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MSc Mathematics with Data Science for Industry

Reach your full potential as an industry-oriented mathematician capable of applying data science to tackle complex problems.

Register for a virtual open day to find out more

Giving you the skills industries need

Designed in collaboration with industry, this course will give you the key skills and knowledge sought by employers.

You'll gain intensive training on how to build on and apply your background in mathematics to solve problems in industries around the world, through a combination of practical work and taught units, including several lectures from our industry partners.

A highlight of the course is the opportunity to work on a real project with one of our industry partners over two semesters. You’ll learn the ins and outs of the problem-solving process; from identifying a problem and translating it into mathematical language, to finding a solution and communicating with the client. This may include spending several weeks working in the company*, meaning you can start establishing professional relationships before you graduate.

Examples of companies you could work with include The Met Office, Barclays, Emmerson Roxar and Raytheon.

Is this course for you?

Are you a mathematical problem solver with a related undergraduate degree? Are you interested in applying maths to problems in industry? Then this course could be for you.

During the course, you’ll work on group projects with other students and a project with one of our industry partners. You'll also study a range of taught units in mathematical modelling, communication, group work and data science. Research specialisms could include industrial applied maths, PDEs, asymptotics, statistics, probability, numerical analysis, dynamical systems, machine learning, optimisation, imaging, waves, fluids, mathematical biology, interdisciplinary maths. For full details visit the course page.

Entry requirements

You should have an undergraduate degree in a maths-related discipline. No prior knowledge of data science is required.

Visit the course page
Students working on a project

Why data science?

Data science is an interdisciplinary field that blends scientific methods with business insights. It involves the interrogation of data to enable businesses to solve complex problems and create strategies to improve results and performance.

Data is ‘big business’ and many modern industries are looking for master’s graduates who have at least some knowledge of data science. By gaining skills and knowledge in this area, a wide range of career pathways will be open to you when you graduate.

You’ll learn about the key concepts and approaches of data science, including how to analyse data with statistical and machine learning techniques. Some units will be taught by our Department of Computer Science.

Nick Birger, lead Engineer AVL powertrain systems

Boost your employability with a placement

Having relevant work experience can really make your CV stand out when applying for graduate jobs, which is why you can choose to extend the length of your course and go on a work placement.

A placement gives you the opportunity to take advantage of our strong links with industry to gain valuable work experience. We have a dedicated placements team that can help you to find a suitable placement and you may be able to do your placement and industry project work with the same company.

Find out more about going on placement
Student on a placement

Course structure

The year is split into two taught semesters and a summer project.

Semester 1 units

Semester 2 units

Summer (June to August)

Units in semesters one and two include working on the development of a project with an industrial partner. You’ll also have opportunities to attend lectures by representatives from our partner organisations and take part in industry days where they'll present real problems they need solving.

For full details visit the course page.

Ask any questions about the course or studying at Bath at a Postgraduate Virtual Open Day.

Register for a Virtual Open Day

*If you’re unable to work with an industrial partner at their company, you’ll be given the option of completing a project on campus, supervised by an academic.