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Mannheim Master of Applied Data Science & Measurement

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Quick Overview

  • University University of Mannheim
  • Degree Master
  • Degree Master of Science, M.Sc.
  • Study Type Second cycle
  • Mode of admission selection procedure / qualifying examination
  • Standard period of study (amount) 30 months
  • Study Mode (elucidation) distance studies; international course; part time; part time degree programmes for professionals
  • Location (main / branches campus) Mannheim
  • Admission semester summer quarter
  • Subject

    Das Data Science gehört zum Studienbereiche Computer Science der Fächergruppe Mathematics, Natural Sciences.

    Weitere Informationen zum Studienbereich Computer Science.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

     Data Science

    Das Statistics gehört zum Studienbereiche Mathematics der Fächergruppe Mathematics, Natural Sciences.

    Weitere Informationen zum Studienbereich Mathematics.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

     Statistics

  • Areas of Concentration Data Analysis, Data Curation/Storage, Data Generating Process, Data Output/Access, Research Questions
  • Field of study
    • Target group The Mannheim Master of Applied Data Science & Measurement enables specialists to acquire additional qualifications in the field of data collection and data analysis. Possible job profiles after graduation include Survey Methodologist, (Quantitative) User Experience Researcher (UXR), Research Scientist, (Survey) Sampling Statistician, Decision Scientist.
    • kind of Master course according to the KMK providing further education
    • Main instruction language English
    • Digital teaching and learning units E-Learning, Wöchentliche Online-Kurseinheiten mit Dozenten und Kursteilnehmern
    • Annotation of the Higher Education Institution The Mannheim Master of Applied Data Science & Measurement is a part-time online Master's degree. Students can take this degree anywhere in the world. The curriculum is multidisciplinary, the courses are taught by international lecturers from leading universities, statistical offices and companies worldwide.

      Students can choose between three tracks and focus on the content: Survey Methodology Track, Survey Statistics Track, Data Insights Track.

      Information events for prospective students take place regularly as online info sessions. The current dates can be found on the course website.
    • Course Website
  • Access and Admission Requirements
    • Mode of admission selection procedure / qualifying examination
    • Admission semester summer quarter
    • To be admitted to the Mannheim Master of Applied Data Science & Measurement, candidates need a first academic degree (at least Bachelor), proven knowledge in mathematical or applied statistics and work experience in data generation, statistical data collection or data analysis. Candidates also need a letter of support from their employer for this career-integrated degree course. In addition, fluent English is an admission requirement (TOEFL of at least 95), because the course language is English. After the application documents have been submitted on time, an online selection interview will take place.
      more information regarding admission requirements
    • Completion of first university degree Bachelor/Bakkalaureus, Magister (Masterstudiengang), Diplom, Diplom (FH), Magister, Staatsexamen, Master
    • Required language skills
    • Required minimum language skills that must be proven by passing one or more of the following language tests:
      • IELTS (English): 7.0
      • TOEFL IBT (English): 95
      • Other English language certificates: Certificate of Advanced English: mind. Level C1.
    • Required practical experience In addition to completing your first university degree, you need the following practical experience to be admitted onto this degree programme:
      • 1 year Work experience in the field of Data Generation, Statistical Data Collection or Data Analysis
    • Further admission requirements Consultation, Application letter / personal statement , CV, Mindestens 12 ECTS Credits in mathematischer oder angewandter Statistik.
  • University-wide Dates and Deadlines
    • Sommersemester 2026
      • Lecture period
      • 09.02.2026 — 29.05.2026
        Frühjahrssemester
    • Wintersemester 2026/2027
      • Lecture period
      • 07.09.2026 — 11.12.2026
  • Tuition Fee
  • Contact / contact person

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