MSc Degrees in Applied Mathematics (Analytics And Management)

Course start dates: January, March, April, June, September and October. View course

Learn to interpret financial data and apply advanced analytical techniques to support strategic decision-making. View course

Standout to employers in the financial sector with a strong foundation in quantitative, mathematical and computational skills relevant to that industry. View course

Master the power of data to transform banking and finance with this conversion degree. View course

The range of pathways reflects the interdisciplinary nature of the course and we welcome applications from students with backgrounds in a range of… View course

This programme gives you a flexible syllabus to suit the demands of employers that use modern financial tools and optimization techniques in areas such as the financial sector and energy markets. View course

On this course you will develop the skills and knowledge required to enter the evolving world of data science and analytics… View course

Harness the power of data science to revolutionise healthcare and improve lives by transforming complex data into solutions that drive better decision-making. View course

Launch your career as a professional actuary with a world-leading MSc that blends technical rigour, industry relevance and real-world applications. View course

In the Work-Integrated Master’s degree in Mathematics-Economics at Aarhus University, you study part-time while working part-time in a company or organisation. View course

The MSc in Applied Data Science and Machine Learning program, under the expert guidance of Dr. View course

The MSc in Applied Data Science and Generative AI program , under the expert guidance of Dr. View course

Learn how to turn data into actionable insights and solve complex problems in today’s data-driven world while gaining the advanced technical and analytical skills employers value most. View course

Artificial Intelligence (AI) is currently enjoying a period of great interest due largely to advances in data driven AI and machine learning. View course