The BS Artificial Intelligence program at Green International University is designed for students who want to shape the future through smart technologies. This four-year degree helps students build strong problem-solving skills and deep knowledge of computer systems, data and algorithms. It combines theory with hands-on learning to prepare students for modern industry needs and innovation.
GIU is an extraordinary place for learning, discovery and transformation. Here, you have the freedom to ask questions, challenge the ordinary and spark innovation. We seek out bright and curious minds with revolutionary ideas to create an empowering community of leaders and change makers.
Program Overview
Why Choose BS Artificial Intelligence?
Choosing BS Artificial Intelligence means stepping into one of the fastest-growing fields in the world. At GIU, students don’t just learn from books, they explore how machines can think, learn and make decisions. This career-focused AI degree program builds your skills in programming, data analysis and machine learning to meet real-world challenges.
You’ll work on real-world AI projects and lab work that boost creativity and practical understanding. From developing smart apps to training intelligent systems, every course is designed to connect classroom learning with real industry experience. GIU also provides mentorship from expert faculty and access to advanced computing labs to help students grow confidently in their professional journey.
Career Scope & Opportunities
Graduates of BS Artificial Intelligence can explore diverse and rewarding career paths in technology, research and innovation. With the growing use of AI in every industry, professionals trained in this field are in high demand, as highlighted in emerging career paths in Artificial Intelligence and Cyber Security at Green International University. Career options include:
- AI Engineer
- Data Scientist
- Machine Learning Developer
- Robotics Engineer
- Software Analyst
- Computer Vision Expert
This degree also prepares students for higher studies or research in advanced AI fields. Whether you aim to work in healthcare, finance, automation or education technology the opportunities are endless for those who master AI tools and techniques.
Semester 1
| Course Code | Course Title | Pre-Requisite | Credit Hours |
|---|---|---|---|
| GEC-6101 | Application of Information & Communication Technologies (General Education-1) | No | 3(2+1) |
| CSC-6301 | Programming Fundamentals (Computing Core-1) | No | 4(3+1) |
| GEC-6102 | Functional English (General Education-2) | No | 3(3+0) |
| GEC-6103 | Discrete Structures (Quantitative Reasoning-1) (General Education-3) | No | 3(3+0) |
| GEC-6104 | Calculus and Analytical Geometry (Quantitative Reasoning-2) (General Education-4) | No | 3(3+0) |
| GEC-6105 | Ideology & Constitution of Pakistan (General Education-5) | No | 2(2+0) |
| NCC-6401 | Teaching of Holy Quran with Translation I | - | N.C |
| Total Credit Hours | 18 |
Semester 2
| Course Code | Course Title | Pre-Requisite | Credit Hours |
|---|---|---|---|
| CSC-6302 | Object Oriented Programming (Computing Core-2) | PF | 4(3+1) |
| CSC-6303 | Database Systems (Computing Core-3) | No | 4(3+1) |
| GEC-6106 | Applied Physics (General Education-7) | No | 3(2+1) |
| GEC-6107 | Expository Writing (General Education-6) | FE(ECC) | 3(3+0) |
| IDSC-6201 | Linear Algebra (Mathematics Supporting Course-1) | QR-2 | 3(3+0) |
| NCC-6402 | Teaching of Holy Quran with Translation II | - | N.C |
| Total Credit Hours | 17 |
Semester 3
| Course Code | Course Title | Pre-Requisite | Credit Hours |
|---|---|---|---|
| CSC-6305 | Data Structures (Computing Core-5) | OOP | 4(3+1) |
| CSC-6306 | Artificial Intelligence (Computing Core-6) | No | 3(2+1) |
| CSC-6307 | Computer Networks (Computing Core-7) | No | 3(2+1) |
| CSC-6308 | Software Engineering (Computing Core-8) | No | 3(3+0) |
| CSC-6304 | Digital Logic Design (Computing Core-4) | AP | 3(2+1) |
| NCC-6403 | Teaching of Holy Quran with Translation III | - | N.C |
| Total Credit Hours | 16 |
Semester 4
| Course Code | Course Title | Pre-Requisite | Credit Hours |
|---|---|---|---|
| GEC-6108 | Islamic Studies (General Education-8) | No | 2(2+0) |
| CSC-6310 | Information Security (Computing Core-10) | No | 3(2+1) |
| GEC-6212 | Entrepreneurship (General Education-12) | No | 2(2+0) |
| AIDE-6302 | (Domain Elective-1) | No | 3(2+1) |
| AIDE-6301 | (Domain Elective-2) | No | 3(2+1) |
| AIDC-6301 | Programming of AI (Domain Core-1) | No | 3(2+1) |
| NCC-6404 | Teaching of Holy Quran with Translation IV | - | N.C |
| Total Credit Hours | 16 |
Semester 5
| Course Code | Course Title | Pre-Requisite | Credit Hours |
|---|---|---|---|
| CSC-6311 | Operating Systems (Computing Core-11) | No | 3(2+1) |
| AIDC-6302 | Machine Learning (Domain Core-2) | No | 3(2+1) |
| CSC-6309 | Computer Organization & Assembly Language (Computing Core-9) | DLD | 3(2+1) |
| IDSC-6203 | Probability & Statistics (Mathematics & Supporting Course-3) | No | 3(3+0) |
| AIDC-6303 | Computer Vision (Domain Core-3) | No | 3(2+1) |
| GEC-6109 | Introduction to Management (General Education-9) | No | 2(2+0) |
| Total Credit Hours | 17 |
Semester 6
| Course Code | Course Title | Pre-Requisite | Credit Hours |
|---|---|---|---|
| CSC-6312 | Analysis of Algorithms (Computing Core-12) | DS | 3(3+0) |
| AIDE-6303 | (Domain Elective-3) | No | 3(2+1) |
| AIDE-6304 | (Domain Elective-4) | No | 3(2+1) |
| IDSC-6202 | Multivariable Calculus (Mathematics & Supporting Course-2) | QR-2 | 3(3+0) |
| AIDC-6304 | Parallel & Distributed Computing (Domain Core-4) | No | 3(2+1) |
| AIDC-6305 | Artificial Neural Networks & Deep Learning (Domain Core-5) | No | 3(2+1) |
| Total Credit Hours | 18 |
Semester 7
| Course Code | Course Title | Pre-Requisite | Credit Hours |
|---|---|---|---|
| IDSC-6204 | Technical & Business Writing (Mathematics & Supporting Course-4) | FE(ECC) | 3(3+0) |
| AIDC-6306 | Knowledge Representation & Reasoning (Domain Core-6) | No | 3(2+1) |
| AIDE-6305 | (Domain Elective-5) | No | 3(2+1) |
| AIDE-6306 | (Domain Elective-6) | No | 3(2+1) |
| CSC-6313 | Final Year Project-I (Computing Core-13) | No | 2(0+2) |
| Total Credit Hours | 14 |
Semester 8
| Course Code | Course Title | Pre-Requisite | Credit Hours |
|---|---|---|---|
| GEC-6211 | Professional Practices (General Education-11) | No | 2(2+0) |
| GEC-6210 | Civics and Community Engagement (General Education-10) | No | 2(2+0) |
| AIDE-6307 | (Domain Elective-7) | No | 3(2+1) |
| IDSC-6205 | Introduction to Marketing (Elective Supporting Course-1) | No | 3(3+0) |
| CSC-6314 | Final Year Project-II (Computing Core-14) | FYP-I | 4(0+4) |
| Total Credit Hours | 14 |
Total Credit Hours: 130
Program Educational Objectives (PEOs) BSAI
| # | PEOs | Description |
|---|---|---|
| 1 | Professional Competence and Continuous Learning | Graduates will demonstrate proficiency in core areas of artificial intelligence and engage in continuous learning to address emerging technologies and industry trends, including programming, algorithms, data structures, software development, system architecture, artificial intelligence, cloud computing, and the Internet of Things. |
| 2 | Innovative Problem-Solving and Lifelong Learning | Graduates will apply critical thinking to develop innovative solutions to complex computing problems and embrace lifelong learning to stay current with technological advancements. They will leverage their analytical abilities to address real-world challenges in various domains, ensuring practical and impactful outcomes. |
| 3 | Teamwork and Project Management | Graduates will lead and work effectively in teams, demonstrating the ability to manage and execute projects successfully. They will exhibit strong communication and leadership skills in professional settings. |
| 4 | Ethical Standards and Informed Decision-Making | Graduates will uphold high ethical standards, make informed decisions considering social and economic impacts, and adapt to the dynamic nature of the computing field, demonstrating resilience and flexibility in their careers. |
| 5 | Research and Scholarly Contribution | Graduates will contribute to the advancement of knowledge through research and scholarly activities, ensuring continuous improvement and innovation in the field of computer science. |
Elective Courses
| Sr# | Course Title | Credit Hours |
|---|---|---|
| 1 | Natural Language Processing | (2-3) |
| 2 | Speech Processing | (2-3) |
| 3 | Data Mining | (2-3) |
| 4 | Advanced Statistics | (2-3) |
| 5 | Reinforcement Learning | (2-3) |
| 6 | Theory of Automata | (3-0) |
| 7 | HCI & Computer Graphics | (2-3) |
| 8 | Fuzzy Systems | (2-3) |
| 9 | Swarm Intelligence | (2-3) |
| 10 | Agent-Based Modeling | (2-3) |
| 11 | Knowledge-Based Systems | (2-3) |
What is the duration of the BS Artificial Intelligence program?
The BS Artificial Intelligence program is a 4-year degree divided into 8 semesters.
Who can apply for BS Artificial Intelligence at GIU?
Students with Intermediate (Pre-Engineering, ICS or Pre-Medical with extra Math) and at least 50% marks can apply.
What skills will I learn in BS Artificial Intelligence?
You’ll learn coding, data analysis, machine learning and problem-solving with hands-on AI projects.
What career options are available after completing this degree?
Graduates can work as AI Engineers, Data Scientists, Robotics Experts or Machine Learning Developers.
Does the program include practical work or lab training?
Yes, students gain practical experience through real-world AI projects and lab work during the degree.