Master of Science in Data Science (MSc)

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Course Overview

Course Level


Course Duration

12 Months (full-time), 18 Months (part-time i) or 24 Months (part-time ii)


Full Time or Part Time

Learning Style


Data Scientists are in great demand. This Master in Data Science focuses primarily on current developments in software and infrastructure engineering, as well as on Big Data technology. You’ll learn to fully develop your problem-solving skills and take a methodical, focused, and logical approach to data science problems.

During your studies, you will acquire key expertise. For example in:

  • Advanced Mathematics;
  • Advanced Statistics;
  • Machine Learning;
  • Big Data Technologies;
  • IT Security and Data Protection.


In semesters two and three of this programme, you'll choose two specialisations.

  • Business Analyst: Master the basics of business analysis, acquaint yourself with various use cases, and understand the characteristics of relevant types of data.
  • Data Engineer: Explore the infrastructure of data science: from data storage to provision.
  • Technical Project Lead: If you’re considering a career that combines technical knowledge with managerial skills, then this specialisation is the right choice for you. Here, you’ll develop the skill set required for owning and managing IT projects across different industries. 
  • Cognitive Computing: Get to know the exciting world of natural language processing (NLP).
  • Self Learning Systems: Get acquainted with a sub-division of machine learning that focuses on reinforced and assisted learning.

Career Prospects

As a specialist, you’ll be able to take on challenging tasks in both the private and public sectors.

  • Senior Data Scientist
  • Data Consultant
  • Data Science Developer

Learning Style

This programme is available with a full-time (12 months) or part-time (18 or 24 months) commitment. This programme is taught remotely.

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Course Details

Find out what you need to join the course, how it works and how it can take your career to the next level.

  • Entry Requirements

    An Undergraduate Degree in a related field.

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