MSc Financial Mathematics with Data Science
Develop a strong foundation of quantitative, mathematical and computational skills relevant to a career in the financial sector.
Finance is a dynamic industry, with innovation in quantitative methods driving fast-growing areas such as FinTech. Advances in machine learning and increased availability of data are allowing organisations to make better decisions and improve their products and services.
Implementing these advances requires a new generation of graduates with a range of skills in quantitative, mathematical and data science fields. Skills in data science are increasingly sought after by industry.
This course will reinforce your mathematical skills across a wide range of topics and equip you with quantitative skills desired by employers in the financial industry. You'll gain a broad education in mathematical and data science methods relevant to modern financial institutions. You’ll develop a practical and theoretical understanding of machine learning and other data science tools, and the software skills to successfully implement them.
Develop a strong foundation of quantitative, mathematical and computational skills relevant to a career in the financial sector.
Finance is a dynamic industry, with innovation in quantitative methods driving fast-growing areas such as FinTech. Advances in machine learning and increased availability of data are allowing organisations to make better decisions and improve their products and services.
Implementing these advances requires a new generation of graduates with a range of skills in quantitative, mathematical and data science fields. Skills in data science are increasingly sought after by industry.
This course will reinforce your mathematical skills across a wide range of topics and equip you with quantitative skills desired by employers in the financial industry. You'll gain a broad education in mathematical and data science methods relevant to modern financial institutions. You’ll develop a practical and theoretical understanding of machine learning and other data science tools, and the software skills to successfully implement them.
