MSc Applied Mathematics at Imperial College London

Equipping students with a range of transferable skills in mathematical modelling, analysis and computation for employment in industry and future research. This course provides training in many different areas of applied mathematics, equipping you with a range of mathematical, modelling and presentation skills for problem-solving and research. This course is delivered in small classes, with a broad choice modules from the foundational to highly specialised, allowing you to tailor the course to your interests and background.

Faculty: Faculty of Natural Sciences  |  Department: Department of Mathematics  |  Duration: 1 year, 2 years  |  Study mode: full-time, part-time  |  Intake: October 2027  |  Location: London, England, United Kingdom

What you will study

Modules include Scientific Computing & Machine Learning (SCML) stream, Optional modules: Group A, Computational Dynamical Systems, Computational Linear Algebra, Computational Partial Differential Equations, Finite Elements: Numerical Analysis and Implementation, Mathematical Foundations of Machine Learning, Methods for Data Science.

Career pathways

Graduates of our Department go on to succeed in a wide range of sectors. These include finance, consultancy, data science, cyber security, government, energy, automotive, retail, healthcare, and pharmaceuticals. Typical roles include Quantitative Analyst, Quantitative Researcher, Commodities Trader, Data Scientist, Data Analyst, Business Intelligence Developer, Engineering Analyst, Credit Risk Analyst.

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