Undergraduate Program

BS Artificial Intelligence Technology

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 TitleCredit Hours
ThPrTotal
Programming Fundamentals123
Application of Information & Communication Technologies112
Applied Physics213
Islamic Studies202
Calculus and Analytical Geometry303
Functional English303
16
Semester – 2
Course TitleCredit Hours
ThPrTotal
Pakistan Studies202
Probability and Statistics303
Discrete Structure303
Object Oriented Programming123
General Elective-I303
Introduction to Artificial Intelligence224
18
Semester – 3
Course TitleCredit Hours
ThPrTotal
Communication Skills303
Linear Algebra303
Data Structures and Algorithms123
Web Technologies123
General Elective-II202
Programming for Artificial Intelligence213
17
Semester – 4
Course TitleCredit Hours
ThPrTotal
Machine Learning123
Knowledge Representation and Reasoning303
Database Management Systems112
Professional Practices202
Computer Vision123
Mobile Application Development123
16
Semester – 5
Course TitleCredit Hours
ThPrTotal
Artificial Neural Networks and Deep Learning123
Technical Report Writing303
IDTE-I303
Environment, Health, and Safety303
Depth Elective – I112
Depth Elective – II123
17
Semester – 6
Course TitleCredit Hours
ThPr
IDTE-II303
Information Security302
Depth Elective – III123
Parallel and Distributed Computing303
Project – I033
Depth Elective – IV212
16
Semester – 7
Course TitleCredit Hours
ThPr
Depth Elective – V213
Depth Elective – VI221
213
Cloud Computing123
Entrepreneurship303
Project – II033
16
Semester – 8
Course TitleCredit Hours
ThPr
Supervised Industrial Training01616
16
Total Cr. hr.132

 

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