MSc in Data Science

How to apply

The Programme

The Programme

For almost half a century now, the world has been producing and collecting data in digital form. However, the past decade hardware and network advances have allowed for very large, cost-effective storage and powerful processing as well as fast transfer speeds. At the same time, scientists have been developing software tools for the analysis of big and complex data, to extract valuable knowledge from them. The goal of data scientists is to make sense of large volumes of different forms of real-world data that may come from the entire spectrum of human activity.
Data Science nowadays is an “umbrella term” that encompasses a variety of scientific fields. Essentially, it is an interdisciplinary field that combines a multitude of different disciplines, some of the most important being the following:

  • Artificial Intelligence & Machine Learning
  • Statistics & Mathematics
  • Database and Big Data technology
  • Software Development & Algorithmics

However, the above list is not exhaustive, as a data scientist often needs to employ other skills, such as hacking, coding, critical thinking, problem understanding etc. All those make the job of the data scientist to be a mashup of different skills that are rarely found together.

Students who apply for the MSc in Data Science of the International Hellenic University, are mainly graduates with a STEM (Science, Technology, Engineering and Mathematics) or an Economics degree, who have a background in statistics and a good knowledge of fundamental concepts of databases and programming.


The Structure

The MSc in Data Science (full-time) is a 14-month programme taught over three terms. Lectures mainly take place on weekday evenings. The MSc in Data Science programme is also available in part-time mode over 26 months for those who cannot commit to a full-time programme either for work or other reasons.

Upon arrival at the IHU all students follow an intensive foundation course titled "Applied Mathematics in ICT" that aims to bring all incoming students to the same level with respect to some of the mathematics knowledge that is required to excel in the programme. During the first term, all students are required to attend five mandatory core courses. During the second term, all students follow a further three required courses and a combination of two elective courses. Finally, during the third term, work is dedicated exclusively to the Master's dissertation.


Programme announcement