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BS Artificial Intelligence

The Bachelor of Science in Artificial Intelligence (BSAI) program prepares students for the rapidly evolving field of intelligent technologies by integrating computer science, mathematics, and data science with machine learning, deep learning, natural language processing, computer vision, and intelligent systems. The program emphasizes practical skills, innovation, critical thinking, and ethical AI practices, equipping graduates to develop intelligent solutions, drive technological innovation, and contribute to digital transformation across diverse sectors

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Program Duration

4 years

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Total Semesters

8 Semesters

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Total Credit Hours

145 Credit Hours

The BS Artificial Intelligence degree at Al-Kawthar University, accredited by NCEAC and recognized by HEC, equips students with practical expertise in artificial intelligence, machine learning, deep learning, computer vision, natural language processing (NLP), and generative AI.

Why Study BS Artificial Intelligence?

1
Industry-Ready AI Skills
2
Hands-On Projects & Portfolio
3
Computer Vision & NLP
4
Generative AI & Innovation
5
Global Careers & Freelancing
6
Research & Entrepreneurship

Tracks Offered

1
Computer Vision & Image Intelligence
2
Natural Language Processing & Generative AI
3
Robotics & Autonomous Systems
4
Data Intelligence & Predictive Analytics
5
AI Security & Trustworthy AI

Course Outline

S. No Course Code Course Title Credit Hours Pre-requisite Course Type
1. GEN-1101 Functional English and Communication Skills 3 None GEN1
2. GEN-1204 Discrete Structures 3 None GEN2
3. GEN-1301 Information and Communication Technology Skills (Theory) 2 None GEN3
4. GEN-1301L Information and Communication Technology Skills (Lab) 1 None GEN3
5. GEN-1701 / GEN- 1803 Islamic Studies / Ethics and Society 2 None GEN4
6. GEN-1501 Pakistan Studies 2 None GEN5
7. GEN-1801 Basic Health Awareness 2 None UNIQ1
8. GEN-1802 Life and Academic Skills 2 None ESC-1
9. GEN- 1702 / GEN-1804 Fahm-e-Quran – 1 (For Muslims) / Reflections on Human Values I (Form Non-Muslims) 1 None GEN6
10. DFN-1001 Foundation Mathematics I* NC* None  
    Total 18    
Note:

* Foundation Mathematics I is offered for students with non-Mathematics background as per the guidelines of NCEAC Curriculum 2023

S. No Course Code Course Title Credit Hours Pre-requisite Course Type
1. GEN-1102 Expository Writing 3 GEN-1101 GEN7
2. GEN-1401 Environment and Agriculture 2 None UNIQ3
3. GEN-1205 Calculus and Analytical Geometry 3 None GEN8
4. GEN-1402 Applied Physics (Theory) 2 None GEN9
5. GEN-1402 L Applied Physics (Lab) 1 None GEN9
6. GEN-1203 Critical Thinking and Reasoning 2 None ESC-2
7. CSC-1101 Programming Fundamentals (Theory) 3 None CCore1
8. CSC-1101 L Programming Fundamentals (Lab) 1 None CCore1
9. GEN-1703 / GEN-1805 Fahm-e-Quran - II / Reflections on Human Values II 1 None GEN6
10. DFN-1002 Foundation Mathematics II* NC* None  
    Total 18    
Note:

* Foundation Mathematics II is offered for students with non-Mathematics background as per the guidelines of NCEAC Curriculum 2023

S. No. Course Code Course Title Credit Hours Prerequisite Course Type
1. GEN-2502 Civilization, Society and State 2 None GEN10
2. GEN-2601 Introduction to Business and Entrepreneurship 2 None GEN11
3. GEN-2803 Urdu Literature 2 None GEN12
4. SEW-2301 Software Engineering 3 None CCore2
5. MTH-2101 Multivariable Calculus 3 GEN-1205 MSC1
6. CSC-2102 Digital Logic Design (Theory) 2 None CCore3
7. CSC-2102L Digital Logic Design (Lab) 1 None CCore3
8. CSC-2103 Object Oriented Programming (Theory) 3 CSC-1101 CCore4
9. CSC-2103L Object Oriented Programming (Lab) 1 CSC-1101L CCore4
    Total 19    

S. No. Course Code Course Title Credit Hours Prerequisite Course Type
1. GEN-2503 Constitution and Legal System of Pakistan 2 None GEN13
2. GEN-2602 Leadership & Community Service 2 None GEN14
3. MTH-2102 Linear Algebra 3 GEN-1205 MSC2
4. CSC-2104 Data Structures (Theory) 3 CSC- 2103 CCore5
5. CSC-2104 L Data Structures (Lab) 1 CSC- 2103L CCore5
6. CSC-2105 Database Systems (Theory) 3 None CCore6
7. CSC-2105 L Database Systems (Lab) 1 None CCore6
8. CSC-2106 Computer Organization and Assembly Language (Theory) 2 CS-2102 CCore7
9. CSC-2106 L Computer Organization and Assembly Language (Lab) 1 CS-2102L CCore7
    Total 18    

S. No. Course Code Course Title Credit Hours Prerequisite Course Type
1. MTH-2201 Probability and Statistics 3 None MSC3
2. CSC-3108 Computer Networks (Theory) 3 None CCore8
3. CSC-3108 L Computer Networks (Lab) 1 None CCore8
4. AIN-3301 Programming for AI 3 None DCore1
5. AIN-3301L Programming for AI (Lab) 1 None DCore1
6. AIN-3302 Knowledge Representation & Reasoning 3 None DCore2
7. CSC-3110 Analysis of Algorithms 3 CSC-2104 CCore9
    Total 17    
           

S. No Course Code Course Title Credit Hours Pre-requisite Course Type
1. CSC-3111 Operating Systems (Theory) 3 None CCore10
2. CSC-3111 L Operating Systems (Lab) 1 None CCore10
3. CSC-3112 Information Security 3 None CCore11
4. CSC-3109 Artificial Intelligence (Theory) 3 None CCore12
5. CSC-3109L Artificial Intelligence (Lab) 1 None CCore12
6. AIN-3303 Machine Learning (Theory) 2 None DCore3
7 AIN-3303L Machine Learning (Lab) 1 None DCore3
8. GEN-3103 Technical and Business Writing 3 GEN-1102 MSC4
9. CSC-3113 Internship** (Probably in Summer) 3 None FE
    Total 17 + 3    
Note:

Internship shall be performed by the student in/after 2nd or 3rd year. Only the grades are recorded as part of the 6th semester

S. No Course Code Course Title Credit Hours Pre-requisite Course Type
1. AIN-4301 Artificial Neural Networks & Deep Learning 3 None DCore4
2. AIN-4301L Artificial Neural Networks & Deep Learning (Lab) 1 None DCore4
3. AIN-4302 Computer Vision (Theory) 3 None DCore5
4. AIN-4302L Computer Vision (Lab) 1 None DCore5
5. CSC-4206 L HCI & Computer Graphics (Lab) 1 None DCore
6. CSC-XXXX CS Elective 1*** (Mobile Application Development) 2+1/3 None DElec
7. CSC-4199a Capstone Project – I 0+3 None CCore
    Total 17    
Note:

*** Domain Electives to be offered tentatively

S. No. Course Code Course Title Credit Hours Prerequisite Course Type
1. AIN-44XX AI Elective 2*** 2+1/3 None DElec2
2. AIN-44XX AI Elective 3*** 2+1/3 None DElec3
3. AIN-44XX AI Elective 4*** 2+1/3 None DElec4
4. AIN-44XX AI Elective 5*** 2+1/3 None DElec5
5. AIN-44XX AI Elective 6*** 2+1/3 None DElec6
6. AIN-4199b Final Year Project–II 0+3 AIN-4199a CCore14
    Total 18    
Note:

*** Domain Electives to be offered tentatively

S. No. Course Code Course Title Credit Hours
1. AIN-4401 Natural Language Processing 2+1/3
2. AIN-4402 Speech Processing 2+1/3
3. AIN-4403 Data Mining 2+1/3
4. AIN-4404 Advanced Statistics 2+1/3
5. AIN-4405 Reinforcement Learning 2+1/3
6. CSC-3201 Theory of Automata 2+1/3
7. CSC-4206 HCI & Computer Graphics 2+1/3
8. AIN-4406 Fuzzy Systems 2+1/3
9. AIN-4407 Swarm Intelligence 2+1/3
10. AIN-4408 Agent Based Modeling 2+1/3
11. AIN-4409 Knowledge Based Systems 2+1/3
Note:

** A course from these domains will be offered if at least 15 students are registering in that course and the university has sufficient resources regarding that course in term of faculty and infrastructure

Career & Placement Sectors

Careers & Placements

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  • AI Engineer
  • Machine Learning Engineer
  • AI/ML Developer
  • Data Scientist
  • Computer Vision Engineer
  • NLP Engineer
  • Generative AI Engineer
  • Robotics & Autonomous Systems Engineer
  • AI Research Assistant
  • AI Solutions Developer
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