Taught course

Mathematics with Data Science for Industry

Institution
University of Bath · Department of Mathematical Sciences
Qualifications
MScMSc including placement year

Entry requirements

You should have a first or strong second-class bachelor’s honours degree or international equivalent.

To apply for this course, you should have an undergraduate degree in mathematics, physics or engineering. We will also consider those with an undergraduate degree in other disciplines provided there is a substantial mathematical component.

We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.

Before you apply, please check the University of Bath website for the most recently published entry requirements.

Months of entry

September

Course content

Stand out to employers with a strong understanding of how key approaches in applied maths, machine learning and data science can help solve real-world problems.

The cutting-edge application of mathematics in industry incorporates modelling, analysis and interpretation using methods from applied mathematics together with the rapidly growing areas of machine learning and data science. We’ll provide you with essential skills for a career as an applied mathematician working in a range of industries.

Who this course is for?

If you're a graduate in mathematics or a highly mathematical discipline, who would like to develop and apply mathematical and computational skills to tackle complex real-world problems, this course is for you. The taught stage provides training in machine learning, statistics, mathematical modelling, computational mathematics and collaborative problem-solving in industry. The dissertation stage allows you to practice these skills with one of our industrial partners.

Course highlights

  • Enhance your mathematical skills by studying a wide range of taught units in applied maths techniques, mathematical modelling, data science, machine learning and scientific communication.
  • Gain genuine experience of collaborative problem solving from group projects with other students or a project with one of our industrial partners.
  • Benefit from tapping into our research specialisms, including industrial applied maths, machine learning, statistics, data science, scientific computing, image processing, modelling of waves and fluids, stochastic modelling and mathematical biology.
  • Be part of our supportive postgraduate community.
  • Live and study in a beautiful world heritage city.

Optional placement year

This course gives you the option of extending your course by a year to go on a placement.

Going on placement gives you the opportunity to apply your skills and knowledge to 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. We have links with some of the industry’s leading companies.

Fees and funding

UK students
13,400
International students
31,600

Find out about funding opportunities at the University of Bath

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
  • MSc including placement year
    full time
    24 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Admissions
Email
pgtadmissions@bath.ac.uk
Phone
+44 (0)1225 385 115