2025/26 Taught Postgraduate Module Catalogue

OLDA5302M Capstone Project

15 Credits Class Size: 150

Module manager: TBC
Email: .

Taught: 1 Nov to 31 Dec, 1 Nov to 31 Dec (2mth)(adv yr) View Timetable

Year running 2025/26

Pre-requisite qualifications

Students are required to meet the programme entry requirements prior to studying the module.

Pre-requisites

OLDA5202M Project Skills

This module is not approved as an Elective

Module summary

This module gives students the opportunity to demonstrate the skills necessary to design and deliver a short project in data science in an area such as AI, health informatics, urban analytics, statistical and mathematical methods, visualisation and immersive technologies.

Objectives

The objective of the module is for students to plan, carry out and present the results of a short project in data science. The project will be presented in a professional format that could serve as an exemplar of their work for a future employer or client.

Learning outcomes

On completion of this module students will be able to:

1. Identify a specific problem in data science and formulate a relevant project proposal to address this.
2. Select, justify, and apply an appropriate method to investigate an identified problem in data science.
3. Deliver a short presentation including analysis and evaluation of results from a project in data science.
4. Conduct a project in data science in a collaborative, interdisciplinary fashion, in accordance with professional and ethical codes of practice.

Skills outcomes

- Project planning, time management and target setting
- Independence and professional development
- Communication skills and report writing

Syllabus

Indicative content for this module includes:

1. Choosing a project
2. Developing a project proposal
3. Selecting and justifying your methods.
4. Implementing your project proposal
5. Troubleshooting and refining your project
6. Completing your project analysis
7. Writing up your project
8. Conclusions and further work

Teaching Methods

Delivery type Number Length hours Student hours
On-line Learning 1 1.5 1.5
On-line Learning 5 1 5
Discussion forum 6 2 12
Independent online learning hours 21
Private study hours 110.5
Total Contact hours 18.5
Total hours (100hr per 10 credits) 150

Opportunities for Formative Feedback

Students will have weekly synchronous group workshop sessions where they will discuss and receive feedback on their project progress.

Methods of Assessment

Coursework
Assessment type Notes % of formal assessment
Research Proposal Students will submit a short, structured project proposal (1 side of A4). 20
Poster Presentation The assignment will require student to produce a digital, narrated A1 poster (10 minutes narration) that summarises the conduct of and findings from their project. 80
Total percentage (Assessment Coursework) 100

Students can resit the assessments at the next running of the module.

Reading List

There is no reading list for this module

Last updated: 05/02/2025

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