Financial Engineering
The Master of Science in Financial Engineering at RPTU Kaiserslautern is a distinguished part-time graduate program designed for professionals seeking to enhance their expertise in financial mathematics and quantitative analysis. Offered through distance learning, this English-taught program blends rigorous academic training with flexibility, allowing students to advance their careers while studying. It focuses on financial modeling, stochastic processes, risk management, and derivative pricing, combining theoretical depth with real-world financial applications. The program is structured across six semesters and admits students exclusively in the winter semester.
Delivered by the Distance and Independent Studies Center (DISC), this program provides access to RPTU’s renowned academic faculty and research excellence in applied mathematics. Students benefit from an interactive online learning environment and can apply mathematical concepts directly to professional practice in finance, banking, and insurance. With its unique combination of academic quality, practical relevance, and flexible learning format, the program offers an exceptional opportunity for professionals aiming to specialize in the dynamic field of financial engineering.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 6 semesters
- Location: Kaiserslautern (distance learning)
- Study type: Graduate, part-time, professional distance program
- Admission semester: Winter semester only
- Area of study: Mathematics, Financial Engineering
- Admission modus: Local admission restriction
- Main language: English
Program Structure
Semester 1–2 – Mathematical Foundations
- Probability Theory and Stochastic Processes
- Linear Algebra and Optimization
- Financial Markets and Derivatives
- Computational Methods in Finance
Semester 3–4 – Advanced Financial Modelling
- Risk Management and Insurance Mathematics
- Stochastic Calculus and Asset Pricing
- Portfolio Theory and Quantitative Trading
- Electives: Machine Learning in Finance / Econometrics
Semester 5–6 – Application and Research
- Applied Projects in Financial Engineering
- Seminar in Financial Modelling
- Master’s Thesis and Defense
Career Opportunities
Graduates are equipped for senior roles in finance, risk management, and quantitative analysis across banks, insurance companies, consulting firms, and investment institutions. Typical positions include financial engineer, quantitative analyst, risk modeler, or data-driven strategist, with excellent opportunities in both global finance and actuarial sectors.
Why Choose This Program
This program is ideal for working professionals who want to combine career advancement with a top-tier academic education in financial mathematics. The flexible, distance-learning format allows students to balance work, study, and personal commitments without compromising academic quality.
RPTU’s DISC offers extensive online resources, international faculty, and a strong research foundation in applied mathematics and finance. The program’s practical orientation and interdisciplinary design ensure graduates are ready to tackle modern financial challenges with confidence and precision.
Contact Information
Distance and Independent Studies Center (DISC)
RPTU Kaiserslautern
Erwin-Schrödinger-Straße, Gebäude 57
67663 Kaiserslautern, Germany
Email: fernstudium-fe@rptu.de
Student Advisory Service
Erwin-Schrödinger-Str. 37
67663 Kaiserslautern, Germany
Tel: +49 631 / 205 5252
Email: study@rptu.de
International Office
Gottlieb-Daimler-Straße 47
67663 Kaiserslautern, Germany
Tel: +49 631 / 205-5252
Email: refinta-info@rptu.de
