The total number of credits (ECTS) required to obtain a Postgraduate Diploma (BMI) amounts to ninety (90).
Τhirty (30) credits Of these, correspond to the four (4) courses of the first semester, thirty (30) credits correspond to the four (4) courses of the second semester and, thirty (30) credits correspond to the elaboration of the postgraduate diploma of the third Semester.
In order to receive an M.Sc, students are required to successfully attend and be examined in all compulsory courses, in three (3) of the courses offered as electives, and to successfully complete a diploma thesis during the third semester.
| A’ SEMASTER | |||
| A. COMPULSARY | |||
| CODE | C.P. | COURSE TITLE | |
| MCDA101 | 7.5 | Methods for Statistical Data Analysis | |
| DDCD101 | 7.5 | Algorithms for Data Science | |
| Β. ELECTIVE | |||
| 7.5 | ELECTIVE COURSE | ||
| 7.5 | ELECTIVE COURSE | ||
| ΣΥΝΟΛΟ | 30 | ||
| Β. ELECTIVE COURSE Α΄ SEMASTER | |||
| DDCD103 | 7.5 | Analysis and Management of Spatial-Temporal Data | |
| DDCD105 | 7.5 | Matrix Methods and Tools in Data Driven Science | |
| DDCD107 | 7.5 | Performance Evaluation of Information Systems | |
| DDCD109 | 7.5 | Quality of Service in Networks | |
| DDCD111 | Special Topics in Artificial Intelligence | ||
| DDCD117 | 7.5 | Artificial Intelligence in Robotics | |
| DDCD### | 7.5 | Cybersecurity | |
| Β΄ SEMASTER | |||
| Α. COMPULSARY | |||
| CODE | C.P. | COURSE TITLE | |
| DDCD102 | 7.5 | Big Data Management and Mining Methods | |
| DDCD106 | 7.5 | Decentralized Systems for Big Data Management | |
| DDCD002 | 7.5 | Research Methodology and Case Studies in Data Driven Decision Making | |
| Β. ELECTIVE COURSES | |||
| 7.5 | ELECTIVE COURSE | ||
| TOTAL | 30 | ||
| Β. ELECTIVE COURSE B΄ SEMASTER | |||
| One during the B΄ SEMASTER | |||
| CODE | C.P. | COURSE TITLE | |
| DDCD108 | 7.5 | Advanced Topics in Algorithm Engineering | |
| DDCD110 | 7.5 | High Performance Computing for Data Sciences | |
| MCDA111 | 7.5 | Applied Bayesian Statistics and Simulation | |
| MCDA103 | 7.5 | Probabilistic Models for Data Driven Decision Making | |
| DDCD112 | 7.5 | Intelligent Decision Making Systems | |
| MCDA114 | 7.5 | Multivariate Data Analysis and Statistical Inference | |
| DDCD116 | 7.5 | Probabilistic Methods for Complex Networks | |
| C’ SEMASTER | |||
| A. COMPULSARY | |||
| CODE | C.P. | COURSE TITLE | |
| DDCD001 | 30 | (MSc Thesis) | |
| TOTAL | 30 | ||
