Data Engineering and Analytics
Master of Science (M.Sc.)
The master's degree program in Data Engineering and Analytics deals with innovative solutions for handling and analyzing very large amounts of data.Department of Informatics
Information on Degree Program
What does this program cover?
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. 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:
How is the program structured?
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.
The curriculum comprises mandatory courses on Data Analysis and Data Engineering. Advanced lectures are offered in these area of studies: Data Engineering contains lectures about distributes systems, distributed databases, query optimization, database systems on modern CPU architectures and high performance computing. Data Engineering and Analytics offers lectures about machine learning, business analytics, computer vision and scientific visualization. Data Analysis is concerned with topics that require solid mathematical foundations: Fundamentals of Convex Optimization, Computational Statistics and more.
What is the language of instruction?
Required language skills for admission:
You need sufficient English language skills if you wish to apply for this program. Evidence of your language proficiency has to be submitted before the end of the application deadline. Learn more about recognized certificates and other ways to prove your English language skills.
This evidence of your language proficiency confirms that you comply with the minimum language requirements for admission to the program. Depending on the program and your individual background, it may be necessary for you to keep working on your language skills during your studies. Be sure to take a look at the services of our Language Center.
Language of instruction:
The language of instruction for this program is usually English. This means that most of the modules are offered in English. Some courses may, however, be taught in German.To learn more about the language of instruction for each module, contact the departmental student academic advisor of this program.
Which professional opportunities can I take up with this qualification?
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
Binding Regulations for Progression of Studies, Examinations and Application
Application and Admission
How do I apply? (start of program in winter semester 2019/20)
Minimum requirements to apply for a Master's program at TUM are a recognized undergraduate degree (e.g. a bachelor’s) and the successful completion of the aptitude assessment procedure. Aptitude assessment allows the TUM school or department to which you are applying the opportunity to evaluate your individual talents and motivation for study.
You must apply online using the TUMonline application portal. After completing the online application process, you will receive a list of documents you must submit to TUM in hard copy by the application deadline.
- Applying for a master’s program: Application, admission requirements and more
- Important information about your application from the TUM school or department
Which documents do I need to submit? (start of program in winter semester 2019/20)
- Online Application Print-out (signed)
- Transcript of Records (certified copy)
- Proof of English Language Proficiency (certified copy)
- Complete and Current Résumé (CV)
- Letter of Motivation
- Analysis of Curricula
- Module Catalog
- Most Current Photo (as for ID)
- Passport (copy)
- Student Health Insurance Certificate
- Preliminary evaluation by uni-assist for graduate certificates (i.e. a bachelor's degree) obtained in a country outside of the EU/EEA
We may require additional documents depending on the type of educational background you earned and your country of origin (e.g. GRE, GATE, APS). After completing the online application process, you will receive a list of documents you must submit to TUM in hard copy by the application deadline.
What application deadlines do I need to meet? (start of program in winter semester 2019/20)
Application period for winter semester: 01.01. - 31.05.
Application period for summer semester: 01.09. - 30.11.
Our online application portal TUMonline will create an application form and a checklist with the documents you have to hand in. The checklist shows which documents you need for admission and which for enrollment.
You must submit the signed application form and all documents you need for admission before the application deadline.
Please also submit the documents we need for your enrollment as soon as possible. If individual documents for enrollment are not available to you yet, you can hand them in up to five weeks after the start of the lecture period. However, we recommend that you submit all required documents well before the semester begins, as you will not be enrolled until all documents have been received.
Please check your TUMonline account regularly, to see if we have any queries to your documents or if you have to amend one or more documents.
On what basis does TUM select applicants for admission?
Selection takes place through an aptitude assessment procedure. Aptitude assessment is a two-part procedure after the submission of an official application to a program. In this procedure, the TUM school or department determines whether you meet the specific requirements for its master’s degree program.
In the initial stages, the grades you obtained during your bachelor's program, as well as your written documents, will be evaluated using a point system. Depending on the amount of points accumulated, applicants are either immediately admitted, rejected or invited to an admissions interview.
Where can I find the online application portal?
The online application process takes place through our application portal TUMonline.
Do I have to complete an internship?
This degree program does not encompass a compulsory internship nor is an internship a requirement for admission. However, it is recommendable, as a rule, to gain practical experience as soon as possible.
What are my options after earning this degree?
You have earned your master’s degree and are ready to start your career? TUM Alumni & Career can assist you with questions regarding professional orientation, job search and job application.
If you are interested in continuing your studies, you will find information of doctoral studies at TUM, here.