About the Programme
And will add versatility to the graduates' capabilities. Graduates will be able to adapt flexibly to a wide range of industries, and make contributions in developing new technologies and pioneering new approaches in production. Graduates will also be able to upgrade their knowledge and skills by pursuing their studies in local or overseas universities. The programme prepares graduates to learn how to build robots and gadgets as required in specialized areas such as automation and robotics, wafer fabrication, aerospace or biomedical engineering.
Why Choose This Programme?
Facilities Equipped with State-of-the-Art Resources
Curriculum Fostering Interdisciplinary Learning
Pathway for Enhancing Problem-Solving and Hands-on Experience
Courses Enriched by Industry Collaboration
Nurturing Holistic Development
Opportunities for Engaging in Innovation and Research
Choose Your Track
Areas of Specialization
Build intelligent robotic systems for automation, navigation, and real-world applications.
Develop AI-driven smart machines with perception, learning, and decision-making capabilities.
Design automated industrial systems using PLCs, sensors, and control technologies.
Create intelligent products and digital manufacturing solutions using embedded and IoT technologies."
What You Will Learn
Programme Structure
The programme structure outlines the academic curriculum designed to provide a systematic progression of learning through core subjects, electives, and practical components across semesters, ensuring both theoretical understanding and skill development.
Semester 1 — Sem 1
Semester 2 — Sem 2
Trimester 3 — Sem 3
Semester 4 — Sem 4
Trimester 5 — Sem 5
Semester 6 — Sem 6
Trimester 7 — Sem - 7
Semester 8 — Sem - 8
Eligibility & Fee Structure
Career Paths
Your Career Roadmap
Select a specialisation track to explore the learning journey and career outcomes tailored to your chosen domain.
Programming Fundamentals, Engineering Mathematics, Basic Electronics, Engineering Mechanics, Introduction to Robotics.
Robot Kinematics, Sensors and Actuators, Embedded Systems, ROS and Robot Programming, Autonomous Navigation
Mobile Robotics, Computer Vision, AI for Robotics, Industrial Robotics, Internship and Industry Projects
Python Programming, Engineering Mathematics, Basic AI Concepts, Data Structures, Digital Electronics
Machine Learning, Computer Vision, Intelligent Control Systems, Data Analytics, AI Algorithms
Deep Learning, AI for Robotics, Edge AI Systems, Intelligent Automation, AI-based Projects and Internship.
Electrical Fundamentals, Engineering Drawing, Basic Control Systems, Programming Basics, Industrial Safety.
PLC Programming, SCADA Systems, Industrial Sensors, Control Engineering, Pneumatics and Hydraulics.
Industrial Automation Projects, Smart Factory Systems, Process Control, Industry 4.0 Technologies, Internship
C Programming, Electronic Circuits, Engineering Design, Microprocessor Basics, CAD Fundamentals.
Embedded System Design, IoT Technologies, PCB Design, Microcontrollers, Mechatronics Integration.
Smart Manufacturing Systems, Digital Twin Concepts, Rapid Prototyping, IoT-based Automation, Capstone Projects.
Admission Process
- Register with your Email ID
- Login to the Admission Portal
- Fill the Application Form
- Pay Application Fee
- Entrance Test (If Applicable)
- Assessment
- Interview
- Check login page for result
- If selected, Offer Letter attached
- Pay Course Fee Online
- Complete Admission Process
Ready to Apply?
Applications are open. Deadline: 2026-11-25 23:45:00.