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MSc Mathematical Finance and Actuarial Science at Technical University of Munich

Technical University of Munich, Germany

Programme overview

The Mathematical Finance and Actuarial Science master's program provides a demanding vocational education and training in finance and actuarial science. In addition to the foundational subject of stochastic analysis, the specialties of mathematical finance and actuarial science are therefore of central importance. Taught at Garching.

Faculty: TUM School of Computation, Information and Technology  |  Duration: 4 semesters (2 years)  |  Study mode: full-time; English-taught  |  Intake: Possible for both winter and summer semester  |  Location: München, Bayern, Germany

What you will study

The chosen specialty constitutes the core of the master's program – mathematical finance or actuarial science. This is complemented by courses from the remaining specialty as well as content relating to economics and econometrics. In addition, relevant cross-disciplinary courses serve the purposes of cultivating and acquiring soft skills.

Career pathways

As a graduate of the Mathematical Finance and Actuarial Science master's program you are ideally prepared for an occupation in financial markets or insurance. Professional opportunities arise inter alia in areas where mathematical finance expertise is in demand, such as risk management or portfolio theory, as well as in actuarial science.

Official programme page

Application information

Entry requirements

Admission category: Aptitude Assessment for Master. Application period: Winter semester: 01.02. – 31.05. Summer semester: 01.10. – 30.11. Language proficiency required for admission: English. Selection takes place through an aptitude assessment procedure. The aptitude assessment is a two-part procedure after the submission of an official application to a program. In this procedure, the TUM school determines whether you meet the specific requirements for its Master’s degree program.

Intake: Possible for both winter and summer semester

Duration: 4 semesters (2 years)

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