Mannheim Master in Data Science

Changes to the application process

In light of the current coronavirus situation, we have to change the application process for our master's programs. Please click here for detailed background information.

However, as an applicant, you will not suffer any disadvantages as a result. The following changes apply to the Mannheim Master in Data Science program:
Proof of English language proficiency: The new deadline for submission of the required proofs is October 15, 2020.

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.

Rohit Gupta, Mannheim Master in Data Science / Photo credit: Leonie Kopetzki
  • Program facts and information

    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 further information on the required proof of language proficiency see Admission requirements and selection

    Program start: Fall semester (September) and spring semester (February)
    Academic calendar

    School: School of Business Informatics and Mathematics

    Semester fee: €190,30 (more)
    Tuition fees for international students from non-EU countries: €1,500
    Tuition fees for a second degree: €650

  • Program overview

    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:

    • Fundamentals (0-4 ECTS credits)
    • Data management (24-36 ECTS credits)
    • Data analysis (30-54 ECTS credits)
    • Exercise courses, seminars, and research projects (12-16 ECTS credits)
    • Master's thesis (30 ECTS credits)

      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.

    • Why study the Mannheim Master in Data Science program?

      Thanks to close collaboration between the departments of Business Informatics, Sociology, Political Science, and Mathematics you can take advantage of the excellent range of courses available in four different areas. You can select from a wide range of modules and focus on areas that suit your goals and interests.

      Top support
      With only about 25 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-faculty 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.  

      Strong business contacts
      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.

    • Career opportunities

      According to the magazine Harvard Business Review 2012, 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 enterprises 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.

    • Required interests and skills

      Students in the master’s program Mannheim Master in Data Science should

      • be interested in IT and programming,
      • have a general understanding of statistics and mathematics,
      • be innovative,
      • be capable of analytical thinking.
    • Program structure

      Module catalog
      The module catalog gives you an overview of the courses and their content.

      Studying abroad
      The University of Mannheim is partners with 450 universities around the world. In collaboration with the International Office, the school can help you plan a period of study abroad. In the master's program Mannheim Master in Data Science, studying abroad is optional.

      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.

    • Doctorates

      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.

    • Admission requirements and selection

      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:

      • a total of 180 ECTS credits or a standard period of study of six semesters,
      • a total of at least 48 ECTS credits in informatics, mathematics, statistics, or empirical research methods.

      Language requirements
      You must be very proficient in English. We accept the following as proof of language proficiency:

      • a university entrance qualification from a school with English as the language of instruction,
      • the successful completion of a program of study at a higher education institution with English as the language of instruction and examination in at least 50% of the courses and examinations,
      • Graduate Management Admission Test (GMAT) with a minimum score of 500 points,

      Conditional admission
      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).

      Selection statutes
      You can find the exact requirements for the program in the selection statutes, which are only available in German.

    • Application

      Application deadlines
      Please note:
      In light of the current situation due to the coronavirus pandemic, we have modified our application deadline: Applications can be submitted as of May 1, 2020.
      Current information on the application procedure
      Normally, the following deadlines apply:
      The application period for the fall semester is from March 15 to May 31. You can also start your program in the spring semester; the application period is from October 1 to November 15.

      Admission to an advanced semester
      If you want to apply for an advanced semester, please contact Ms. Dörr in the Admissions Office.


    Contact the School of Business Informatics and Mathematics

    Contact the School of Business Informatics and Mathematics

    University of Mannheim
    School of Business Informatics and Mathematics
    B6, 26
    68159 Mannheim
    Consultation hour(s):
    Please note: Due to the corona virus the faculty can only be reached by mail.
    telephone consultation hours every Wed, 10 to 12 a.m.
    Student Advisory for the Business Informatics Degree Program

    Student Advisory for the Business Informatics Degree Program

    Consultation hour(s):
    by appointment
    Admissions Office

    Admissions Office

    University of Mannheim
    L 1, 1 – Room 157, 158
    68161 Mannheim