CSC-30065 - Data Science Project
Coordinator: Mark Turner Room: CR034 Tel: +44 1782 7 33652
Lecture Time:
Level: Level 6
Credits: 30
Study Hours: 300
School Office: 01782 733075

Programme/Approved Electives for 2026/27

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2026/27

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: 1,2,3,4
develop technical outputs or a marketable software product/tool, or conduct potentially publishable research, demonstrating skills acquired during course: 2,3,4
decide project boundaries, recognise legal, social, ethical & professional issues, identify risks, and work independently within these
constraints: 1,3,4
produce an academic poster which summarises their project in a concise and accessible way: 2
demonstrate professional conduct with regard to time management and supervisor contact: 1,2,3
select and apply appropriate information modelling methods and processes: 1,2,3,4
communicate problems and achievements at a professional level and publishable standard: 2,3,4
decide project boundaries, recognise legal, survey relevant background literature which provides academic justification for the project: 1,3

Study hours

10 hours lectures
3 hours presentation and demonstration
10 hours supervisor contact
277 hours private study (including project plan, poster and report preparation

School Rules

None

Description of Module Assessment

1: Assignment weighted 10%
Project Plan and GDPR/Ethics documentation
Students 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 date
An 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/results
A 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 Demonstration
A 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.