The subjects in the curriculum of the M.Sc Artificial Intelligence has a blend of theoretical and practical subjects, the subjects of the course are listed below:
| M.Sc in Artificial Intelligence Subjects | |
| Semester I | |
| SI No | Subjects |
| 1 | Advanced Engineering Math |
| 2 | Algorithm & Logic Design |
| 3 | Parallel Computing |
| 4 | Soft Computing |
| 5 | Language & Automata Theory |
| 6 | C Programming |
| 7 | Neural Network Lab |
| M.Sc in Artificial Intelligence Subjects | |
| Semester II | |
| SI No | Subjects |
| 1 | Advanced Statistics |
| 2 | Advanced-Data Structure |
| 3 | Robot Motion Planning |
| 4 | Computer Graphics & Animation |
| 5 | Object-Oriented Programming in JAVA |
| 6 | OOP through JAVA |
| 7 | Robotics Lab |
| M.Sc in Artificial Intelligence Subjects | |
| Semester III | |
| SI No | Subjects |
| 1 | Image Processing |
| 2 | Machine Learning |
| 3 | Operation Research |
| 4 | Modeling & Simulation |
| 5 | Cloud Computing |
| 6 | Advanced-Data Structure Programming |
| 7 | Practical on Machine Learning |
| M.Sc in Artificial Intelligence Subjects | |
| Semester IV | |
| SI No | Subjects |
| 1 | Project |
The syllabus followed in the curriculum of M.Sc Artificial Intelligence is listed below:
| M.Sc Artificial Intelligence Syllabus | |
| Semester I | |
| SI No | Syllabus |
| 1 | Artificial intelligence fundamentals |
| 2 | Machine learning |
| 3 | Human languages technologies |
| 4 | Distributed systems: paradigms and models |
| M.Sc Artificial Intelligence Syllabus | |
| Semester II | |
| SI No | Syllabus |
| 1 | Intelligent systems for pattern recognition |
| 2 | Smart applications |
| 3 | Computational mathematics for learning and data analysis |
| 4 | Algorithm engineering |
| M.Sc Artificial Intelligence Syllabus | |
| Semester IV | |
| SI No | Syllabus |
| 1 | Social and ethical issues in computer technology |
| 2 | Robotics |
| 3 | Semantic web |
| 4 | Cloud Computing |
| 5 | Discrete Event Simulation |
