STRUCTURE OF MSAI PROGRAMME

Course Types No. of Courses Cumulative Credit Hours
Core Courses 3 9
Compulsory Course 1 3
Elective 4 12
Thesis 2 6
Total 10 30

Core Courses (9 Credit Hours)

Course Code Title Credit Hours
AIC7103 Advanced Artificial Intelligence 3-0-3
CSE7202 Advanced Machine Learning 3-0-3
AIE7204 Mathematical Methods for AI 3-0-3
Total 9

Compulsory Course (3 Credit Hours)

Course Code Title Credit Hours
CC7101 Research Methodology 3-0-3
Total 3

Elective Courses (12 Credit Hours)

Course Code Title Credit Hours
AIE7201 Philosophy of Artificial Intelligence 3-0-3
DSS7202 Deep Learning 3-0-3
AIE7202 Multi-Agent Systems 3-0-3
AIE7203 Advanced Topics in Cognitive Science 3-0-3
AIE7204 Optimization Techniques 3-0-3
AIE7205 Advanced Topics in Artificial Intelligence 3-0-3
AIE7206 Advance Natural Language Processing 3-0-3
AIE7207 Experimentation in Psychology and Linguistics 3-0-3
AIE7208 Commonsense Reasoning and Argumentation 3-0-3
AIE7209 Game Theory 3-0-3
ITE7261 Data Mining 3-0-3
AIE7210 Mobile Robotics 3-0-3
AIE7211 Digital Forensics 3-0-3
AIE7212 Intelligent Robots 3-0-3
AIE7213 Cybernetics 3-0-3
CSE7203 Advanced Image Processing 3-0-3
AIE7214 Computer Vision 3-0-3
AIE7401 Thesis (Partial registration) – I 3-0-3
AIE7402 Thesis (Partial registration) – II 3-0-3

Note: The list of elective courses can be extended.

Research Work/Thesis (6 Credit Hours)
Registration in “MS Thesis – I” is allowed provided the student has:

  1. Earned at least 18 credits
  2. Passed the “Research Methodology” course; AND
  3. CGPA is equal to or more than 2.