Pre-Course for Statistics

Pre-Course for Statistics

Learn more about our pre-course in statistics and start your Tech & Software Master's degree in Data Science at UE optimally prepared.

Pre-Course for Statistics Programme

Pre-Course for Statistics

For the Tech & Software Master’s programme Data Science, basic knowledge of statistics is an admission requirement for an application. At UE, you have the opportunity to prove this through a preliminary course in statistics. The course is also open to interested parties and students who would like to expand their skills. During the course you will learn the basics of statistics through exercises and apply basic concepts as well as methods of statistics in self-study.

Start | Language of Instruction

  • Winter semester: September
  • Summer semester: March
  • English


  • Online & On Campus

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Credits | Duration | Fees

The preliminary course comprises 22.5 hours, which will be spread over a period of approx. 1 month, and covers the following basics of statistics: 

  • Graphical and tabular descriptive techniques
  • Numerical descriptive techniques: measure of location and variability
  • Correlation and Contingency
  • Lineare Regression
  • Probability
  • Introduction to estimation

Learn from our Experts

Here you will find further valuable information about our professors and their career.

Prof. Dr. Talha Ali Khan

Prof. Dr. Talha Ali Khan

Learn more about Prof. Dr. Talha Ali Khan, Professor of Data Science , Campus Innovation Hub at University of Europe for Applied Sciences.
Prof. Dr. Iris Lorscheid

Prof. Dr. Iris Lorscheid

Dr. Iris Lorscheid is the Vice-Rector of Research, Programme Leader Business Informatics & Data Science at UE Germany, Hamburg campus.
Prof. Dr. Britta Ruhnau

Prof. Dr. Britta Ruhnau

Prof. Dr. Britta Ruhnau is the Vice Dean of Business at University of Europe for Applied Sciences at Iserlohn campus.

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