Undergraduate Program

BS Artificial Intelligence Technology

Faculty of Information Technology

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Department of Computer Science

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Faculty of Information Technology

Department of Computer Science

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    Introduction

    The BS Artificial Intelligence Technology program blends core computer science with modern AI techniques to prepare students for the age of intelligent systems. It offers a strong foundation in machine learning, computer vision, natural language processing, robotics, and intelligent agents, with practical exposure to real-world AI applications.

    Why BS Artificial Intelligence Technology from SHU

    International standard cutting-edge curriculum

    Our Bachelor of Science in Artificial Intelligence Technology program offers a curriculum that incorporates the latest technological advancements and research. Designed to align with international best practices, our innovative coursework equips students with the essential skills and knowledge to succeed in a rapidly changing industry.

    Advanced Laboratories for Applied Research

    Our laboratories provide a dynamic environment for hands-on learning and research in Artificial Intelligence. Students engage in real-world problem-solving, developing and testing innovative software solutions. These labs support exploration in areas like AI, cloud computing, and cybersecurity. With industry-standard tools and technologies, students gain practical experience that bridges theory and application. The facilities foster creativity, collaboration, and technical expertise, preparing students for future challenges in the software industry.

    Experiential and Project-Based Learning

    We emphasize experiential and project-based learning methodologies to provide students with practical experience and problem-solving skills. This approach fosters critical thinking and innovation by involving students in real-world projects and collaborative research.

    Career-Oriented and Marketable Skills

    The curriculum is tailored to cultivate career-focused competencies and entrepreneurial skills. Students acquire marketable expertise that prepares them for diverse professional opportunities and entrepreneurial ventures in the technology sector.

    International Exposure and Mobility

    Students benefit from opportunities for national and international exposure through participation in seminar, competitions and exhibitions. These experiences enhance their global perspective, expand professional networks, and enrich their academic journey.

    Expert Faculty Guidance

    Our highly experienced and well-qualified faculty members provide exceptional support and guidance throughout the program. Their expertise and industry experience play a crucial role in mentoring students and advancing their academic and professional growth.

    Industry Mentorship

    Our program offers mentorship from industry professionals to support the development of entrepreneurial ideas. This guidance helps students refine their projects, navigate industry challenges, and transform innovative concepts into viable business solutions.

    About Program

    Artificial Intelligence is reshaping industries by enabling automation, smart decision-making, and adaptive systems. This program meets the growing demand for skilled professionals who can design, develop, and deploy AI-based solutions across healthcare, finance, transportation, and emerging tech sectors.

    • Internships at AI startups, research labs, and software companies
    • Hands-on experience with real datasets and AI tools during final year projects
    • Career roles include:
      • AI Engineer
      • Machine Learning Developer
      • Computer Vision Specialist
      • NLP Engineer
      • Robotics Programmer
    • Opportunities in healthcare, finance, automation, and smart technologies
    • Pathways to MS/PhD in AI or Data Science fields
    • Minimum 50% marks in Intermediate/12 years schooling/A-Level (HSSC) or Equivalent with Mathematics is required for admission in all BS Computing Programs other than BS Computing Engineering.
    • 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 have to pass deficiency courses in Mathematics (06 credits) in the first two semesters.
    • The minimum duration for completion of BS degrees is four years. The HEC allows a 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 the award of BS Computing Degree.

    Scheme of Study (Semester Wise)

    Artificial Intelligence (Program) Scheme of Study
    Semester – 1
    Course Title Credit Hours
    Th Pr Total
    Programming Fundamentals 1 2 3
    Application of Information & Communication Technologies 1 1 2
    Applied Physics 2 1 3
    Islamic Studies 2 0 2
    Calculus and Analytical Geometry 3 0 3
    Functional English 3 0 3
    16
    Semester – 2
    Course Title Credit Hours
    Th Pr Total
    Pakistan Studies 2 0 2
    Probability and Statistics 3 0 3
    Discrete Structure 3 0 3
    Object Oriented Programming 1 2 3
    General Elective-I 3 0 3
    Introduction to Artificial Intelligence 2 2 4
    18
    Semester – 3
    Course Title Credit Hours
    Th Pr Total
    Communication Skills 3 0 3
    Linear Algebra 3 0 3
    Data Structures and Algorithms 1 2 3
    Web Technologies 1 2 3
    General Elective-II 2 0 2
    Programming for Artificial Intelligence 2 1 3
    17
    Semester – 4
    Course Title Credit Hours
    Th Pr Total
    Machine Learning 1 2 3
    Knowledge Representation and Reasoning 3 0 3
    Database Management Systems 1 1 2
    Professional Practices 2 0 2
    Computer Vision 1 2 3
    Mobile Application Development 1 2 3
    16
    Semester – 5
    Course Title Credit Hours
    Th Pr Total
    Artificial Neural Networks and Deep Learning 1 2 3
    Technical Report Writing 3 0 3
    IDTE-I 3 0 3
    Environment, Health, and Safety 3 0 3
    Depth Elective – I 1 1 2
    Depth Elective – II 1 2 3
    17
    Semester – 6
    Course Title Credit Hours
    Th Pr
    IDTE-II 3 0 3
    Information Security 3 0 2
    Depth Elective – III 1 2 3
    Parallel and Distributed Computing 3 0 3
    Project – I 0 3 3
    Depth Elective – IV 2 1 2
    16
    Semester – 7
    Course Title Credit Hours
    Th Pr
    Depth Elective – V 2 1 3
    Depth Elective – VI 2 2 1
    2 1 3
    Cloud Computing 1 2 3
    Entrepreneurship 3 0 3
    Project – II 0 3 3
    16
    Semester – 8
    Course Title Credit Hours
    Th Pr
    Supervised Industrial Training 0 16 16
    16
    Total Cr. hr. 132

     

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