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You should have an undergraduate degree in a maths-related discipline. No prior knowledge of data science is required.
Months of entry
Learn about key approaches in applied maths and data science that can be integrated to solve real-world problems.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.
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- +44 (0)1225 385 115