MS Artificial Intelligence

Program Information

The MS in Artificial Intelligence is a graduate program designed to meet the global demand for skilled AI professionals. It provides advanced knowledge and practical research skills in machine learning, NLP, computer vision, and robotics, preparing students to solve real-world problems in healthcare, finance, transportation, and more. The program follows an Outcome-Based Education model and emphasizes ethical AI and industry collaboration.

Program Duration: The Master of Science in Artificial Intelligence is a 30-credit-hour program designed for completion in three semesters. Coursework is concentrated in the first two semesters, with the final semester dedicated to the research thesis. The program can be completed in a minimum of 1.5 years, with a maximum allowable duration of 4 years. Courses are offered for both the Fall and Spring semesters.

Program Outline

Each candidate is required to successfully complete 30 credit hours with a minimum CGPA of 2.5 on a scale of 4.0.

Sr. No.	Category	Cr. Hrs.
a)	Core Courses	12
b)	Elective Courses	12
c)	Thesis	6

a) Core Courses (12 Cr. Hrs.)

Course Name	Cr. Hrs.
Techniques in Artificial Intelligence	3
Machine Learning	3
Mathematical Foundation of AI	3
Research Methodology	3

Elective Courses (12 Cr. Hrs.)

Following is a non-exhaustive list of elective courses. New elective courses may be added to this list. Students may be recommended to make their choice of electives in the light of a soft specialization within the field of Artificial Intelligence.

Course Name	Cr. Hrs.
Advance Data Mining	3
Advanced Human-Computer Interaction	3
Applied Image Processing	3
Biomedical Signal and Image Processing	3
Computational Intelligence	3
Convex Optimization	3
Expert Systems	3
Fuzzy Systems	3
Natural Language Processing	3
Pattern Recognition	3
Stochastic Processes	3

c) Research Thesis

After the completion of 24 Cr. Hr., the students are required to demonstrate their research skills in the field of Artificial intelligence by completing the requirements of the thesis which is worth 06 Cr. Hrs.

Course Name	Cr. Hrs.
MS Thesis	6

Eligibility Criteria

At least 2.00/4.00 CGPA or 50% marks from an annual system in BS Computer Science, Artificial Intelligence, Data Science, Information Technology, Software Engineering or equivalent.

Selection Criteria

Weightage of Previous Academics	Weightage of Admission Test	Weightage of the Interview	Total
20%	50%	30%	100%

Fee Structure with Scholarship

Program Name: MS Artificial Intelligence

Admission Fee: 28,000

Per Credit Hour Fee	1st Sem Total Fee	1st Installment	1st Installment with 25% Scholarship	1st Installment with 30% Scholarship	1st Installment with 50% Scholarship	1st Installment with 75% Scholarship	Total Credit Hours	Total Fees (Incl Admission Fees)
15,000	163,000	95,500	78,625	75,250	61,750	44,875	30	478,000

Tentative Study Road Map

Semester I (12 Cr. Hrs.)

Sr. No.	Course Title	Cr. Hrs.	Type
1	Core Course – I	03	Core
2	Core Course – II	03	Core
3	Elective – I	03	Domain Elective
4	Elective – II	03	Domain Elective

Semester II (12 Cr. Hrs.)

Sr. No.	Course Title	Cr. Hrs.	Type
1	Core Course – III	03	Core
2	Core Course – IV	03	Core
3	Elective – III	03	Domain Elective
4	Elective – IV	03	Domain Elective

Semester III (06 Cr. Hrs.)

Sr. No.	Course Title	Cr. Hrs.	Type
1	MS Thesis	06	Thesis

Career Opportunities

Graduates are prepared for advanced roles in:

AI/ML Engineering, Data Science, and Analytics
Computer Vision, NLP, and Robotics
AI application sectors: Healthcare, Agritech, FinTech, and Transportation
AI Research & Development, Product Development, and AI Ethics & Governance
Academic and doctoral research pathways.

Criteria for Award of Degree

To qualify for the award of the MS Artificial Intelligence degree, a student must successfully complete the prescribed degree requirements, including 24 credit hours of coursework and 6 credit hours of thesis. Overall, each candidate is required to complete a total of 30 credit hours with a minimum CGPA of 2.5 out of 4.0.