Undergraduate Program

BS Artificial Intelligence

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 (BS-AI) program at SHU offers a comprehensive education in designing, developing, and deploying intelligent systems that mimic human cognition and decision-making. Integrating core computer science with advanced AI techniques such as machine learning, NLP, computer vision, and robotics, the program prepares students to solve real-world problems across industries like healthcare, finance, and automation. Emphasizing hands-on experience, ethical awareness, and industry collaboration, the BS-AI program equips graduates with the technical and practical skills needed to lead in the evolving field of AI and its integration with emerging technologies like IoT and autonomous systems.

    Why BS Artificial Intelligence from SHU

    International standard cutting-edge curriculum

    Our Bachelor of Science in Artificial Intelligence 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

    PO1: Apply AI principles and tools to develop intelligent, innovative, and practical solutions across diverse industries and domains.

    PO2: Demonstrate ethical responsibility, leadership, and a commitment to using AI for the betterment of society, economy, and environment.

    PO3: Pursue lifelong learning, advanced education, or research in AI to adapt to evolving technologies and global challenges.

    • AI Engineer / Machine Learning Engineer
    • Data Scientist / Data Analyst
    • NLP Specialist
    • Computer Vision Engineer
    • Robotics Programmer
    • AI Research Assistant
    • AI Consultant in healthcare, finance, or smart technologies
    • 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)

    BS (Artificial Intelligence) Scheme of Study
    For Engineering Students
    Semester – 1
    Course Title Credit Hours
    Th Pr Total
    Programming Fundamentals 3 1 4
    Application of Information & Communication Technologies 1 1 2
    Applied Physics 3 0 3
    Calculus and Analytic Geometry 3 0 3
    Islamic Studies 2 0 2
    Functional English 3 0 3
    Total 17
    Semester – 2
    Course Title Credit Hours
    Th Pr Total
    Object-Oriented Programming

    Prerequisites: PF

    		 3 1 4
    Discrete Structures 3 0 3
    Ideology and Constitution of Pakistan 2 0 2
    Linear Algebra

    Prerequisites: CAG

    		 3 0 3
    Digital Logic Design 2 1 3
    Expository writing 3 0 3
    Total 18
    Semester – 3
    Course Title Credit Hours
    Th Pr Total
    Multivariable Calculus

    Prerequisites: CAG

    		 3 0 3
    Introduction to Management 2 0 2
    Computer Networks 3 1 4
    Software Engineering 3 0 3
    Data Structures

    Prerequisites: OOP

    		 3 1 4
    Total 16
    Semester – 4
    Course Title Credit Hours
    Th Pr Total
    Probability and Statistics 3 0 3
    Artificial Intelligence 3 1 4
    Operating Systems 3 1 4
    Database Systems 3 1 4
    Information Security 2 1 3
    Professional Development 0 0 0
    Total 18
    Semester – 5
    Course Title Credit Hours
    Th Pr Total
    Programming for Artificial Intelligence 2 1 3
    Computer Organization and Assembly Language

    Prerequisites: DLD

    		 2 1 3
    Machine Learning 3 0 3
    Analysis of Algorithms 3 0 3
    AI-Elective I 3 0 3
    AI-Elective II 3 0 3
    Computing Internship 0 1 1
    Total 19
    Semester – 6
    Course Title Credit Hours
    Th Pr Total
    Artificial Neural Networks & Deep learning 2 1 3
    Knowledge Representation & Reasoning 3 0 3
    AI Elective III 3 _ 3
    AI Elective IV 3 _ 3
    AI Elective V 3 _ 3
    Total 15
    Semester – 7
    Course Title Credit Hours
    Th Pr Total
    AI Elective VI 3 0 3
    Computer Vision 2 1 3
    Parallel & Distributed Computing 3 0 3
    Final Year Project – I 3 0 3
    Introduction to Marketing 3 0 3
    Technical & Business Writing

    Prerequisites: FE

    		 3 0 3
    Total 18
    Semester – 8
    Course Title Credit Hours
    Th Pr Total
    Final Year Project – II Prerequisites: FYP I 0 3 3
    Civics and Community Engagement 0 1 1
    Entrepreneurship 3 0 3
    Professional Practices 3 0 3
    AI Elective VII 3 0 3
    Total 12
    Total Cr. hr 134
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