Bachelor of Science (Artificial Intelligence)

Program Info (  Eligibility Criteria  )
Award of Degree

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

  • Passed courses with a total of at least 133 credit hours, including all those courses that have been specified as core courses
  • Obtained a CGPA of at least 2.00
Tentative Study Plan
Sr. No Course Name Crdt Hrs.
Semester 1
1 CL1001 Introduction to Information and Communication Technology 0+1
2 CS1002 Programming Fundamentals 3+1
3 NS1001 Applied Physics 3+0
4 MT1003 Calculus and Analytical Geometry 3+0
5 SS1012 Functional English 2+1
6 SS1013 Ideology and Constitution of Pakistan 2+0
Total 13 + 3
Sr. No Course Name Crdt Hrs.
Semester 2
1 CS1004 Object Oriented Programming 3+1
2 EE1005 Digital Logic Design 3+1
3 MT1006 Multivariable Calculus 3+0
4 SS1007 Islamic Studies/ Ethics 2+0
5 SS1014 Expository Writing 2+1
Total 13 + 3
Sr. No Course Name Crdt Hrs.
Semester 3
1 CS2001 Data Structures 3+1
2 MT1004 Linear Algebra 3+0
3 AI2001 Programming for Artificial Intelligence 3+1
4 CS1005 Discrete Structures 3+0
5 MT2005 Probability and Statistics 3+0
6 SSxxxx Computing Internship 0+1
Total 15 + 3
Sr. No Course Name Crdt Hrs.
Semester 4
1 CS2005 Database Systems 3+1
2 AI2002 Artificial Intelligence 3+1
3 EE2003 Computer Organization and Assembly Language 3+1
4 CS2004 Fundamentals of Software Engineering 3+0
5 SS/MG Elective - I 2+0
6 SS3002 Civics and Community Engagement 2+0
Total 16 + 3
Sr. No Course Name Crdt Hrs.
Semester 5
1 AI3002 Machine Learning 3+1
2 AI3001 Knowledge Representation & Reasoning 3+0
3 CS2006 Operating Systems 3+1
4 CS2004 Design and Analysis of Algorithms 3+0
5 SS2007 Technical and Business Writing 3+0
Total 15 + 2
Sr. No Course Name Crdt Hrs.
Semester 6
1 AI3003 Artificial Neural Networks 3+0
2 AI3001 Parallel & Distributed Computing 3+0
3 CS3001 Computer Networks 3+1
4 AIxxxx AI Elective - I 3+0
5 AIxxxx AI Elective - II 3+0
Total 15 + 1
Sr. No Course Name Crdt Hrs.
Semester 7
1 AI4091 Final Year Project – I 0+3
2 AI4002 Computer Vision 3+1
3 AIxxxx AI Elective - III 3+0
4 AIxxxx AI Elective - IV 3+0
5 SS/MG Elective - II 3+0
Total 12 + 4
Sr. No Course Name Crdt Hrs.
Semester 8
1 AI4092 Final Year Project – II 0+3
2 CS3002 Information Security 3+0
3 CS3002 Entrepreneurship 3+0
4 CS4001 Professional Practices 3+0
5 AIxxxx AI Elective - V 3+0
Total 12 + 3
Domain Cr. Hrs
Computing Core 52
General Education 30
Maths and Supporting Courses 12
Domain Core 21
Domain Elective 15
Elective Supportive Courses 3
Total 133

Note 1: Total: 133

Note 2: Registration in “Project-I” is allowed provided the student has earned at least 94 credit hours, and his/her CGPA is equal to or greater than the graduating CGPA (2.0).

Program Educational Objectives (PEO)

  1. Knowledge of the fundamentals of Computing and Artificial Intelligence - A graduate who is performing his/her professional roles with understanding of fundamental knowledge of computing and artificial intelligence acquired during his studies.
  2. Ethical and Societal Responsibilities - A graduate who is fulfilling his/her professional responsibilities taking into account ethical and societal concerns with special emphasis on artificial intelligence and its applications.
  3. Communication Skills - A graduate who is effective in oral and written communication of technical and managerial information.
  4. Leadership - A graduate who is effective in a leadership role of a group/team assigned to him/her or in an entrepreneurial environment.
  5. Continuous Improvement - A graduate who keeps on exploring new fields and areas in computing and artificial intelligence for his/her organization or conducts research for academic pursuits.

Program Learning Outcomes (PLOs)


Academic Education

Completion of an accredited program (BS AI) of study designed to prepare graduates as computing professionals


Knowledge for Solving Computing Problems

Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements


Problem Analysis

Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines


Design/ Development of Solutions

Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations


Modern Tool Usage

Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations


Individual and Team Work

Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings



Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions


Computing Professionalism and Society

Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice



Understand and commit to professional ethics, responsibilities, and norms of professional computing practice


Life-long Learning

Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional