info@suit.edu.pk +92-91-5230931
Conference
Distance learning program

Bachelor of Science in Artificial Intelligence

Department of Computer Science & IT
4 years 8 semesters 137 credit hours Maximum 6 years

Program overview

The Bachelor of Science in Artificial Intelligence is a four-year cutting-edge degree program that focuses on the development of intelligent machines and systems capable of simulating human thinking and decision-making. The curriculum covers machine learning, deep learning, data science, computer vision, natural language processing, and robotics. Students gain hands-on experience in building AI models and deploying intelligent applications across various domains. BS Artificial Intelligence graduates are equipped to lead innovation in the rapidly evolving tech landscape. Career opportunities include roles as AI engineers, data scientists, machine learning specialists, and AI researchers in technology companies, startups, and research institutions.

Eligibility

  • Intermediate (Pre-Engineering / Computer Science / *Pre-Medical) with at least 50% Marks or A-Levels with equivalent certificate from IBCC Islamabad or an equivalent certificate from a recognized institution.
  • *Pre-Medical students must pass deficiency course of Mathematics of 6 Credit Hours within the first year of their regular studies.
  • Depending on university policy, applicants may also be required to pass an entry or aptitude test and appear in an interview or additional screening if required.

Documents required

  • Matric DMC and Secondary School Certificate
  • Intermediate DMC & Provisional Certificate, and Higher Secondary School Certificate
  • Equivalency Certificate from IBCC (For A Level/Other than BISE students)
  • Applicant CNIC / Form B
  • Father/Guardian CNIC
  • Domicile
  • 04 Recent Passport size Photographs (Light Blue Background)
  • NOC from previous University (for Migration/Transfer Cases)
  • Original Transcript from previous University (for Migration/Transfer Cases)

Program Objectives and Program Outcomes

 

Program Educational Objectives :

  • PEO 1 Academic Foundation: Graduates will acquire theoretical and practical expertise in Artificial Intelligence, including Artificial General Intelligence, Artificial Super Intelligence, agent-based systems, and emerging AI technologies.
  • PEO 2 Professional Growth: Graduates will design, implement, and deploy innovative AI solutions, applying advanced tools and technologies while working individually and in multidisciplinary teams.
  • PEO 3 Societal Responsibility: Graduates will uphold human-centered AI principles, ethical practices, communicate effectively, and contribute positively to society.

Graduate Attributes:

  • GA-1: Academic Education: Completion of an accredited program of study designed to prepare graduates as computing professionals.
  • GA-2: Knowledge for Solving Computing Problems: Apply knowledge of computing fundamentals, specialization, mathematics, science, and domain knowledge to abstraction and conceptualization of computing models.
  • GA-3: Problem Analysis: Identify and solve complex computing problems reaching substantiated conclusions using principles of mathematics, computing sciences, and relevant domain disciplines.
  • GA-4: Design/Development of Solutions: Design and evaluate solutions for complex computing problems; design systems, components, or processes that meet specified needs.
  • GA-5: Modern Tool Usage: Create, select, or adapt and apply appropriate techniques, resources, and modern computing tools to computing activities while understanding their limitations.
  • GA-6: Individual and Teamwork: Work effectively as an individual, as a team member, or a leader in multidisciplinary settings.
  • GA-7: Communication: Communicate effectively (oral, written, and graphical) with a variety of audiences.
  • GA-8: Project & Time Management: Demonstrate project planning, management, and execution within time, resource, and organizational constraints.
  • GA-9: Ethics: Understand and commit to professional ethics, responsibilities, and norms of computing practice.
  • GA-10: Life-long Learning: Recognize the need and have the ability to engage in independent learning and continuous professional development.

Fee Structure

Program Duration (Years)

4

No. of Semesters

8

Admission Fee (One Time)

10,000

Sem Enrollment/ Exam Fee

20,000

Tuition Fee (Per Sem)

79,000

Security (Refundable)

10,000

Sem-1 Fee

119,000

Sem-2 Fee

99,000

Sem-3 Fee

99,000

Sem-4 Fee

99,000

Sem-5 Fee

99,000

Sem-6 Fee

99,000

Sem-7 Fee

99,000

Sem-8 Fee

99,000

Total Program Fee

812,000

 

Fees are subject to university policy and may be revised. Please confirm the current payable amount with the Distance Learning Directorate or your selected center.

Scheme of study

Explore the courses included in each semester of this program.

Semester 112 courses
Course codeCourse titleCredit hours
IT 107TApplications of ICT2-0
IT 107LApplications of ICT Lab0-1
CS 116TProgramming Fundamentals3-0
CS 116LProgramming Fundamentals Lab0-1
ENG 100Functional English3-0
GS 108TApplied Physics2-0
GS 108LApplied Physics Lab0-1
GE 202Civics & Community Engagement2-0
GS 123Islamic Studies2-0
GS 141Values, Ethics & Society (for Non-Muslims)2-0
QT 101Understanding of Holy Quran-I (only for Muslims)0-1
MR 101Minority Rights in the Constitution of Pakistan-I (only for Non-Muslims)0-1
Semester 28 courses
Course codeCourse titleCredit hours
CS 125TObject Oriented Programming (Pre Req. CS 116T)3-0
CS 125LObject Oriented Programming Lab (Pre Req. CS 116L)0-1
CS 124TDigital Logic Design2-0
CS 124LDigital Logic Design Lab0-1
MA 313Probability & Statistics3-0
ENG 116Expository Writing (Pre Req. ENG 100)3-0
MA 145Discrete Structures (QR)3-0
GS 128Pakistan Studies2-0
Semester 39 courses
Course codeCourse titleCredit hours
CS 210TData Structures (Pre Req. CS 125T)3-0
CS 210LData Structures Lab (Pre Req. CS 125L)0-1
MA 101Calculus & Analytical Geometry3-0
CS 324TOperating Systems2-0
CS 324LOperating Systems Lab0-1
CS 225TDatabase Systems3-0
CS 225LDatabase Systems Lab0-1
CS 208TProgramming for AI2-0
CS 208LProgramming for AI Lab0-1
Semester 48 courses
Course codeCourse titleCredit hours
—Elective I (Domain Elective)3-0
CS 203TComputer Networks2-0
CS 203LComputer Networks Lab0-1
MA 105Multivariable Calculus (Pre Req. MA 101)3-0
AI 210TArtificial Intelligence2-0
AI 210LArtificial Intelligence Lab0-1
SE 201Software Engineering3-0
—Social Science Elective I3-0
Semester 59 courses
Course codeCourse titleCredit hours
CS 346TInformation Security2-0
CS 346LInformation Security Lab0-1
—Elective II (Domain Elective)3-0
CS 204TComputer Organization & Assembly Language (Pre Req. CS 124T)2-0
CS 204LComputer Organization & Assembly Language Lab (Pre Req. CS 124L)0-1
—Social Science Elective II2-0
CS 336TKnowledge Representation & Reasoning2-0
CS 336LKnowledge Representation & Reasoning Lab0-1
CS 320Analysis of Algorithms (Pre Req. CS 210T)3-0
Semester 68 courses
Course codeCourse titleCredit hours
—Elective III (Domain Elective)3-0
—Elective IV (Domain Elective)3-0
MA 235Linear Algebra (Pre Req. MA 101)3-0
CS 404TMachine Learning2-0
CS 404LMachine Learning Lab0-1
CS 305TComputer Vision2-0
CS 305LComputer Vision Lab0-1
GE 201Ideology & Constitution of Pakistan2-0
Semester 77 courses
Course codeCourse titleCredit hours
ENG 440Technical and Business Writing (Pre Req. ENG 116)3-0
—Elective V (Domain Elective)3-0
AI 327TArtificial Neural Networks & Deep Learning2-0
AI 327LArtificial Neural Networks & Deep Learning Lab0-1
CS 423TParallel & Distributed Computing2-0
CS 423LParallel & Distributed Computing Lab0-1
RES 491Project Phase I3-0
Semester 87 courses
Course codeCourse titleCredit hours
GE 319Professional Practices2-0
MGT 210Entrepreneurship2-0
—Elective VI (Domain Elective)3-0
—Elective VII (Domain Elective)3-0
QT 300Understanding of Holy Quran-II (only for Muslims)0-1
MR 300Minority Rights in the Constitution of Pakistan-II (only for Non-Muslims)1-0
RES 492Project Phase II3-0
Artificial Intelligence Electives12 courses
Course codeCourse titleCredit hours
COM 496Digital Image Processing2-1
CS 426Fuzzy Systems2-1
CS 432Reinforcement Learning2-1
CS 409Deep Learning2-1
CS 435Swarm Intelligence2-1
CS 325Agent Based Modeling2-1
CS 427Knowledge Based Systems2-1
CS 460AI for Games2-1
CS 461Virtual Reality2-1
CS 462Prompt Engineering2-1
CS 414TRobotics & IOT2-1
CS 421Natural Language Processing3-0
Social Science Electives7 courses
Course codeCourse titleCredit hours
MKT 227Principles of Marketing3-0
MGT 316E-Governance3-0
MGT 107Principles of Management2-0
SS 301Logic and Critical Thinking3-0
MKT 201Media Marketing2-0
GS 305/321Foreign Language (Chinese/Arabic)3-0
FIN 208Financial Literacy2-0
Summer Semester1 course
Course codeCourse titleCredit hours
RES 350Field Experience*3-0

Centers offering this program

Current availability based on active center records.

0 centers
No active center is currently mapped to this program.
Please contact the Distance Learning Directorate for current availability.