- Data Science and Data Literacy for graduates of all academic disciplines
- Informatics basics for non-computer scientists
- Intelligent data analyses and machine learning
- Data management
- Data communication
3 oder 4 Semester
Program Startwinter semester or summer semester
Sem Contribution€322.80 (incl. semester ticket)
Full-Time Program
LanguageGerman
Credits90 or 120
AccreditationASIIN until 30.09.2026
15.03. – 15.08. (WiSe)
15.09. – 15.02. (SoSe)
15.05. – 15.09. (WiSe)
15.09. – 15.03. (SoSe)
Course content and objectives
The degree program aims at imparting competences in data science. Graduates are familiar with typical questions and can match real problems and data with these questions. They operate systematically and critically with data in data-driven processes and applications (data literacy). Graduates have the required informatics knowledge to capture, store, archive, visualize, communicate, search and analyze databases. They know current approaches and methods of data analysis, management and communication as well as their potentials, limits, advantages and disadvantages and are able to use these in practice. They can securely handle established tools for data science projects. The program is scientific- and application-oriented. Graduates are prepared for demanding executive positions in data science projects and qualified to take up doctoral studies.
Requirements
- Admission requirement is a qualified university degree in a Bachelor's degree program with a standard period of study of at least 6 semesters (180 credits). Graduates of such a degree course are enrolled on the 4-semester Master's degree course in Data Science. It begins in the winter semester of each academic year. A total of 120 credits must be earned.
- Applicants with a qualified university degree in the Bachelor's degree program “Applied Computer Science - Digital Media and Game Development”, in a Bachelor's degree program in the field of computer science or in comparable degree programs with a standard period of study of at least 7 semesters (210 credits) can be admitted to the 3-semester “Data Science” degree program. This can be started in both the winter and summer semester. A total of 90 credits must be proven.
Recognized German language certificates for international applicants:
- DSH2
- TestDaF-4xTDN4
- Equivalent language certificates if applicable
Career Opportunities
Data scientists are sought in all fields and branches. They are needed, wherever data occur, data flows must be coordinated and data must be evaluated. Job perspectives are broad, spanning from IT companies that have products for data analyses and management in their portfolios (e.g. in the development team for “intelligent” products) to cross-sector consultancy for data science methods in enterprises. Whether project lead for data science projects or team member for the implementation – whether analyst of company data or programmer – whether practicalist or scientist – our graduates are trained for all fields. Great demand further creates a comfortable position on the job market.
- unrestricted admission
- applicants whose school or previous university studies were not German-taught, must prove German skills according to level B2/C1 or comparable
Data Science - Master - Studien- und Prüfungsordnung - Neufassung - 2019
Allgemeine Bestimmungen - Master - Studien- und Prüfungsordnung 2018
Data Science - Double Degree - Master - Studien- und Prüfungsordnung 2019 - Ergänzungssatzung - 2019
Data Science - Master - Studien- und Prüfungsordnung 2019 - Änderungssatzung - 2019
Data Science - Master - Studien- und Prüfungsordnung - 2019 - Änderungssatzung - 2022
Data Science - Master - Studien- und Prüfungsordnung - 2019 - Satzung Double Degree - 2022
Data Science - Master - Studien- und Prüfungsordnung - 2019 - Änderungssatzung - Lesefassung 2022
Data Science - Master - Studien- und Prüfungsordnung - 2019 - Änderungssatzung - Lesefassung 2019
