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Bachelor of Science in Artificial Intelligence

Degree Level
Undergraduate
Duration
4 years
Semester Fee
Rs. 200,000
Registration Fee
Rs. 25000
Application Fee
Rs. 5000
Scholarships
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Program Overview

The University of South Asia is proud to announce the launch of its BS Artificial Intelligence Program under the Computer Science Department, commencing in Fall 2025. This program is designed to equip students with cutting-edge knowledge and skills in artificial intelligence, preparing them to excel in this rapidly evolving field. With a focus on technical expertise, creative problem-solving, and ethical leadership, the program aims to develop professionals who can address real-world challenges and contribute to advancements in AI technologies.

Department Mission Statement

To cultivate graduates with innovative thinking, deep knowledge, and exceptional problem-solving skills, equipped with cutting-edge expertise to meet diverse global challenges and contribute significantly to the nation’s economic growth.

Program Objectives (POs)

The University of South Asia’s POs aim to develop proficient, ethical graduates who excel professionally and contribute positively to society. The POs for the BS Artificial Intelligence program is given below:
  • PO1
    Graduates demonstrate technical expertise in artificial intelligence and related domains.
  • PO2
    Graduates apply creative thinking to solve real-world problems using AI technologies.
  • PO3
    Graduates reflect ethical and leadership skills in AI development and deployment.
  • PO4

    Graduates integrate emerging AI trends to address interdisciplinary challenges.

    Program Objectives (POs) Alignment with the Department Mission Statement
    PO1: Graduates demonstrate technical expertise in artificial intelligence and related domains. This PO aligns with the mission by emphasizing the development of graduates who possess deep knowledge and cutting-edge expertise to meet global challenges.
    PO2: Graduates apply creative thinking to solve real-world problems using AI technologies. This PO corresponds to the mission’s goal of cultivating innovative thinking to solve problems and contribute to global challenges.
    PO3: Graduates reflect ethical and leadership skills in AI development and deployment. The PO supports the mission’s focus on preparing professionals with ethical principles and leadership to contribute meaningfully to society and the economy.
    PO4: Graduates integrate emerging AI trends to address interdisciplinary challenges. Aligns with the mission’s objective of equipping graduates with expertise in cutting-edge AI technologies to address complex, interdisciplinary global issues.

Graduate Attributes (GAs)

  • 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, 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.
  • GA-3: Problem Analysis:
    Identify and solve complex computing problems, reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
  • GA-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.
  • GA-5: Modern Tool Usage:
    Create, select, or adapt and then apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
  • GA-6: Individual and Teamwork:
    Function effectively as an individual and as a member or leader of a team in multidisciplinary settings.
  • GA-7: Communication:
    Communicate effectively with the computing community about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
  • GA-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.
  • GA-9: Ethics:
    Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.
  • GA-10: Life-long Learning:
    Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.

Key Features

  • Comprehensive AI Curriculum
    The program covers core areas such as machine learning, neural networks, robotics, and natural language processing, offering students in-depth theoretical and practical knowledge.
  • Hands-On Experience with Real-World Tools
    Students work with industry-standard AI tools to develop solutions for automation, prediction, and intelligent decision-making across real-world scenarios.
  • Diverse and High-Demand Career Paths
    Graduates are prepared for roles like AI engineer, data scientist, and AI product developer in key sectors such as healthcare, finance, education, and manufacturing.
  • Global Relevance and Industry Impact
    AI professionals are increasingly sought after in major tech hubs worldwide, contributing to innovations in smart cities, automated systems, and advanced analytics.

Admission Criteria

The minimum requirements for admission in a Bachelor of Science in Artificial Intelligence are at least 50% marks in the Intermediate (HSSC) examination with Math/ Math & Supporting or equivalent qualification with Math/ Math & Supporting certified by IBCC.

OR

Candidates having at least 50% marks in the Intermediate (HSSC) examination (Pre-Medical Grp) certified by IBCC are also eligible for admission in an Associate degree program in Computer Science subject to passing (Non-Credit, Pass/Fail Only) two Math/ Math & Supporting courses within first years of their regular studies as per NCEAC vide the 36th Minutes of Meeting of General Council of National Computing Education Accreditation Council1.

Category of Students Eligibility Criteria
Intermediate Students
  • Completion of Intermediate
  • Must have at least 50% marks
ADP Students (Same Discipline)
  • Completion of ADP (Same Discipline)
  • Must have at least 2.5 CGPA, enroll directly in the 5th semester without the need for bridging semester
BA/ADP (Other Discipline) Students
  • Completion of BA or ADP (Other Discipline)
  • Must have at least 2.5 CGPA or 50% marks
  • Must take a bridging semester before continuing to the 5th semester of Bachelor of Science in Artificial Intelligence

Admission Process

  1. Fill out the admission form.
  2. Pay the application fee of Rs. 5,000.
  3. Appear for the admission test.
  4. Pass the test with a minimum of 60% marks.
  5. Students who pass the test can enroll in the premium educational program.
  6. An acceptance or rejection letter will be issued.
  7. The last date for fee deposit will be clearly indicated on the fee voucher.
  8. Admission will be canceled for students who do not pay the required dues by the deadline.
  9. Admission tests are conducted every Saturday and Wednesday.
  10. Tests will be conducted on computers.
  11. Test results will be announced the next day and communicated to students via WhatsApp and Email.

Program Structure Overview

Category Number of Courses Total Credit Hours
Major/Computing Core 14 46
Major/Domain Core 7 18
Major/Domain Electives 7 21
Inter Disciplinary /Mathematics & Supporting Courses/EW 4 12
Inter Disciplinary /Elective Supporting Courses/SS 1 3
General Education Requirement 15 34
Totals 47 134

Degree Completion Requirements

Program Feature Details
Minimum Duration 4 years
Maximum Duration 6 years (1 year extension by the competent authority)
Semesters 8
Project Credit Hours 3
Internship Credit Hours 0
Minimum Credit Hours Required 134
Minimum CGPA Required 2.0/4.0

Program Curriculum

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Student Success Stories

My final year project in NLP at the University of South Asia led to a full-time AI engineering role in a digital health startup.
Ahsan Javed
Thanks to hands-on training in machine learning and TensorFlow, I now build real-time fraud detection models for a fintech company
Fatima Shahbaz
The AI program at the University of South Asia gave me a strong foundation in computer vision and deep learning. Today, I’m working as a computer vision engineer, developing image recognition systems for a multinational tech firm.
Hassan Raza

FAQs

You’ll work with Python, TensorFlow, PyTorch, Keras, OpenCV, and NLP libraries like spaCy and NLTK.

Yes, foundational programming is taught in early semesters, so students from all academic backgrounds can succeed.

Projects range from chatbots and fraud detectors to robotics simulations and AI-driven recommendation engines.

Graduates are hired in AI roles by tech firms, banks, research labs, and startups in Pakistan and internationally.