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For more information about Financial Engineering at Distance and Independent Studies Center, TU Kaiserslautern, please visit the webpage using the button above.
The award
MSc
How long you will study
semester
Domestic course fees
EUR 1990 per semester
How you will study
part-time, distance
Course starts
find out
International course fees
EUR 1990 per semester
Advanced knowledge of the fundamental theory, continuous-time financial mathematics skills and the ability to put that expertise into practice, coupled with an understanding of key concepts in actuarial and financial mathematics is more important than ever to an understanding of the increasingly complex financial market. Competition for the best jobs in the finance and insurance sector is also set to intensify, and acquiring that expertise significantly improves your chances of moving into this field or furthering your career in finance or insurance. You can develop the skills you need on the Financial Engineering distance-learning programme at TU Kaiserslautern.
The programme is aimed at graduates of mathematics programmes who are already working, are seeking a career in applied financial mathematics or research, and whose first degree did not provide sufficient expertise in this area. The programme is also and in particular aimed at graduates of other Master's programmes whose Master's or initial Bachelor's degree had a significant mathematics component, who are already working in a relevant industry and who want a more in-depth understanding of financial mathematics and to learn about the background, concepts and methods.
In-depth knowledge of methodology, modern financial mathematics and actuarial theory and their statistical and numerical use in practice are increasingly important in the finance and insurance industry. Regulators now also set strict risk assessment requirements for business portfolios, and these require an understanding of the latest statistical methods and actuarial models. A combination of methods is key in practice, but this demands comprehensive mathematics qualifications in all areas. The programme is tailored to the demands of everyday working practice: interdisciplinary, and designed to teach the advanced financial mathematics and financial economics theory and skills required for an in-depth understanding of the increasingly complex financial market. It also explores links to actuarial science and teaches relevant statistical and numerical methods.
Learn More About This Course
There is more information about this course available on the Distance and Independent Studies Center, TU Kaiserslautern website
Notes about fees for this course
The current tuition fee for the advanced distance learning Master's programme "Financial Engineering" is 1,990 Euro per semester, plus the registration fee of currently 102 Euro per semester) as well as a one-time Master's examination fee of currently 500 Euro for the standard period of study. In accordance with the applicable DISC fee structure, tuition fees are reduced to 30 percent as of the third semester exceeding the standard period of study. This does not apply to the fee for the Master's thesis. This covers, among other things, the costs for online learning materials, on-campus phases and administrative fees. Furthermore, you can also use our online learning environment to commission one of our printing service providers. For a surcharge, they will print, bind and send you the available learning materials (print on- demand). Additional costs that are not included in the tuition fee may be incurred due to the on-campus phases (bed, board, transport, etc.). Tuition fees are charged every semester, depending on your enrolment or re-registration status. If you are enrolling for the first time, it is very important that you do not transfer the tuition fee until you have received your letter of admission. We try to ensure that our study guide is always up-todate. Despite regular revisions, information on costs and programme content may deviate due to shortterm amendments. We therefore kindly ask that you visit our website for information on the current programme conditions prior to submitting your application. Alternatively, you can order our enrolment brochure, which we will send you before the start of the application period (free of charge within the EU). Please note that all binding information on learning materials, costs and conditions of the distance learning programme will be made available online on 02 May of each year (prior to the start of the application period) in the enrolment brochure.
Admission requirements
Admission to the Degree Programme is granted to any person who:
1. fulfils the general requirements according to the registration regulations of TUK,
2. has a first university degree comprising at least six semesters qualifying for a profession of a domestic or foreign state-owned or state-approved university,
3. can additionally provide evidence of a qualified and relevant professional activity performed at least one year in the field of finance or insurance or in a mathematically oriented profession,
4. provides evidence of the special admission requirements,
5. provides proof of at least 100 assessment points and
6. is linguistically suited for the Degree Programme.
Special admission requirements
For admission to the Degree Programme, evidence has to be provided on the passing of the modules "Stochastic Methods" and "Probability Theory" as well as a module containing the course "Measure and Integration Theory" of the Bachelor's programme Business Mathematics of TUK or equivalent modules in the area analysis and stochastic with at least 20 credit points.
Assessment points
With the approval of the Examination Board, applicants who can provide evidence of less than 100 assessment points, but at least 90 assessment points, may be admitted to studies on the basis of the grade of the first university degree qualifying for a profession, a supplementary letter of motivation or a personal interview with the Examination Board.
Linguistic requirements
It is assumed that the student has sufficient active and passive knowledge of the English language
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