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• The two-year Master's programme in Actuarial and Financial Mathematics is a scientific-research-oriented programme that provides the theoretical foundations and skills necessary for a comprehensive understanding of large areas of the increasingly complex financial and actuarial markets. It also provides a link between mathematics and financial economics.
• In terms of content, the programme builds on the knowledge acquired in the Bachelor's degree programme in Business Mathematics (or the Bachelor's degree programme in Mathematics with Economics as minor subject) at TU Kaiserslautern. In addition to a well-founded basic mathematical education, the student is expected to have already acquired basic knowledge in theoretical and practical aspects of stochastics as well as an in-depth knowledge in probability theory.
• On the one hand, the programme enables students to assess the possibilities (but also limitations) of mathematical modelling for problems in the financial industry and/or actuarial industry, to develop powerful mathematical models and to put them into practice. On the other hand, students will be introduced to current application-oriented mathematical research in their major field of study. After completing their studies, graduates will be qualified to undertake scientific work and will be able to creatively adapt to new conditions in professional life and demonstrate skills such as classifying scientific findings and being able to apply them in a focused manner.
• In the first three semesters of study, the curriculum includes the provision of well-founded knowledge in the areas of “Actuarial and Financial Mathematics”, “Statistics and Computational Methods” and “Financial Economics”. The second and third semesters of study also allow the students to delve into the subject matter and prepare them for their master’s thesis. In addition to the lectures (or lectures with exercises), the curriculum provides a coordinated sequence of seminars, reading courses and project seminars, which help deepen the knowledge in financial and actuarial mathematics. Instead of the project seminar, a relevant internship can also be done. The fourth semester is reserved for the working on the master’s thesis (6 months).
• All mathematics courses are held in English. Semesters abroad are organized by the Graduate School"Mathematics as a Key Technology". 
• Graduates will typically find employment in banks, insurance companies or management consultancies. Other attractive fields of employment include research and teaching in applied mathematics or economics.
  Note: Click here for Module Information.

• Winter semester begins in October. • Summer semester begins in March/April. • International students requiring visa must apply accordingly.

• Applicants have to hold a qualified BSc degree in Mathematics or Economathematics (equivalent to the correspondent study programmes in Kaiserslautern).
• Profound knowledge in probability theory and stochastic is required.

Profound knowledge of the English language (e.g., TOEFL 550 paper-based/ 213 computer-based /80 internet-based)

• Application form
• Curriculum Vitae
• Educational Documents (transcripts/Mark sheets)
• Motivation letter
• Language proficiency certificate
• Work experience letter
• APS certificate for Chinese & Vietnamese applicants etc.
  Note: List of documents may change from time to time, please check on Course Website.

• Winter semester: 30 April (Early bird admission: 15 November)
• Summer semester: 31 October

• Graduate School "Mathematics as a Key Technology" Department of Mathematics Technische Universität Kaiserslautern Gottlieb-Daimler-Str. 47 67663 Kaiserslautern
• Please check here.

• Yes, Finding a part time employment is possible once you arrive in Germany. If you speak German, then it gets easy for you.
• You are permitted to work for certain number of hours e.g.20 hours/week with a valid study permit.
• Please check on your visa document, it is mentioned on it.

Please check with university after you get an admission.

• Technical University of Kaiserslautern is a public research university in Kaiserslautern, Germany.
• There are numerous institutes around the university, including two Fraunhofer Institutes (IESE and ITWM), the Max Planck Institute for Software Systems (MPI SWS), the German Research Center for Artificial Intelligence (DFKI), the Institute for Composite Materials (IVW) and the Institute for Surface and Thin Film Analysis (IFOS), all of which cooperate closely with the university.^[8]
• TU Kaiserslautern is organized into 12 faculties.
• Approximately 14,869 students are enrolled at the moment.
• The TU Kaiserslautern is part of the Software-Cluster along with the Technische Universität Darmstadt, the Karlsruhe Institute of Technology and Saarland University.
• The Software-Cluster won the German government's Spitzencluster competition, the equivalence to the German Universities Excellence Initiative for clusters.

• The areas of optical technologies/quantum optics and solid state physics/materials science play a central role in research at the Department of Physics at the TU Kaiserslautern. In almost all working groups, optics serves either as an object of scientific interest or as a method of investigation.

• Basic research occupies a large part of the Department of Physics and is intensively pursued by both the experimental and theoretical working groups.

• Theoretical physics in Kaiserslautern focuses on quantum optics and solid-state physics/many-body systems. Basic experimental physics revolves around the topics of ultrashort time physics with laser pulses (e.B. on the femtosecond time scale), coherent control of electronic states, magnetism, nanostructure physics and biophysics.
• Laser-assisted processes play a major role in basic research in the field of experimental and theoretical atoms and molecular physics.
• In application-oriented research, many of the key topics of the 21st century can be found in the Department of Physics.
• In experimental and applied physics, the main research directions are laser physics, integrated optics and optoelectronics, magnetism and magnetoelectronics, solid state physics, surface physics and materials science, and nano- and biophysics.