SEMESTER 1 – Basic Knowledge – Compulsory Courses
MSc-101 – Internet of Things
MSc-102 – Distributed Systems
MSc-103 – Next Generation Networks
MSc-104 – Machine Learning Technologies
MSc-105 – Technology and Entrepreneurship
In the first semester the student enrolls in five (5) courses, all compulsory, for a total of thirty (30) ECTS (5 courses x 6 ECTS/course = 30 ECTS).
SEMESTER 2 – Specializations – Compulsory Courses
MSc-201 – Advanced Security Systems
MSc-202 – Cloud Computing Technologies
MSc-203 – Big Data Management Systems
Elective Courses
The two (2) courses of the specialization chosen by the student:
Specialization 1: Intelligent Cyber Systems and Services
211 – Intelligent Cyber-Physical Systems.
212 – User Interface Design for Intelligent Services
Specialisation 2: Advanced Educational Technologies
221 – Advanced Educational Technology Systems
222 – Digital Skills for STEM Sciences
Specialisation 3: Business Analytics and Data Science
231 – Business Intelligence
232 – Advanced Knowledge Mining Techniques
In semester B, the student enrolls in five (5) courses, three (3) compulsory and two (2) electives depending on the specialization chosen, for a total of thirty (30) ECTS (5 courses x 6 ECTS/course = 30 ECTS).
SEMESTER 3
M.Sc. – Diploma thesis
The Master’s Degree requires the accumulation of 90 ECTS credits: 60 credits from the 10 courses offered in the MSc and 30 credits from the thesis.