This multi-specialization B.Tech program offers diverse streams including Mechanical Engineering, Artificial Intelligence & Machine Learning, Cyber Security, Data Science, Cloud Computing, and Information Technology. Designed for modern engineers, these courses blend foundational engineering knowledge with future-ready skills, supported by industry projects and advanced labs.

Prerequisites

• 10+2 with Physics, Chemistry, and Mathematics (PCM)

• Recommended: Computer Science for IT/AI/Cyber-related streams

Syllabus Overview

Mechanical Engineering

• Engineering Mechanics

• Thermodynamics

• Manufacturing Processes

• Machine Design

• CAD/CAM

Artificial Intelligence & Machine Learning

• Python Programming

• Neural Networks

• Deep Learning

• Computer Vision

• Natural Language Processing

Cyber Security

• Ethical Hacking

• Network Security

• Cryptography

• Cyber Laws

• Penetration Testing

Data Science

• Statistics for Data Science

• Data Mining

• Big Data Analytics

• Data Visualization

• Machine Learning

Cloud Computing

• Virtualization

• Cloud Architecture

• AWS, Azure, Google Cloud

• DevOps Tools

• Serverless Applications

Information Technology (IT)

• Programming Languages (C++, Java, Python)

• Database Systems

• Operating Systems

• Web & Mobile App Development

• Software Engineering

Learning Outcomes

Students will:

• Gain hands-on knowledge through labs, coding, simulations, and projects

• Become industry-ready in both traditional and tech-driven roles

• Be capable of solving real-world engineering and IT problems

• Qualify for roles in core, IT, R&D, analytics, cybersecurity, or cloud industries

Admission Requirements

• 10+2 (PCM) with at least 50% aggregate

• JEE Main score preferred or merit-based admission

• College-level counseling and document verification