Mannheim Master of Applied Data Science & Measurement University of Mannheim
- Degree
- Master of Science
- Standard period of study (amount)
- 30 months
- Location
- Mannheim
Overview and admission
Study Type
graduate
Admission semester
Admission only in the summer quarter
Area of study
- Statistics
- Data Science
Focus
Research Questions, Data Generating Process, Data Curation/Storage, Data Analysis, Data Output/Access
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.
Annotation
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.
Admission modus
Selection procedure / qualifying examination
Admission requirements
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.
Lecture period
- Winter semester 2026/2027: 07.09.2026 - 11.12.2026 (Universitywide lecture period)
- Summer semester 2027: 15.02.2027 - 04.06.2027 (Universitywide lecture period)
Tuition fees
There are partial scholarships.
Languages of instruction
Main language
English