As industries transition toward Industry 4.0, there is a critical need for engineers who can bridge the gap between traditional electrical systems and autonomous, data-driven intelligence. This program at MITS provides a comprehensive 70-credit framework designed to master the convergence of advanced manufacturing, artificial intelligence, and smart automation.
Advanced Electronics Manufacturing: Gain expertise in the complete product lifecycle, from PCB design and semiconductor packaging to quality control using Six Sigma and international industry standards.
Industrial IoT and Automation: Master the hierarchy of smart factories by integrating PLC programming, SCADA systems, and IIoT gateways with edge and cloud-based platforms.
Machine Learning & Data Analytics: Apply advanced statistical modeling, pattern discovery, and reinforcement learning to optimize industrial processes and enable predictive maintenance.
Embedded System Design: Develop high-performance, low-power industrial solutions using the ARM Cortex-M series, focusing on real-time constraints and hardware-software co-design.
Specialized Electives & Digital Twins: Explore cutting-edge domains such as cyber-physical modeling, computer vision for industrial inspection, and sustainable engineering practices.
Industrial Automation Engineer: Design and implement smart factory hierarchies using PLC, SCADA, and HMI systems integrated with IIoT architecture.
IIoT Solutions Architect: Develop end-to-end communication frameworks for smart manufacturing, connecting sensor nodes to edge and cloud platforms.
Machine Learning Engineer (Manufacturing): Create predictive maintenance models and anomaly detection algorithms specifically for industrial hardware and noisy sensor data.
Industrial Data Scientist: Apply big data analytics and statistical inference to optimize complex manufacturing processes and production quality.
Embedded Systems Developer: Design real-time intelligent systems using the ARM Cortex-M ecosystem for low-power industrial applications.
Computer Vision Engineer: Develop automated quality inspection systems and robotic vision for smart manufacturing environments.
Digital Twin Specialist: Build cyber-physical models and virtual representations of industrial assets to simulate and improve system performance
M.Tech program in Industrial Intelligent Systems is offered by the Department of Electrical and Electronics Engineering (EEE) at MITS (Autonomous), in industry collaboration with NeST Edulink.
For Inquiries, Contact:
Dr. Joyce Jacob - 9496822326
Mr. John Jacob - 9946883338
