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CSC-30065 - Module Specification
School of Computer Science and Mathematics
Faculty of Natural Sciences

For academic year: 2024/25 Last Updated: 17 May 2024

CSC-30065 - Data Science Project
Coordinator: Charles Day Room: CR110 Tel: +44 1782 7 33411
Lecture Time: See Timetable...
Level: Level 6
Credits: 30
Study Hours: 300
School Office: 01782 733075

Programme/Approved Electives for 2024/25

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

CSC-10058 Introduction to Data Science I
CSC-10060 Introduction to Data Science II

Barred Combinations

None

Description for 2024/25


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: 1,2
develop technical outputs or a marketable software product/tool, or conduct potentially publishable research, demonstrating skills acquired during course: 2
produce an academic poster which summarises their project in a concise and accessible way: 1
demonstrate professional conduct with regard to time management and supervisor contact: 2
select and apply appropriate information modelling methods and processes: 2
communicate problems and achievements at a professional level and publishable standard: 2
survey relevant background literature which provides academic justification for the project: 1,2

Study hours

8 hours lectures
1 hours presentation and demonstration
12 hours supervisor contact (24 x 30 mins)
279 hours private study (including report and poster preparation)

School Rules

None

Description of Module Assessment

1: Coursework 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.

2: Dissertation weighted 90%
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 at the end of semester 2 and will be accompanied by a project demonstration where students can present the product or outcomes of the project, demonstrate software working if applicable, and provide further details of the process(es) followed. Report appendices will provide evidence that project planning and adherence to necessary GDPR and ethical practices were given due regard throughout.

Please note that for the 2022/23 Academic Year programmes may be adapted to operate in accordance with a flexible, digital approach. This means that there may be some changes made to how modules are delivered and assessed. The latest information will be provided to you by your School in module handbooks. We endeavour to give you as much notice as possible of any changes and details about the circumstance in which changes are made to programmes can be found in the Student Agreement, available at: https://www.keele.ac.uk/student-terms-and-conditions/

Last Updated: 17 May 2024