← CSE — 2027-2028 — Study plans
AI Fundamentals Overlap (illustrative)
Scheme
Year 1
Q1
Q2
Q3
Q4
Year 2
Q1
Q2
Q3
Q4
Recommended electives
Q1
Q2
Q3
Q4
2AMM20 Research Topics in Data Mining (AI Fundamentals Specialization Elective; not part of CSE's own catalogue)
2AMM40 Advanced Topics in Artificial Intelligence (AI Fundamentals Specialization Elective; not part of CSE's own catalogue)
2MMA70 Differential Geometry for Image Processing (AI Fundamentals Specialization Elective; not part of CSE's own catalogue)
2MMA15 Functional Analysis (AI Fundamentals Specialization Elective; not part of CSE's own catalogue)
2MMA80 Mathematics of Neural Networks (AI Fundamentals Specialization Elective; not part of CSE's own catalogue)
2IMN30 Machine Learning for Industry (AI Fundamentals Specialization Elective; dropped from CSE's own 2027-2028 elective pool)
2MET10 Machine Learning for Scientific Computing and Numerical Analysis (AI Fundamentals Specialization Elective; not part of CSE's own catalogue)
2MMS80 Statistical Learning Theory (AI Fundamentals Core course; not part of CSE's own catalogue)
2MMS50 Stochastic Decision Theory (AI Fundamentals Specialization Elective; not part of CSE's own catalogue)
5SC28 Machine learning for systems and control (AI Fundamentals Specialization Elective; an Electrical Engineering course, not part of CSE's own catalogue)
Algorithms
Data Engineering
Formal Methods
Resource-Constrained Systems
Software Engineering
Visualization & Computer Graphics
Pool choices
This curriculum's requirement groups reference these roles instead of a fixed course collection -- pick which of this version's collections each one means for this plan (e.g. which trajectory is your "major").
Requirements
| Requirement | Detail | Credits | |
|---|---|---|---|
| Core courses | 15 EC / 15 EC | ✓ | |
| Ethics of Digital Technologies | 1 course / 1 course | ✓ | |
| Free electives | 15 EC / 15 EC | ✓ | |
| CSE electives | 20 EC / 20 EC | ✓ | |
| Specialization 1 | 10 EC / 10 EC | ✓ | |
| Specialization 2 | 10 EC / 10 EC | ✓ | |
| Seminar | 1 course / 1 course | ✓ | |
| Graduation project | 40 EC / 40 EC | ✓ | |
| Total | 120 / 120 EC | ✓ |
Entries (18)
| Year | Quarter | Requirement | Course | Credits | |
|---|---|---|---|---|---|
| 1 | Q1 | Core courses | 2IMA10 Advanced Algorithms |
5 EC | |
| 1 | Q1 | Specialization 1 | 2IMF25 Automated Reasoning |
5 EC | |
| 1 | Q1 | Core courses | 2IMF30 System Validation |
5 EC | |
| 1 | Q2 | Core courses | 2IMP40 Empirical Methods in Software Engineering |
5 EC | |
| 1 | Q2 | Specialization 2 | 2IMP60 Human-Computer Interaction |
5 EC | |
| 1 | Q2 | Ethics of Digital Technologies | TBD-ETHICS Ethics of Digital Technologies |
5 EC | |
| 1 | Q3 | CSE electives | 2AMM15 Deep Learning 1 |
5 EC | |
| 1 | Q3 | Specialization 1 | 2IMF15 Proving with Computer Assistance |
5 EC | |
| 1 | Q3 | CSE electives | 2IMS40 Intrusion Detection Laboratory |
5 EC | |
| 1 | Q4 | CSE electives | 2AMM10 Deep Learning 2 |
5 EC | |
| 1 | Q4 | Seminar | 2IMP00 Seminar Software Engineering and Technology |
5 EC | |
| 1 | Q4 | Specialization 2 | 2IMP20 Domain Specific Language Design |
5 EC | |
| 2 | Q1 | CSE electives | 2IMS25 Principles of Data Protection |
5 EC | |
| 2 | Q1 | Free electives | 2MMS10 Probability and Stochastics 1 |
5 EC | |
| 2 | Q1-Q2 | Graduation project | 2IMC05 Preparation Graduation Project |
10 EC | |
| 2 | Q2 | Free electives | 0LM190 Philosophy and ethics of AI |
5 EC | |
| 2 | Q2 | Free electives | 2MMD10 Optimization |
5 EC | |
| 2 | Q3-Q4 | Graduation project | 2IMC00 Master Project |
30 EC |
Elective slots
Leave a quarter's elective open rather than committing it to a specific course yet -- rendered as a blank "Elective" placeholder in the scheme above, same as the institutional scheme's own elective slots. Doesn't count toward any requirement's credit total; see "Recommended electives" below for options to fill it with.
Recommended electives
Reference list of good elective options for this plan's open elective slots above -- purely informational, not tied to a specific slot and not counted toward any requirement's credit total. A recommendation with a quarter also appears in its own "Recommended electives" block in the Scheme above, right after Year 1 and Year 2.
| Recommendation | Quarter | |
|---|---|---|
| 2AMU20 — Generative AI Models | Q4 | |
| 2AMU30 — Uncertainty Representations and Reasoning | Q1 | |
| 2DD23 — Time Series & Forecasting | Q3 | |
| 2MMS80 Statistical Learning Theory (AI Fundamentals Core course; not part of CSE's own catalogue) | Q3 | |
| 2MMA80 Mathematics of Neural Networks (AI Fundamentals Specialization Elective; not part of CSE's own catalogue) | Q2 | |
| 2MMS50 Stochastic Decision Theory (AI Fundamentals Specialization Elective; not part of CSE's own catalogue) | Q4 | |
| 2MMA70 Differential Geometry for Image Processing (AI Fundamentals Specialization Elective; not part of CSE's own catalogue) | Q1 | |
| 2AMM20 Research Topics in Data Mining (AI Fundamentals Specialization Elective; not part of CSE's own catalogue) | Q1 | |
| 2AMM40 Advanced Topics in Artificial Intelligence (AI Fundamentals Specialization Elective; not part of CSE's own catalogue) | Q1 | |
| 2MMA15 Functional Analysis (AI Fundamentals Specialization Elective; not part of CSE's own catalogue) | Q2 | |
| 2MET10 Machine Learning for Scientific Computing and Numerical Analysis (AI Fundamentals Specialization Elective; not part of CSE's own catalogue) | Q3 | |
| 2IMN30 Machine Learning for Industry (AI Fundamentals Specialization Elective; dropped from CSE's own 2027-2028 elective pool) | Q3 | |
| 5SC28 Machine learning for systems and control (AI Fundamentals Specialization Elective; an Electrical Engineering course, not part of CSE's own catalogue) | Q4 |