The following courses are part of study year one.
The course application codes and study periods are valid for the academic year 2024/2025. For other academic years, different application codes and study periods may apply
General Courses
General Courses
Mandatory courses
| Course code | Course name | Scope | Educational level |
|---|---|---|---|
| AK2030 | Theory and Methodology of Science (Natural and Technological Science) Can be taken in any period during the programme |
4.5 hp | Second cycle |
| DA2215 | Theory of Science and Scientific methods in Cybersecurity Can be taken in any period during the programme |
3 hp | Second cycle |
| DD2303 | The Cybersecurity Engineer's Role in Society | 2 hp | Second cycle |
| DD2391 | Cybersecurity Overview | 7.5 hp | Second cycle |
| DD2510 | Cybersecurity in a Socio-Technical Context Can be read in year 1 or year 2 |
7.5 hp | Second cycle |
| DD2520 | Applied Cryptography | 7.5 hp | Second cycle |
| EN2720 | Ethical Hacking | 7.5 hp | Second cycle |
Conditionally elective courses
| Course code | Course name | Scope | Educational level |
|---|---|---|---|
| DD2448 | Foundations of Cryptography | 7.5 hp | Second cycle |
| DD2496 | Privacy Enhancing Technologies | 7.5 hp | Second cycle |
| DD2497 | Project course in System Security | 7.5 hp | Second cycle |
| DD2525 | Language-Based Security | 7.5 hp | Second cycle |
| EL2850 | Cyber-Physical Security in Time-Critical Systems | 7.5 hp | Second cycle |
| EP2500 | Networked Systems Security | 7.5 hp | Second cycle |
| EP2510 | Advanced Networked Systems Security | 7.5 hp | Second cycle |
| EP2520 | Building Networked Systems Security | 7.5 hp | Second cycle |
| EP2780 | Digital forensics and incident response | 7.5 hp | Second cycle |
| EP2790 | Security Analysis of Large-Scale Computer Systems | 7.5 hp | Second cycle |
| ID2218 | Design of Fault-tolerant Systems | 7.5 hp | Second cycle |
| IL1333 | Hardware Security | 7.5 hp | First cycle |
Recommended courses
| Course code | Course name | Scope | Educational level |
|---|---|---|---|
| DD1420 | Foundations of Machine Learning Overlaps with DD2421 |
7.5 hp | First cycle |
| DD2412 | Deep Learning, Advanced Course | 6 hp | Second cycle |
| DD2421 | Machine Learning Overlaps with DD1420 |
7.5 hp | Second cycle |
| DD2424 | Deep Learning in Data Science | 7.5 hp | Second cycle |
| DD2434 | Machine Learning, Advanced Course | 7.5 hp | Second cycle |
| DD2437 | Artificial Neural Networks and Deep Architectures | 7.5 hp | Second cycle |
| DD2440 | Advanced Algorithms | 6 hp | Second cycle |
| DD2443 | Parallel and Distributed Computing | 7.5 hp | Second cycle |
| DD2447 | Statistical Methods in Applied Computer Science | 6 hp | Second cycle |
| DH2628 | Interaction Design Methods | 7.5 hp | Second cycle |
| EG2130 | Communication and Control in Electric Power Systems | 7.5 hp | Second cycle |
| EL2805 | Reinforcement Learning | 7.5 hp | Second cycle |
Supplementary information
The mandatory courses AK2030 Theory and Methodology of Science and DA2215 Theory of Science and Scientific methods in Cybersecurity can be taken at any period during the programme.
Information regarding conditionally elective courses
At least 30 credits of the conditionally elective courses must be taken.