Mathematics for Technology and Data Science Master of Science
An English-taught Master's programme combining applied mathematics, technology, and data science at RPTU Kaiserslautern-Landau.
Best for:Best for Bachelor's graduates in natural sciences or mathematics looking to specialise in data science, AI modelling, and applied mathematical simulations.
Overview
The Master of Science in Mathematics for Technology and Data Science at RPTU University Kaiserslautern-Landau is a full-time, four-semester graduate programme taught entirely in English. Students can choose specialisations in Complex Data Analysis and AI, Modelling for Life Sciences and Biotechnology, or Simulation and Control of Technological Processes. The curriculum offers high flexibility through a broad selection of advanced mathematics and elective modules, supplemented by seminars and a comprehensive master's thesis. Graduates gain rigorous analytical skills and computational expertise tailored to modern technological and scientific challenges.
What you'll do
- Complete advanced coursework across chosen specialisations in data science, life sciences modelling, or technological simulations
- Attend and actively participate in departmental academic seminars
- Fulfill credit requirements by combining core mathematics modules with interdisciplinary electives
- Conduct independent research and write a master's thesis over a six-month period
Requirements
Degree required: Bachelor's degree in natural sciences with a substantial mathematics component covering calculus, linear algebra, functional analysis, vector calculus, differential geometry, differential equations, numerical methods, and stochastics
Degree offered: Master of Science
Language: English; B2 required, demonstrated via an official language certificate
Instruction: English
- Solid foundational knowledge in advanced calculus and linear algebra
- Demonstrated good programming skills
- Proficiency in solving differential equations and numerical methods
- Background in stochastics and functional analysis
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
- Not confirmed by the source
- Teaching language
- Not confirmed by the source
- Taught / research mode
- Not confirmed by the source
- Study mode
- Not confirmed by the source
- Campus
- Not confirmed by the source
- Prerequisites
- Not confirmed by the source
- Application instructions
- Not confirmed by the source
- Tuition
- Not confirmed by the source
- Funding
- Not confirmed by the source
How to apply
Applicants must submit their application documents directly via email to the mathematics graduate school before the specified regional deadlines. Non-EU and EU applicants have distinct deadlines for both winter and summer semesters.
- CV
- BSc transcripts and certificate
- English language certificate
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.