Universal AI University (UAIU)

B.Tech (Artificial Intelligence & Machine Learning) – Universal AI University

About the Program

The B.Tech in Artificial Intelligence & Machine Learning (AI & ML) at Universal AI University, Karjat (Mumbai) is a future-focused undergraduate engineering program designed to prepare students for high-impact careers in AI, Data Science, and intelligent technologies. The curriculum emphasizes experiential learning, AI lab work, multidisciplinary education, and real-world problem solving, making graduates industry-ready.

Quick Overview

Program Pedagogy (Andragogy Model)

🔹 Experiential learning constitutes 65% of the curriculum

Year-wise Curriculum Structure

Year 1

Semester 1

• Internet of Chemistry Things
• Statistics & Probability
• Basics of Electrical Engineering + Lab
• Problem Solving & Programming + Lab
• Fundamentals of Computer Science
• Personality Development & Communication
• SMART Project + LDP
• IT Workshop
• Indian Constitution

Semester 2

• SDG, Innovation & Entrepreneurship
• Mathematical Concepts for AI
• DBMS with NoSQL + Lab
• Full Stack (HTML, CSS, JS, Python) + Lab
• Environmental Science
• Applied Mathematics – I
• Engineering Physics + Lab
• EDX / NPTEL

Exit Option: Certification

• Basics of 3D Printing
• Digital Marketing

Year 2

Semester 3

• Foundations of Data Science, AI & ML + Lab
• Applied Mathematics – II
• Discrete Mathematics
• Design Thinking & Innovation Lab
• Data Structures + Lab
• Universal Human Values
• Advanced Python Programming + Lab

Semester 4

• Advanced Data Science, AI & ML + Lab
• Data Integration & Processing
• Theory of Computation
• Computer Networks + Lab
• Java Programming
• Mini Project – I
• SIP–1 (Summer Internship)
• EDX / NPTEL

Exit Option: Diploma

• Advanced Web Technology
• Home Applications of IoT

Year 3

Semester 5

• Natural Language Processing + Lab
• AR & VR Applications + Lab
• Time Series Modelling & Forecasting
• Deep Learning (Neural Networks)
• Software Project Management
• Mini Project – II
• AI for Sustainability & Ethics
• EDX / NPTEL

Semester 6

• SIP–2 (Summer Internship)
• Advanced Deep Learning + Lab
• Pattern Recognition

Exit Option: B.Voc

• AI in Agriculture
• Ethical Hacking

Year 4

Semester 7

• Human–Machine Interaction
• Soft Computing + Lab
• Bioinformatics
• Generative AI & Applications
• Cloud Computing for AI/ML + Lab
• Project Phase – I

Semester 8

• On Job Training (OJT)
• Project Phase – II

Electives (SWAYAM / NPTEL):

• Digital Forensics
• Optimization Techniques
• Mobile Computing
• Management / Finance / Language Courses

Eligibility Criteria

Indian Board

• Appeared in JEE / PERA / MHT CET
• Physics, Mathematics & English compulsory
• Chemistry / Technical Vocational subject allowed
• Minimum 70% aggregate in PCM
  OR
• 60% in Diploma Engineering (No backlog)

IB / Cambridge Board

• IB Diploma with minimum 20 points
• Cambridge Board – Minimum 2 subjects

Selection Weightage

Program Highlights

• India’s first multidisciplinary AI curriculum
• 2 Internships (SIP 1 & SIP 2)
• 2 CMAPS – Collaborative Multi-disciplinary Projects
• 1 SMART Project
• 1 Research Paper
• 1 Capstone Project
• 1 SDG-based Sustainability Project
• 1 AI Lab Project
• 31% AI Lab Work
• 65% Experiential Learning
• 3 Years Leadership Development Program

Industry Partnership

LTIMindtree – Strategic academic partner for:

• Curriculum co-creation
• Industry delivery
• Internships
• Final placements

Career Opportunities

Graduates can work as:

• AI Engineer
• Machine Learning Engineer
• Data Scientist
• NLP Engineer
• Robotics & Automation Engineer
• Cloud AI Specialist
• Research Analyst

Industries include IT, Healthcare, Finance, Robotics, Manufacturing, and E-commerce.

Why Choose Universal AI University for AI & ML?

• AI-first residential university ecosystem
• Strong industry alignment
• Heavy focus on labs & real-world projects
• Global exposure & internships
• Leadership, sustainability & innovation driven education

Summary

The B.Tech (AI & ML) at Universal AI University offers a deeply immersive, lab-intensive, and industry-connected learning experience, preparing students for high-growth global careers in Artificial Intelligence and Machine Learning.