Technical University of Munich campus

Engineering

MSc Mathematics in Data Science at Technical University of Munich

Technical University of Munich, Germany

Programme overview

The Master’s degree program Mathematics in Data Science combines a high-profile education in Mathematics with an emphasis on the burgeoning areas of Data Science and Artificial Intelligence. Data-driven technologies open up a wide range of ground-breaking developments and applications – from machine learning to autonomous vehicles, smart grids, or innovative medical diagnostics. Students of the Master’s degree program Mathematics in Data Science (M.Sc.), predominantly taught in English, learn to understand, develop, and apply technologies for collecting, storing, evaluating, and securing large amounts of data. Taught at Garching.

Faculty: TUM School of Computation, Information and Technology  |  Duration: 4 semesters (2 years)  |  Study mode: full-time; English-taught  |  Intake: Possible for both winter and summer semester  |  Location: München, Bayern, Germany

What you will study

This program places an emphasis on methods and algorithms from statistics, machine learning, optimization, and the theory of data representation. The focus lies in the theoretical and practical aspects of data engineering, data analysis, machine learning, and data science. In addition, students are to attend interdisciplinary courses such basic law classes, and also lectures on the social and political implications of “Big Data” and Artificial Intelligence.

Official programme page

Application information

Entry requirements

Admission category: Aptitude Assessment for Master. Application period: Winter semester: 01.02. – 31.05. Summer semester: 01.10. – 30.11. Language proficiency required for admission: English. Selection takes place through an aptitude assessment procedure. The aptitude assessment is a procedure after the submission of an official application to a program. In this procedure, the TUM school determines whether you meet the specific requirements for its master’s degree program.

Intake: Possible for both winter and summer semester

Duration: 4 semesters (2 years)

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