Data Science (Master)

The Master's in Data Science is an international, English-language Master's programme and is aimed at students with a Bachelor's degree from Germany, other European countries and other countries. The study programme builds on the computer science knowledge acquired in the Bachelor's programme and requires basic knowledge of object-oriented programming and databases.

Personal conditions

• You enjoy working in international employees and have good English skills.
• You are interested in analysing complex data sets and extracting innovative solutions.
• You are sensitive to data security and ethics.
• You like to understand interrelationships in detail and want to systematically develop data-based solutions.
• You want to expand your technical and methodological knowledge in dealing with data processing and analysis.

Offers at the department

• Small groups for seminars, practice classes and internships
• State-of-the-art technical equipment
• Personally approachable professors
• Fixed contact persons for all questions relating to university studies
• Student representation: student association

The Data Science study programme at Fulda University of Applied Sciences has a 90 and a 120 ECTS credits option and lasts 1.5 and 2 years respectively. It is taught entirely in English and emphasises project work and intercultural teams.

Students on the Master's programme in Data Science use academic methods and techniques to derive decisions for various fields of application from data sets. The Master's programme is practice-oriented and focuses on data engineering and data analysis. Various data frameworks are used, such as Python and R. This knowledge is transferred in courses related to practice, team projects and the Master's thesis.

The international orientation of the study programme offers the opportunity to set individual specialisations in data science and computer science during the integrated semester abroad (120 ECTS credits option) at one of the partner universities. Alternatively, a research project as well as computer science courses and elective subjects can be taken a course.

The first two semesters begin with basics in Data Engineering (yellow) and Data Analysis (orange), an application-specific course (blue) and a course in Data Security, Law and Ethics (brown). This knowledge can be used in various functional areas in the team project and in the Master's thesis.

• Degree in computer science or a computer science-related subject from a German university or comparable foreign university. The scope of this degree programme must be at least 180 or 210 credits by German standards, i.e. international applicants with a foreign degree must provide evidence of a degree equivalent to at least three years or three and a half years of German university studies.
• The average grade must be 2.5 or better.
• Successful evidence of aptitude is provided by the department as part of an aptitude test.
• Qualified English language skills, which are usually proven by a TOEFL test (computer-based at least 213 points, paper-based at least 550 points, internet-based at least 85 points). Alternatively, an IELTS test with a score of band 6.5 or higher is also accepted. Qualified German language skills at level A2 of the Common European Framework of Reference for Languages, usually evidenced by a Goethe-Zertifikat A2, telc-Zertifikat A2, ÖSD-Zertifikat A2 or ECL-Zertfifikat A2. Alternatively, the language certificates DSH1 or TestDaF at least TDN3 are also accepted. Applicants who have obtained their university entrance qualification at a German-speaking facility are exempt from the requirement to provide proof of German language skills.

Winter semester
German/EU/EEA nationals with a foreign first degree: 1 March to 30 September
All other nationalities with a foreign first degree: 1 March to 31 May
All international applicants with a German first degree: 15 April to 30 September