| This is a program. |
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes |
| Courses |
| ARI5001 Principles of Artificial Intelligence |
| ARI5002 Optimization for Artificial Intelligence |
| BUS5301 Research Methods and Ethics |
| CMP5887 Seminar |
| CMP5888-1 Master Thesis |
| CMP5888-2 Master Thesis |
| GE-Elective |
|
|
| 1. Semester | |||||||
| Course Code | Course Name | Prerequisites | Theoretical | Practical | Credit | ECTS | |
| ARI5001 | Principles of Artificial Intelligence | 3 | 0 | 3 | 8 | ||
| BUS5301 | Research Methods and Ethics | 3 | 0 | 3 | 9 | ||
| Departmental Elective | 3 | 7 | |||||
| Departmental Elective | 3 | 6 | |||||
| Total | 30 | ||||||
| 2. Semester | |||||||
| Course Code | Course Name | Prerequisites | Theoretical | Practical | Credit | ECTS | |
| ARI5002 | Optimization for Artificial Intelligence | 3 | 0 | 3 | 8 | ||
| Departmental Elective | 3 | 7 | |||||
| Departmental Elective | 3 | 8 | |||||
| Departmental Elective | 3 | 7 | |||||
| Total | 30 | ||||||
| 3. Semester | |||||||
| Course Code | Course Name | Prerequisites | Theoretical | Practical | Credit | ECTS | |
| CMP5887 | Seminar | ☑ | 0 | 0 | 0 | 10 | |
| CMP5888-1 | Master Thesis | 0 | 0 | 0 | 20 | ||
| Total | 30 | ||||||
| 4. Semester | |||||||
| Course Code | Course Name | Prerequisites | Theoretical | Practical | Credit | ECTS | |
| CMP5888-2 | Master Thesis | ☑ | 0 | 0 | 0 | 30 | |
| Total | 30 | ||||||