Data Science MSc

Year of entry: 2025

Course length: 12 months Full-time

About the course

This innovative MSc is an opportunity for graduates from a broad range of disciplines to develop data science skills.

The programme is split into a variety of pathways, reflecting the interdisciplinary of the field and allowing students to specialise in an area of their choosing.

We provide training in core data science skills, embedded in a disciplinary context provided by the pathway. You will develop computational skills, data analytical skills, data stewardship skills and knowledge, and project design skills, among a host of other expertise.

Our goal is to help you develop into an agile, skilled data scientist, adept at working in a variety of settings and be able to meet the challenges of interdisciplinary teamwork.

Click on the links above to see the full course profiles on our website.

We revise our fees each academic year. For up-to-date fees information for 2025 entry, please visit our website.

Join one of the UK's Top 10 universities for Statistics, Mathematics, and Data Science

(QS Rankings 2024)

Study a skills-based course with excellent international employment prospects

Our graduates are among the most targeted by top UK employers

(High Fliers 2024)

Compulsory Units

Statistics and Machine Learning I: Statistical Foundations
Statistics and Machine Learning II: AI, Complex Data, Computationally Intensive Statistics
Understanding Databases
Applying Data Science
Extended Research Project

Optional Units

These vary by pathway – click on the links above and then the course details tab to access the current list for each pathway.

These are examples of units offered in 2023/24 and are subject to change.

Where will your degree take you?

The global demand for data scientist talent continues to grow, as a result, our course qualification will provide a strong boost to your employability.

The expanding fields of data science and social statistics offer graduates a broad range of career options across the humanities and more tech-related industries.

From continuing to study for a PhD, to working in government or industry, recent Data Science graduates have found work in sectors such as higher education, research & development, and local / national government, with job titles such as Senior Data Scientist, Research Manager, Data Analyst, Statistician, and Project Manager.

Yiqing Dai

Data Science MSc (Urban Analytics)

“As an architecture student, the MSc Data Science (Urban Analytics) programme offered me a great chance to extend my background in the quantitative approach towards urban studies, as well as strengthen my prospects in the extensive data related job market. The core modules are exceptionally practical and readily applicable to academic research and business problems at work.“