Data Science, M.Sc.
Data Science is the science of extracting knowledge and information from data and requires competencies in both statistical and computer-based data analysis. The elite program Data Science is an interdisciplinary program and is carried out jointly by the Department of Statistics and the Institute for Informatics at LMU Munich. The program is part of and is supported by the Elite Network of Bavaria.
The curriculum of the elite master program Data Science is a modularised study program. Students learn statistical and computational methods for collecting, managing, and analysing large and complex data sets and how to extract knowledge and information from these data sets. The program also comprises courses on data security, data confidentiality, and data ethics. In the practical modules students will tackle real-world problems in cooperation with industrial partners. Other highlights of the program are the summer schools and the focused tutorials.
Programme facts
| Degree | Master of Science (M.Sc.) |
|---|---|
| Duration | 4 semesters, 120 ECTS |
| Language of instruction | English |
| Required English | B2 |
| Study mode | Full-Time |
| Start | Winter semester |
| Application | Directly to the university, winter semester until 01.06 |
| Admission | Admission restriction (NC): a competition of school grades |
| Tuition fee | Set by the university for international students — the amount is on the programme's official page |
| Semester contribution | €152.30 per semester |
What the tuition fee consists of
Will I get in
The programme has an admission restriction: the average grade of your certificate, converted to the German scale, decides. The cut-off changes every year — last year's value shows the order of magnitude, not a promise.
How the selection works and how strong the competition is — we go through it against your certificate when we select programmes for you.
Programme selection →What you study
The curriculum of the elite master program Data Science is a modularised study program. Students learn statistical and computational methods for collecting, managing, and analysing large and complex data sets and how to extract knowledge and information from these data sets. The program also comprises courses on data security, data confidentiality, and data ethics. Other highlights are the practical modules in which students will tackle real-world problems in cooperation with industrial partners, as well as summer schools and tutorials, and the DataFest. With this training graduates of the master program will be innovative and responsible academics with excellent career opportunities both in industry and economy as well as in science and research.
The full curriculum and the programme's parameters are part of programme selection: we compare them with your profile.
Pick programmesCareer
Upon graduation our students are well prepared for a career as a data scientist in the private or public sector in fields such as applied economics, political science, sociology, education, medicine, public policy, and media research. Students may also pursue a doctoral study in a variety of academic disciplines that require quantitative analysis.
Cost of study
| Semester contribution | €152.30 |
|---|
Requirements and application
| Previous education | Applicants need to provide evidence of knowledge in Data-based modelling: this includes, for example, statistics, data mining, probability theory, machine learning (at least 30 ECTS or equivalent - Average Grade 2); and Computational Methods: this includes, for example, informatics, database-oriented methods, computational statistics, optimisation procedures (at least 30 ECTS or equivalent - Average Grade 3). |
|---|---|
| Language | English B2 — confirmed by a certificate when you apply |
| Application | Directly to the university, winter semester until 01.06 |
The procedure and the set of documents depend on your certificate. We check the university's requirements against your documents and give you a list: what to submit, how to certify and translate it, where and when to apply.
Check the requirementsHow to get into this programme
- 1Check your certificate and its recognitionDirect admission, a year at a university at home, or Studienkolleg first — this decides the whole plan.
- 2Documents and translationsCertified translations of the certificate and transcript, an APS if required. 3–4 weeks.
- 3Application directly to the university until 01.06Send the documents well before the deadline — an incomplete application cannot be completed after it.
- 4Admission, visa, movingPlan 2–3 months for the visa and the blocked account in parallel.
How to apply
You can submit the application yourself or with our help — the university decides on admission in both cases.
Applications go through the university's portal or uni-assist. Typical mistakes:
- ×incorrectly made certified copies and translations
- ×a wrong set of documents
- ×the application submitted the wrong way
- ×errors or gaps in the application form
- ×the application submitted at the wrong time — too early or too late
An incomplete or incorrectly prepared application is excluded from the selection — it can no longer be corrected after the deadline.
StudyInFocus does not represent the university and does not influence the admission decision. We do not sell study places and do not guarantee admission — this is a service for preparing and submitting documents on the applicant's side.
If your level is not enough yet
The two most common stoppers are a language level below the requirement and a certificate without direct admission. Both can be solved, but they take months — plan them now, not after a rejection.
Video about the programme
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Questions about this programme
How much does the programme cost?
What language level do I need?
When do I need to apply?
Don't postpone the application
The deadline is 01.06.2027 (229 days left). Language, translations and the document check take months, not weeks. In 30 minutes we will build a plan backwards from the deadline and tell you honestly whether you can make it.