Master's Mathematics in Data Science

OVERVIEW

Program type:
Full-time Master's program

Start of study:
Winter and summer term

Standard duration of study:
4 semesters, full-time

Language of instruction:
English and German (program can be completed entirely in English)

Degree:
Master of Science (M.Sc.)

Extracurricular components:
Internship
Study abroad (opt.)

PreDoc Program in Mathematics:
Preparation for a future doctorate during the Master's program
Scholarships available for international students
Website PreDoc

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 (minor Mathematics) or an equivalent qualification in a similar field of study.

Aim of the program:
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 different algorithms and to extend algorithms to solve specific problems.

Study Program:
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 as foreign language competence classes or basic law classes, and also lectures on the social and political implications of big data.

Conjunction with Informatics:
In conjunction with the study program "Mathematics in Data Science" there is the study program "Computer Science: Data Engineering and Analytics" Both study programs aim at familiarizing the student with techniques for data storage and data analysis, which are necessary for the acquisition and evaluation of large data sets. In particular, the study program "Mathematics in Data Science" imparts on the student a deep understanding of the mathematical methods for the modeling and analysis of very large data sets and the computation, simulation, and prediction of complex phenomena. In contrast, the study program "Computer Science: Data Engineering and Analytics" focuses mainly on the technical and algorithmic aspects. At the same time there are numerous courses offered by the Faculty of Mathematics and the Faculty of Informatics that are relevant for both study programs.

Study abroad:
Students enrolled in this master’s program are given the opportunity to study abroad for one or two semesters at one of the many partner institutions located in the U.S., Canada, Australia, Asia, and Europe. Students interested in going abroad receive individual counseling and support from experienced departmental coordinators. The recognition of modules completed during a study abroad is subject to special regulations as part of the general examination regulations.

Career:
The master’s program “Mathematics in Data Science” allows graduates to pursue a career in an interdisciplinary environment. Jobs typically are in the area of research and development, the finance industry, with insurance companies, in logistics and biotechnology, the healthcare system and IT security.

Examination regulations / Module catalog
Subject academic regulations
Module catalog

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APPLICATION

Application period:
For winter term:
January 1 - May 31
For summer term:
September 1 - November 30

Admission / Application procedure:
Find the latest information on...
Aptitude test - why?
Aptitude test

tip For applicants:
If you have any additional questions, please feel free to contact our staff below.

Inquiries about the application procedure:

PD Dr. Peter Massopust
Email: mscapp_datascience@ma.tum.de

Inquiries about academic matters:

Regulations and Counseling:
Dr. Florian Lindemann
master-dsematma.tum.de

Information event

There has been an information event for the two new master programs "Mathematics in Data Science" and "Data Engineering and Analytics" on May 10th, 2016. Here you can find the slides.

 

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