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MSc Mathematics with Data Science for Industry

  • DeadlineStudy Details:

    MSc 1 year full-time

Course Description

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.

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.

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Fees

For fees and funding options, please visit website to find out more

Student Destinations

Mathematics and data are fundamental to modern science and many industries are looking for graduates who can work across these fields. You’ll also have acquired the essential foundation for further postgraduate study and research within related fields. Our dedicated careers team offers individual guidance to help you decide between employment and further study.

Module Details

Compulsory course units

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

Semester 1

  • Mathematical modelling for industry
  • Industrial mathematics: context and practice
  • Applied Machine Learning
  • Plus optional units

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.

  • 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
  • Viscous fluid dynamics

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