Mathematics in Data Science

The Master's in "Mathematics in Data Science" is a full-time degree program that usually takes two years to complete. Applicants must have a bachelor’s degree in Mathematics or a bachelor’s degree in Computer Science (with minor Mathematics) or an equivalent qualification in a similar field of study.

The master's program "Mathematics in Data Science" is oriented towards students who want to receive a high-profile education in mathematics with an emphasis on the burgeoning area of Big Data. Graduates of this program are qualified to understand in detail complex techniques for data editing and data analysis, how to adapt complex models to concrete problems, to combine and redevelop them in order to derive prediction and classification models. They are qualified to assess the capabilities and limits of differ

For a comprehensive description of the program, please refer to the degree program documentation:

• Degree program documentation for the master's program in Mathematics in Data Science (PDF, German) 

Graduates of the master “Mathematics in Data Science” stand out for the following skills and competencies:

• The graduates know statistical methods for the classification of huge data sets.
• The graduates can handle methods for representation and reduction of huge data sets and how to analyze the data for certain structures (spectral analysis, compressed sensing).
• Employing different analysis methods, graduates can develop suitable models to recognize and analyze data.
• They can develop complex forecast models for future developments.
• Graduates know methods for secure and confidential data storage and can apply them to handle data privacy concerns.
• They know state of the art technologies for storing and analyzing data.
• Graduates of the master program “Mathematics in Data Science” are capable of identifying and formulating advanced problems based on current research.

The Master of Mathematics in Data Science qualifies students to understand and develop mathematical models, methods, and algorithms for data organization and interpretation. They acquire knowledge from statistics, optimization, and different mathematical theories of data representation and apply it in a machine learning context. This program offers mathematics students the unique opportunity of applying their knowledge in practical aspects of data management.

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. 

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 English.

• Information on exams
• Information on studying abroad

The tuition fees for international students from third countries for this degree program are 6,000 euros per semester.

Many international students can have their fees waived or receive scholarships to finance them. You can find all information on waivers and scholarships here.

Please note: The semester fee as a contribution to the student union must be paid additionally. It varies depending on where you are studying. You can find all information on the semester fee here.

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 to which you are applying the opportunity to evaluate your individual talents and motivation for study.

During the application period, you must apply through the TUMonline application portal and upload your application documents.

If you receive an offer of admission, you will additionally have to submit individual documents as notarized hardcopies by post to be enrolled.

Generally, applicants with a qualification for postgraduate studies (e.g. a bachelor’s) obtained outside of the EU / EEA must have their documents reviewed in advance through uni-assist.

In detail:

• Applying for a master’s program: Application, admission requirements and more 
• Important information about your application from the TUM school

• Degree Certificate and Diploma or Subject and Grade Transcript of Studies to Date
• Transcript of Records
• Proof of English Language Proficiency
• Letter of Motivation (in English)
• Essay (in English)
• List of Best Credits
• Curriculum (e.g. module description)
• Complete and Current Résumé
• Passport
• Preliminary Documentation (VPD) if the qualification for graduate studies (e.g. a bachelor's) is obtained outside the EU/EEA

We may require additional documents depending on your educational background and your country of origin. Complete the online application to receive a comprehensive list of the required documents.

Further information on the required documents can be found on the school's degree program page.

• Application for Enrollment (signed)
• Degree Certificate and Diploma (certified copy)
• Transcript of Records (certified copy)
• Most Current Photo (as for ID)
• Digital notification of your health insurance status from a German public health insurance provider (requested by applicant)

We may require additional documents depending on the type of educational background you earned and your country of origin. After accepting an offer of admission in TUMonline, you will receive a list of documents you must submit to TUM in hardcopy for enrollment.

Application period for the winter semester: 01.01. – 31.05.
Application period for the summer semester: 01.09. – 30.11.

During the application period, you must apply through the TUMonline application portal and upload your application documents. Please be aware that we can only process your application if you upload all required documents within the application period.

We will review your application as soon as it is complete. 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.

After receiving admission, you will see in TUMonline which documents you have to submit for enrollment, and in which form. Please note that you always have to send the signed application for enrollment and all notarized hardcopies by post.

We recommend that you submit the documents for enrollment as soon as possible after receiving admission. If individual documents are not available by then, you can submit them up to 5 weeks after the start of the lecture period. You will, however, only be enrolled once we have received all documents.

You can check the status of your application at any time in your TUMonline account.

Selection takes place through an aptitude assessment procedure. 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.

In the initial stages, the competencies 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. 

In detail: 

• Further information on the application procedure can be found on the school's degree program page.

• Aptitude Assessment for Master
• Information on the Aptitude Assessment (German) (PDF 2 MB)