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Discover a master's in maths with data science at Bath

Boost your employability and develop the specialist maths, statistics and data science skills desired by industry with our range of postgraduate maths courses.

Studying mathematics at Bath

Our postgraduate mathematical science courses provide excellent graduate prospects, strong links to industry, and access to state-of-the-art teaching and research facilities.


Mathematics, statistics, machine learning and data science are vital to the global economy and scientific progress across numerous fields from bioscience and healthcare, to energy and telecommunications. How we gather, analyse and utilise data is challenging the way organisations look at the world, and is reshaping our future.

With our wide range of postgraduate maths courses, you can:

  • Be part of an open and informal learning community, with small class numbers and enthusiastic teaching staff.
  • Develop hands-on research skills and experience in a summer research project, helping you stand out when applying for jobs or a PhD.
  • Gain valuable work experience as part of your degree with an optional professional placement offered on many of our postgraduate maths courses.
  • Access state-of-the-art facilities, including our High-Performance Computing cluster.
  • Study in an internationally recognised maths research department with teaching excellence at all levels.
  • Receive information, guidance and support from our dedicated careers team and departmental staff, preparing you for your future career.

Find the right maths course for you

Our maths with data science master's courses will help you understand key approaches in applied maths, statistics, machine learning and data science and use them to solve real-world problems. Find out which course suits you best.


MSc Statistics and Data Science

  • Suitable for highly numerate graduates with a reasonable level of mathematical experience, and a foundational knowledge of statistics.
  • Learn about machine learning and the mathematics underpinning it, as well as classical data analysis approaches, and how to apply them.
  • Prepare for data analysis roles across a broad range of industries.

MSc Statistics and Data Science (Health)

  • Suitable for highly numerate graduates with a reasonable level of mathematical experience, and a foundational knowledge of statistics.
  • Learn about machine learning and the statistics underpinning it, as well as classical data analysis approaches, and how to apply them to healthcare data.
  • Prepare for data analysis roles in the healthcare industry.

MSc Financial Mathematics with Data Science

  • Suitable for highly numerate graduates with a reasonable level of mathematical experience.
  • Learn about randomness, risk, machine learning and mathematical modelling to understand and forecast financial markets.
  • Prepare for roles in the traditional or emerging financial sectors.

MSc Mathematics with Data Science for Industry

  • Suitable for mathematics graduates or graduates with a strong mathematical background.
  • Learn about the mathematics that matters in industry and work with industry partners applying these techniques to real-world problems.
  • Prepare for applied mathematical roles, working in research and design (R&D) across a wide range of industries.

Msc Statistics and Data Science


Develop skills in statistical modelling, machine learning and software technology. You'll gain a solid grounding in the theory and application of data science with an emphasis on statistical approaches.

Our Statistics and Data Science MSc is ideal for those looking to develop a broad understanding of statistics, statistical learning and data science. It focusses on applied statistics and is suitable for those with undergraduate degrees in scientific disciplines with a significant mathematical component, but limited experience in statistics and data science.

Recent roles for graduates from the department include data analyst and machine learning developer.

MSc Statistics and Data Science (Health)


Learn fundamental skills in statistical modelling, machine learning and software technology. You’ll gain a solid grounding in data science theory and a focus on interpreting and evaluating medical and healthcare data.

This course is ideal for those looking to use data science in the medical and healthcare industry and is best suited to those with undergraduate degrees in scientific disciplines with a significant mathematical component, but limited experience in statistics and data science.

Recent roles for graduates from the department include health data scientist, biostatistician and machine learning engineer.

MSc Financial Mathematics with Data Science


Learn about financial modelling, data analysis, machine learning and software technology and gain a solid grounding in modern financial mathematics.

This course is ideal for those looking to understand the classical and contemporary mathematical and computational methods used in finance. It's suited to those with undergraduate degrees in scientific disciplines with a significant mathematical component, but limited experience in financial mathematics.

On graduating, you'll have a broad range of skills and knowledge relevant to a career in traditional and modern financial sectors. Recent graduates from the department are in finance roles including foreign exchange trading, credit risk and fund management with start-up FinTech companies, multi-national banks and insurers.

MSc Mathematics with Data Science for Industry


Develop key skills in statistics, machine learning, mathematical modelling and collaborative problem solving, and gain practical experience applying them across industry.

This course is ideal for those looking to develop and apply mathematical, statistical and computational skills to tackle complex, real-world problems. It's best suited to those with undergraduate degrees in highly mathematical disciplines.

Mathematics and data are fundamental to modern science and many industries are looking for graduates who can work in R&D across these fields.

Gain hands-on experience

Boost your employability and take advantage of our strong links with industry during your summer research project or professional placement.


Summer research project

Put your learning into practice and gain hands-on experience during your summer research project. You'll be supported to undertake an in-depth investigation or application of an area of maths, statistics, machine learning or data science.

These may be academic research projects or, on some of our courses, you may have the opportunity to work directly with industry partners and external organisations to support their research.

Examples of postgraduate summer research projects across the department include:

  • Forecasting future energy demand using machine learning
  • Ensemble learning for medical imaging
  • Deep learning in high-frequency financial trading
  • Spatiotemporal timing prediction for public transport

Go on a professional placement

Many of our postgraduate maths courses come with the option of doing a working placement in industry, giving you valuable work experience as part of your degree.

On placement, you'll be employed full-time in a role to match your future career ambitions, broadening your experience and transferable skills and putting what you've learned on your course to the test.

With over 50 years of experience offering placements and links with some of the world’s leading research institutions and global companies, you can apply for a wide range of placements in companies of all sizes - from household names to start-ups.

You'll receive dedicated support from our specialist placements team when you're looking for, and throughout, your placement.

World-leading maths research


    98% of research outputs from the Department of Mathematical Sciences were ranked as ‘world-leading’ or ‘internationally excellent’ (with 57% ‘world-leading’) in the most recent Research Excellence Framework (REF2021).

    Maths research

    Our research is based on teams focusing on particular research areas but with a strong culture of collaboration and mutual support.


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