Live Webinar 
Data Science (Research Μastеr)
(Starting: Both Semesters)
- Starting
- Both Semesters
- Mode of Admission:
- local admission restriction (local NC)
- Study Mode:
- On campus
- Registration Fee & Tuition Information:
- The semester fee is approximatеlу €248.80.
Five Reasons to choose this Master's Program
Program Video
Turn Data Into Discovery — Research Master at Hochschule Bielefeld
Course Description
The M.Sc. Data Science (Research Master) at Hochschule Bielefeld - University of Applied Sciences and Arts equips students with advanced expertise in AI, big data, and machine learning. Designed for those aiming to push the boundaries of data-driven innovation, this research-focused program emphasizes hands-on project work, interdisciplinary collaboration, and scientific publishing. Graduates are prepared for leading roles in industry, academia, or entrepreneurial ventures in AI-driven fields.
This program is ideal for tech-driven problem-solvers with a strong background in mathematics, statistics, and computer science. It is designed for students who seek to push AI research forward, develop cutting-edge data-driven solutions, and collaborate with industry and academia. Those aiming for careers in applied research, AI innovation, or high-tech entrepreneurship will find this program a perfect fit.
Special Program Features
AI Research Excellence – Publications on the Global Stage
Focus on scientific research and publication, presenting findings at international AI and data science conferences. Faculty mentorship gives insight into academic publishing.
Project-Driven Admission – Research with Purpose from Day One
You apply for a research project, not just the program, entering with a defined focus from day one. Areas include reinforcement learning, AI-driven logistics, and computer vision. → More Info
Individualized Learning in a Dynamic Academic Community
Small classes and close faculty contact mean one-on-one mentorship throughout your research. Interdisciplinary exchange and an international cohort foster collaborative innovation.
Accreditations
System Accreditation
System Accreditation
System accreditation is the internal quality assurance system of a state or state-recognized higher education institution in Germany. With system accreditation, a higher education institution receives the right to award the seal of the Accreditation Council for its self-assessed study programs.
Requirements
Qualification Requirements
The application requirements for the study program in "Data Science (Research Μastеr)" are:
with specialisation in mathematics/statistics and computer science (e.g., Biotechnology and Instrumentation Engineering, Digital Logistics, Digital Technologies, Electrical Engineering, Computer Science, Engineering Computer Sciences, Applied Mathematics, Mechatronics, Mechatronics/Automation, Business Information Systems)
of 2.5 (according to the German grading system) or bettеr.
English Language Proficienсу → Language Requirementsof at least B2 (CΕFR)
(successfully passed)
Language Requirements
The following certificates are recognized as proof of your language proficiency.
EnglishApplication & Admission
Application Deadlines
German Students 
Other EU Students 
Non-EU Students Non-EU Students| Intake | Winter Semester | Summer Semester |
| Application deadline | 15 Julyin 7 days | 15 Januaryin > 6 months |
| Application mode | Uni-assist (VPD) → More info | Uni-assist (VPD) → More info |
| Application fee | uni-assist Fees: €75 for the first application, €30 for each additional application (in the given semester). | uni-assist Fees: €75 for the first application, €30 for each additional application (in the given semester). |
Application Procedure & Selection
Application Documents
The letter should state the applicant’s choice from the project pool, list two alternative projects (priorities 2 and 3), and explain the applicant’s interest in thеm.
Location
Further Information
Your Personal Contact
Prof. Dr.-Ing. Christian Schwede
Academic Program Director
Contact Details:
+49 5241 21143-49
[email protected]
Sinja Ponick and Weronika Henryka Ludwig
Contacts for International Admissions
Contact Details:
[email protected]
Information Package
Get further information with one click!
Get your copy of the M.Sc. Data Science program brochure!
