Data Engineering and Analytics (MSc)
A comprehensive Master's programme focused on the management and analysis of large-scale data sets.
Best for:Best for students with a strong background in Computer Science or Informatics seeking expertise in big data systems and analytics.
Overview
The Master of Science in Data Engineering and Analytics at the Technical University of Munich is a two-year programme designed to address the challenges of big data in science and industry. Students explore the intersection of mathematics, informatics, and electrical engineering to develop skills in data analysis, system construction, and scalable processing. The curriculum is flexible, allowing students to tailor their studies toward specific interests such as machine learning, business analytics, or high-performance computing. Graduates are prepared for advanced professional roles in industry or for further academic research at the doctoral level.
What you'll do
- Attend lectures, seminars, and practical courses covering data management and analysis.
- Engage in research activities related to big data technologies and methodologies.
- Study the social and ethical impacts of managing large-scale data sets.
- Complete a Master's thesis during the fourth semester.
- Participate in elective courses to specialize in sub-areas of interest.
Requirements
Degree required: Bachelor of Science in Informatics or Computer Science equivalent to the BSc Informatics at TUM
Degree offered: Master of Science
Language: English; C1 level (e.g., TOEFL iBT 88, IELTS 6.5, PTE Academic 65)
Instruction: English
- Strong academic background in Informatics or Computer Science
- Proficiency in English at C1 level
- Ability to provide a scientific essay and statement of reasons for programme choice
- Applicants with degrees from Bangladesh, China, India, Iran, and Pakistan must provide GRE or GATE test scores
- Applicants with degrees obtained outside Germany must provide preliminary documentation from uni-assist
Funding & terms
Programme and admissions
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How to apply
Deadline: 2026-05-31
Applications must be submitted through the official TUM online application portal. Applicants should prepare all required academic documentation and language certificates in advance of the semester deadlines.
- Statement of reasons
- Scientific essay
- BSc transcripts
- Language certificate
- Preliminary documentation from uni-assist (if applicable)
Contact
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