B.Sc. in Artificial Intelligence and Data Analytics

(Under NEP – Multidisciplinary & Skill-Based Programme)

Programme Overview

The Bachelor of Science in Artificial Intelligence and Data Analytics is a future-focused undergraduate programme designed to equip students with strong foundations in AI, Machine Learning, Data Science, and Analytics. The programme blends theoretical knowledge, practical skills, hands-on projects, internships, and industry exposure, preparing graduates for the rapidly evolving digital economy.

Structured under the National Education Policy (NEP) framework, the programme offers multiple exit options, flexibility in learning, and strong emphasis on employability, research, and innovation.

Programme Objectives

• To build strong fundamentals in Artificial Intelligence, Data Analytics, and Computer Science
• To develop skills in data handling, statistical analysis, machine learning, and AI models
• To provide hands-on experience through labs, projects, internships, and community engagement
• To nurture problem-solving, critical thinking, and ethical AI practices
• To prepare students for industry roles, higher studies, research, and entrepreneurship

Key Highlights

• NEP-aligned multiple exit options (Certificate, Diploma, Degree, Honours)
• Industry-relevant curriculum with practical and project-based learning
• Exposure to AI tools, programming languages, and data platforms
• Internships, On-the-Job Training (OJT), and Community Engagement Projects
• Focus on emerging technologies and real-world applications
• Skill enhancement through value-added and ability enhancement courses

Programme Structure

The programme is spread over three/four years (six/eight semesters) with progressive learning outcomes:

• Year 1: Foundations in computing, mathematics, statistics, and programming
• Year 2: Core concepts in data analytics, databases, and AI fundamentals
• Year 3: Advanced AI, machine learning, big data, and domain-specific applications
• Year 4: Internship, research project, industry exposure, and specialization

Curriculum Highlights

• Programming for Data Analytics
• Statistics and Mathematics for AI
• Data Visualization and Data Mining
• Machine Learning and Deep Learning
• Artificial Intelligence Applications
• Big Data Analytics
• Cloud Computing and AI Platforms
• Ethics in AI and Data Privacy
• Internship / OJT / Final Project

Eligibility Criteria

• Pass in 10+2 or equivalent from a recognized board
• Mathematics as a compulsory subject in 12th with at least 60% marks in it
• Admission as per institutional and university norms

Teaching & Learning Methodology

• Interactive lectures and lab sessions
• Hands-on coding and data analysis
• Case studies and real-world problem solving
• Industry talks, workshops, and certifications
• Internships, projects, and community engagement

Career Opportunities

Graduates of this programme can pursue careers such as:

• Data Analyst
• AI Engineer
• Machine Learning Engineer
• Business Intelligence Analyst
• Data Scientist
• AI Research Assistant
• Software Developer
• Data Engineer

They can also opt for higher studies, research programmes, or entrepreneurial ventures in AI and analytics.

Why Choose This Programme?

• High demand for AI & Data Analytics professionals
• Strong balance of theory, practice, and industry exposure
• NEP-based flexibility and multidisciplinary learning
• Career-oriented and future-ready curriculum