Examples of possible study paths
Example 1
| Semester | Year 1 — Courses | ECTS credits | Area |
| 1 | Functional Analysis for Engineers | 5 | MA |
| 1 | Algorithms of Numerical Linear Algebra | 7,5 | MA |
| 1 | Practical parallel algorithms with MPI | 5 | CS |
| 1 | Pattern Recognition | 5 | TAF |
| 1 | Advanced Programming Techniques | 7,5 | CS |
| Total | 30 | ||
| Semester | Year 1 — Courses | ECTS credits | Area |
| 2 | Optimisation for Engineers | 7,5 | MA |
| 2 | Seminar | 5 | |
| 2 | Programming Techniques for Supercomputers | 7,5 | CS |
| 2 | Visual Computing in Medicine | 5 | TAF |
| 2 | Deep Learning | 5 | TAF |
| Total | 30 | ||
| Semester | Year 2 — Courses | ECTS credits | Area |
| 3 | Operating Systems | 6 | |
| 3 | Processor Architecture | 6 | CS |
| 3 | Multiprocessors Architecture | 6 | CS |
| 3 | Compilers for High-Performance Computers | 6 | CS |
| 3 | Supercomputing for Challenging Applications | 6 | TAF |
| Total | 30 | ||
| Semester | Year 2 | ECTS credits | Area |
| 4 | Master Thesis | 30 |
Example 2
| Semester | Year 1 — Courses | ECTS credits | Area |
| 1 | Parallel computing | 5 | CS |
| 1 | Advanced methods for scientific computing | 5 | CS |
| 1 | Numerical linear algebra | 5 | MA |
| 1 | Numerical methods for partial differential equations | 5 | MA |
| 1 | Streaming data analytics | 5 | CS |
| 1 and 2 | Elective courses from Math/Phys table | 10 | CS |
| Total | 30 | ||
| Semester | Year 1 — Courses | ECTS credits | Area |
| 2 | Quantum physics | 5 | MA/PHY |
| 2 | Computing infrastructures | 5 | CS |
| 2 | Software engineering for HPC | 5 | MA |
| 2 | Advanced computer architectures | 5 | CS |
| 2 | Applied statistics | 5 | MA |
| 1 and 2 | Elective courses from Math/Phys table | 10 | MA/PHY |
| Total | 30 | ||
| Semester | Year 2 — Courses | ECTS credits | Area |
| 3 | GPU programming | 6 | CS |
| 3 | FPGA and Quantum Computing | 6 | |
| 3 | Seminars (Scientific Applications) | 6 | TAF |
| 3 | Transversal Skills | 6 | TS |
| 3 | Artificial Intelligence/machine learning | 6 | TS |
| 3 | Big data analytics (HPDA) | 6 | CS |
| Total | 30 | ||
| Semester | Year 2 | ECTS credits | Area |
| 4 | Master Thesis | 30 |
Example 3
| Semester | Year 1 — Courses | ECTS credits | Area |
| 1 | Operating Systems | 5 | |
| 1 | Pattern Recognition | 5 | |
| 1 | Programming Techniques for Supercomputers | 7,5 | |
| 1 | Advanced Programming Techniques | 7,5 | |
| 1 | Algorithms of Numerical Linear Algebra (optional) | 7,5 | |
| 1 | Computer Architecture | 5 | |
| Total | 30 | ||
| Semester | Year 1 — Courses | ECTS credits | Area |
| 2 | Architecture of Supercomputers | 5 | |
| 2 | Software Architecture | 5 | |
| 2 | Seminar (optional) | 5 | |
| 2 | Deep Learning | 5 | |
| 2 | Optimisation for Engineers | 7,5 | |
| 1 | Visual Computing in Medicine | 5 | |
| Total | 30 | ||
| Semester | Year 2 — Courses | ECTS credits | Area |
| 3 | Big data analytics (HPDA) | 6 | |
| 3 | Artificial Intelligence/machine learning | 6 | |
| 3 | GPU programming | 6 | |
| 3 | FPGA and Quantum Computing | 6 | |
| 3 | Seminars (Scientific Applications) | 6 | |
| 3 | Transversal Skills (optional) | 6 | |
| Total | 30 | ||
| Semester | Year 2 | ECTS credits | Area |
| 4 | Master Thesis | 30 | |
| Semester | Optional courses | Area | |
| 3 | Functional Analysis for Engineers | 5 | |
| 3 | Advanced Programming Techniques | 7,5 | |
| 3 | Programming Techniques for Supercomputers | 7,5 | |
| 3 | Architecture of Supercomputers | 5 |
