M.Tech in
smart-manufacturing

Architecting the intelligent factories and automated supply chains of the future

4 Years Full Time
Apply Now icon | GHRU Amravati
GHRU Amravati

About Course

The Master of Technology (M.Tech) in Smart Manufacturing at G H Raisoni University (GHRU), Amravati, represents the nexus of mechanical engineering, Industrial Internet of Things (IIoT), and cognitive computational systems. Designed for the technologically astute, this program transcends conventional assembly line engineering. The curriculum provides an immersive exploration into the convergence of cyber-physical systems, collaborative robotics (cobots), and the deployment of scalable digital twins. Students learn to synthesize rigorous manufacturing logic with advanced data science, transforming legacy production facilities into highly optimized, self-regulating smart ecosystems. Graduates emerge not merely as engineers, but as elite architects of Industry 4.0, prepared to lead the multi-trillion-dollar global transition toward autonomous and zero-defect manufacturing.

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Objectives of the Program

  • Industrial IoT and Connectivity: Establish a profound understanding of networking industrial assets using IIoT sensors, SCADA systems, and edge computing to synthesize real-time production intelligence.
  • Digital Twin and Advanced Simulation: Master the creation of virtual replicas of physical assets and factory floors to run stress tests, optimize workflows, and predict failures via high-fidelity simulation.
  • Robotics and Flexible Automation: Explore the kinematics, programming, and integration of industrial robots and autonomous guided vehicles (AGVs) to create adaptive, human-independent manufacturing cells.
  • Data-Driven Manufacturing Analytics: Bridge the gap between operations and IT by utilizing machine learning algorithms and big data analytics to optimize supply chains and achieve predictive maintenance.
  • Advanced Additive Manufacturing: Develop critical expertise in industrial 3D printing technologies (polymers and metals) for rapid prototyping, complex tooling, and custom, on-demand part fabrication.

Study at Raisoni for a successful future & drive your career in the right direction with our M.Tech in smart manufacturing

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Future of smart manufacturing

₹1,100,000/Year* GHRU Amravati

In India, elite digital manufacturing engineers, IIoT architects, and smart factory consultants with specialized postgraduate training command a premium. Starting remunerations at top-tier tech and engineering firms average 9.5 Lakhs annually. Senior Digital Transformation Directors, Principal IIoT Architects, and Plant Automation Heads frequently scale between 30 Lakhs and 45 Lakhs plus.

13.5% Market Growth GHRU Amravati

The smart manufacturing sector is experiencing a robust paradigm shift, projected to sustain a massive Compound Annual Growth Rate (CAGR) of 13.5%. Driven by global supply chain restructurings and the rollout of 5G industrial networks, the demand for automated, data-driven production infrastructure is unprecedented.

The Cyber-Physical Revolution GHRU Amravati

Modern factories are evolving into massive, physical data centers. This exponential growth requires a new breed of engineers capable of not only designing hardware but writing the scripts that allow machinery to self-diagnose, communicate with the cloud, and optimize energy consumption autonomously.

Eligibility

  • Academic Requirement: Bachelor degree (B.E. / B.Tech) in Mechanical Engineering, Production Engineering, Electronics and Communication, Computer Science, Mechatronics, or allied disciplines from a recognized university.
  • Minimum Marks: At least 50% aggregate (45% for reserved categories).
  • Selection: Based on a valid GATE score or performance in the GHRU Entrance Test, followed by a technical interview evaluating automation logic and foundational programming.
  • Skillset: Proficiency in applied physics, analytical system integration, and a willingness to master computational tools like Python or C++ are expected.

Key Details

  • Industry 4.0 and IIoT Lab: A dedicated, state-of-the-art facility at the Amravati campus equipped with programmable logic controllers (PLCs), smart sensors, and automated mechatronics stations for hands-on system integration.
  • Digital Manufacturing Suite: High-performance computing labs featuring industry-standard software for factory simulation and lifecycle management, including Siemens Tecnomatix, PTC ThingWorx, and ANSYS Twin Builder.
  • Centre for Autonomous Systems: A research hub focused on machine vision, human-robot collaboration, and optimizing the Robot Operating System (ROS) for adaptive manufacturing environments.
  • Industry Technical Residencies: Collaborative opportunities with major automation and heavy engineering firms, providing direct exposure to live smart-factory deployments and automated shop-floor operations.

Admission Procedure

  • Notification: The University formally announces the postgraduate admission cycle via its official portal.
  • Application Submission: Candidates must submit a comprehensive application dossier, detailing academic transcripts and relevant technical portfolios involving robotics, 3D printing, or software-driven automation.
  • Technical Screening & Interview A curated list of candidates is invited for a technical and academic interview to assess analytical depth and conceptual clarity regarding modern industrial challenges.
  • Provisional Admission (If Awaiting Final Semester Results) Final-year engineering students may apply. If selected, provisional admission is granted pending the submission of final degree requirements within one month of academic commencement.

Application Rejection Scenarios

  • Applications may be respectfully declined if academic prerequisites are unmet, technical interviews fall below the threshold, or documentation is incomplete.
  • Enrolment: Upon rigorous verification of all credentials and fee remittance, scholars are inducted and assigned a University registration cipher.

Scholars are required to present original documents alongside FOUR sets of attested photocopies upon admission.

    Required Documents:

  • B.E. / B.Tech Degree Certificate & All Marksheets
  • Valid GATE Scorecard (if applicable)
  • 10th and 12th (SSC & HSC) Marksheets
  • Nationality & Domicile Certificate
  • College Leaving / Transfer Certificate
  • Valid Government Identification

    If Applicable:

  • Caste / Category / Non-Creamy Layer Certificates
  • Migration Certificate
  • Industry Internship Certificates or Published Research

Core Skills

  • Industrial IoT (IIoT) and Cyber-Physical Systems Integration
  • Digital Twin Modeling and Factory Simulation (Siemens Tecnomatix)
  • Robotics Programming and Robot Operating System (ROS)
  • Machine Learning and Predictive Maintenance Algorithms
  • Programmable Logic Controllers (PLC) and SCADA
  • Additive Manufacturing and Rapid Tooling
  • Cloud Computing and Cybersecurity for Manufacturing

Career Opportunities

Depending on prior industry experience and domain expertise, graduates typically align with the following trajectories:

Entry Level
  • Smart Manufacturing Engineer
  • IIoT Solutions Developer
  • Robotics Programmer
  • Automation / PLC Engineer
Mid Level
  • Digital Twin Architect
  • Smart Factory Operations Manager
  • Manufacturing Analytics Lead
  • Supply Chain Integration Manager
Senior Level
  • Chief Digital Officer (CDO)
  • VP of Automation and Robotics
  • Principal Industry 4.0 Strategist
  • Tech-Entrepreneur in Industrial AI
Top Recruiters

FAQ

How does this differ from an M.Tech in CAD/CAM?

While CAD/CAM focuses primarily on the design of a specific part and its machining code, Smart Manufacturing focuses on the entire factory ecosystem. You design the automated systems that move the part, the sensors that monitor machine health, and the AI that optimizes the global production schedule.

Yes. Modern industry requires software fluency. You will learn the necessary Python scripting for data analytics, C++ for robotic programming (ROS), and the logic required to program PLCs and microcontrollers to implement Industry 4.0 standards.

Absolutely. Connecting heavy industrial machinery to the internet creates physical safety risks. Understanding how to secure industrial networks and protect automated assembly lines from cyber-attacks is a critical component of the curriculum.

The program emphasizes tools bridging physical engineering with data. You will gain hands-on expertise in factory simulation (Siemens Plant Simulation), IoT platforms (PTC ThingWorx), and data processing environments like MATLAB and Python.

Yes. Through our exclusive industry consortium, we facilitate elite placement drives and research internships with global automation giants, aerospace firms, and heavy machinery manufacturers.

Kimba

Applications of admission are now
open for academic year 2026-2027

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