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500 words
Strategic Digital Marketing Campaign Planning Using the RACE Framework: Cambridge Museum of Technology
This Digital Leadership and Disruptive Innovation assessment requires students to act as digital marketing consultants for the Cambridge Museum of Technology and develop a strategic social media campaign focused on the Reach and Act stages of the RACE framework. The campaign is designed to increase awareness of the museum and encourage meaningful interaction using paid and owned content across Facebook and Instagram. Assessment Brief for CW1 (1) The first deliverable is a two-page landscape campaign poster created in Canva. Page 1 focuses on Reach and should present a clear awareness objective, one Facebook paid advertisement mock-up, and one Instagram owned post. Page 2 focuses on Act and should include an engagement objective, one Instagram paid advertisement and one Facebook owned post. Each mock-up must be clearly labelled by platform, RACE phase and media type. Assessment Brief for CW1 (1) Assessment Brief for CW1 (1) The poster is expected to function as a strategic visual board, rather than a website or social feed simulation. It should demonstrate clear visual hierarchy, logical layout, consistent headings, spacing and alignment, and communicate how the Reach and Act strategies connect. The target audience persona should not appear on the poster itself. Assessment Brief for CW1 (1) The second deliverable is a maximum 500-word written rationale. This should define a relevant target audience persona using demographic, psychographic and behavioural characteristics, and explain needs, motivations and online behaviour. The persona should be visually designed and embedded in the written document. Assessment Brief for CW1 (1) The rationale must also justify the Reach content strategy, including platform choice, content format, targeting and budget considerations, and explain the Act engagement strategy, including tactics such as event promotion, interactive posts and comment prompts. Students should also explain how layout, visual structure and calls-to-action support user experience and engagement. Assessment Brief for CW1 (1) The assessment requires application of relevant digital marketing theories and frameworks and at least five credible academic or industry sources, using Cite Them Right Harvard referencing. Suitable evidence can include peer-reviewed journal articles and recognised sources such as Mintel, Statista and industry reports. Assessment Brief for CW1 (1) The marking scheme gives 30% to Reach, 30% to Act, 20% to the written rationale, and 20% to poster design, communication and professional presentation. Assessment Brief for CW1 (1) Assessment Brief for CW1 (1) Overall, the assessment integrates RACE-based campaign planning, paid and owned social media, audience segmentation, persona development, targeting, budget awareness, content strategy, UX principles and professional visual communication within a real cultural-organisation context. Important: the brief explicitly states that the applicable AI category is Category 2 – Proofreading only permitted, meaning AI may be used for proofreading but not for creating assessment content. Assessment Brief for CW1 (1)
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Information Visualisation / Data Analytics / Data Science
1,500 words
Information Visualisation Project Using Power BI and Python
Assignment overview — ready to paste This Information Visualisation project requires students to design, implement and critically evaluate effective data visualisations using two different technological approaches: Microsoft Power BI and Python. The assessment focuses on the practical application of information-visualisation principles, including data preparation, visual design, interaction, audience requirements and the extraction of meaningful patterns and insights from complex datasets. Assignment 002 Coursework 2025-… Task 1 focuses on interactive visualisation using Power BI. Students work with the UK Department for Transport's Road Safety Open Data (STATS19), which contains information relating to road traffic accidents, casualties, vehicles, locations, times and contributing factors. Students may analyse one year or multiple years of data depending on their visualisation objectives. Assignment 002 Coursework 2025-… The Power BI work requires students to identify an appropriate target audience and report type, select relevant variables, clean and transform the data, develop an appropriate data model and create analytical measures using Data Analysis Expressions (DAX). The resulting dashboard should communicate the context of the data and reveal meaningful trends, patterns and insights. Assignment 002 Coursework 2025-… Task 2 requires students to develop visualisations programmatically using Python, with Jupyter Notebook recommended as the implementation environment. Students independently select a real-world, publicly available dataset containing at least 10,000 observations and more than five variables. Unlike Task 1, visualisation tools that automatically construct visualisations, such as Tableau or Power BI, cannot be used for this component because programming is an explicit requirement. Assignment 002 Coursework 2025-… Assignment 002 Coursework 2025-… The submitted Jupyter Notebook should operate as an educational technical report explaining the selected dataset, preprocessing procedures, visualisation choices and resulting insights. Students are expected to justify their visualisation techniques, critically evaluate findings and discuss challenges encountered during development. The textual content of the notebook is limited to 1,500 words, excluding code and visualisations. Assignment 002 Coursework 2025-… The complete assessment contains several deliverables, including a maximum 6-minute Power BI demonstration video, a maximum 2-page Power BI report, the .pbix file, an 8-minute Python/Jupyter visualisation demonstration, the Jupyter Notebook, dataset and README file. All materials must ultimately be packaged into a single ZIP submission. Assignment 002 Coursework 2025-… Assignment 002 Coursework 2025-… Important: the brief does not specify a named referencing style or academic level, so I would select Not specified for those two portal fields rather than guessing. It also explicitly states that generative AI must not be used to create any part of the assessed submission, including code, debugging, writing, paraphrasing or bibliographies. Assignment 002 Coursework 2025-…
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Integrated Communications
2,000 words
CW2 Communications Engagement Report – Client Stream
This assignment requires students to produce an individual 2,000-word Communications Engagement Report in the form of an engagement communications campaign for Stream. Stream is a collaboration between 16 UK water companies, supported by industry and civil society partners including the Open Data Institute, with the aim of unlocking the potential of water-sector data to benefit customers, society and the environment. The organisation has established data-sharing infrastructure designed to enable data to be used to generate insights, support innovation, improve decision-making and contribute to greater transparency across the water sector. The central focus of the assignment is to develop a communications campaign that attracts and engages the research and academic community. Stream has identified postgraduate and postdoctoral students, together with relevant university faculty leads, as an important priority audience because of their potential to transform published water-sector data into valuable research insights, innovative products and services. Relevant academic departments may include computer science, engineering, mathematics, environmental science, social science, town planning and business development. Students are expected to consider how this audience can be reached, segmented and prioritised according to its interest and willingness to engage with Stream. The proposed campaign should build awareness of Stream, communicate the value of accessing and using water-sector data, and encourage longer-term engagement between Stream, universities and students. Existing communication channels include LinkedIn, the Stream website and communications distributed through delivery partners such as the Open Data Institute and Aiimi, as well as Ofwat. Key campaign opportunities include Open Data Day in March and Open October in mid-October. These events should be considered as important campaign moments while also being integrated into a longer-term communications programme. The report should include an introduction and background to Stream, including brand history, market position, competitive analysis, the need for an engagement communications campaign and relevant market research. It should establish short-, medium- and long-term communication objectives with clear timeframes, define the target audience, and apply an appropriate theoretical framework to develop the communication strategy. Students must provide four recommended communication pieces supported by detailed rationale, together with a Gantt chart showing campaign timings and a clear campaign measurement approach. The report should conclude with a summary of the overall proposal. The assessment requires critical application of communication theories and concepts, research evidence and relevant literature. Students must demonstrate analysis, evaluation and justification rather than simply describing communication activities. A minimum of 15 high-quality references is required, including at least eight journal articles, using Cite Them Right Harvard referencing. The report is assessed on presentation and structure, intellectual curiosity and referencing, content and application, campaign integration, discussion, conclusion, recommendations, campaign timeframes and measurement.
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