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Master of Science in Data Science logo
University of Munich logo

Master of Science in Data Science

University of Munich Rank #100
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Degree Type Master
Delivery Method On-campus
Duration 2 years
Application Deadline March
Country Germany
Language English

Program Overview

The Master of Science in Data Science at LMU Munich is a research-intensive graduate program focused on advanced statistical, mathematical, and computational methods for extracting knowledge from large and complex datasets. The program integrates theoretical foundations with applied techniques in machine learning, data mining, and predictive analytics, supported by strong interdisciplinary collaboration across mathematics, computer science, and statistics departments. Students engage in hands-on projects, modern programming environments, and data-driven problem solving relevant to both industry and academic research.

Key Program Features

  1. German Excellence University status (since 2006)
  2. Ranked among the top universities worldwide
  3. Strong mathematical and computational foundation
  4. Industry-linked projects and applied labs
  5. Research-oriented curriculum
  6. International academic environment
  7. Access to LMU’s advanced research infrastructure
  8. Emphasis on data ethics, security, and responsible AI

Career Opportunities

Graduates of the program are well prepared for careers including:

  1. Data Scientist
  2. Machine Learning Engineer
  3. AI / Research Engineer
  4. Statistical Analyst
  5. Business Intelligence Specialist
  6. Quantitative Analyst
  7. PhD and academic research pathways

Alumni typically work in:

  1. Technology and AI companies
  2. Finance and consulting firms
  3. Healthcare and biotechnology
  4. Automotive and industrial analytics
  5. Research institutes and universities


Program Curriculum

The program emphasizes both theory and real-world application, structured around the following areas:

Foundations

  1. Predictive modeling
  2. Multivariate data analysis
  3. Advanced programming
  4. Statistical and computational methods

Core Topics

  1. Data mining
  2. Machine learning
  3. Data security
  4. Data ethics

Practical Experience

  1. Industry-partnered projects
  2. Applied tutorials and labs
  3. Summer schools and special workshops (e.g., DataFest)
  4. Interdisciplinary research and teamwork

Admission Requirements

Academic Background

  1. Bachelor’s degree (minimum 180 ECTS) in:
  2. Statistics
  3. Computer Science / Informatics
  4. Mathematics
  5. or a closely related field

Subject Prerequisites

Applicants must demonstrate prior academic training in:

  1. Statistics / Modeling (minimum 30 ECTS)
  2. (e.g., probability theory, statistics, machine learning, modeling methods)
  3. Computer Science (minimum 30 ECTS)
  4. (e.g., algorithms, programming, databases, software systems)

Academic Performance

  1. Required overall grade equivalent to better than 1.5 in the German grading system.

Language Proficiency

  1. English level B2 or higher
  2. (e.g., IELTS, TOEFL, or equivalent)

Application Documents

  1. Academic transcripts
  2. Degree certificates
  3. CV
  4. Motivational essay (max. 1,000 words) on perspectives and interests in Data Science
  5. Proof of language proficiency

Career Orientation

Graduates are prepared for careers such as:

  1. Data Scientist
  2. Machine Learning Engineer
  3. Statistical Analyst
  4. AI Researcher
  5. Business/Data Intelligence Specialist
  6. PhD and academic research pathways

Tuition & Financial Information

Tuition Fee

Administrative fee of approximately €138 per semester

LMU Munich is a public university, and tuition fees are very low compared to private institutions.

Typical costs include:

  1. Tuition fee: €0 per semester
  2. Semester contribution: approx. €130 – €160 per semester (administration + student services)
  3. Estimated living costs: €900 – €1,300 per month (housing, food, insurance, transport, etc.)

(Exact fees may vary slightly by semester.)

Financial Aid & Scholarships

International and domestic students may access several funding options, including:

Scholarships

  1. DAAD Scholarships (Germany’s main international funding body)
  2. Deutschlandstipendium (€300/month merit-based scholarship)
  3. LMU excellence and faculty-based scholarships
  4. External foundations (Heinrich Böll, Friedrich Ebert, Konrad Adenauer, etc.)


About University of Munich

University of Munich logo

University of Munich

Munich, Germany

University of Munich is a leading German university known for academic excellence and research innovation.

University Profile

Application Information

  • Application Deadline March
  • Start Date October
  • Language English
  • Duration 2 years
  • Credits 120 ECTS
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