Programme/Approved Electives for 2026/27
None
Available as a Free Standing Elective
No
This module enables students to integrate and apply theoretical knowledge and problem-solving skills to a relatively large or complex technical, software, programming, research or business problem within the Data Science discipline.
Aims
To integrate and apply theoretical knowledge and problem-solving skills to an identified data analysis need and/or research problem within the discipline.To acquire and demonstrate transferable skills which enhance employability in the Information Technology/ Data Science sector.To develop a research topic and/or software product to an acceptable publishable or marketable standard in the Data Science specialism.
Intended Learning Outcomes
identify and plan an achievable programme of investigation with realistic objectives given their area of study within Data Science: 1,2,3,4develop technical outputs or a marketable software product/tool, or conduct potentially publishable research, demonstrating skills acquired during course: 2,3,4decide project boundaries, recognise legal, social, ethical & professional issues, identify risks, and work independently within theseconstraints: 1,3,4produce an academic poster which summarises their project in a concise and accessible way: 2demonstrate professional conduct with regard to time management and supervisor contact: 1,2,3select and apply appropriate information modelling methods and processes: 1,2,3,4communicate problems and achievements at a professional level and publishable standard: 2,3,4decide project boundaries, recognise legal, survey relevant background literature which provides academic justification for the project: 1,3
10 hours lectures3 hours presentation and demonstration10 hours supervisor contact277 hours private study (including project plan, poster and report preparation
Description of Module Assessment
1: Assignment weighted 10%Project Plan and GDPR/Ethics documentationStudents produce a Project Plan following a template that is provided and complete a
GDPR/Ethics Checklist. This is submitted during the first semester to ensure that projects are
completed following proper project management and ethical conduct.
2: Poster weighted 10%A1 poster describing project & progress to dateAn A1 project poster created by students which describes the project they are undertaking and
their progress to date. The poster submission will be in semester 2, before the submission of
the project report.
3: Dissertation weighted 70%Project report describing process and product/resultsA 7000 - 8000 word project report describing the aims and objectives of the project undertaken,
the process(es) followed and the software produced/ results obtained. The project report will be
submitted towards the end of semester 2.
Report appendices will provide evidence that project planning and adherence to necessary
GDPR and ethical practices were given due regard throughout.
4: Presentation weighted 10%Project DemonstrationA demonstration of the project to accompany the project report. This can be done in person,
online, or if agreed by the student and markers via a recorded video presentation. The project
demonstration allows students to demonstrate any software working, present the product or
outcomes of the project, and provide further details of the process(es) followed.