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13.FuldaUniversityofAppliedSciences
University note
Fulda University of Applied Sciences – M.Sc. Data Science
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Program Overview
| Field | Details |
| University | Fulda University of Applied Sciences |
| Department | Applied Computer Science |
| Degree | Master of Science (M.Sc.) |
| Program Type | Campus-based |
| Language of Instruction | English |
| Start of Studies | Winter Semester |
| Duration | 3 semesters (90 ECTS) or 4 semesters (120 ECTS) |
| Admission Restriction | No (Open Admission) |
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Program Highlights
- Fully taught in English
- International study environment
- Project-oriented learning
- Integrated semester abroad (120 ECTS option)
- Focus on Data Engineering and Data Analysis
- Legal and ethical aspects of Data Science
- Small class sizes
- Modern laboratories and technical equipment
- Close interaction with professors
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Program Objective
The Master's program prepares students to understand, analyze, and model complex datasets to develop data-driven solutions.
Students learn to:
- Understand complex datasets
- Build predictive models
- Develop data-driven applications
- Work in international teams
- Apply ethical and legal principles in data science
- Solve real-world business and research problems
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Curriculum Structure
The program emphasizes practical learning through:
- Data Engineering
- Data Analysis
- Application-specific courses
- Data Security
- Law and Ethics
- Team Projects
- Master's Thesis
Students work extensively with industry-standard technologies such as:
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120 ECTS Option
For applicants with a 180 ECTS Bachelor's degree.
Duration: 4 semesters
Includes:
- Research Project
- Soft Skills Course
- Additional Computer Science courses
- Elective modules
- Optional Semester Abroad
This option allows students to deepen knowledge beyond the standard curriculum.
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90 ECTS Option
For applicants with a 210 ECTS Bachelor's degree.
Duration: 3 semesters
Focuses on the core competencies of Data Science through:
- Team Project
- Master Seminar
- Master's Thesis
- Specialized Data Science courses
Applicants with a 210 ECTS Bachelor's degree may choose either the 90 ECTS or 120 ECTS option.
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Admission Requirements
Applicants must have:
Academic Qualification
A Bachelor's degree in:
- Computer Science
- Computer Science-related discipline
- Equivalent international degree
Degree must be equivalent to:
- 180 ECTS (minimum) for the 120 ECTS Master's option, or
- 210 ECTS for the 90 ECTS Master's option
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GPA Requirement
Minimum average grade:
- 2.5 or better (German grading system)
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Aptitude Test
Applicants must successfully pass an aptitude assessment conducted by the Department of Applied Computer Science.
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English Language Requirement
Applicants must provide one of the following:
| Test | Minimum Score |
| IELTS Academic | 6.5 |
| TOEFL iBT | 85 |
| TOEFL CBT | 213 |
| TOEFL PBT | 550 |
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German Language Requirement
Minimum requirement:
Accepted certificates include:
- Goethe-Zertifikat A2
- telc A2
- ÖSD A2
- ECL A2
- DSH-1
- TestDaF (minimum TDN 3)
Applicants who obtained their university entrance qualification at a German-speaking institution are exempt from providing German language proof.
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Application Deadlines
Winter Semester
German / EU / EEA Applicants (Foreign Bachelor's Degree)
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Non-EU Applicants (Foreign Bachelor's Degree)
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International Applicants with a German Bachelor's Degree
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Career Opportunities
Graduates are prepared for careers such as:
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Data Engineer
- AI Consultant
- Business Intelligence Consultant
- Analytics Engineer
- Research Scientist
Graduates are trained to:
- Analyze complex datasets
- Predict trends
- Support business decision-making
- Lead complete Data Science projects
- Work effectively in global and interdisciplinary teams
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Department Features
Students benefit from:
- Small seminar and laboratory groups
- Modern technical infrastructure
- Accessible professors
- Dedicated academic advisors
- Active student association
- International learning environment
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International Opportunities
The program includes:
- Integrated semester abroad (120 ECTS option)
- Study at partner universities
- Multicultural project teams
- Internationally recognized degree
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Contact
Master Data Science
Email
master-data-science@informatik.hs-fulda.de
Phone
+49 661 9640-3010
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Study Programme Coordinator
Tatiana Blömer
Email
tatiana.bloemer@cs.hs-fulda.de
Phone
+49 661 9640-3017