BS ARTIFICIAL INTELLIGENCE

Program Overview

The BS in Artificial Intelligence (BS AI) at Mukabbir University of Science & Technology is designed for students eager to explore the future of intelligent systems. This program blends computer science, data analytics, and machine learning to prepare graduates for careers in cutting-edge fields such as robotics, automation, natural language processing, and smart technologies. Alongside technical expertise, students develop problem-solving, ethical decision-making, and innovation skills, enabling them to become leaders in the rapidly growing AI industry both locally and globally.

Key Features

Why this Program?

Automation & Efficiency

AI automates repetitive tasks, saving time, cost, and human effort. i.e. chatbots, data entry, attendance systems, grading support and much more.

Accuracy & Reduced Errors

AI systems minimize human error by working on data-driven logic. i.e. medical diagnosis support, fraud detection, exam result processing.

Smart Decision Making

AI analyzes large data quickly and finds patterns humans can’t easily see. i.e. predicting trends, student performance analysis, business insights.

Innovation & Problem Solving

AI promotes innovation by enabling intelligent systems that analyze complex data, adapt to changing environments, and generate effective solutions across multiple domains.

Program’s Aims & Objectives

1. Provide strong foundations in computing, mathematics, and core AI concepts.

2. Develop skills in machine learning, deep learning, and intelligent systems.

3. Enable students to design innovative AI-based solutions for real-world problems.

4. Promote ethical and responsible use of AI technologies.

5. Foster research, creativity, and critical thinking in emerging AI domains.

6. Encourage continuous learning to adapt to advancements in AI and related fields.

Problem Solving

Students learn to approach challenges with logical analysis, creativity, and innovation—key traits for AI-driven problem solving.

Ethical Leadership

We instill a strong sense of responsibility, integrity, and ethical decision-making in the use of Artificial Intelligence.

Collaboration Skills

Through presentations, team projects, and cross-disciplinary work, students develop the interpersonal and communication skills essential for leadership in AI fields.

Department Contact

Social Info

Distribution of Courses:

Followings are the distribution of total credit hours:

  • Major Areas

  • Credit Hrs.

  • %

  • Computing-Core Courses

  • 46

  • 35%

  • Mathematics &Science Foundation

  • 12

  • 9%

  • General Education Courses

  • 32

  • 23%

  • Domain Core

  • 18

  • 14%

  • Domain Electives

  • 21

  • 16%

  • Elective Supporting Courses

  • 03

  • 02%

  • University Elective Courses

  • 04

  • 01%

  • Frequently Asked Questions

    1. FSC/ A-Levels (or equivalent) – Minimum 50% marks.
    2. Intermediate Certificate (for O/A Levels) from IBCC (if applicable).
    3. Matric/O-Level Certificate.
    4. CNIC / B-Form & Father’s CNIC copy.
    5. Recent Passport Size Photographs.
    6. Domicile Certificate.
    7. Fill the Application Form.