Program Structure
The duration of studies for the Master’s Degree is set at three (3) semesters for full-time students and six (6) semesters for part-time students. Full-time students should successfully enroll in taught courses for two academic semesters (four academic semesters for part-time students) and their MSc thesis during the third semester (during the last two semesters for part-time students). Courses account for either 6 ECTS and are taught in ten 3-hour evening lectures or for 3 ECTS and are taught in five 3-hour evening lectures.
The MSc programme provides a large number of courses that cover various research and engineering topics in the areas of Cybersecurity and Data Science: 14 courses of 6 ECTS each and 16 courses of 3 ECTS each. In the first and second semester, (full-time) students have to successfully follow a number of courses that sum up to 30 ECTS per semester. To do so, they should enroll in a number of compulsory as well as elective (or compulsory of other tracks) courses. In the third semester, (full-time) students perform their MSc thesis that counts for 30 ECTS. The above periods are doubled for part-time students.
Available courses for each track and semester are shown below (compulsory courses are marked with C):
First Semester
| Title | ICSS | ESSR | BDA | ECTS |
|---|---|---|---|---|
| CDS101: Network and Communications Security | C | 6 | ||
| CDS102: Information Security Governance | C | 6 | ||
| CDS107: Data Analytics and Machine Learning | C | C | C | 6 |
| CDS113: Applied Cryptography | 3 | |||
| CDS103: Security Architecture Design | C | C | 6 | |
| CDS104: Secure Applications for the Internet of Things | C | 3 | ||
| CDS105: Embedded Systems Design | C | 6 | ||
| CDS106: Dependable Computing Systems | C | 3 | ||
| CDS108: Information Systems Management | C | 3 | ||
| CDS109: Optimization Techniques | C | 6 | ||
| CDS110: Big Data Management | C | 6 | ||
| CDS111:: Computational Tools for Business Analytics | 3 | |||
| CDS112: Algorithms and Complexity | 3 | |||
| CDS114: Critical Infrastructure Protection | 3 | |||
| CDS115: Deep Learning | C | 3 |
Second Semester
| Title | ICSS | ESSR | BDA | ECTS |
|---|---|---|---|---|
| CDS201: Penetration Testing | C | 6 | ||
| CDS202: Digital Forensics | C | 3 | ||
| CDS203: Malware Analysis | C | 3 | ||
| CDS211: Advanced Cryptographic and Security Technologies (Blockchain technologies) | 3 | |||
| CDS212: Special Topics in Security and Privacy | 3 | |||
| CDS204: Software Security | C | C | 6 | |
| CDS205: Hardware Security | C | 6 | ||
| CDS206: Embedded Systems Reliability | C | 6 | ||
| CDS207: Mathematical Methods for Business Analytics | C | 6 | ||
| CDS208: Deep Learning (with Applications in Cybersecurity and Analytics) | C | 3 | ||
| CDS209: Geospatial Data Management and Analytics | C | 3 | ||
| CDS210: Visual Analytics | C | 6 | ||
| CDS213: Graph and Network Analytics | 3 | |||
| CDS214: Time-Series Analytics and Forecasting | 3 | |||
| CDS215: Legal and Ethical Issues in Cybersecurity and Data Science | 3 |