- Location
- Kaiserslautern
- Degree
- Master of Science
- Area of study
- Mathematics
- Standard period of study
- 4 Semester
- Main instruction language
- English
- Time required
- full-time
- Modes of study
- Face-to-Face studies
- Admission semester
- Winter semester, Summer semester
- Credit points
- 120 ECTS
- Admission restriction
- no
- Aptitude test
- no
- Application period
- Dates
The two-year master's programme in Actuarial and Financial Mathematics is a scientific research-oriented programme that provides the advanced theoretical foundations and skills necessary for a comprehensive understanding of large areas of the increasingly complex financial and insurance market. It also provides a link between mathematics and the field of financial economics (economics).
Key contents are:
• Financial Mathematics
• Actuarial Mathematics
• Statistics and Computational Methods
• Financial Economics
• Project seminar / internship
Building on the knowledge acquired in the bachelor's degree programme in business mathematics (or mathematics with business sciences & economics as subsidiary subject) with a focus on stochastics / probability theory, the first year of study consists of advanced lectures and seminars in financial and actuarial mathematics, supplemented by courses in the field of financial economics as well as statistics and computational methods. The second year serves to deepen the knowledge in one area of financial and/or actuarial mathematics. In addition to advanced lectures, a project seminar (or internship) and a reading course are scheduled as preparation for the six-month thesis.
The project seminar provided for in the second year of study can also be completed in the form of a (relevant) external internship.
If you have any questions about the programme, please do not hesitate to contact the Graduate School Mathematics as a Key Technology:
Dr. Falk Triebsch, Building 48, Room 514
Phone: +49 (0)631/205-3927
E-Mail: gradschool@mathematik.uni-kl.de
https://math.rptu.de/en/studies/advice-and-information
The courses offered are designed in such a way that a study period abroad can be integrated smoothly into the degree programme.
Semesters abroad are supported organisationally by the Graduate School Mathematics as a Key Technology:
https://math.rptu.de/en/organisation/graduate-school/
Prerequisite for the admission to the Master's programme is the successful completion of the Bachelor's examination in Business Mathematics or in Mathematics at RPTU in Kaiserslautern or at least equivalent examination results that include a professionally qualifying university degree (e.g. Bachelor's or Diploma's degree).
As special admission requirements, successful completion of examinations for the modules "Stochastic Methods" and "Probability Theory" (or equivalent modules from the field of stochastics totalling at least 18 credit points) as well as modules totalling at least 16 credit points in Business Sciences & Economics must have been acquired.
In addition, further criteria will be used to check whether you are suitable for the programme in terms of subject and language, see
https://math.rptu.de/en/studium/studiengaenge/msc/fvm
In order to enable students from other Bachelor's or Diploma degree programmes (in particular students with foreign degrees) to be academically at par with the Bachelor’s students from RPTU in Kaiserslautern, candidates might be provided with a conditional admission. This means that the candidates might have to attend additional courses (alongside their usual Master's lectures) and pass the corresponding examinations with a sufficient grade within the first academic year.
The degree programme can be completed entirely in English. Applicants must demonstrate a good level of competence in the English language (e.g. TOEFL of 550/213/80 points). Prior knowledge in German language is not necessarily required, but international students have to pass a German language test within their first academic year.
The StudierendenServiceCenter offers a variety of consultation and information all around studying at the RPTU.