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Mathematics with Data Science for Industry MSc

1 year, starting in September 2021

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

Are you a mathematical problem solver with a related undergraduate degree? Are you interested in applying maths, statistics and computer science to solve complex problems in industry? Then this course could be for you.

The cutting edge of mathematical problem-solving in industry combines modelling, analysis and interpretation using methods from applied mathematics and the rapidly growing area of data science.

You’ll work on group projects with other students and have the opportunity to work on a project with one of our industrial partners, as well as study a range of taught units in applied maths techniques, mathematical modelling, data science, machine learning and scientific communication. Research specialisms could include industrial applied maths, statistics, machine learning, probability, differential equations, dynamical systems, asymptotics, numerical analysis, optimisation, imaging, modelling of waves and fluids, mathematical biology.

A highlight of the course is the opportunity to work on a real project with one of our industry partners. You'll learn the ins and outs 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. This may include spending several weeks working in the company. Examples of companies you could work with include The Met Office, Barclays, Emerson Roxar and Raytheon.

Your career

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 will also have acquired the essential foundation for further postgraduate study and research within related fields.

Find out more at a webinar:

Find out more about studying at Bath:

Course structure

This course lasts 1 year. It starts in September 2021 and ends in 2022. Welcome week starts on 21 September 2021.


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

Semester 2

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

Summer

  • Project

Optional course units

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

Placement


This is the one-year version of the course without placement. We also offer this course with a placement year, giving you the opportunity to gain work experience as part of your degree.

Learning and assessment


Learning

  • Research project
  • Lectures
  • Online resources
  • Seminars
  • Tutorials
  • Workshops
  • Real-life case studies

Assessment

  • Coursework
  • Dissertation
  • Online assessment
  • Presentations
  • Seminar
  • Written examination
‘It's clear from the job market, from the way that industry is evolving, that data science is becoming a very important area for industry.’
Dr David Jackson Met Office manager for Space Weather Research (2020)

Fees and funding

Fees and funding information for Mathematics with Data Science for Industry MSc


Fees

Your tuition fees and how you pay them will depend on whether you are a Home, EU, Island or Overseas student.

Learn how we decide fee status

How to pay

Tuition fee loans

If you are studying a postgraduate course, you may be able to take out a loan for your tuition fees and living costs.

Read more about tuition fee loans

Scholarships and bursaries

You could be considered for a bursary or scholarship to help you study at Bath. You do not have to pay it back.

Read more about bursaries and scholarships

Other payment options

You can pay your tuition fees by Direct Debit, debit card, credit card, cheque, bank transfer or cash. You may also be eligible for a student loan to help you pay your fees.

Read more about your payment options

Budgeting

You will need to budget at least £100 for the cost of photocopying, printing and binding. You will also need to budget for the cost of textbooks.

Some courses involve visits away from campus and you may be required to pay some or all of the costs of travel, accommodation and food and drink.

If you’re on a placement, you’re responsible for your own travel, accommodation and living costs. You should also consider the financial implications if you go on an unpaid or overseas placement.

Application information


Course enquiries


Apply for 2021 entry

Apply now