TECHNICAL UNIVERSITY OF MUNICH · GERMANY
Data Engineering and Analytics Master of Science (M.Sc.)
Master's · Taught in en
At a glance
24 mo
Duration
—
IELTS
€12k
Tuition / yr
en
Language
Master's
Level
- 120 ECTSCredits
- 4 SemestersStandard Duration
- Full TimeStudy Mode
- GarchingMain Campus Location
The Master of Science in Data Engineering and Analytics focuses on managing, analyzing, and processing very large datasets using advanced computer science techniques. This program addresses the growing importance of 'Big Data' across various scientific and industrial fields, driven by the decreasing cost of data storage, the proliferation of smart devices, and advancements in computing power. Graduates will be equipped to design and implement industry-grade Big Data solutions, preparing them for careers in data science, data engineering, and research.
Curriculum
The program is structured around three core areas: Data Analysis, Data Engineering, and Analytics. Students will gain foundational knowledge in understanding and modeling data relationships, followed by learning to build efficient and scalable data processing systems. Advanced modules cover distributed systems, machine learning, business analytics, and computational statistics.
- Year 1
- Data Analysis Fundamentals
- Data Engineering Fundamentals
- Distributed Systems
- Machine Learning
- Year 2
- Advanced Data Engineering
- Advanced Data Analytics
- Computational Statistics
- Master's Thesis
Careers
Graduates are prepared for diverse career paths in research and industry. Typical roles include data analysts, responsible for extracting insights from large datasets, and data engineers, who manage and optimize large databases and distributed systems.
- Data Analyst
- Data Engineer
- Researcher
- IT Security Specialist
- Systems Designer
Frequently asked questions
- What are the tuition fees for international students?
- International students from third countries are required to pay 6,000 Euros per semester in tuition fees. A semester fee of 97.00 Euros is also required.
- What is the standard duration of the Master of Science in Data Engineering and Analytics program?
- The standard duration of the program is 4 semesters, which is equivalent to 120 ECTS credits.
- What are the entry requirements for this Master's program?
- Applicants need a recognized undergraduate degree and must successfully pass an aptitude assessment. Proof of sufficient English language proficiency is also required.
- How do I apply for the Data Engineering and Analytics program?
- Applications are submitted through the TUMonline portal. You will need to upload all required documents, such as degree certificates, transcripts, and proof of English proficiency, within the specified application periods.
- What career paths can I pursue after graduating from this program?
- Graduates are prepared for roles such as Data Analyst, Data Engineer, and Researcher. The program equips students to design and implement Big Data solutions for various industries.
- Are there any specific deadlines for application or enrollment?
- The application period for the Winter Semester is from February 1 to May 31, with an enrollment deadline of September 15. For the Summer Semester, applications are accepted from October 1 to November 30, with an enrollment deadline of March 15.
Entry requirements
Bachelor's DegreeRecognized undergraduate degree with successful completion of the aptitude assessment.
English Language ProficiencySufficient (specific score not mentioned, proof required before application deadline)
Applicants with degrees from outside Germany may need to have their documents reviewed in advance through uni-assist (Preliminary Documentation).
Fees
Tuition (international)6,000 Euros per semester for international students from third countries.
Tuition (home)No tuition fees mentioned for domestic students, only a semester fee.
LivingEstimated at 97.00 € per semester for the student union fee, living costs are additional.
A semester fee (97.00 € in Garching) is required in addition to tuition fees for international students. Scholarships and waivers may be available.
How to apply
1. Apply via TUMonlineSubmit your application through the online portal within the specified application periods. Upload all required documents.
2. Document Review (if applicable)If your prior degree is from outside Germany, you may need to get your documents pre-assessed by uni-assist.
3. Submit Application DocumentsUpload all necessary documents including degree certificates, transcripts, proof of English proficiency, motivation letter, and CV.
4. EnrollmentIf admitted, complete the enrollment process by paying the semester fee by the specified deadlines.
Frequently asked questions
What are the tuition fees for international students?
+
International students from third countries are required to pay 6,000 Euros per semester in tuition fees. A semester fee of 97.00 Euros is also required.
What is the standard duration of the Master of Science in Data Engineering and Analytics program?
+
The standard duration of the program is 4 semesters, which is equivalent to 120 ECTS credits.
What are the entry requirements for this Master's program?
+
Applicants need a recognized undergraduate degree and must successfully pass an aptitude assessment. Proof of sufficient English language proficiency is also required.
How do I apply for the Data Engineering and Analytics program?
+
Applications are submitted through the TUMonline portal. You will need to upload all required documents, such as degree certificates, transcripts, and proof of English proficiency, within the specified application periods.
What career paths can I pursue after graduating from this program?
+
Graduates are prepared for roles such as Data Analyst, Data Engineer, and Researcher. The program equips students to design and implement Big Data solutions for various industries.
Are there any specific deadlines for application or enrollment?
+
The application period for the Winter Semester is from February 1 to May 31, with an enrollment deadline of September 15. For the Summer Semester, applications are accepted from October 1 to November 30, with an enrollment deadline of March 15.