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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.

Attention Please !

Amrita Vishwa Vidyapeetham has not appointed any Agent or Third-Party Client for securing admission in any programme. Students are hereby requested to contact only the toll-free number on our website for any admission related queries.

– Issued In Public Interest By Directorate Of Admissions And Academic Outreach

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
Course Code Type Course L T P Cr
24MU601 FC Digital Manufacturing 3 0 0 3
24MU602 FC Mechatronics System Design 3 0 3 4
24MU603 SC AI and Machine Learning 2 0 3 3
24MU604 SC Additive Manufacturing 2 0 0 2
24MU605 SC Sustainable Manufacturing 3 0 0 3
24MU606 FC Programming for Automation 1 0 3 2
24MU681 SC Automation Lab 0 0 3 1
22AVP103 HU Mastery Over Mind 1 0 2 2
23HU601 HU Career Competency I* 0 0 3 P/F
    Credits   20
* Non-credit course
Semester II
Course Code Type Course L T P Cr
24MU611 SC Process Control and Automation 3 0 3 4
24MU612 SC Robotics and Autonomous Systems 3 0 3 4
24MU613 SC IIoT and Digital Twin 2 0 3 3
E* Elective I 3 0 0 3
E* Elective II 3 0 0 3
E* Elective III 3 0 0 3
23HU611 HU Career Competency II 0 0 3 1
24RM603 Research Methodology P/F
Credits 21
*Can opt for NPTEL/ Swayam courses with prior approval from the Department
Semester III
Course Code Type Course L T P Cr
24MU798 Dissertation Phase I 10
Credits 10
Semester IV
Course Code Type Course L T P Cr
24MU799 Dissertation Phase II 16
Credits 16

Total credits: 67

Electives
Course Code Course L T P Cr
Stream 1: Automation Technologies
24MU631 Virtual and Augmented Reality 2 0 3 3
24MU632 Real-Time Operating Systems 3 0 0 3
24MU633 Machine Vision Systems 3 0 0 3
24MU634 Mobile Robotics 2 0 3 3
24MU635 Cyber-Physical Systems 3 0 3 3
24MU636 Smart Sensors 3 0 0 3
24MU637 Automotive Automation 3 0 0 3
Stream 2: AI in Manufacturing
24MU641 Explainable AI for Manufacturing 3 0 0 3
24MU642 Deep Reinforcement Learning 3 0 0 3
24MU643 Big Data Analytics for Manufacturing 3 0 0 3
24MU644 Cyber Security in Manufacturing 3 0 0 3
24MU645 Cloud Computing 3 0 0 3
Stream 3: Manufacturing and Management
24MU651 Advanced Manufacturing Processes 3 0 0 3
24MU652 Intelligent Manufacturing Systems 3 0 0 3
24MU653 Modeling and Simulation of Manufacturing Systems 2 0 3 3
24MU654 Optimization Techniques in Engineering 2 0 3 3
24MU655 Product Life Cycle Management 3 0 0 3
24MU656 Logistics and Supply Chain Management 3 0 0 3
24MU657 Reliability Engineering 3 0 0 3
24MU658 Advances in Materials Science and Characterization 3 0 0 3
24MU659 Lean Manufacturing 3 0 0 3

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 2020

141

BRICS Rankings 2020

801–1000th

World University Rankings 2020

168th

BRICS University Rankings 2020

7th

India University Rankings 2024

18th

Overall Rankings 2024
ranking
7th Ranked
University in India
ranking
Amrita Ranked No.1 in India Top 100 in The World
ranking
Topmost
‘A++’ Grade

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