Data Literacy und Business Analytics
Data Literacy Meets Analytical Expertise
In the Master's program Data Literacy and Business Analytics at TU Bergakademie Freiberg, you will acquire in-depth knowledge in data-driven decision support – from collecting and processing large volumes of data to analyzing, interpreting, and implementing data-based solutions in business and public administration.
Program Content
The program offers an interdisciplinary combination of statistics, computer science, economics, and ethics. Key focus areas include:
- Fundamentals and methods of data analysis and statistics
- Machine learning and artificial intelligence in the context of business applications
- Data visualization, storytelling, and decision support
- Data literacy for informed judgment in dealing with digital information
- Legal, social, and ethical issues in data handling
A strong emphasis is placed on practical application: In project modules and case studies, students work on real-world challenges from business and society – in close collaboration with partners from industry, research, and the public sector.
Program Structure
The program comprises four semesters (120 ECTS) and is structured as follows:
- Core modules providing methodological and theoretical foundations
- Elective modules for individual specialization (e.g., Predictive Analytics, Responsible AI, Visual Analytics)
- Practice-oriented project work and case study
- Master's thesis with scientific and real-world relevance
Please note: The courses on this degree program are held in German. However, the specialised literature is primarily written in English. English language skills are therefore also required for this degree program.
- Faculty
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Faculty of Business Administration (Faculty 6)
- Degree
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Master of Science (M. Sc.)
- Standard period of study
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4 Semester
- Part-time possible
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No
- Start of studies
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Winter semester
- Admission requirement
-
Bachelor's degree in an business and economics degree program
Language skills
- Application: with at least B1 level German
- Admission to the degree programme: with C1 level German (e.g. DSH-2)
- Language courses and DSH exam at TUBAF
- Course language
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German
Graduates are able to analyse and critically reflect on data-driven issues from an interdisciplinary perspective and translate them into sustainable decision-making processes. Typical fields of application are:
- Business Intelligence / Data Analytics
- Controlling and Strategic Corporate Planning
- Data-driven Marketing and Customer Analytics
- Public Sector Data Science
- Data Governance and Ethical Data Policy
Special Features of the Degree Program
- Interdisciplinary concept with methodological depth and social relevance
- Integration of current research topics in teaching and Master's theses
- Option for a semester abroad and individual specialisation