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
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University degree
- Applicants must provide a qualified university degree in a Bachelor's program with a standard period of study of at least 6 semesters and 180 credits. They will be admitted in the 4-semester master's program "Data Science". It starts 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 program "Applied Computer Science - Digital Media and Game Development", in a bachelor's program from the field of computer science or in comparable programs with a standard period of study of at least 7 semesters and 210 credits can be admitted to the 3-semester program "Data Science". This can be started in the winter semester as well as in the summer semester. A total of 90 credits must be proven.
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Language skills
- TestDAF Niveaustufe 4xTDN4
- DSH2
- or another acceptable German language certificate
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.
Program-specific questions
General Questions
(not program-specific)Notes
- unrestricted admission
- applicants whose school or previous university studies were not German-taught, must prove German skills according to level B2/C1 or comparable
Regulations and Conditions
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
Module Handbook
Data Science - Master - Studien- und Prüfungsordnung - 2019 - Änderungssatzung - Lesefassung 2022
Data Science - Master - Studien- und Prüfungsordnung - 2019 - Änderungssatzung - Lesefassung 2019