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B.Sc. Computer Science (Artificial Intelligence)

B.Sc. Computer Science (Artificial Intelligence)

Programme Overview

The B.Sc. Computer Science (Artificial Intelligence) is a three-year undergraduate programme designed to provide strong foundations in computer science along with specialized knowledge in Artificial Intelligence (AI), Machine Learning (ML), Data Science, and intelligent systems.

This programme prepares students to develop smart applications, analyze large datasets, design AI-based solutions, and work with advanced technologies that are transforming industries worldwide. It combines theory, practical lab training, and project-based learning to build industry-ready professionals.

  • To provide strong foundation in computer science and programming.

  • To introduce core concepts of Artificial Intelligence and Machine Learning.

  • To develop analytical and problem-solving skills.

  • To train students in data analysis and predictive modeling.

  • To prepare students for careers in AI, Data Science, and emerging technologies.

Core Computer Science Subjects

  • Programming in C / C++

  • Data Structures & Algorithms

  • Object-Oriented Programming (Python / Java)

  • Database Management System (DBMS)

  • Operating Systems

  • Computer Networks

  • Software Engineering

  • Web Technologies

  • Cloud Computing (Introduction)

  • Introduction to Artificial Intelligence

  • Machine Learning

  • Deep Learning (Basics)

  • Data Science & Analytics

  • Python for AI

  • Natural Language Processing (NLP)

  • Computer Vision (Basics)

  • Big Data Technologies

  • Robotics (Introduction)

  • Neural Networks

  • AI Ethics and Responsible AI

 Artificial Intelligence

Designing intelligent systems that simulate human thinking and decision-making.

 Machine Learning

Developing algorithms that learn from data and make predictions.

 Data Science

Analyzing structured and unstructured data to derive meaningful insights.

 Deep Learning

Working with neural networks for image recognition, speech processing, and automation.

 AI Applications

AI in healthcare, finance, e-commerce, robotics, cybersecurity, and smart systems.

The programme follows an industry-oriented and practical approach:

  • Classroom Lectures

  • AI Lab Sessions

  • Coding Practice & Model Building

  • Case Studies

  • Mini Projects

  • Final Year Major Project (AI-based)

  • Seminars & Workshops

  • Internship Opportunities

Students are encouraged to participate in hackathons, AI competitions, and research projects.

Students completing B.Sc. CS (AI) will develop:

  • Strong programming skills (Python, AI tools)

  • Data analysis and visualization skills

  • Machine learning model development

  • Problem-solving and analytical thinking ability

  • Research and innovation skills

  • Technical documentation and presentation skills

Graduates can pursue careers as:

  • AI Developer

  • Machine Learning Engineer

  • Data Analyst

  • Data Scientist (Entry Level)

  • Business Intelligence Analyst

  • AI Research Assistant

  • Software Developer

  • Robotics Programmer

  • Cloud AI Engineer

  • IT Consultant

  • High-demand career in future technologies.

  • Industry-focused curriculum.

  • Excellent salary and growth opportunities.

  • Strong foundation for research and innovation.

  • Opportunities in global IT and technology sectors.