Master of Science (Artificial Intelligence)

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Program Info (  Eligibility Criteria  )

Program Mission:
To produce competent and well – round professionals capable of Appling Master of Science (Artificial Intelligence) and Data Science to solve real - life problems.

Career Opportunities:

The Master of Science (Artificial Intelligence) comprises of both course work as well as research components. There are three core courses aimed at strengthening the understanding and competence of students in Artificial Intelligence fundamentals. The university expects its Master of Science (Artificial Intelligence) graduates to pursue careers as Al experts in either academia or industry.

Program Learning Outcomes:
  1. Create autonomous system/agents for solving complex real – world problems.
  2. Apply the tools and techniques to make a strategically important impact on industry and society.
  3. Pursue doctoral studies within the domain of Artificial Intelligence at top – ranked institutes of the world.
  4. Take a leadership role in both AI academia and industry.
  5. Students shall have the ability to make effective oral and written presentations on technical topics.

The following three courses or equivalent are prerequisites for starting Master of Science (Artificial Intelligence) coursework:

  1. Object oriented programming
  2. Data Structures and Algorithms
  3. Artificial Intelligence
Award of Degree:

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

  • Passed courses totaling at least 30 credit hours, including core courses.
  • Earned CGPA of at least 2.50
Tentative Study Plan
Sr. No Course Name Crdt Hrs.
Semester 1
1 AI5001 Advanced Artificial Intelligence 3+0
2 CS4002 Applied Programming1 NC
3 AI5002 Mathematical Foundations of Artificial Intelligence 3+0
4 General Elective (Computing/Management Sciences) 3+0
Sr. No Course Name Crdt Hrs.
Semester 2
1 AI5003 Advanced Machine Learning 3+0
2 CS5001 Research Methodology 3+0
3 Computing Elective-I 3+0
Sr. No Course Name Crdt Hrs.
Semester 3
1 Computing Elective-II 3+0
2 MS Thesis-I/MS Project-I 0+3
Sr. No Course Name Crdt Hrs.
Semester 4
1 Computing Elective-III 3+0
2 MS Thesis-II/MS Project-II 0+3

Note 1: Applied Programming is an NC course, which must be cleared during the first semester. The course may be exempted based on good performance in admission test.

Note 2: Registration in “MS Thesis-I//Project-I” is allowed provided the student has:

  • Earned at least 15 credits
  • Passed the “Research Methodology” course AND
  • CGPA is equal to or more than 2.50

Program Educational Objectives (PEO)

  1. To produce professionals who fulfil the requirements of the national and international market of artificial intelligence products.
  2. To equip students to transform data into actionable insights that enable them to make intelligent business decisions.
  3. To enable students to apply computational, statistical, and machine learning techniques to process large and complex data sets.
  4. To enable students to conceive and execute artificial intelligence projects.