Master of Science (Computational Intelligence)


Program Info (  Eligibility Criteria  )

Program Mission:
The mission of the Master of Science (Computational Intelligence) is to equip students with advanced theoretical knowledge and practical skills in machine learning, deep learning, and computational intelligence techniques. The program aims to foster innovative research, ethical problem-solving, and interdisciplinary collaboration, preparing graduates to address complex computational challenges in industry and academia.

Career Opportunities:
  1. To prepare students to design and manage complex computational intelligence (CI) projects by formulating strategies and handling uncertainties in intelligent systems.
  2. To guide students in identifying, documenting, and negotiating change management for CI project scopes to achieve optimal outcomes.
  3. To prepare students for robust configuration management of large-scale intelligent software environments.
  4. To empower students to prioritize and schedule CI solution releases by performing precise resource and performance estimation.
  5. To train students to detect and resolve conflicts that emerge during the life cycle of CI projects, ensuring smooth execution.

Program Structure:
Foundation courses have been included which will allow students to acquire skills in the computing field. The program is spanned over 4 semesters and included 44 CH:

Award of Degree:

For the award of Master of Science (Computational Intelligence) degree, a student must have:

  • Passed courses totaling at least 44 credit hours, including core courses.
  • Earned CGPA of at least 2.50
Tentative Study Plan
Sr. No Course Name Crdt Hrs.
Semester 1
1 Programming for AI (Python) 3+0
2 Data Structures & Algorithms 3+0
3 Mathematics for Computational Intelligence 3+0
4 Database and Operating Systems 3+0
Total 12 + 0
Sr. No Course Name Crdt Hrs.
Semester 2
1 Advanced Machine Learning 3+0
2 Applied Computational Intelligence 3+0
3 Research Methodology 3+0
4 SS1022 Understanding of Holy Quran – I 1+0
Total 10 + 0
Sr. No Course Name Crdt Hrs.
Semester 3
1 Deep Learning 3+0
2 Elective – I 3+0
3 Elective – II 3+0
4 Thesis – I 0+3
Total 9 + 3
Sr. No Course Name Crdt Hrs.
Semester 4
1 Elective - III 3+0
2 Elective - IV 3+0
3 Thesis - II 0+3
4 Understanding of Holy Quran - II 1+0
Total 7 + 3

Note 1: Registration in ‘MS Thesis-I/Project-I/Practicum-I’ shall be allowed provided the student has

  • Earned at least 21 credits
  • Passed the “Research Methodology” course AND
  • CGPA is equal to or more than 2.50