Undergraduate Program
BS Artificial Intelligence Technology
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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.
About Program
Program Objectives
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.
Internship and Career Prospects
- 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
Eligibility Criteria
- 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.
- Minimum 60% marks in Intermediate/12 years schooling/A-Level (HSSC) or Equivalent with Mathematics is required for admission to the BS Artificial Intelligence Technology program.
- 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)
1st Year
Semester 1
| 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
| 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 | |||
2nd Year
Semester 3
| 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
| 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 | |||
3rd Year
Semester 5
| 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
| 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 | |||
4th Year
Semester 7
| 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
| Semester – 8 | |||
| Course Title | Credit Hours | ||
| Th | Pr | ||
| Supervised Industrial Training | 0 | 16 | 16 |
| 16 | |||
| Total Cr. hr. | 132 | ||
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