Data Science is becoming a key component of any large business in the world, which is why three of our main facultys decided to join together to create an interdisciplinary program teaching this subject. 

Here you can find all the necessary information about the newly introduced masters program at our university.

Information for first semester students in Summer 2024

Dear students in the first semester of the M.Sc. Data Science programme,

to get access to the slides from the welcome meeting on Monday, April 15, please register for the course 14803261 in Porta (linked here). This contains advise regarding which courses to choose and how to prepare for them.

The relevant courses in summer semester are:

  • Big Data Analytics
  • Data Mining
  • Numerical Optimization for Data Science
  • Statistical Methods of Data Science

The details of course organisation can be found on Stud.IP and will be given by the respective lecturer shortly before or at the start of the semester. So please refrain from sending individual e-mails to lecturers beforehand.

To receive this information and to be up to date, it is crucial that you register for your courses in the PORTA system first, which in turn leads to an automatic registration in Stud.IP. Technical details on this are available on the general website of Trier University.

To use PORTA and Stud.IP, you need valid Trier University credentials ( which you will receive after proper enrollment at the university. You can either enroll in person in Trier or (if your visa process is delayed, etc.) online. Please refer to this website for more information regarding this process and contact admissionuni-trierde if you have further administrative questions after consulting the website.

We wish you a good start at Trier University!

Stay safe and healthy!

M.Sc. Data Science team

M.Sc. Data Science

Why study data science in Trier?

The profile of the master's program in Data Science is characterized by:

  • a unique interdisciplinary curriculum integrating aspects from computer science, mathematics and statistics witha focus on data science
  • all courses are taught in English language
  • introductory courses on computer science, mathematics and statistics in the first semester enable taking up the study program with a diversity of bachelor degrees
  • E-learning courses can be attended in the beginning, in order to compensate for different knowledge levels
  • compulsory research project (10 credits) as introduction to independent scientific work
  • broad selection of specialty courses with free choice
  • double degree masters in combination with computer science, business computer science, applied mathematics, business mathematics and survey statistics

How is the course of study structured?

What are the job prospects?

The graduates of the M. Sc. Data Science have, depending on their course specialization, a well-grounded research-based knowledge. This knowledge qualifies them for the acceptance of an occupation in an interdisciplinary environment.Typical fields of activity are R&D, finance industry, insurances, logistics, Biotechnology and medical sciences, IT security, statistical institutes. Examples of activities are:

  • R&D of concepts, frameworks and software components for data management and data analysis
  • introduction and operation of data management and analysis software for use in companies or public institutions and statistical offices
  • conception and implementation of training courses for the use of data analysis systems as well as education and training for manufacturers, users and private or public educational institutions
  • performing responsible positions in the field of data analysis in specialist departments, projects or for IT companies and consulting firms


  • datascienceuni-trierde
  • Prof. Dr. Ralf Münnich (Survey Statistics)
  • Prof. Dr. Ralf Schenkel (Computer Science)
  • Prof. Dr. Volker Schulz (Mathematics)

What are the examination regulations?

An overview of the examination regulations and the module descriptions can be found here. An unofficial translation of the regulations can be found here.

What are the specifics for admission?

To study Data Science you need to meet certain language requirements, an overview can be found here.

It is also highly recommended to download and read the checklist for admission requirements.

If you satisfy said specifications please make sure to meet our application deadlines.

What if I have further questions?

For specific questions regarding the studies, please feel free to contact us: