Technical University of Munich

Overview

The Master of Science in Mathematical Finance and Actuarial Science at the Technical University of Munich (TUM) equips students with the skills to model and analyze complex problems at the intersection of finance, insurance, and risk management. The program emphasizes stochastic methods and provides a robust foundation in both mathematical finance and actuarial science.

What you'll study

The curriculum is designed to blend core and specialized coursework, enhancing your mathematical and statistical abilities while applying them to real-world financial and insurance challenges. Students can choose from two specialization tracks: mathematical finance or actuarial science, while also gaining insights into the complementary field.

Core areas of study

• Mathematics & stochastic methods: Fundamental concepts in advanced calculus and stochastic analysis.
• Data and modelling: Techniques in data science and quantitative methods.
• Economics & econometrics: Tools for analyzing economic relationships and parameter estimation.
• Actuarial science: Focus on risk assessment, insurance modeling, and actuarial techniques.
• Mathematical finance: Techniques for modeling financial markets and assessing risk using mathematical approaches.

Specialisation

• Students select one specialization track (mathematical finance or actuarial science).
• Courses are structured to ensure a comprehensive understanding of both areas, enhancing your overall perspective on risk.

Capstone / final assessment

The program concludes with a final academic assessment, such as a master’s thesis. Specific details regarding the thesis format and credit allocation should be verified through the official TUM module handbook.

Entry requirements

Specific requirements for standardized tests such as GRE or GMAT, as well as GPA scores, are not detailed for this program. Prospective students should consult the official TUM website for the most accurate and updated information.

Career prospects

Graduates of the MSc in Mathematical Finance and Actuarial Science are well-prepared for diverse career opportunities in finance, insurance, and risk management sectors. With a strong foundation in quantitative methods and risk analysis, they can pursue roles as financial analysts, actuaries, risk managers, or data scientists in various industries.