You can complete the programme entirely in English.
Winter semester: 31 May
Summer semester: 30 November
Please refer to the following website for more information on tuition fees at TUM: https://www.tum.de/en/studies/fees/tuition.
Integrated research and degree programmes designed for the future: The TUM School of Computation, Information and Technology (CIT) at the Technical University of Munich (TUM) unites the disciplines of Mathematics, Informatics, and Electrical and Computer Engineering. Our research and teaching activities range from theoretical knowledge to its application, focussing across disciplines on the major challenges of our time, such as the digital transformation. At the same time, our expertise remains firmly embedded in our core disciplines.
Handling and analysing very large amounts of data is an urgent problem in many areas of science and industry, one that requires novel approaches and techniques. The trend towards "big data" is caused by a host of developments:
The Master's programme in 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 and on the other hand creates a solid starting point for ventures into research.
The programme is divided into three areas of study: Data Analysis, Data Engineering and Data Engineering and Analytics:
A Master's degree in Data Engineering and Analytics from TUM will enable you to work in executive positions in industry and will qualify you for a career in research (PhD).
More information here: https://www.cit.tum.de/en/cit/studies/degree-programs/master-data-engineering-and-analytics/
The Master's programme in Data Engineering and Analytics is a two-year programme divided into four semesters. Although it has a strong focus on the management (acquiring, storing, retrieving, sharing, visualising) and analysis of very big data, it is nevertheless a quite flexible programme that allows you to structure your studies towards your preferred sub-areas of interest.
You will attend lectures, practical courses, and seminars, and you will carry out research. The curriculum also includes aspects of the social and ethical impact of managing big data, both within the technical courses and also in specialised support electives.
The Master's thesis is written in the fourth semester.
Internships are not mandatory, but there are good possibilities during lecture-free periods.
Please refer to the following website for more information on tuition fees at TUM: https://www.tum.de/en/studies/fees/tuition.
For more information, refer to: https://www.tum.de/en/studies/fees.
In order to cover personal expenses while studying in Munich, we recommend a budget of at least 900 EUR per month.
Please refer to the following page for more information: https://www.studentenwerk-muenchen.de/en/international/international-students-in-munich/in-preparation/cost-of-living/.
Many international students can have their fees waived or receive scholarships to finance them. You can find all information on waivers and scholarships here.
For further information, see: https://www.cit.tum.de/en/cit/studies/degree-programs/master-data-engineering-and-analytics/.
All applicants must submit proof of sufficient English language skills. The accepted English certificates and ways to prove your English language skills can be found here:
https://www.tum.de/en/studies/application/application-info-portal/admission-requirements/language-certificates
Proof of German language skills is not needed for the application.
Winter semester: 31 May
Summer semester: 30 November
In order to apply at TUM, you need to open a TUMonline account: https://campus.tum.de/tumonline/webnav.ini. Our application wizard will guide you step by step through the online application procedure.
For more information, check:
https://www.tum.de/en/studies/application-and-acceptance/online-application/
There are various job opportunities as teaching and research assistants at the university.
Munich is also a very good place to find internships and jobs at software companies.
Please refer to the following page for more details: https://www.tum.de/en/studies/during-your-studies/living-and-working/jobs-and-internships.
It’s not easy to find a place to live in Munich – but it’s not impossible either! TUM does not own any student residences, but tries to support students and staff in their search for accommodation by providing personal advice, housing listings and useful information to ensure that you can find a place to call your own.
More information: https://www.tum.de/en/studies/during-your-studies/living-and-working/accommodations
TUM has its own "Career Service", which offers application checks, career counselling and a mentoring programme.
https://www.community.tum.de/en/career-service/
To activate the map, click on the "Show map" button. We would like to point out that data will be transmitted to OpenStreetMap after activation. You can find out more in our privacy policy. You can revoke your consent to the transmission of data at any time.
