Master's Mathematics in Bioscience

Mathematics and Statistics in Life Sciences


Program type:
Full-time Master's program

Winter and summer term (winter term recommended)

Standard duration of study:
4 semesters, full-time

Language of instruction:
The study program can be completed in English or German.

Master of Science (M.Sc.)

Minor subject:
Medical Imaging

Extracurricular components:
Study abroad (opt.)

PreDoc Program in Mathematics:
Preparation for a future doctorate during the Master's program
Scholarships available for international students
Website PreDoc

Mathematics and Statistics in Life Sciences is a two-year full time TUM Master’s program that prepares students for future quantitative research and professional careers in a wide range of fields, including medicine, environment, biology, agriculture, health economics, insurance, and government. The program is highly interdisciplinary and offers hands-on experience collaborating with partnering scientists from its affiliated institutions.

TUM Life Sciences biotechnology, food manufacturing and safety, beer brewing, climate change, ecology, molecular biology, forestry, plant breeding

TUM Physics biomedical physics and nano-technology

TUM Informatics bioinformatics and biomedical computing

TUM Mechanical Engineering medical technology, systems biotechnology

Helmholtz-Zentrum München Pfeil diabetes, allergy and asthma research, genomics and high-throughput technologies

TUM MRI – Rechts der Isar Hospital all branches of medicine, including cancer and heart disease

Applicants are expected to have a bachelor’s degree in Mathematics, Statistics, Informatics, Physics or equivalent.

Aim of the program:
This program teaches students the mathematical, statistical and computational methodology underlying quantitative procedures used in life sciences, giving them the necessary skills to assess and solve practical problems, as well as to develop, apply and extend sophisticated mathematical models in diverse applications. Students will learn how to analyze, explain, and share complex results with interdisciplinary teams in a communicative and highly productive manner.

Study program:
A wide variety of courses are offered that allow students to develop their own personalized curriculum, including Mathematical Models in Biology, Computational Statistics, Applied Regression, Parameter Estimation, Multivariate Statistics, Advanced Mathematical Biology, Statistical Learning, Time Series Analysis, Generalized Linear Models, Dynamical Systems, Partial Differential Equations, Numerical Analysis of Partial Differential Equations, and Nonlinear Optimization, among others.

Minor subject:
Students’ broad education in mathematics is supplemented by minor subjects that students can choose from covering a range of disciplines, such as computational biology epidemiology and genetics taught by the program partners.

Study abroad:
Students are given the opportunity to study abroad for one or two semesters at one of the many partner institutions located in the U.S., Canada, Australia, Asia, and Europe. Students interested in going abroad receive individual counseling and support from experienced departmental coordinators.

The mathematical tools and interdisciplinary working skills obtained in this program are ubiquitous to all quantitative professions, and extend beyond just the life sciences. Many career opportunities exist in Munich, including pharmaceutical R&D, food technology and safety management, biotech and biomedical start-up, forest/wildlife monitoring, census and immigration, urban development, and health insurance. Many of the program graduates accept these offers. For those students seeking to do a PhD in the life sciences, Munich offers the most opportunities in Germany.

Examination regulations / Module catalog
Subject academic regulations
Module path
Module catalog



Application period:
For winter term:
April 1 - May 31
For summer term:
October 1 - November 30

Admission / Application procedure:
Find the latest information on...
Aptitude test - why?
Aptitude test

tip FAQs Application procedure

tip For applicants:
If you have any additional questions, please feel free to contact our staff below.

Inquiries about the application procedure:

Dr. Michael Kaplan

Inquiries about academic matters:

Subject academic regulations: Dr. Michael Ritter
Academic counseling: Prof. Dr. Johannes Müller

TUM Mathematik Rutschen TUM Logo TUM Schriftzug Mathematik Logo Mathematik Schriftzug Rutsche

picture math department

Impressum  |  Datenschutzerklärung  |  AnregungenCopyright Technische Universität München