Data Science

Entry requirements

A strong (65%) upper-second class honours degree (or international equivalent) in a numerate science, computer science, or engineering. Examples of acceptable degree titles include, but are not limited to Computer Science, Computing, Mathematics, Statistics, Operations Research, Data Science, Software, Engineering, Psychology, Physics, Chemistry, Genetics, Biology, Neuroscience, Economics, Finance, Accounting, Econometrics, AstroPhysics, Geology / Earth Sciences, Civil, Engineering, Mechanical Engineering, Aeronautical Engineering, Chemical Engineering, Systems, Engineering, Electronic Engineering, Electrical Engineering, Nuclear Engineering, Manufacturing, Engineering, Software Engineering, Mining Engineering or Medicine

We will consider applicants whose grades are slightly lower than the programme's entry requirements, if they have at least one of the following:

• evidence of significant, relevant work experience;
• a relevant postgraduate qualification.

If this is the case, applicants should include their CV (curriculum vitae / résumé) when they apply, showing details of their relevant work experience and/or qualifications.

See international equivalent qualifications on the International Office website.

Months of entry

September

Course content

If you want to improve the world through the responsible use of data, the MSc in Data Science will give you the skills to do so. You will learn how to understand, in depth, the computational and statistical principles of modern data science and be skilled at the rigorous and ethical application of these techniques to real-world challenges.

Whether you have a background in numerate sciences, engineering, or computer science, the programme will provide you with the skills to succeed in this exciting and fast-moving discipline. It will equip you with excellent employment prospects to pursue roles in industry as either a data scientist or data engineer as well as for research and development roles.

This MSc aims to:

• Equip you with the ability to work across disciplinary boundaries in the effective application and deployment of data-intensive solutions in a variety of contexts.
• Give you a breadth and depth of knowledge and skills in computational, machine learning, and statistical principles and the capability for insightful large-scale data analysis, so you will be able to specify and implement analytical pipelines for real-world data at scale.
• Provide you with a good understanding of the ethical issues in the application of contemporary data science techniques to real-world challenges, including arguments about the risks, benefits and disadvantages arising from the deployment of these technologies.
• Enable you to independently initiate data science projects specified at a high-level perspective, leading them from scoping onward to completion, while exercising appropriate project management methods and maintaining stakeholder engagement.

The MSc in Data Science has been co-designed with industrial partners and is highly relevant to rewarding employment opportunities. There is a strong emphasis on responsible innovation and ethics to encourage you to use your knowledge and skills for societal good in the workplace or through further research. The course is closely associated with excellent research in the University, ensuring leading-edge teaching.

Information for international students

See international equivalent qualifications on the International Office website.

Fees and funding

Further information on funding for prospective UK and international postgraduate students.