MSc Data Science

Full Time

MSc Data Science

Ludwig Maximilians University
  • $ See Details
    1st year fees
  • 120
  • Campus
  • Masters
  • 2 years


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.

Admission Requirements

  • Bachelor of Science (or equivalent) in Statistics or Informatics or related disciplines (at least 180 ECTS or equivalent).
  • Excellent knowledge in Informatics and Statistics. Applicants need to provide evidence of knowledge in the following fields:
    • Statistical Science and Data-Based Modelling: This includes, in particular, statistics and topics such as data mining, probability theory, and machine learning (at least 30 ECTS or equivalent). (Average Grade 2)
    • Computer Science and Computational Methods: This includes, in particular, data structures and algorithms, database systems, programming principles and practice, software engineering (at least 30 ECTS or equivalent). (Average Grade 3)
  • Overall Average Grade must be better than 1.5. The overall average grade is composed of (1) Average Grade 1: the average grade from the best performance (equivalent to 150 ECTS), (2) Average Grade 2, and (3) Average Grade 3.
  • Proficiency in English: at least B2 CEFR (or equivalent); or English university entrance qualification; or first degree in English.

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