MSc Financial Mathematics & Data Science

University of Strathclyde

The MSc in Financial Mathematics & Data Science is designed for students with a background in mathematics. You’ll:understand key concepts and theories in the field of financial mathematicsgain advanced practical skills in problem solving, data analysis, machine learning, processing of big data, predictive modelling and the use of statistical software packages R and Pythonbe able to apply the skills that you gain in a financial settingbe equipped with the necessary training to work as a statistician and data scientist in the financial industryOur MSc Financial Mathematics & Data Science is an advanced course that offers you the opportunity to develop theoretical and practical skills in financial theory, statistics and data science.You'll be supported by expert members of staff across three departments to gain the knowledge and skills required to apply quantitative techniques in a financial context. Following completion of this course, you will be able to:explain key concepts in financial theory and data scienceapply key methods in data science to financial contexts (for example, machine learning, numerical methods, stochastic processes)apply knowledge and problem-solving skills in new or unfamiliar situations, including in multidisciplinary contextshandle complex situations, and formulate judgements with incomplete or limited informationinterpret the output of models and analysis, and explain how these relate to real lifeuse the R and Python programming packages to carry out analysiscommunicate results to specialist and non-specialist audiences, both in written reports and in presentations