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
- 1. Comprehensive AI Curriculum
- 2. Hands-On Experience with Real-World Tools
- 3. Diverse and High-Demand Career Paths
- 4. Global Relevance and Industry Impact
- 5. Industry-Aligned Curriculum
- 6. Advanced Labs & Tools
- 7. Ethics & Responsibility in AI
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.
Related Downloads
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
- FSC/ A-Levels (or equivalent) – Minimum 50% marks.
- Intermediate Certificate (for O/A Levels) from IBCC (if applicable).
- Matric/O-Level Certificate.
- CNIC / B-Form & Father’s CNIC copy.
- Recent Passport Size Photographs.
- Domicile Certificate.
- Fill the Application Form.
Yes, you can apply for Artificial Intelligence without prior coding experience, as the program starts from the basics.
In a BS Artificial Intelligence degree, you will work on projects related to Programming Fundamentals, Machine Learning, Deep Learning & Computer Vision, Natural Language Processing (NLP), Robotics & IoT with AI, Data Science & Big Data, and a Final Year Project focusing on advanced AI applications.
Graduates can work as AI Engineers, Machine Learning Engineers, Data Scientists, Data Analysts, Computer Vision Engineers, NLP Engineers, Robotics Engineers, Business Intelligence Analysts, Research Scientists, Big Data Engineers, AI Product Managers, and Automation Engineers.
