Announcement:
Admissions are now open for the Academic Year 2026, inviting aspiring students to join our institution and take the next step toward academic excellence and a successful future.
Admissions are now open for the Academic Year 2026, inviting aspiring students to join our institution and take the next step toward academic excellence and a successful future.
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B.Sc with Artificial Intelligence and Data Science

Build intelligent systems and make data-driven decisions for future innovations.

Why B.Sc CS AI & DS ?

The fields of Artificial Intelligence and Data Science are transforming industries by enabling intelligent decision-making, automation, and data-driven innovations across healthcare, finance, smart cities, education, and beyond.

About B.Sc CS AI & DS

Builds strong managerial, leadership, and technical skills with critical thinking and problem-solving abilities. Provides practical exposure and prepares students for diverse career opportunities.

Program Overview

The B.Sc. Artificial Intelligence and Data Science programme offers a forward-looking curriculum designed to meet current industry and academic requirements. The programme focuses on core areas such as Artificial Intelligence, Machine Learning, Data Science, Big Data Analytics, Python Programming, Cloud Computing....

Key Focus Areas

Industry-Oriented Curriculum

Designed considering latest academic trends and industry expectations

Research Outcomes/h4>

Incorporate cutting-edge research in AI and Data Science

Strong Fundamentals

Build strong theoretical foundations in computing and mathematics

Analytical Thinking

Develop critical thinking and problem-solving abilities

Program Overview

The B.Sc. Artificial Intelligence and Data Science programme offers a forward-looking curriculum designed to meet current industry and academic requirements. The programme focuses on core areas such as Artificial Intelligence, Machine Learning, Data Science, Big Data Analytics, Python Programming, Cloud Computing, Cyber Security, and Internet of Things (IoT), with a strong emphasis on theoretical foundations and analytical approaches.

Offered by the School of Intelligent Systems and Data Science, the curriculum and teaching pedagogy give equal importance to conceptual understanding and practical exposure. The syllabus is structured in accordance with affiliating university guidelines and is enriched through research-oriented learning, Python-based problem solving, and AI- and Data Science–focused theoretical studies.

Our Faculty

More Faculty »

Frequently Asked Questions

Find answers to common questions about our B.Sc CS AI & DS program

To be eligible for the B.Sc. Artificial Intelligence and Data Science program, candidates must have completed 10+2 or equivalent examination with Mathematics as one of the subjects, and secured a minimum of 50% marks in aggregate.

The B.Sc. Artificial Intelligence and Data Science is a 3-year undergraduate program divided into 6 semesters. Each semester typically lasts for 4-5 months of academic instruction followed by examinations.

  • Data Scientist
  • Machine Learning Engineer
  • AI Engineer
  • Data Analyst
  • Business Intelligence Analyst
  • Software Developer
  • Cloud & AI Specialist
  • Research and Development Engineer

Program Features

Hands-on training in Artificial Intelligence, Data Science, and Programming

Industry-oriented curriculum with real-time projects and case studies

Strong foundation in Python, Machine Learning, Data Analytics, and Cloud

Internships, workshops, and industry interaction for practical exposure

The curriculum is designed to combine academic knowledge with practical industry exposure. Students undergo internships, mini-projects, and industry-based training to gain real-world experience in Artificial Intelligence, Data Science, and emerging technologies.

Specialized Electives

Elective – I

  • Big Data Analytics
  • Cloud Computing
  • Deep Learning
  • Cyber Security
  • Internet of Things

Elective – II

  • Natural Language Processing
  • Data Visualization
  • Digital Image Processing
  • Robotics Process Automation
  • Blockchain Technology

Project Structure

Students undergo internship training to gain real-world industry experience.

Mini projects are included in each semester to strengthen practical knowledge.

A major final-year project is carried out in the last semester based on AI & Data Science.

Value-Added Courses (VACs)

  • Full Stack Web Development
  • Python for Data Science
  • Machine Learning with AI
  • Cloud Computing & DevOps
  • Cyber Security & Ethical Hacking
  • Data Analytics & Visualization Tools

Strong programming skills in Python and modern technologies

AI, Machine Learning, and Data Science expertise

Analytical thinking and problem-solving abilities

Project development and research skills

Communication and teamwork skills

Industry-ready technical and professional skills

Yes, the institution provides dedicated placement assistance and career guidance.

Students receive training in aptitude, coding, and interview preparation.

Top recruiters from IT, AI, and Data Science industries visit for campus placements.

Department Events

ISDS Inauguration 2026

A new Beginning
2026-06-27

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Academic Collaborations