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Step 1 - Find your Study Program
Fulda University
Fulda
Data Science
Subjects: Data Science;Science;Technology
M.Sc. | Master of Science
Course description
The Master's programme in Data Science equips students for a career as a Data Scientist. This practice-oriented programme emphasizes data engineering and data analysis. Students work with various data science frameworks, including Python and R. They apply this knowledge in hands-on courses, a team project, and their master's thesis. A semester abroad at one of our partner universities can enhance your intercultural skills. Using scientific methods and techniques, students learn to make decisions from data sets across different application areas. They master the entire process: problem analysis, data understanding, data preparation, modeling, and evaluation. This programme ensures you gain practical experience and theoretical knowledge, preparing you for the dynamic field of data science.
Program Information
| Study Location | Fulda |
| Start Semester | Summer, Winter |
| Study Form | Full-time |
| Study Type | Postgraduate |
| Teaching Language | English |
| Dual | No |
| Remote | No |
| Application Fee non-EU | No information |
| Study Length | 3 Semesters |
| Tuition Fees per Semester | No Tuition Fee |
| Cost per Semester | 390.0 EUR |
Step 2 - Check Application Requirements
Application Requirements
Language Requirements
| CEFR | No information |
| IELTS | No information |
| Cambridge (CAE) | No information |
| TOEFL IBT | No information |
very good knowledge of English
Qualification Requirements
First professional degree (e.g. Bachelor) in Computer Science or a related subject (German university degree: 210 ECTS or 180 ECTS, international university degree: 3.5 years standard period of study), final grade 2.5; very good knowledge of English, entrance examination, aptitude test if applicable.
Application Process
| Acceptance Interview | No |
| Acceptance local admission restrictions | Not restricted |
| Application |
directly at the University, uni-assist |
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