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Mannheim Master of Applied Data Science & Measurement University of Mannheim

Degree

Master of Science

Standard period of study (amount)

30 months

Location

Overview and admission

Study Type

graduate

Admission semester

Admission only in the summer quarter

Area of study

Statistics

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 (Link)

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

  • 02.09.2024 - 06.12.2024
  • 10.02.2025 - 30.05.2025

Tuition fee

Fees

22,500.00 EUR / total

Fees (Link)

There are partial scholarships.

Languages of instruction

Main language

English

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