Program Overview
The Master of Science in Data Science at the University of Munich (LMU) is a research-oriented elite program conducted in English through the Elite Network of Bavaria.
This is an interdisciplinary, modular program jointly offered by the Department of Statistics and the Institute for Informatics. It is designed to teach students statistical and computational methods for extracting knowledge from large, complex datasets. The curriculum spans 4 semesters (120 ECTS) and includes mandatory modules in data ethics, data security, and predictive modeling.
Key Program Features
- Elite Network of Bavaria: Part of a select group of programs receiving specialized funding and offering enhanced networking opportunities.
- Practical Modules: Students work on real-world problems in direct cooperation with industrial partners.
- Special Events: The program includes unique highlights like the annual DataFest, summer schools, and focused tutorials with international scientists.
- Mentorship: Each student is assigned an individual mentor for academic and professional guidance.
Career Opportunities
Graduates are prepared for high-level roles in both private and public sectors.
- Typical Roles: Data Scientist, Machine Learning Engineer, Data Analyst, or Research Scientist.
- Sectors: Finance, healthcare, tech, media research, and public policy.
- Salary Expectation: Starting salaries for data science graduates in Germany typically range from €55,000 to €70,000.
- Academic Path: The program serves as a direct pathway to PhD research.
Program Curriculum
- Curriculum: The program focuses on statistical and computational methods for large datasets. Core modules include:
- Foundations: Predictive modeling, multivariate data analysis, and advanced programming.
- Core Topics: Data mining, machine learning, data security, and data ethics.
- Practical Experience: Includes industry-partnered projects, summer schools, and tutorials like DataFest.
Admission Requirements
- Academic Background: Bachelor’s degree (180 ECTS) in Statistics, Informatics, Mathematics, or a related field.
- Prerequisites: Evidence of specific knowledge is required:
- Statistics/Modeling: Minimum 30 ECTS (e.g., probability theory, machine learning).
- Computer Science: Minimum 30 ECTS (e.g., algorithms, database systems, programming).
- Grade Requirements: An overall average grade better than 1.5 in the German grading system.
- Language Proficiency: English proficiency at level B2 or higher (IELTS/TOEFL).
- Application Document: A required essay of max. 1,000 words on Data Science perspectives.
Tuition & Financial Information
Tuition Fee
Administrative fee of approximately €138 per semester
Fee Details: LMU does not charge tuition fees for this program. Students must pay a mandatory semester fee of approximately €150–€300, which includes basic public transportation.
Financial Aid & Scholarships
Financial Aid: Students can apply for external funding such as DAAD scholarships or merit-based awards like the SBW Berlin Scholarship.
About University of Munich
University of Munich
Munich, Germany
University of Munich is a leading German university known for academic excellence and research innovation.
University ProfileApplication Information
- Application Deadline March
- Start Date October
- Language English
- Duration 2 years
- Credits 120 ECTS
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