the assignment involves critically discussing appropriate best practices for performance improvement. These may include digital technologies, sustainability practices or other relevant operational and supply chain approaches. Students should connect these practices directly to findings from their chosen company case and assess their practical relevance, opportunities and limitations. Academic literature and appropriate real-world evidence should be used throughout to substantiate the analysis and recommendations. The assignment evaluates students' ability to analyse supply chain and operations problems, apply academic theory to organisational practice, and develop evidence-based conclusions and practical recommendations. The marking rubric places substantial emphasis on analysis and discussion (30%), application of theory (30%), and conclusions and recommendations (30%), with the remaining 10% allocated to presentation, logical structure, English expression and correct referencing. The report must use Harvard referencing, include a contents page, and follow the specified academic formatting requirements, including Arial size 12, 1.5 line spacing and A4 pages with 2.54 cm margins.
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Computer Science / Database Systems
4,000 words
Advanced Databases (KL7011) — NORTHERNTOURS Coach Travel Database: EER Design, Oracle Implementation, Object-Relational and NoSQL Extensions
This piece of work addresses a four-part Masters-level assessment in Advanced Databases built around NORTHERNTOURS, a fictitious coach travel operator running services across cities, towns and tourist sites in the North East of England. The company sells tickets through a network of independent travel agents, each currently working from a paper-based sales book, while NORTHERNTOURS itself maintains separate paper records for routes, schedules, seat availability, vehicles and drivers. The brief asks for a single computer-based system capable of replacing both, tracking every agent transaction while giving the company control over ticket issue and seat allocation. Part one covers the conceptual and logical design. An enhanced entity-relationship model was produced covering agents, agent employees, customers, tickets, routes, stops, schedules, vehicles, drivers and the meal provision recorded at each stop, with key attributes, primary keys and full structural constraints shown. Because the scenario does not name identifiers for most entity types, appropriate surrogate and natural keys were devised and justified. The diagram was then mapped to a logical relational schema, normalised to third normal form, with a documented naming convention applied consistently across relations, attributes and keys, and every element recorded in a text-based data dictionary giving names, data types, descriptions and constraints. Part two moves to implementation in Oracle. A full DDL script creates the relations with primary and foreign keys and a substantial set of check constraints — key format patterns, positive seat counts and fare values, date ordering on schedules. Sample data populates the relevant tables, and two retrieval problems are answered twice over, once in relational algebra and once in SQL: schedules between Newcastle and Berwick-upon-Tweed with seven or more seats free in the coming fortnight, and the agent with the highest ticket sales across a defined month. Spooled session output evidences each script running. Part three revisits the conceptual design to argue where object-relational features earn their place — nested route-and-stop structures and composite address and contact types being the clearest candidates — implemented using Oracle object types, VARRAYs and nested tables, and demonstrated through two multi-join aggregate queries. A parallel discussion identifies the schedule and availability workload as a fit for document-oriented NoSQL storage, with representative code and a reasoned account of the denormalisation trade-offs involved. Part four is a report to the managing director covering sustainability, professional, legal, ethical and security obligations, alongside diversity, inclusion, cultural and environmental matters, commercial risk evaluation and mitigation, supported throughout by current literature and published standards.
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Marketing
4,000 words
Strategic Recovery Marketing Report — Diagnosing Underperformance and Building a Sustainable Turnaround Plan
This is a case-based marketing assessment in which the student selects a real business that is currently underperforming or failing, diagnoses the causes, and builds a full marketing recovery strategy for it. The company choice is the student's own but requires module team approval, so the selection itself carries risk: a firm with thin public disclosure will starve the analysis, while an over-documented household name invites description rather than diagnosis. The deliverable is a formal report of around four thousand words, excluding references and appendices, referenced in APA 7. Appendices can carry supporting data, models and supplementary analysis, but not core content — a common way marks are lost is pushing substantive argument into an appendix to stay within the word limit. The report has two linked halves that students often treat as separate. The first is diagnostic: why is this business underperforming? This demands explicit application of marketing theory rather than a narrative of the company's troubles assembled from press coverage. The second is prescriptive: a recovery strategy that follows from the diagnosis. Recommendations that could have been written without the analysis — refresh the brand, invest in digital, improve customer experience — score poorly regardless of how well they are expressed. Where this module differs from a generic strategic marketing assessment is the sustainability and ethics dimension. The learning outcomes centre on sustainable marketing, social responsibility, and the intersection of marketing technology with sustainable practice. The marking criteria reward conclusions that show awareness of ethical and sustainability dimensions at every band above a pass. A recovery plan built purely on cost and revenue logic will therefore underperform against the rubric even if it is commercially sensible. The strongest submissions treat sustainability as part of the recovery mechanism rather than a section appended at the end. Assessments of this type increasingly sit within a tiered AI policy. Where a permissive tier applies, students may use AI tools for idea generation, structuring, source discovery, summarising notes, and proofreading or feedback — but not for producing the analysis itself — and must declare which tools were used and how, usually in a table placed before the reference list. Students are also expected to retain evidence of how their thinking developed, such as version histories or drafts, which can be requested if misconduct is suspected. Our support on assessments of this type is guidance-based. Typical areas of help include: advising on company selection and data availability, explaining how a diagnostic framework should structure an argument, showing the difference between descriptive and evaluative use of theory, clarifying how sustainability criteria are actually assessed in a marking rubric, checking APA 7 consistency, and reviewing a completed draft against the published criteria.
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mgt
This module requires you to complete two assessments: a group presentation (25%) and an individual report (75%). In the group presentation, your team must analyse a chosen industry using strategic tools such as PESTEL analysis, Porter’s Five Forces, and competitor/strategic group analysis. The presentation should critically evaluate the external and industry environment, include graphs, charts, and academic references, and demonstrate strong teamwork and confident delivery during the 15-minute presentation and 5-minute Q&A session. The individual report requires you to select a company from the recommended list and critically evaluate its strategic challenges, business ethics, sustainability practices, and/or organisational culture issues. You must analyse the impact of these issues on the company, provide well-justified recommendations, suggest suitable leadership and management approaches, and support all arguments using relevant strategic and leadership theories. The work should be analytical rather than descriptive, properly referenced with in-text citations, professionally formatted, and based on extensive research.
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