B.Sc. (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.

Eligibility for Admission 2026-2027

Subject Studies in HSC: Computer Science / Software Engineering / Maths / Business Maths / Computer Application (with Maths/Business Maths)

Programme Objectives

  • 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 for intelligent systems.

  • To train students in data analysis and predictive modeling.

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

Course Structure

Core CS Subjects
  • Programming in C / C++
  • Data Structures & Algorithms
  • Object-Oriented (Python / Java)
  • Database Management (DBMS)
  • Operating Systems & Networks
  • Software Engineering
AI & Specialized
  • Machine & Deep Learning
  • Data Science & Analytics
  • Natural Language Processing
  • Computer Vision & Big Data
  • Robotics & Neural Networks
  • AI Ethics & Responsible AI

Key Areas of Study

AI & Machine Learning

Designing intelligent systems and predictive algorithms that learn from data.

Data Science

Analyzing structured and unstructured data to derive meaningful insights.

AI Applications

AI in healthcare, finance, robotics, automation, and smart systems.

Teaching Methodology

The programme follows an industry-oriented and practical approach:

  • AI Lab Sessions & Model Building Workshops

  • AI-based Major Projects & Case Study Analysis

  • Participation in Hackathons & AI Competitions

  • Industrial Internships & Expert Sessions

Skills Acquired

AI & ML Model Development
Data Visualization & Analysis
Python for Intelligent Systems
Innovative Problem Solving

Career Opportunities

AI Developer / ML Engineer
Data Scientist
BI Analyst
Cloud AI Engineer
Robotics Programmer
AI Research Assistant

Why Choose B.Sc. CS (AI)?

  • High-demand career in future technologies and intelligent systems.
  • Specialized industry-focused curriculum (ML, NLP, Computer Vision).
  • Excellent salary and rapid growth opportunities in the tech sector.
  • Strong foundation for research, innovation, and post-graduation.
  • Opportunities in top-tier global IT and technology companies.