MSc Data Science Technologies (Online Learning)

These entry requirements are for the 2026-27 academic year and requirements for future academic years may differ. Entry requirements for the 2027-28 academic year will be published on 1 Oct 2026.

The programme is designed to be accessible. We welcome applicants who meet the standard academic entrance requirements and those with relevant work experience.

A UK 2:1 honours degree, or its international equivalent, in a numerate or computational discipline.

We will also consider a UK 2:2 honours degree, or its international equivalent, in Computer Science, Informatics, Software Engineering, Mathematics, Statistics, or similar.

We will also consider your application if you have relevant work experience (typically at least three years in a relevant field, working with data or programming). If you plan to apply on this basis, please include a detailed CV and outline how your professional background demonstrates your ability to undertake the programme in the Relevant Knowledge/Training section of your application. If you are unsure if you have relevant work experience, please email the Programme Director.

See our website for destinations

The following courses are compulsory for both the full-time and part-time options:

Practical Introduction to Data Science
Programming Skills
Introductory Probability and Statistics
Applied Machine Learning
Option courses
Data Ethics for Health and Social Care
Data Science for Manufacturing
Data Types and Structures in Python and R
Data, Sport and Society
Innovation-Driven Entrepreneurship
Introduction to Bioinformatics
Message-Passing Programming
Leading Technology and Innovation in Organisations
Natural Language Processing (NLP) for Health and Social Care
Practical Introduction to High Performance Computing
Software Development
Technologies of Civic Participation
Threaded Programming
Understanding Data Visualisation