BACHOLAR OF SCIENCE IN ARTIFICIAL INTELLIGENCE – BS (AI)
DURATION: 04 YEARS (08 SEMESTERS) | CREDIT HOURS: 133
The Bachelor of Science in Artificial Intelligence BS(AI) program is designed to provide students with the essential knowledge and skills required to excel in the rapidly advancing field of AI. This program encompasses the core principles and cutting-edge technologies that underpin AI, such as machine learning, natural language processing, robotics, and computer vision. Through a combination of theoretical foundations and practical experiences, students will be prepared to address real-world challenges and drive innovation across diverse industries.
Our vision is to be a leading institution in artificial intelligence education, recognized for our commitment to excellence, innovation, and societal impact. We aspire to produce graduates who are not only proficient and knowledgeable in AI but also equipped with the ethical and social awareness necessary to employ AI technologies responsibly to earn a lawful and dignified livelihood (رِزْقِ حَلال).
Our mission is to cultivate a deep understanding of artificial intelligence principles and techniques, empowering students to become leaders and innovators in the AI domain. We are dedicated to delivering a comprehensive education that integrates rigorous academic coursework with experiential learning opportunities, fostering a collaborative and inclusive environment that encourages critical thinking, creativity, and ethical considerations in AI applications.
Intermediate with any one of the following combinations with minimum 50% marks
a) Mathematics, Physics & Chemistry (Pre-Engineering)
b) Physics, Chemistry & Biology (Pre-Medical)
c) Mathematics, Physics & Computer Science
d) Mathematics, Statistics & Computer Science
e) Mathematics, Statistics & Physics
f) Mathematics, Statistics & Economics
g) Mathematics, Computer Science & Economics
h) Diploma of Associate Engineering (DAE) with at least 60% aggregate marks in the relevant discipline
Program Educational Objectives (PEOs) for an Artificial Intelligence BS(AI) department typically outline the expected achievements of graduates within a few years after completing their degree.
Sr.# | Statement |
PEO-1 | Graduates will demonstrate proficiency in applying AI techniques and Algorithms to solve complex problems in various domains, including but not limited to healthcare, finance, and robotics. |
PEO-2 | Graduates will exhibit strong analytical and critical thinking skills, enabling them to evaluate AI solutions critically and make informed decisions based on data analysis. Graduates will communicate effectively with diverse audiences, collaborating in multidisciplinary teams to design, implement, and present AI solutions. |
PEO-3 | Graduates will engage in lifelong learning to stay current with emerging AI technologies, methodologies, and demonstrating adaptability in a rapidly evolving field and committed to develop responsible AI solutions that consider societal impact and promote fairness. |
| Sr. | Program Learning Objective | PEO1 | PEO2 | PEO3 |
| 1 | Academic Education | ✓ | ||
| 2 | Knowledge for Solving Computing Problems | ✓ | ||
| 3 | Problem Analysis | ✓ | ✓ | |
| 4 | Design/ Development of Solutions | ✓ | ✓ | |
| 5 | Modern Tool Usage | ✓ | ✓ | |
| 6 | Individual and Teamwork | ✓ | ||
| 7 | Communication | ✓ | ||
| 8 | Computing Professionalism and Society | ✓ | ||
| 9 | Ethics | ✓ | ||
| 10 | Life-long Learning | ✓ |
4 years Degree Program-Bachelor of Science in Artificial Intelligence (BSAI) 45 courses covering 133 credit hours spread over 8 semesters
| Course Groups | Categories as per UGP | No. of courses | Credit Hours |
| Major (Disciplinary) Courses | 27 | 85(57-28) |
| Interdisciplinary/Allied Courses | 6 | 18(18-0) |
| General Education Courses | 12 | 30(28-2) |
| Total: | 45 | 133(103-30) |
Computing Core (46/133) 12 Compulsory Courses
Computing Core (46/133) 12 Compulsory Courses
| Sr. | Course Code | Course Title | Credit Hour |
| 1. | COSC-1102 | Programming Fundamentals | 3 (3-0) |
| 2. | COSC-1202 | Programming Fundamentals (Lab) | 1 (0-1) |
| 3. | COSC-1103 | Object Oriented Programming | 3 (3-0) |
| 4. | COSC-1203 | Object Oriented Programming (Lab) | 1 (0-1) |
| 5. | COSC-1104 | Database Systems | 3 (3-0) |
| 6. | COSC-1204 | Database Systems (Lab) | 1 (0-1) |
| 7. | COSC-1105 | Digital Logic Design | 2 (2-0) |
| 8. | COSC-1205 | Digital Logic Design (Lab) | 1 (0-1) |
| 9. | COSC-2106 | Data Structures | 3 (3-0) |
| 10. | COSC-2206 | Data Structures (Lab) | 1 (0-1) |
| 11. | COSC-2107 | Information Security | 2 (2-0) |
| 12. | COSC-2207 | Information Security (Lab) | 1 (0-1) |
| 13. | COSC-2108 | Artificial Intelligence | 2 (2-0) |
| 14. | COSC-2208 | Artificial Intelligence (Lab) | 1 (0-1) |
| 15. | COSC-2109 | Computer Networks | 2 (2-0) |
| 16. | COSC-2209 | Computer Networks (Lab) | 1 (0-1) |
| 17. | COSC-2110 | Software Engineering | 3 (3-0) |
| 18. | COSC-2111 | Computer Organization & Assembly Language | 2 (2-0) |
| 19. | COSC-2211 | Computer Organization & Assembly Language (Lab) | 1 (0-1) |
| 20. | COSC-3112 | Operating Systems | 2 (2-0) |
| 21. | COSC-3212 | Operating Systems (Lab) | 1 (0-1) |
| 22. | COSC-4113 | Analysis of Algorithms | 3 (3-0) |
| 23. | COSC-4314 | Final Year Project – I | 2 (0-2) |
| 24. | COSC-4315 | Final Year Project – II | 4 (0-4) |
| Total Credit Hours: | 46 (30-16) | ||
Artificial Intelligence Core (18/133) 6 Courses
Artificial Intelligence Core (18/133) 6 Courses
Sr. | Course Code | Course Title | Credit Hour |
1. | ARIT-2131 | Programming for AI Domain | 2 (2-0) |
2. | ARIT-2231 | Programming for AI Domain (Lab) | 1 (0-1) |
3. | ARIT-3132 | Machine Learning | 2 (2-0) |
4. | ARIT-3232 | Machine Learning (Lab) | 1 (0-1) |
5. | ARIT-3133 | Knowledge Representation & Reasoning | 2 (2-0) |
6. | ARIT-3233 | Knowledge Representation & Reasoning (Lab) | 1 (0-1) |
7. | ARIT-3134 | Computer Vision | 2 (2-0) |
8. | ARIT-3234 | Computer Vision (Lab) | 1 (0-1) |
9. | ARIT-4135 | Artificial Neural Network & Deep Learning | 2 (2-0) |
10. | ARIT-4235 | Artificial Neural Network & Deep Learning (Lab) | 1 (0-1) |
11. | ARIT-4136 | Parallel & Distributed Computing | 2 (2-0) |
12. | ARIT-4236 | Parallel & Distributed Computing (Lab) | 1 (0-1) |
Total Credit Hours: | 18 (12-6) | ||
Artificial Intelligence Elective (21/133) 7 Courses
Artificial Intelligence Elective (21/133) 7 Courses
Sr. | Course Code | Course Title | Credit Hour |
1. | ARIT-xxxx | Theory of Automata | 3 (3-0) |
2. | ARIT-xxxx | Natural Language Processing | 2(2-0) |
3. | ARIT-xxxx | Natural Language Processing (Lab) | 1(0-1) |
4. | ARIT-xxxx | Speech Processing | 2 (2-0) |
5. | ARIT-xxxx | Speech Processing (Lab) | 1(0-1) |
6. | ARIT-xxxx | Data Mining | 2 (2-0) |
7. | ARIT-xxxx | Data Mining (Lab) | 1(0-1) |
8. | ARIT-xxxx | Advanced Statistics | 2 (2-0) |
9. | ARIT-xxxx | Advanced Statistics (Lab) | 1(0-1) |
10. | ARIT-xxxx | Reinforcement Learning | 2 (2-0) |
11. | ARIT-xxxx | Reinforcement Learning (Lab) | 1 (0-1) |
12. | ARIT-xxxx | HCI & Computer Graphics | 2 (2-0) |
13. | ARIT-xxxx | HCI & Computer Graphics (Lab) | 1 (0-1) |
14. | ARIT-xxxx | Fuzzy Systems | 2 (2-0) |
15. | ARIT-xxxx | Fuzzy Systems (Lab) | 1 (0-1) |
16. | ARIT-xxxx | Swarm Intelligence | 2 (2-0) |
17. | ARIT-xxxx | Swarm Intelligence (Lab) | 1 (0-1) |
18. | ARIT-xxxx | Agent Based Modeling | 2 (2-0) |
19. | ARIT-xxxx | Agent Based Modeling (Lab) | 1 (0-1) |
20. | ARIT-xxxx | Knowledge Based Systems | 2 (2-0) |
21. | ARIT-xxxx | Knowledge Based Systems (Lab) | 1 (0-1) |
22. | ARIT-xxxx | Control Engineering | 2 (2-0) |
23. | ARIT-xxxx | Control Engineering (Lab) | 1 (0-1) |
24. | ARIT-xxxx | Robotics | 2 (2-0) |
25. | ARIT-xxxx | Robotics (Lab) | 1 (0-1) |
26. | ARIT-x154 | Generative AI Fundamentals | 2 (2-0) |
27. | ARIT-x254 | Generative AI Fundamentals (Lab) | 1 (0-1) |
Total Credit Hours: | 21 (15-6) | ||
Mathematics & Supporting Courses (12/133) 4 Courses
Mathematics & Supporting Courses (12/133) 4 Courses
Sr. | Course Code | Course Title | Credit Hour |
1. | MATH-3181 | Multivariable Calculus | 3(3-0) |
2. | MATH-3182 | Linear Algebra | 3(3-0) |
3. | STAT-2183 | Probability & Statistics | 3(3-0) |
4. | ENGL-3184 | Technical & Business Writing | 3(3-0) |
Total Credit Hours: | 12(12-0) | ||
Elective Supporting Courses (03/133) 1 Courses
Elective Supporting Courses (03/133) 1 Courses
Sr. | Course Code | Course Title | Credit Hour |
1. | BUAD-2123 | Principles of Marketing | 3(3-0) |
Total Credit Hours: | 3(3-0) | ||
General Education (30/133) 12 Courses
General Education (30/133) 12 Courses
Sr. | Course Code | Course Title | Credit Hour |
1. | COSC-1101 | Application of Information and Communication Technologies (ICT) | 3 (2-1) |
2. | ENGL-1101 | Functional English | 3 (3-0) |
3. | ENGL-1102 | Expository Writing | 3 (3-0) |
4. | MATH-2101 | Quantitative Reasoning – I (Discrete Structure) | 3 (3-0) |
5. | STAT-2101 | Quantitative Reasoning – II (Calculus and Analytic Geometry) | 3 (3-0) |
6. | ISST-1101 | Islamic Studies / Ethics (For Non-Muslims) | 2 (2-0) |
7. | POSC-1101 | Ideology & Constitution of Pakistan | 2 (2-0) |
8. | BUAD-1121 | Principles of Management (Social Sciences) | 2 (2-0) |
9. | PHYS-1103 | Applied Physics (Natural Sciences) | 2 (2-0) |
10. | PHYS-1203 | Applied Physics (Natural Sciences) (Lab) | 1 (0-1) |
11. | COSC-2116 | Professional Practices (Arts & Humanities) | 2 (2-0) |
12. | SOCI-2101 | Civics and Community Engagement | 2 (2-0) |
13. | BUAD-2101 | Entrepreneurship | 2 (2-0) |
STotal Credits: | 30 (28-2) | ||
University Elective Supporting Courses (03/133) 1 Courses
University Elective Supporting Courses (03/133) 1 Courses
Sr. | Course Code | Course Title | Credit Hour |
1. | FLNG-4101 | Arabic | 3(3-0) |
2. | FLNG-4102 | Chinese | 3(3-0) |
3. | FLNG-4103 | French | 3(3-0) |
4. | FLNG-4104 | German | 3(3-0) |
5. | FLNG-4105 | Japanses | 3(3-0) |
6. | FLNG-4106 | Korean | 3(3-0) |
Total Credit Hours: | 3(3-0) | ||