The following courses are part of study year two.
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) The course can be read in any period during the programme. |
4.5 hp | Second cycle |
| DA2215 | Theory of Science and Scientific methods in Cybersecurity | 3 hp | Second cycle |
| DA237X | Degree Project in Computer Science and Engineering, specialising in Cybersecurity | 30 hp | Second cycle |
| DD2303 | The Cybersecurity Engineer's Role in Society | 2 hp | Second cycle |
| DD2510 | Cybersecurity in a Socio-Technical Context Can be read in year 1 or year 2 |
7.5 hp | Second cycle |
Conditionally elective courses
| Course code | Course name | Scope | Educational level |
|---|---|---|---|
| DD2448 | Foundations of Cryptography | 7.5 hp | Second cycle |
| DD2460 | Software Safety and Security | 7.5 hp | Second cycle |
| DD2482 | Automated Software Testing and DevOps | 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 | 7.5 hp | First cycle |
| DD2412 | Deep Learning, Advanced Course | 6 hp | Second cycle |
| DD2421 | Machine Learning | 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 |
Information regarding conditionally elective courses
At least 30 credits of the conditionally elective courses must be taken.