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

Programme/Approved Electives for 2024/25

Available as a Free Standing Elective

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

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 discipline.

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