Overview
The Technical University of Munich in Germany provides a Master of Science (M.Sc.) in Informatics through its Department of Informatics. This master’s program is designed to both broaden and deepen your existing knowledge in the field. Additionally, it presents the opportunity for individual specialization in one or more discipline-specific areas within Informatic
Course Details
| University | Technical University of Munich |
| Degree | M.Sc. in Informatics |
| Subjects | Computer Science, Informatics |
| Language | English & German |
| Application Deadlines | Winter semester: 31 May; Summer semester: 30 Nov |
| Duration | 2 Years (starting: Both semesters) |
| ECTS Credits | 120 |
| Tuition Fees | Free (per semester) |
| Study Mode | On campus |
| Qualification Requirements | Bachelor’s degree (or equivalent) in informatics, computer science, or a similar computer-related field |
| Language Proficiency | English: IELTS (min 6.5), TOEFL iBT (min 88), Cambridge (C1 Advanced/C2 Proficiency); German: DSH (min DSH 2), Deutsche Sprachdiplom (DSD II B2/C1), telc Deutsch (min C1), TestDaF (min TDN 4), Goethe-Zertifikat (min B2) |
| Application Procedure | Direct application at the University (incl. VPD from uni-assist), No admission test/interview |
| Application Fee | The initial application fee is €75, and for every subsequent application, the fee is €30 each. |
Admission Documents
- Admission Application Form (to be uploaded and signed).
- Academic Transcript.
- Evidence of Proficiency in English.
- Updated and Detailed CV.
- Statement of Purpose.
- Written Essay.
- Analysis of Academic Curriculum.
- Course Syllabus (such as module details).
- Copy of Passport.
- Preliminary Documentation (VPD) for non-EU/EEA Educational Qualifications (applicable if undergraduate degree obtained outside the EU/EEA).
Career opportunities
- Software Development and Engineering: Roles in designing, developing, and maintaining software applications and systems in various industries, from tech startups to large multinational companies.
- Data Science and Analytics: Opportunities in the field of data analysis, machine learning, and big data technologies, where skills in algorithm design, statistics, and data processing are crucial.
- Research and Development: Potential for careers in R&D departments in technology companies or academic institutions, contributing to innovations in fields like artificial intelligence, cybersecurity, and network systems.
- IT Consulting: Providing expertise to businesses in developing IT strategies, implementing new technologies, and optimizing existing systems and processes.
- Product Management in Tech: Managing the lifecycle of technology products, from ideation and development to market launch and user feedback analysis.
