Data Engineering and Analytics
The Master of Science in Data Engineering and Analytics at Technical University of Munich (TUM) is an advanced international graduate program designed for students who want to combine data science, engineering, and analytics with real-world problem solving. Over four semesters, students gain comprehensive knowledge in data management, machine learning, big data technologies, and cloud computing, preparing them for high-demand roles in technology and business sectors. The program is full-time, taught in English, and admits students in both winter and summer semesters.
Located in Munich, a leading European technology and innovation hub, this master’s program emphasizes practical application, interdisciplinary learning, and industry collaboration. Students work on hands-on projects, gain experience with modern data engineering tools, and benefit from TUM’s extensive network with companies and research institutions. The program equips graduates to take on roles as data engineers, analytics consultants, machine learning specialists, and business intelligence experts, reflecting Germany’s commitment to combining academic excellence with professional relevance.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Munich
- Study Type: Graduate (full-time, international)
- Admission semester: Winter and Summer semester
- Area of study: Data Engineering, Analytics, Big Data, Machine Learning
- Admission modus: Without admission restriction (eligibility requirements apply)
- Main language: English
Program Structure
Semester 1 – Foundations of Data Engineering & Analytics
- Introduction to Data Engineering Concepts
- Programming for Data Science (Python, SQL, etc.)
- Database Systems and Data Management
- Statistics and Probability for Data Analysis
Semester 2 – Advanced Analytics & Big Data Technologies
- Machine Learning & Predictive Analytics
- Big Data Platforms & Cloud Computing
- Data Visualization & Communication
- Collaborative Project I (real-world data project)
Semester 3 – Specialization & Applied Practice
- Advanced Machine Learning & AI Techniques
- Data Pipeline Design & Optimization
- Project Management & Team Leadership in Data Projects
- Collaborative Project II (industry-partnered project)
Semester 4 – Master’s Thesis & Final Project
- Independent Research Thesis or Applied Data Project
- Implementation of Data Engineering Solutions
- Presentation & Portfolio Development
Career Opportunities
Graduates of the Data Engineering and Analytics program are prepared for a wide range of roles in technology-driven organizations and data-focused industries. Career paths include data engineer, analytics consultant, machine learning specialist, business intelligence analyst, and AI project manager. With Munich’s vibrant tech ecosystem and strong links to industry, students gain excellent opportunities to collaborate with companies, research institutions, and international networks.
Why Choose This Program
Choosing the Master of Science in Data Engineering and Analytics means joining a program that combines advanced technical skills with practical industry application. Offered by the Technical University of Munich, it provides students with access to leading faculty, cutting-edge facilities, and strong connections to industry partners.
The program’s unique strength lies in its interdisciplinary, practice-oriented curriculum, which integrates data engineering, analytics, machine learning, and big data technologies. Students develop the skills to design and implement robust data solutions, solve real-world problems, and advance their careers in a rapidly growing global data economy.
Contact Information
Technical University of Munich – Student Advisory Service
Arcisstraße 21
80333 Munich, Germany
Tel: +49 89 289 01
Email: info@tum.de
Data Engineering and Analytics Programme Contact
Technical University of Munich
Department of Informatics / Data Science
Arcisstraße 21
80333 Munich, Germany
Tel: +49 89 289 01 500
Email: dataengineering@tum.de
International Office – TUM
Arcisstraße 21
80333 Munich, Germany
Tel: +49 89 289 01 0
Email: international@tum.de
