The Mannheim Master in Data Science program encourages people with a background not related to computer science like me to pursue a career in the new field of Data Science. It is a very innovative program, which offers a combination of courses in statistics, math, data management, and data analytics. The professors are doing exciting research and my research position offered me great insights into the field, which has allowed me to continue learning outside the classroom.
Degree: Master of Science (M.Sc.)
Standard period of study: 4 semesters (2 years)
ECTS credits: approx. 120
Language of instruction: English
Language requirements: English; for information on the required proof of language proficiency see “Admission requirements and selection”
Program start: Fall semester (September) and spring semester (February)
School: School of Business Informatics and Mathematics
Semester fee: €194.30 (further information)
Tuition fees for international students from non-EU countries: €1,500
Tuition fees for a second degree: €650
The Mannheim Master in Data Science is an interdisciplinary program of study that is unique in Germany. Courses in the fields of Business Informatics, Sociology, Political Science, and Mathematics all deal with big data. In this master’s program, students also have the opportunity to attend courses offered by the interdisciplinary Data and Web Science research group at the University of Mannheim.
Students learn to collect, organize, analyze, and visualize large amounts of data using the appropriate tools and methods. The master’s program comprises five major areas:
The master’s program stands out due to the practice-oriented orientation of its curriculum. The school maintains cooperative alliances with various international (IT) enterprises and corporations such as SAP, ABB, or Heidelberg Cement that are headquartered in the region.
Students thus have the opportunity to either write their master’s thesis within the context of a research project or while interning with a company.
This program of study is taught completely in English.
Thanks to close and interdisciplinary collaboration between the departments of Business Informatics, Sociology, Political Science, and Mathematics you can take advantage of the excellent range of courses available in different areas. You can select from a wide range of modules and focus on areas that suit your goals and interests.
With only about 55 students, the class size of this program of study is rather small. Students in the master’s program Mannheim Master in Data Science thus benefit from a superb student-to-teacher ratio. A motivated and interdisciplinary team of professors will be happy to personally answer any study-related questions.
The University of Mannheim is part of a global network. The university’s ties to more than 450 partner universities all over the world do not only impact life on campus, but also open numerous doors to those students who wish to go abroad.
The various departments have numerous close contacts to the industry that students can benefit from when looking for an internship or carrying out the mandatory team project at a company. They even have the opportunity to write their master’s thesis in cooperation with a company.
According to a 2012 article in the magazine Harvard Business Review, to be a data scientist means to have “the sexiest job of the 21st century”. Why? Data management and data analysis are becoming more and more important in the field. Expert data scientist are very much sought-after in a variety of fields, our graduates thus have excellent career prospects.
Data scientists are employed by both national and international companies and in the civil service, e.g. in marketing, production, and logistics, i.e. wherever large amounts of data have to be processed. Of course, the Mannheim Master in Data Science degree also qualifies for a career in academia.
Examination regulations for the master’s program do not provide for a mandatory internship. If you would like to do a voluntary internship, the School of Business Informatics and Mathematics, thanks to its strong business contacts, will be in the best position to to assist you with the organization.
Graduates of the master’s program Mannheim Master in Data Science qualify for a doctoral program either as research assistants or external doctoral candidates at a chair.
Applicants need to have a bachelor’s degree in Informatics, Mathematics, or a related field to be admitted to the master’s program Mannheim Master in Data Science. A degree is deemed sufficient if it is recognized as equivalent by the admissions committee. The following requirements must be met:
The requirement of 48 ECTS credits in the relevant subjects must be met at the time of the first examination registration. The University of Mannheim does not offer any preparatory courses in which you may get ECTS credits to meet the admission requirements.
You must be very proficient in English. We accept the following as proof of language proficiency:
If you have not yet completed your bachelor’s program by the application deadline, you may still be admitted to the master’s program as long as you provide proof that you have obtained at least 130 ECTS credits. In this case, your admission to the program is subject to receipt of your degree certificate up to a specific date (refer to selection statutes).
Under “Admission requirements and selection” we have compiled the most important selection criteria of the program for you. For more detailed explanations of the selection process and the legally binding requirements of the degree program, please refer to the selection statutes.
The application deadline for fall semesters starts on 1 April and ends on 15 May (subject to approval).
For spring semesters the application is possible from 15 October until 15 November.
The University of Mannheim is the most popular university in Germany
In the students' vote on the Studycheck.de platform, the University of Mannheim has reached the top position among all universities. This makes the University of Mannheim the most popular university in Germany.
read more about the award (in German)