Master of Science in Data Science at Trier University

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 this masters program at our university.

Overview

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 with a 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

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

Contact:

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

How is the course of study structured?

course of studies

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.

You also need to have a Bachelor's degree in areas related to Data Science with a certain minimal grade; details can be found in §2 of the regulations (unofficial translation) and in this document by the examination committee (unofficial translation). 

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

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

What if I have further questions?

For specific questions regarding the studies, please feel free to contact us at datascienceuni-trierde:

  • Dr. Florian Ertz (Student advisory)
  • Prof. Dr. Ralf Münnich (Statistics)
  • Prof. Dr. Ralf Schenkel (Informatics)
  • Prof. Dr. Volker Schulz (Mathematics)