Msc in Data Science

The MSc in Data Science Program is being offered by the School of Science & Technology of the University Center of International Programs of Studies of the International Hellenic University.
The program aims to provide graduate level education with an interdisciplinary approach as regards the management, visualization and processing of big data as well as the relevant computational techniques and technologies and is targeted towards graduates and professionals who wish to broaden their knowledge in the field.
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.