³Ô¹ÏÍø

Skip to main content

Data Literacy und Business Analytics

Study concept

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
Faculty of Business Administration (Faculty 6)
Degree
Master of Science (M. Sc.)
Standard period of study
4 Semester
Part-time possible
No
Start of studies
Winter semester
Admission requirement

Bachelor's degree in an business and economics degree program

Language skills

Course language
German
Professional advice
Prof. Dr. Carsten Felden
Silbermannstr. 2, 2nd floor
Carsten.Felden [at] bwl-tu-freiberg.de +49 3731 39-2611
Central Student Advisory Service
Central Student Counselling Service
Prüferstr. 2, 3rd floor, room 3.405
studienberatung [at] tu-freiberg.de +49 3731 39-3469
Student Council
Student Representatives Faculty 6
Schlossplatzquartier, Schlossplatz 1, ground floor 202
fsr6 [at] stura.tu-freiberg.de +49 3731 39-3470
Job opportunities

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