Winter semester 2024-2025 examination schedule
The examination period of the winter semester 2024-2025 will begin on Monday
The main topic of the DWS M.Sc. Programme is the specialization in Data and Web Science. The efficient and effective data management is a critical issue given the exponential data growth and the rapid evolution of Web technologies which pose new challenges. These challenges arise at all levels of the Information Technology Stage in terms of infrastructure, management, access, and exploitation of information for knowledge mining that will be provided in a direct way and will open new possibilities for the development of science and innovation. The purpose of the DWS M.Sc. Programme is the training of postgraduate students in Data Science and the World Wide Web so that they are either able to work directly in the industry in relevant jobs, or to undertake research and PhD theses. We are aiming for a flexible curriculum that includes both basic and advanced topics and offers powerful resources in the areas of Data Science and Web Science.
The number of approved students is set to fourty (40) postgraduate students per year.
Great point average, relevance of the B.Sc. degree, and transcript, Success in personal interview, Language skills, Research/professional activity, Publications.
The postgraduate program requires successful completion of 8 courses in the first two semesters, evenly distributed between the semesters, as well as the completion of a thesis during the third semester for full-time studies.
The total cost is 600€ per semester for full-time studies.
The examination period of the winter semester 2024-2025 will begin on Monday
Σας ενημερώνουμε ότι η παρουσίαση διπλωματικών εργασιών για το ακαδημαϊκό έτος 2024-2025
We would like to inform you that students of the 1st and
On Monday December 09, 2024 at 17:00 pm, in lecture room ΕΑ1,
Την Τρίτη 22/10/2024 στις 19:00 θα πραγματοποιηθεί διάλεξη απο τον καθηγητή Ahmad
Παρακαλείσθε να μελετήσετε τις κανονιστικές υπουργικές αποφάσεις που δημοσιεύτηκαν στο ΦΕΚ να συγκεντρώσετε
On Wednesday 15 May 2024 at 19:00 in room A31 a lecture
Mr. Zisis Flokas, data engineer at Libra AI Technologies and graduate of
Abstract Η χρήση μεθόδων Μηχανικής Μάθησης (ΜΜ) για την επιτάχυνση της επιστημονικής
Our MSc programme proudly disseminates the outcomes of the full MSc scholarships
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