BS Artificial Intelligence

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 50% 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

Sr. #	Learning Objective	Statement
PLO-1	Academic Education	To prepare graduates as computing professionals.
PLO-2	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.
PLO-3	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.
PLO-4	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.
PLO-5	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.
PLO-6	Individual and Team Work	Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings
PLO-7	Communication	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.
PLO-8	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.
PLO-9	Ethics	Apply ethical principles and commit to professional ethics and responsibilities and norms of computing practice.
PLO-10	Lifelong Learning	An ability to recognize importance 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 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
Definition of Credit Hour:	– 1 contact hour of theory or 3 contact hours of lab.
Deficiencies	– For Pre-Medical students
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. – The internship is normally taken after passing 60 credit hours.

Generic Structure for Artificial Intelligence Discipline:

*Areas*	*Credit Hours*	*Courses*
*General Education Courses*	35	15
*Core Courses*	59	17
*Specialization Electives*	15	5
*Professional Certification*	3	–
*Interdisciplinary Courses*	11	4
*Field Experience/Internship*	3	–
*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
CS1260	Applications of Information and Communication Technologies	2	GE
CS1261	Applications of Information and Communication Technologies Lab	1	GE
MT1140	Calculus and Analytical Geometry – IDS 1	3	IDS
CS1410	Computer Programming	3	CC
CS1411	Computer Programming Lab	1	CC
SS1410	Ethics	2	A
SS1160	Functional English	3	GE
SS1400	Islamic Studies	2	GE
Total Credit Hours		15
*Ethics is for Non-Muslim background

Semester – 2

Course Code	Course Title	Credit Hours	Course Type	Pre-Requisite
NS1240	Applied Physics	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
SS1230	Fehm-e-Quran-I	1	GE
Total Credit Hours		16

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
CS4163	Computer Networks	3	CC
CS4350	Information Security	3	CC
SS2300	Positive Psychology	2	GE
SS2440	Professional Practice- IDS-2	2	IDS
CS3110	Software Engineering	3	CC
	Fehm-e-Quran-II	1	GE	SS1230
Total Credit Hours		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
SS2450	Civics and Community Engagement	2	GE
SS2250	Ideology and Constitution of Pakistan	2	GE
Total Credit Hours		17

Semester – 5

Course Code	Course Title	Credit Hours	Course Type	Pre-Requisite
MT2300	Probability and Statistics	3	GE
CS3220	Operating System	3	CC
CS3221	Operating System Lab	1	CC
CS3530	Computer Organization and Architecture	3	CC	CS1230
CS3531	Computer Organization and Architecture Lab	1	CC	CS1231
MG4340	Organizational Behavior- IDS-3	3	IDS
CS4340	Digital Image Processing	3	DC
Total Credit Hours		17

Semester – 6

Course Code	Course Title	Credit Hours	Course Type	Pre-Requisite
CS3310	Artificial Intelligence	3	CC
CS3311	Artificial Intelligence Lab	1	CC
	Domain Elective-I	3	DE
MT2210	Linear Algebra – IDS 4	3	IDS	MT1140
	Knowledge Representation and Reasoning	3	DC
CS4701	Introduction to Data Science	3	DC
SS3130	Technical Report Writing	3	GE	SS1100
Total Credit Hours		19

Semester – 7

Course Code	Course Title	Credit Hours	Course Type
	Domain Elective-II	3	DE
CSXXX	Domain Elective-III	3	DE
CS4640	Introduction to Machine Learning	3	DC
CS4150	Final Year Project-I	3	CP
	Professional Certification /Elective	3	Certification
Total Credit Hours		15

Semester – 8

Course Code	Course Title	Credit Hours	Course Type	Pre-Requisite
CSXXX	Domain Elective-IV	3	DE
CSXXX	Domain Elective-V	3	DE
	Deep Learning	3	DC
CS4160	Final Year Project-II	3	CP	CS4150
	Field Experience	3	Field Experience
Total Credit Hours		15

Plan of Study BS – Artificial Intelligence (Pre-Medical)