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74.UniversityofAugsburg
University note
University of Augsburg – M.Sc. Data Science
Program Overview
| Field | Details |
|---|
| University | University of Augsburg |
| Faculty | Computer Science & Mathematics |
| Program | Data Science |
| Degree | Master of Science (M.Sc.) |
| Study Mode | Full-time |
| Language of Instruction | English (some electives in German; degree can be completed entirely in English) |
| Duration | 4 Semesters |
| Start Semester | Winter Semester & Summer Semester |
| Admission Type | Open Admission (Aptitude Assessment Required) |
Program Overview
The Master's programme in Data Science provides an interdisciplinary education combining Computer Science and Mathematics with a strong theoretical foundation.
The curriculum emphasizes mathematical understanding of modern data science methods so that graduates can critically evaluate their capabilities and limitations while solving real-world problems.
The programme maintains close collaboration with industry, research institutes, and interdisciplinary departments.
Core Study Areas
Students study topics including:
- Machine Learning
- Artificial Intelligence
- Deep Learning
- Statistics
- Matrix Algorithms
- Mathematical Foundations of Machine Learning
- Data Structures
- Algorithms
- Big Data Optimization
- Data Engineering
- Big Data Infrastructure
- Data Wrangling
Application Areas
Students can specialize through interdisciplinary collaborations in areas including:
- Medicine
- Economics
- Engineering
- Geography
- Materials Science
- Physics
Career Opportunities
Graduates are prepared for careers in:
- Data Scientist
- Big Data Engineer
- AI Engineer
- Machine Learning Engineer
- Data Analyst
- Digital Transformation Consultant
- Process Optimization Engineer
- Automation Specialist
- Systems Analyst
- IT Consultant
- Healthcare Analytics
- Pharmaceutical Industry
- Logistics
- Energy Sector
- Online Retail
Program Highlights
- Fully completable in English
- Some elective modules available in German
- Strong mathematical foundation
- Close collaboration with industry
- Research-oriented education
- Interdisciplinary projects
- Connected to the Center for Advanced Analytics and Predictive Sciences
- Suitable for both research and industry careers
Admission Requirements
Academic Qualification
Applicants must hold a Bachelor's degree or an equivalent qualification.
Applicants must submit:
- Bachelor's Degree Certificate (or equivalent)
- Transcript of Records
- Curriculum Vitae (CV)
If the Bachelor's degree has not yet been completed:
- Current Transcript of Records may be submitted.
Documents not issued in German or English must include certified translations.
Required Academic Background
Applicants must demonstrate prior coursework in:
| Subject Area | Minimum Credits |
|---|
| Multidimensional Analysis | 5 CP |
| Linear Algebra / Abstract Algebra | 5 CP |
| High-level Programming Language | 4 CP |
| Practical Programming | 4 CP |
| Algorithms or Numerical Methods | 5 CP |
| Discrete Structures / Databases / Data Engineering | 5 CP |
| Data Science or Machine Learning | 4 CP |
Module descriptions (learning objectives and contents) must be submitted for these subjects.
English Language Requirement
Minimum requirement:
Accepted proof includes:
- IELTS
- TOEFL
- Equivalent English language certificate
- English-medium Bachelor's degree
- English language qualification obtained during secondary education (where accepted)
APS Requirement
Applicants from:
must submit an APS Certificate.
GRE Requirement
Application Deadlines
Winter Semester
- Application Deadline: 1 September
Recommended for International Applicants Requiring a Visa
This allows sufficient time for visa processing.
Summer Semester
- Application Deadline: 1 March
Recommended for International Applicants Requiring a Visa
Application Documents
Applicants with an international Bachelor's degree must upload:
- Bachelor's Certificate (or current Transcript if degree is pending)
- Transcript of Records
- Curriculum Vitae (CV)
- English Language Certificate (minimum B2)
- APS Certificate (if applicable)
- Module Descriptions
- Certified translations (if documents are not in German or English)
All documents are submitted through the online application portal.
International Applicants
The university strongly recommends that applicants requiring a student visa apply significantly before the official deadline.
Suggested application dates:
| Intake | Recommended Date |
|---|
| Winter Semester | 1 May |
| Summer Semester | 1 November |
Early admission increases the likelihood of completing visa procedures before the semester begins.
Important Notes
- ✅ Winter & Summer intake available
- ✅ Program can be completed entirely in English
- ✅ Open admission with aptitude assessment
- ✅ APS required for applicants from China, India and Vietnam
- ❌ GRE not required
- ✅ Strong mathematical foundation
- ✅ Excellent preparation for AI, Machine Learning and Big Data careers
Contact
Student Advisory – Computer Science
Prof. Dr. Peter Michael Fischer
- Phone: +49 821 598-2134
- Email: studienberatung@informatik.uni-augsburg.de
Student Advisory – Data Science
Prof. Dr. André Uschmajew
- Phone: +49 821 598-2033
- Email: ds@math.uni-augsburg.de