MSc Data Engineering and Analytics at Technical University of Munich

“Big Data” is the driving force behind groundbreaking developments – from machine learning to autonomous vehicles and biotechnology. Students in this program learn to manage, analyze and process very large amounts of data using innovative computer science techniques. Handling and analyzing very large amounts of data is an urgent problem in many areas of science and industry and requires novel approaches and techniques. 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

The program is divided into three areas of study: Data Analysis, Data Engineering and Analytics and Data Engineering. The first area is concerned with fundamentals of understanding and modelling data and the underlying relationships. Data Engineering consists of lectures about the construction of systems that perform efficient and scalable data processing, thus enable the methods of Data Analysis on large data sets.

Career pathways

The master’s programs “Mathematics in Data Science” and “Data Engineering and Analytics” offer access to many career opportunities including: research, consulting, IT security, systems design, and data science in industry. The respective departments offer Ph.D. positions that are the pathway to a career in research.

Official programme page