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.
The MSc Maths with Data Science for Industry is available as a one year course without a placement year, or a two year course with a placement.
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.
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.
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