English
Free (85 EUR/sem)
Winter and Summer
Course description will be available soon. Please contact the university for more details.
Fields of study
How to apply
What you need to apply for Statistics and Data Science at Ludwig Maximilian University of Munich (LMU Munich)
not required
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The admission requirement for this Master's program is proof of a professional university degree with at least 180 ECTS credits or an equivalent degree from Germany or abroad in the field of statistics or data science or a degree program with statistics or data science as a major or minor subject as well as successful participation in an aptitude test. The application for the aptitude test must be submitted to the Department of Statistics by May 15 for the following winter semester and by November 15 for the following summer semester (cut-off deadline).
The admission requirement for this Master's program is proof of a professional university degree with at least 180 ECTS credits or an equivalent degree from Germany or abroad in the field of statistics or data science or a degree program with statistics or data science as a major or minor subject as well as successful participation in an aptitude test. The application for the aptitude test must be submitted to the Department of Statistics by May 15 for the following winter semester and by November 15 for the following summer semester (cut-off deadline).
Applicants who neither have German citizenship nor are considered as "Bildungsinländer" must additionally submit an application for admission to studies to the LMU International Office, deadline for which is July 15th, 2024. Acceptance from the international office does not imply acceptance to the program.
Selection Interview
What to prepare for your application to Statistics and Data Science
Applicants who neither have German citizenship nor are considered as "Bildungsinländer" must additionally submit an application for admission to studies to the LMU International Office. Acceptance from the international office does not imply acceptance to the program
Bachelor's Degree Certificate: Proof of a Bachelor's degree (or equivalent) in Statistics, Data Science, or a related field.
Transcript of Records: Detailed transcript showing your academic performance.
Proof of English Proficiency: Certification of English language proficiency (e.g., TOEFL, IELTS) at a B2 level or higher.
Curriculum Vitae (CV): An up-to-date CV detailing your academic and professional background.
Letter of Motivation: A statement explaining your interest in the program and your career goals.
Letters of Recommendation: Typically, two letters from academic or professional references.
Application Form: Completed application form, which can be found on the LMU Munich application page.
https://www.lmu.de/en/study/degree-students/applications-...
https://cms-cdn.lmu.de/media/lmu/downloads/studium/intern...
https://cms-cdn.lmu.de/media/lmu/downloads/studium/intern...
This programme applies directly or via uni-assist. Submit your documents through the correct channel before the deadline.
Open application portalApostille and notarization
Requirements vary by nationality and issuing country. Many German universities require certified translations and, in some cases, document apostilles. Verify current requirements directly with the admissions office, or use our document services for guided preparation.
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View document bundleStep-by-step guide to applying for Statistics and Data Science at Ludwig Maximilian University of Munich (LMU Munich)
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Required for Application
Application fee
0 EUR
Estimated time
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Complexity
MediumAddress
Ludwig-Maximilians-Universität München
Ref. III.3 Internationale Angelegenheiten - Zulassung
Geschwister-Scholl-Platz 1
80539 München
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Tuition
FREE
No tuition fees
Semester contribution
85 EUR
per semester
Application fee
0 EUR
one-time
Estimated year-1 total cost
12,074 – 12,074 EUR
Includes tuition, semester contribution, and estimated living costs. Range accounts for lifestyle differences.
This programme has restricted admission (NC). Admission is competitive and based on academic performance.
Plan your total budget for Germany
Use the MS in Germany cost calculator to estimate living expenses, insurance, and your full year-one spend.
Open cost calculatorCommunity-reported data from MS in Germany students (2018-2025)
Acceptance rate
0%
0 accepted out of 4 total applications
Grade distributionGerman scale (1.0 = best, 4.0 = passing)
Based on 4 applications from MS in Germany students 2018-2025.
Based on 4 applications from MS in Germany students 2018-2025.
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