BS Artificial Intelligence
The BS Artificial Intelligence program equips students with knowledge and practical skills in machine learning, deep learning, data science, computer vision, natural language processing, robotics, and intelligent systems. Through AI labs, projects, research activities, internships, and industry training, students develop the technical and problem-solving abilities required to design and implement intelligent solutions for diverse industries at national and international levels.
Semester 1
| Course Code | Course Title | Credit Hours |
| ISLS-1112 | Islamic Studies/Ethics | 2 |
| PHYS-1122 | Applied Physics | 3 |
| ENGL-1114 | English Composition & Comprehension | 3 |
| MATH-1121 | Calculus & Analytical Geometry | 3 |
| ARIN-1202 | Programming Fundamentals – Lab | 0 |
| ARIN-1102 | Programming Fundamentals | 3 |
| ARIN-1201 | Introduction to ICT – Lab | 0 |
| ARIN-1101 | Introduction to ICT | 2 |
Semester 2
| Course Code | Course Title | Credit Hours |
| PAKS-1113 | Pakistan Studies | 2 |
| ENGL-1110 | Communication & Presentation Skills | 3 |
| ARIN-1103 | Discrete Structures | 3 |
| ARIN-1207 | Artificial Intelligence-Lab | 0 |
| ARIN-1107 | Artificial Intelligence | 3 |
| ARIN-1206 | Database Systems – Lab | 0 |
| ARIN-1106 | Database Systems | 3 |
| ARIN-1205 | Object Oriented Programming – Lab | 0 |
| ARIN-1105 | Object Oriented Programming | 3 |
Semester 3
| Course Code | Course Title | Credit Hours |
| TSAQN-00301 | ARABIC FOR
UNDERSTANDING QURAN |
3 |
| STAT-2131 | Probability & Statistics | 3 |
| ARIN-1210 | Digital Logic Design – Lab | 0 |
| ARIN-1110 | Digital Logic Design | 3 |
| ARIN-1209 | Programming for Artificial Intelligence – Lab | 0 |
| ARIN-1109 | Programming for Artificial Intelligence | 2 |
| MATH-2102 | Linear Algebra | 3 |
| ARIN-1208 | Data Structures & Algorithms – Lab | 0 |
| ARIN-1108 | Data Structures & Algorithms | 3 |
Semester 4
| Course Code | Course Title | Credit Hours |
| ARIN-2115 | Knowledge Representation & Reasoning | 3 |
| MATH-2122 | Differential Equations | 3 |
| ARIN-1112 | Analysis of Algorithms | 3 |
| ARIN-2233 | Artificial Neural Networks – Lab | 0 |
| ARIN-2133 | Artificial Neural Networks | 2 |
| ARIN-2140 | Computer Graphics | 3 |
| ARIN-2141 | Fuzzy Systems | 3 |
| ARIN-2142 | Evolutionary Computing | 3 |
| ARIN-2143 | Swarm Intelligence | 3 |
| ARIN-2144 | Agent Based Modeling | 3 |
| ARIN-2145 | Knowledge Based Systems | 3 |
| ARIN-2146 | Digital Image Processing | 2 |
| ARIN-2147 | E-Commerce Application Development | 2 |
| ARIN-2148 | Data Visualization | 3 |
| ARIN-2149 | Advanced Programming for AI | 2 |
Semester 5
| Course Code | Course Title | Credit Hours |
| ARIN-2255 | Machine Learning – Lab | 0 |
| ARIN-2155 | Machine Learning | 2 |
| ARIN-1211 | Computer Organization & Assembly Language – Lab | 0 |
| ARIN-1111 | Computer Organization & Assembly Language | 3 |
| ARIN-1214 | Operating Systems – Lab | 0 |
| ARIN-1114 | Operating Systems | 3 |
| ARIN-2150 | Mobile Application Development | 3 |
| ARIN-2151 | Semantic Web | 3 |
| ARIN-2152 | Cloud Computing | 3 |
| ARIN-2153 | Cognitive Computing | 2 |
| ARIN-2154 | Compiler Construction | 3 |
| ARIN-2156 | Smart Security | 2 |
| ARIN-2159 | Principles of Accounting | 3 |
Semester 6
| Course Code | Course Title | Credit Hours |
| ARIN-2232 | Computer Vision – Lab | 0 |
| ARIN-2132 | Computer Vision | 2 |
| ARIN-1215 | Computer Networks – Lab | 0 |
| ARIN-1115 | Computer Networks | 3 |
| ARIN-2157 | Natural Language Processing | 3 |
Semester 7
| Course Code | Course Title | Credit Hours |
| ARIN-1113 | Information Security | 3 |
| ARIN-1216 | Parallel & Distributed Computing – Lab | 0 |
| ARIN-1116 | Parallel & Distributed Computing | 2 |
| ENGL-1111 | Technical and Business Writing | 3 |
| ARIN-4301 | Project – I | 3 |
Semester 8
| Course Code | Course Title | Credit Hours |
| ARIN-4302 | Project – II | 3 |
| ARIN-2158 | Professional Practices | 3 |
| ARIN-1117 | Software Engineering | 3 |
| ARIN-2169 | Organizational Behavior | 3 |
The approved BS Artificial Intelligence (BSAI) curriculum is designed to develop competent AI professionals with strong technical expertise, analytical abilities, ethical values, teamwork, and effective communication skills. These qualities prepare graduates for successful careers in various fields, including:
- AI & Machine Learning: Careers in AI development, machine learning, and intelligent systems.
- Data Science & Analytics: Opportunities in data analysis, business intelligence, and big data.
- Computer Vision & Robotics: Roles in robotics, automation, and computer vision applications.
- Natural Language Processing: Careers in language technologies and AI communication systems.
- Cybersecurity & Intelligent Systems: Opportunities in AI-powered security and intelligent solutions.
- Government & Public Sector: Employment in IT, digital transformation, and smart technology projects.
- Research & Academia: Careers in teaching, research, and innovation.
- Freelancing & Entrepreneurship: Opportunities in AI consulting, startups, and technology ventures.
- International Organizations: Employment in multinational technology firms and research institutions.
- Professional Training: Hands-on experience through AI projects, internships, research activities, and industry training.
- Technical Certification: Opportunities to gain certifications in AI, machine learning, deep learning, and related technologies.
- Knowledge & Understanding: Strong foundation in artificial intelligence, data science, programming, and intelligent systems.
- AI Development Skills: Ability to design, develop, test, and implement AI-based solutions.
- Problem-Solving Skills: Development of analytical, critical-thinking, and decision-making abilities.
- Communication & Teamwork: Effective communication and collaboration skills for professional environments.
- Professional Ethics: Understanding of ethical practices, data privacy, and responsible use of
- AI technologies. Research & Innovation: Capability to explore emerging technologies and contribute to innovative solutions.
- Leadership & Management: Skills in leadership, entrepreneurship, and project management.
- Lifelong Learning: Commitment to continuous professional growth and adaptation to technological advancements.
Minimum 50% marks, ICS/FSc/I. Com and FA with any one of the following subjects: Computer Science/ Statistics/Economics/Mathematics/Physics/ Commerce, DAE, A-Level,
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