MSc Mathematics with Data Science for Industry

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University of Bath
Start - End
8 Sep
Application Deadline
31 Aug
Study Options
Full Time
GBP 11700 - 14950
Fee International
GBP 26700 - 34115

Learn about key approaches in applied maths and data science that can be integrated to solve real-world problems.

The cutting edge of the application of mathematics in industry combines modelling, analysis and interpretation using methods from applied mathematics and the rapidly growing area of data science. This course is for you if you're interested in applying maths, statistics and computer science to solve complex problems in industry.

Course highlights

  • Study a wide range of taught units in applied maths techniques, mathematical modelling, data science, machine learning and scientific communication.
  • Gain real-world experience from group projects with other students and the opportunity to work on a project with one of our industrial partners.
  • Projects and modules benefit from our research specialisms, including industrial applied maths, probability, scientific computing, machine learning, dynamical systems, asymptotics, imaging, modelling of waves and fluids, and mathematical biology.

Working with industry

A key element of the course is the opportunity to work on a real project with one of our industry partners. This may include some time based at an external company. Some of our current industry partners include the Met Office, Barclays, Emerson Roxar and Raytheon. Industry projects give direct experience of the problem solving process, including:

  • Identifying the problem and translating it into mathematical language
  • Processing and analysing relevant data
  • Solving the mathematical problem
  • Communicating the results to the client

Career prospects

Mathematics and data are fundamental to modern science and many industries are looking for graduates who can work across these fields. By gaining skills and knowledge in these areas, a wide range of career pathways will be open to you when you graduate. You'll also have acquired the essential foundation for further postgraduate study and research within related fields.

Course structure

Occasionally we make changes to our programmes in response to, for example, feedback from students, developments in research and the field of studies, and the requirements of accrediting bodies. You will be advised of any significant changes to the advertised programme, in accordance with our Terms and Conditions.

Compulsory course units

These compulsory units are currently being studied by our students, or are proposed new units.

Semester 1

  • Mathematical modelling for industry
  • Principles of industrial collaboration and problem solving
  • Machine learning 1
  • Plus optional units

Semester 2

  • Industrial applications of mathematics
  • Collaborative industrial research
  • Statistical modelling
  • Plus optional units


  • Project

Optional course units

These are examples of optional units currently being studied by our students, or are proposed new units.

  • Scientific computing
  • Numerical optimisation and large-scale systems
  • Statistics for data science
  • Classical statistical inference
  • Mathematics of machine learning
  • Inverse problems, data assimilation and filtering
  • Applied stochastic differential equations
  • Viscous fluid dynamics


Going on placement gives you the opportunity to apply your skills and knowledge during a year working in industry. You’ll be employed full-time in a role to match your future career ambitions, broadening your experience and transferable skills. It may be possible to go on placement with the same company you've worked with for an industry project.

Placement opportunities can't be guaranteed but you will receive tailored support from our specialist team to help you secure a placement.

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