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11/30/2025Handling and analyzing very large amounts of data is an urgent problem in many areas of science and industry and requires novel approaches and techniques. The trend towards “Big Data” is caused by a host of developments: Firstly, the creation and storage of large data sets becomes feasible and economically viable, for example due to price decreases in storage space, sensors, smart devices, social networks and many more. Secondly, technical advances for example in multi-core systems and cloud computing make it possible to examine data sets at large scale. And thirdly, such amounts of data do not only origin in the “classical” domains like business data, but now are created in many areas of life. Consider vehicles, that create sensor data and share information via intelligent networking, or consider data that is created by intelligent energy grids. The master program Data Engineering and Analytics steps up to these developments and provides an education that on the one hand enables graduates to design and plan industry grade solutions in the area of Big Data, on the other hand creates a solid starting point for ventures into research. For a comprehensive description of the program, please refer to the degree program documentation: Degree program documentation for the master's program in Data Engineering and Analytics (PDF, German) 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. Typical job profiles in industry include data analysts and data engineers. Data engineers master very large databases and distributed information systems and are responsible for IT security and applied data analytics for structuring data. Data analysts filter and extract information from large data sets based on statistical and mathematical methods and tailor them towards informed strategic decisions
#86
#3
Public
Germany
Garching
Bavaria
No
4 Semester
SummerWinter
120 ECTS
Full Time
General Requirement: TOEFL - Internet based Test (iBT): 88. Only the Test Date Score is valid, MyBest Score will not be accepted. iBT Home Edition: 88. Only the Test Date Score is valid, MyBest Score will not be accepted. , IELTS - IELTS Academic with a minimum overall band score of 6.5. IELTS Online Academic with a minimum overall band score of 6.5., CAE (Cambridge Advanced English), Grades A, B, C , CPE (Cambridge Proficiency English), Grades A, B, C , PTE Academic with an Overall Score of at least 65 points., PTE Academic Online with an Overall Score of at least 65 points.
IELTS/TOEFL: TOEFL - Internet based Test (iBT): 88. IELTS - IELTS Academic with a minimum overall band score of 6.5.
Tuition Fee (Non-EU): 6000per Semester
Tuition Fee (EU): 85per Semester
Semester Contribution: 85
Winter: 01.02. – 31.05.
Summer: 01.09. – 30.11.
ApplicationEndDate: 30 November 2025 at UTC
ApplicationEndDateNonEU: 30 November 2025 at UTC