BS Artificial Intelligence – BS(AI)

Bachelor of Science in Artificial Intelligence.

The BS Artificial Intelligence (AI) program is a 4-year degree designed to equip students with the expertise required to develop cutting-edge AI solutions for real-world challenges. This program provides a comprehensive understanding of how to analyze complex problems and transform them into actionable decisions using advanced AI techniques.

The curriculum focuses on the integration of computing, mathematics, and AI-specific domains such as machine learning, natural language processing, vision systems, neural networks, and symbolic computation. Students will gain proficiency in computational modeling, knowledge representation, and automated reasoning, enabling them to tackle diverse problems in areas such as agriculture, healthcare, finance, governance, and more.

At Mohammad Ali Jinnah University, the program emphasizes a hands-on approach to learning through case studies, research projects, and access to state-of-the-art AI labs. Students will also explore the ethical implications of AI, ensuring they graduate with the knowledge and responsibility to apply AI for societal benefit.

Our active learning model combines lectures, workshops, and project-based learning to foster a collaborative environment akin to the modern tech industry. This program prepares graduates for high-demand roles in AI development, research, and innovation, empowering them to create transformative solutions that shape the future.

Career prospects

A degree in BS Artificial Intelligence from Mohammad Ali Jinnah University opens the door to a wide range of dynamic and high-demand career opportunities, including:

  • AI Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Natural Language Processing Specialist
  • Computer Vision Engineer
  • Robotics Engineer
  • Big Data Analyst
  • AI Research Scientist
  • Automation Engineer
  • Business Intelligence Developer
  • AI Ethics Consultant
  • Predictive Modeler

Eligibility Criteria, Duration of the Program & Award of Degree:

  • Minimum 60% marks in Intermediate/12 years schooling/A- Level (HSSC) or Equivalent with Mathematics are required for admission in BS Artificial Intelligence
  • The students who have not studied Mathematics at intermediate level have to pass deficiency courses of Mathematics (06 credits) in first two semesters.
  • At minimum 132 credit hours are required for award of BS degree in Artificial Intelligence.
  • The minimum duration for completion of BS(AI) is four years. The HEC allows maximum period of seven years to complete BS degree requirements.
  • A minimum 2.0 CGPA (Cumulative Grade Point Average) on a scale of 4.0 is required for award of Degree.

Program Educational Objectives (PEOs):

PEO-1 To have a comprehensive foundation in AI, computing, and related disciplines, ensuring a well-rounded grasp of essential knowledge and skills
PEO-2 To contribute effectively within the industry, showcasing expertise in AI-driven systems and associated fields.
PEO-3 To demonstrate a commitment to ethical AI practices, community engagement and positive societal impact.

Program Learning Outcomes

PLO-1 Knowledge An ability to apply knowledge of mathematics, science, computing fundamentals, and computing specialization to the solution of complex computing problems.
PLO-2 Problem Analysis An ability to identify, formulate, research literature, analyze complex computer science problems, reaching substantiated conclusions using principles of mathematics, natural sciences, and computer sciences.
PLO-3 System Design An ability to design solutions for complex computer science problems and design systems, component or processes that meet specialized needs while maintaining computing standards, cultural, societal, and environmental considerations.
PLO-4 Investigation An ability to investigate complex computer science problems in a methodical way including literature survey, design and development of systems, analysis and interpretation of computational data, and synthesis of information to derive valid conclusions.
PLO-5 Computing Tool Usage An ability to create, select and apply appropriate techniques, resources, and modern IT tools, including prediction and modeling, to complex computer science activities, with an understanding of the limitations.
PLO-6 Impact Analysis An ability to apply reasoning informed by contextual knowledge to assess societal, legal, and cultural issues and the consequent responsibilities relevant to professional computer science practice and solution to complex computer science problems.
PLO-7 Management Skills An ability to demonstrate management skills and apply computing principles to one’s own work, as a member and/or leader in a team, to manage projects in a multidisciplinary environment.
PLO-8 Teamwork An ability to work effectively, as an individual or in a team, on multifaceted and /or multidisciplinary settings.
PLO-9 Ethics Apply ethical principles and commit to professional ethics and responsibilities and norms of computing practice.
PLO-10 Communication An ability to communicate effectively, orally as well as in writing, on complex computing activities with the computing community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PLO-11 Lifelong Learning An ability to recognize importance of and pursue lifelong learning in the broader context of innovation and technological developments.

Essential Requirements for the Artificial Intelligence Degree:

The following are the fundamental requirements to get admission and complete an Artificial Intelligence degree at Muhammad Ali Jinnah University, Karachi, Pakistan.

Category Details
Eligibility Minimum 50% marks in Intermediate/12 years schooling/A- Level (HSSC) or Equivalent with Mathematics are required for admission in the BS Artificial Intelligence Program.

An equivalency certificate by IBCC will be required in case of education from some other country or system.

The students who have not studied Mathematics at the intermediate level must pass deficiency Mathematics courses (06 credits) in the first two semesters.
Selection Criteria Entry test and interview
Program Duration –  4 years (8 regular semesters)                Fall & Spring

– Summer semester for internship or deficiency courses only
Maximum Duration –          7 years
Degree Requirements – Complete at least 132 credit hours

– Minimum CGPA of 2.0 out of 4.0
Total Credit Hours 132

*138 Credit hours are required for non-mathematics background.
Definition of Credit Hour: –          1 contact hour of theory or 3 contact hours of lab.
Deficiencies –          6 credit hours (for students without a mathematics background)
Deficiency Courses – Basic Maths-I

– Basic Maths-II
Final Year Project –          Mandatory for all students.

–          Eligible to register after the 6th semester or after completing 95 credit hours of coursework.
Internship –          Mandatory 6–8-week internship arranged by the placement office.

–          The internship is normally taken after passing 60 credit hours.

Generic Structure for Artificial Intelligence Discipline:

Areas Credit Hours Courses
Computing Core 45 12
Domain Core 18 6
Domain Elective 21 7
General Electives +I 42 16
Final Year Project 6  
Totals 132 41

Domain Electives:

A minimum enrollment is required to offer an elective course; courses with insufficient registration may be canceled or deferred to a later term. The list of available domain electives is provided below.

  • Deep Learning
  • Software Re-Engineering
  • Web Engineering
  • Agile Software Project Management
  • Cyber Security
  • Mobile Application Development
  • Cloud Computing
  • Introduction to Data Science
  • Software Testing and Quality Assurance
  • Developer Operations
  • Internet of Things
  • Digital Image Processing
  • Game Programming
  • Natural Language Processing
  • Computer Vision
Plan of Study BS – Artificial Intelligence
Semester – 1
Course Code Course Title Credit Hours Course Type Pre-Requisite
CS1260 Applications of Information and Communication Technologies 2 GE
CS1261 Applications of Information and Communication Technologies Lab 1 GE
MT1140 Calculus and Analytical Geometry 3 GE
CS1410 Computer Programming 3 CC
CS1411 Computer Programming Lab 1 CC
SS1410 Ethics 2 A
SS1100 Functional English 3 GE
SS1400 Islamic Studies 2 GE
15
*Ethics is for Non-Muslim students.
Semester – 2
Course Code Course Title Credit Hours Course Type Pre-Requisite
NS1240 Applied Physics 2 GE
NS1241 Applied Physics Lab 1 GE
CS2620 Discrete Structures 3 GE
SS1180 Expository Writing 3 GE
CS1420 Object Oriented Programming 3 CC CS1410
CS1421 Object-Oriented Programming Lab 1 CC CS1411
SS1420 Pakistan Studies 2 GE
15
Semester – 3
Course Code Course Title Credit Hours Course Type Pre-Requisite
CS2510 Data Structures and Algorithms 3 CC CS1420
CS2511 Data Structures and Algorithms Lab 1 CC CS1421
CS3210 Data Communications & Networking 3 CC
CS3211 Data Communications & Networking Lab 1 CC
CS4310 Information & Network Security 3 CC
SS2300 Principles of Psychology 2 GE
SS2440 Professional Practices 2 GE
CS3110 Software Engineering 3 CC
18
Semester – 4
Course Code Course Title Credit Hours Course Type Pre-Requisite
CS2230 Database Management Systems 3 CC
CS2231 Database Management Systems Lab 1 CC
CS3520 Design and Analysis of Algorithms 3 CC CS2510
CS1230 Digital Logic Design 3 CC
CS1231 Digital Logic Design Lab 1 CC
MG4700 Entrepreneurship 2 GE
Ethics and Social Responsibilities 2 GE
CS4340 Digital Image Processing 3 DC
18
Semester – 5
Course Code Course Title Credit Hours Course Type Pre-Requisite
 CS3310 Artificial Intelligence 3 CC
 CS3311 Artificial Intelligence Lab 1 CC
 CS2210 Computer Organization and Assembly Language 3 CC CS1230
 CS2211 Computer Organization and Assembly Language Lab 1 CC CS1231
Multivariable Calculus 3 I MT1140
Knowledge Representation and Reasoning 3 DC
 CS4701 Introduction to Data Science 3 DC
17
Semester – 6
Course Code Course Title Credit Hours Course Type Pre-Requisite
CSXXX Domain Elective 1 3 DE
CS3220 Operating System 3 CC
CS3221 Operating System Lab 1 CC
 MT2300 Probability and Statistics 3 I
CS4640 Introduction to Machine Learning 3 DC
SS3130 Technical Report Writing 3 I SS1100
16
Semester – 7
Course Code Course Title Credit Hours Course Type Pre-Requisite
 CSXXX Domain Elective 2 3 DE
 CSXXX Domain Elective 3 3 DE
 CSXXX Domain Elective 4 3 DE
 CS4150 Final Year Project-I 3 CP
 MT2210 Linear Algebra 3 I MT1140
 CS3230 Parallel and Distributed Computing 3 DC CS3220
18
Semester – 8
Course Code Course Title Credit Hours Course Type Comment
 CSXXX Domain Elective 5 3 DE
 CSXXX Domain Elective 6 3 DE
 CSXXX Domain Elective 7 3 DE
 CS4160 Final Year Project-II 3 CP CS4150
Deep Learning 3 DC
15
Plan of Study BS – Artificial Intelligence (For Pre-Medical)
Semester – 1
Course Code Course Title Credit Hours Course Type Pre-Requisite
CS1260 Applications of Information and Communication Technologies 2 GE
CS1261 Applications of Information and Communication Technologies Lab 1 GE
 MT1150 Basic Maths -I 3 D
MT1160 Basic Maths – II 3 D
CS1410 Computer Programming 3 CC
CS1411 Computer Programming Lab 1 CC
SS1410 Ethics 2 A
SS1100 Functional English 3 GE
SS1400 Islamic Studies 2 GE
18
*Ethics is for Non-Muslim students.
Semester – 2
Course Code Course Title Credit Hours Course Type Pre-Requisite
NS1240 Applied Physics 2 GE
NS1241 Applied Physics Lab 1 GE
MT1140 Calculus and Analytical Geometry 3 GE
  CS2620 Discrete Structures 3 GE
  SS1180 Expository Writing 3 GE
CS1420 Object Oriented Programming 3 CC CS1410
CS1421 Object-Oriented Programming Lab 1 CC CS1411
SS1420 Pakistan Studies 2 GE
18
Semester – 3
Course Code Course Title Credit Hours Course Type Pre-Requisite
CS2510 Data Structures and Algorithms 3 CC CS1420
CS2511 Data Structures and Algorithms Lab 1 CC CS1421
CS3210 Data Communications & Networking 3 CC
CS3211 Data Communications & Networking Lab 1 CC
CS4310 Information & Network Security 3 CC
SS2300 Principles of Psychology 2 GE
SS2440 Professional Practices 2 GE
  CS3110 Software Engineering 3 CC
18
Semester – 4
Course Code Course Title Credit Hours Course Type Pre-Requisite
CS2230 Database Management Systems 3 CC
CS2231 Database Management Systems Lab 1 CC
CS3520 Design and Analysis of Algorithms 3 CC CS2510
CS1230 Digital Logic Design 3 CC
CS1231 Digital Logic Design Lab 1 CC
MG4700 Entrepreneurship 2 GE
Ethics and Social Responsibilities 2 GE
CS4340 Digital Image Processing 3 DC
18
Semester – 5
Course Code Course Title Credit Hours Course Type Pre-Requisite
CS3310 Artificial Intelligence 3 CC
CS3311 Artificial Intelligence Lab 1 CC
CS2210 Computer Organization and Assembly Language 3 CC CS1230
CS2211 Computer Organization and Assembly Language Lab 1 CC CS1231
Multivariable Calculus 3 I MT1140
Knowledge Representation and Reasoning 3 DC
CS4701 Introduction to Data Science 3 DC
17
Semester – 6
Course Code Course Title Credit Hours Course Type Pre-Requisite
CSXXX Domain Elective 1 3 DE
CS3220 Operating System 3 CC
CS3221 Operating System Lab 1 CC
 MT2300 Probability and Statistics 3 I
CS4640 Introduction to Machine Learning 3 DC
SS3130 Technical Report Writing 3 I SS1100
16
Semester – 7
Course Code Course Title Credit Hours Course Type Pre-Requisite
 CSXXX Domain Elective 2 3 DE
 CSXXX Domain Elective 3 3 DE
 CSXXX Domain Elective 4 3 DE
 CS4150 Final Year Project-I 3 CP
 MT2210 Linear Algebra 3 I MT1140
 CS3230 Parallel and Distributed Computing 3 DC CS3220
18
Semester – 8
Course Code Course Title Credit Hours Course Type Comment
 CSXXX Domain Elective 5 3 DE
 CSXXX Domain Elective 6 3 DE
 CSXXX Domain Elective 7 3 DE
 CS4160 Final Year Project-II 3 CP CS4150
Deep Learning 3 DC
15