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Mannheim Master in Social Data Science

General questions


  • Degree plans and course schedules

    Note: More information will be uploaded during this semester.

    Students learn to collect, organize, and analyze large amounts of data using the appropriate tools and methods to answer questions related to Social Sciences. The master’s program comprises five major areas:

    • Fundamentals of Data Science (27 ECTS credits)
    • Data Science Methods (27 ECTS credits)
    • Advanced Data Science Methods (18–23 ECTS credits)
    • Data Science Applications (18–23 ECTS credits)
    • Master's Thesis (30 ECTS credits)

    This program of study is taught completely in English.

    Example Study Plan

  • Examination regulations and module catalog

    TBA

    The module catalog 2024/2025 (and Appendix) gives an overview of the course and contents of the program.

    Please read the examination regulations of your program carefully.

  • Examination committee

    Student representative: 

    You can contact the examination committee via pruefungsausschuss.wimmail-uni-mannheim.de           

    Tasks of the central examination committee

    We are responsible for the following topics:

    • Advice on examination regulations
    • Advice on module changes
    • Advice in individual cases (such as extension of deadlines)
    • Approval of reasons for withdrawal or delay
    • Extension of examination deadlines
    • Serious cases of cheating and breaches of regulations
    • Determination of definitive failure with no option to re-sit
    • Identification of missed deadlines
    • Invalidity of examinations
    • Appeal procedure
    • Recognition of coursework and examinations
    • Semester recognition certificates for BAföG, form 5 according to § 48 BAföG (also for LAG WPO)
    Birgit Czanderle, M.A.

    Birgit Czanderle, M.A.

    Studien­erfolgskoordinatorin, Studien­coaching Wirtschafts­informatik, MMDS und MMSDS, Kontaktstelle zum Prüfungs­ausschuss
    Universität Mannheim
    Fakultät für Wirtschafts­informatik und Wirtschafts­mathematik
    B 6, 26
    Gebäudeteil B – Raum B 0.05
    68159 Mannheim
    Sprechstunde:
    nach Vereinbarung
  • Advisory service

    The student advisory (run by the study coach and program manager) is a combined offer for the Mannheim Master in Data Science program.  

     You can consult us in questions regarding:

    • the study program
    • the module catalog
    • the examination regulations
    • cases of hardship
    • questions about module changes
    • course contents
    • your degree plan (modules, tracks, thesis)

    You can contact the advisory service via studienberatung.wimmail-uni-mannheim.de.

    Birgit Czanderle, M.A.

    Birgit Czanderle, M.A.

    Studien­erfolgskoordinatorin, Studien­coaching Wirtschafts­informatik, MMDS und MMSDS, Kontaktstelle zum Prüfungs­ausschuss
    Universität Mannheim
    Fakultät für Wirtschafts­informatik und Wirtschafts­mathematik
    B 6, 26
    Gebäudeteil B – Raum B 0.05
    68159 Mannheim
    Sprechstunde:
    nach Vereinbarung
    Lisa Wessa, M.A.

    Lisa Wessa, M.A.

    Studien­gangs­management B.Sc. Wirtschafts­informatik, M.Sc.Wirtschafts­informatik und Mannheim Master in Data Science
    Universität Mannheim
    Fakultät für Wirtschafts­informatik und Wirtschafts­mathematik
    B 6, 26
    Gebäudeteil B – Raum B1.04
    68159 Mannheim
    Sprechstunde:
    Sie erreichen mich während meiner telefonischen Sprechstunde montags von 11:00 – 12:00 Uhr oder per E-Mail. Auch Online-Sprechstundentermine sind nach Vereinbarung möglich.
    Sanja Juric, M.A.

    Sanja Juric, M.A.

    Studien­gangs­management Lehr­amt Gymnasien, B.Sc. und M.Sc. Wirtschafts­mathematik, M.Sc. Mathematik
    Universität Mannheim
    Fakultät für Wirtschafts­informatik und Wirtschafts­mathematik
    B 6, 26
    Gebäudeteil B – Raum B 1.04
    68159 Mannheim
    Tel.: +49 621 181-2640
    Fax: + 49 621 181-2423
    E-Mail: juricmail-uni-mannheim.de
    Sprechstunde:
    nach Vereinbarung
    Kontakt zur Fakultät WIM

    Kontakt zur Fakultät WIM

    Universität Mannheim
    Fakultät für Wirtschafts­informatik und Wirtschafts­mathematik
    B 6,26
    68159 Mannheim
    Sprechstunde:
    nach Vereinbarung via E-Mail
  • Master's thesis

    Finding a supervisor and a topic for your master’s thesis requires early planning and initiative on your part. It is primarily your responsibility as a student to contact a chair that fits your study profile. This means that you need to contact several chairs or professors on your own initiative in order to find someone who will agree to supervise your master's thesis. It is the norm that students contact the chairs personally, and something we expect from students at our school. 

    Who can supervise my master's thesis?

    TBA