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Introduction

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  • Newer Industrial revolutions changed the way companies manufacture, improve, and distribute their products. Manufacturers are integrating new technologies, including Internet of Things (IoT), digital twins, cyber physical systems, and AI and machine learning into their production facilities and throughout their operations. The smart factories are equipped with advanced sensors, embedded software and robotics that collect and analyze data and allow for better decision making.
  • These digital technologies lead to increased automation, predictive maintenance, self-optimization of process improvements and, above all, a new level of efficiency and responsiveness to customers which were not previously possible.
  • The program in manufacturing and automation provides an in depth understanding of wide range of domains like advanced manufacturing processes, additive manufacturing, process automation, virtual instrumentation, sustainable manufacturing, lean manufacturing, Internet of things, machine learning and AI driven smart factory concepts which helps the graduates to develop their skills to suit the current industrial needs and competitiveness.

Program Overview

Program Objective

Analyze and apply the acquired knowledge in engineering principles, automation technologies and artificial intelligence to model and develop sustainable, green & efficient automation systems for various manufacturing processes/Industries

Program Outcome
  • The program in manufacturing and automation provides an in depth understanding of wide range of domains like advanced manufacturing processes,
    additive manufacturing, process automation, virtual instrumentation, sustainable manufacturing, lean manufacturing, Internet of things, machine learning
    and AI driven smart factory concepts which helps the graduates to develop
    their skills to suit the current industrial needs and competitiveness.
  • Develop the ability to collect, analyze, and interpret data from manufacturing
    processes to make decisions and optimize production using AI/ML techniques
  • Able to integrate technologies such as hydraulics, pneumatics, PLC, robots,
    SCADA, programming, electronics and controls to develop automated manufacturing solutions
  • Explore new tools and technologies to simulate the entire product life cycle to
    minimize waste within the manufacturing systems and to develop sustainable
    manufacturing processes.

Curriculum

Semester I
Digital Manufacturing and Industry 5.0
Mechatronics System Design
Additive Manufacturing
AI and Machine Learning
Sustainable Manufacturing
Automation Lab
Programming for Automation
Semester II
Process Control and Automation
Robotics and Autonomous Systems
IIoT and Digital Twin
Virtual and Augmented Reality
Elective II
Automation Lab II
Semester III

Dissertation Phase I

Semester IV

Dissertation Phase II

Automation Technologies Stream
Micro Controllers and Embedded Systems
Real Time Operating Systems
Machine Vision and Inspection
Automotive Automation
Virtual Instrumentation and Graphical User Design
Mobile Robotics
Cyber Physical Systems
Smart Sensors
AI in Manufacturing Stream​
Explainable AI in manufacturing
Deep Reinforced Learning
Bigdata Analytics for Manufacturing
Cyber Security in Manufacturing
Cloud Computing
Manufacturing and Management Stream
Advanced Manufacturing Processes
Intelligent Manufacturing Systems
Modeling and simulation of manufacturing systems
Product Life Cycle Management
Logistics and Supply Chain Management
Reliability Engineering
Lean Manufacturing
Advanced Metrology and Sensing Systems

Labs / Software

  • Advanced Manufacturing Lab
  • CAD/CAM Lab
  • Pneumatic/ Hydraulics/Electropneumatic Lab
  • Mechatronics Lab
  • Instrumentation Lab
  • Industrial Process Automation Lab
  • IoT Lab
  • Condition Monitoring Lab
  • Additive Manufacturing Lab
  • System Simulation Lab
  • Robotics Lab

Skills Acquired​

Automation Technologies

  • Design of Mechatronic System
  • PLC/ Robot/SCADA Programming for automation applications
  • Graphical User Interface Design
  • Design and Development of Human Machine Interface
  • Use of VR and AR Technologies in Manufacturing Automation

AI and ML for Manufacturing

  • Data Acquisition, Signal Processing and Signal Analysis
  • Development of Predictive Model using ML / Deep Learning algorithms 
  • IoT and IIoT Implementation
  • Design and Development of Digital Twin

Manufacturing and Management

  • Simulation of Tool Path in Subtractive and Additive Manufacturing (CAM/AM)
  • Implement sustainability and smart manufacturing concepts
  • Simulation of manufacturing systems to identify the bottleneck and improve the process
  • Numerical Simulation of Manufacturing Processes

Recruiters

International Opportunities

International Opportunities: Student Exchange Programs/ Study Abroad Programs/ Dual Degree Programs/Research Internship Programs

Research, MoU,
Adjunct Faculty

THE World Rank: 1

Research, 
Adjunct Faculty

THE World Rank: 3

Research Collaboration,
Adjunct Faculty

THE World Rank: 4

Research, MoU,
Live-in-Labs®

THE World Rank: 7

Research,
MoU

THE World Rank: 16

Research, MoU, Study Abroad

THE World Rank: 31

Research, MoU, Student Exchange,

THE World Rank: 43

Research, Global Study, MoU, Internship, Adjunct Faculty

THE World Rank: 55

Research, MoU, Live-In-Labs®

THE World Rank: 67

Research, MoU, Student Exchange

THE World Rank: 73

Research, Global Campus,
MoU, Dual Degree, MoU

THE World Rank: 104

Student Exchange, Dual Degree, Joint Ph.D., Adjunct Faculty

THE World Rank: 138

Joint Center, Visiting Lecture, Joint PhD, Live-In-Labs®

THE World Rank: 143

Student Exchange, MoU, Research, Integrated Program

THE World Rank: 250

Research, Student Exchange Dual degree, Joint PhD, Live-In-Labs®

THE World Rank: 157

Agastya Saimanihar
Design Engineer, GTBC, Ford​

The PG program grooms a novice Mechanical Engineering graduate to become a knowledgeable and confident professional who can contribute to academia and industry alike. Two years in Amrita as a M. Tech student were phenomenal for me. It increased and refined my core knowledge and helped to achieve the best employee award for implementing the automation solutions ​

Nivedhitha Noble
Engineer Conveyance, EATON India Innovation Center​

Excellent learning infrastructure, career guidance and training, research opportunities and highly qualified and motivated faculty are the notable positives from Amrita during my 2 years of Masters program​

Vandana Pai
Senior Engineer Conveyance, Bosch Global Software Technologies​

Master’s program at Amrita helped me to enrich my knowledge and skills as required by the Industry. Learning environment, facilities for research and the faculty at Amrita are truly commendable.

Narendran D
Graduate Trainee, Hyundai Motor India Pvt Ltd​

Amrita Vishwa Vidyapeetham is impressive innumerous aspects- in terms of the beautiful campus, multitudes of activities taking place all round, a serene atmosphere in the evening time. It offers opportunities for most any interest one puts mind into academics, it has some excellent faculty that inspire with their passion in their field. During the course additional workshops do offer insights into general developments in the field

Vijay V S
Graduate Trainee Ashok Leyland​

The experience at Amrita was enriching in terms of technical skills and research training, which provided an opportunity to launch my carrier very successfully. Teachers are interested in students well being and they always make sure that every hour is educative and informative. The Manufacturing Engineering program offered at Amrita is highly industry oriented and intense in nature. The course enhanced my understanding of both the design and manufacturing processes that are employed in the industry today​

Mr. Sabiq
Exchange Program

Mr. Sabiq, a post graduate student from this PG program has received an opportunity to study at University of Porto, Portugal. He was selected to go to University of Porto through the Merging Voices Erasmus+ Program. He has completed a project titled, ‘Uncertainty Simulation in Lot Sizing and Scheduling with Parallel Machines’.​

Why Amrita

The top reasons to choose Amrita for your career

601-800th

World University Rankings 2019

141

BRICS Rankings 2020

801–1000th

World University Rankings 2019

168th

BRICS University Rankings 2020

7th

India University Rankings 2023

15th

Overall Rankings 2023
ranking
7th Best
University in India
ranking
Amrita Ranked No.1 in India Top 100 in The World
ranking
Topmost
‘A++’ Grade

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