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.
The program follows a project-based structure, integrating research with advanced coursework. Students develop expertise in data mining, AI, deep learning, and big data architectures, applying their knowledge in real-world projects from the start. The curriculum includes agile project management, scientific publishing, and AI ethics, ensuring both technical depth and academic excellence. The fourth semester is dedicated to the Master’s thesis, allowing students to make significant contributions to applied research.
The full-time Master’s program is built around continuous project work, ensuring students gain hands-on experience while mastering theoretical foundations. Courses are taught in English, fostering an international learning environment. With small class sizes and individualized mentoring, students engage closely with faculty and industry partners, benefiting from a dynamic research-oriented structure. The flexible entry in winter or summer semesters allows for tailored study planning.
This program prepares graduates for high-impact careers in AI and data science:
- Applied Research: Roles in universities, research institutes, and tech-driven centers.
- Industry & Innovation: Positions in Research & Development teams at global companies, developing AI-driven solutions in finance, healthcare, and manufacturing.
- Entrepreneurship: Opportunities to launch startups based on research, supported by university innovation programs.
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 > 8 months | 15 Januaryin 64 days |
| 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). |
German Students
| Intake | Winter Semester | Summer Semester |
| Application deadline | 15 Julyin > 8 months | 15 Januaryin 64 days |
| Application mode | Directly at university → More info | Directly at university → More info |
Other EU Students
| Intake | Winter Semester | Summer Semester |
| Application deadline | 15 Julyin > 8 months | 15 Januaryin 64 days |
| 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
christian.schwede@hsbi.de
Sinja Ponick and Weronika Henryka Ludwig
Contacts for International Admissions
Contact Details:
admission@hsbi.de
Information Package
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