Last Date to Apply : May 2, 2021
All courses are AICTE approved

 

GATE Candidates - Eligible for DIRECT Admissions
Non-GATE candidates - Online Interview Process

(NO Entrance exam required this year)

 

 

M. Tech. in Industrial Intelligent Systems is a program offered at the School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore campus.

Nowadays, the demand for intelligent systems in modern industries are growing in a fast pace. Hence it is essential to have a spectrum of engineering knowledge rather than confined one to meet the industrial challenges. In this view, the university is offering M.Tech. Industrial Intelligent systems (IIS) so as to impart integrated cutting-edge technology knowledge for the students. Intelligent systems are revolutionizing a variety of industries, including manufacturing, engineering, healthcare, transportation and logistics etc,. M. Tech. IIS offers the next generation of solutions, powered by computing and artificial intelligence to meet the industrial challenges.

Program Objectives:

  • To focus on Computational Intelligence, Embedded computing systems, and data interpretation for the development of industrial systems applications.
  • To provide the essential knowledge and practical experience needed to become an Intelligent Systems specialist both locally and globally.

Program Educational Objectives (PEOs):

  • PEO 1 Graduates will be able to apply Intelligent Systems concepts, techniques and methods to solve varied problems across multiple domains.
  • PEO 2 Graduates will be proficient in designing and developing Intelligent Systems through the effective use of knowledge and data engineering tools, so as to excel in modern industry, academia or research.
  • PEO 3 Graduates will be manifested for their adherence to professional, social and ethical responsibilities in implementing Intelligent industrial solutions

Program Outcomes (POs)

  • PO1 An ability to independently carry out research /investigation and development work to solve practical problems
  • PO2 An ability to write and present a substantial technical report/document
  • PO3 An ability to demonstrate a degree of mastery over the area of Industrial Intelligent Systems, with the mastery at a level higher than the requirements in the bachelor‟s in Electrical & Electronics Engineering
  • PO4 An ability to apply mathematics, science, engineering fundamentals in modeling and designing Intelligent systems to solve industrial problems
  • PO5 An ability to build competency and skills necessary to create an Intelligent System by appropriate methodology and modern engineering/IT tools used in the industry
  • PO6 An ability to develop professionalism by engaging in life-long learning along with societal, ethical and environmental responsibility.

Duration: Two years 

Eligibility Criteria 

  • B. E. / B. Tech. (Electronics and Communication, Electronics and Instrumentation, Electrical and Electronics, Instrumentation and Control Engineering)

Thrust Areas in Research

  • Industrial Robotics
  • Industrial Automation
  • Computer Vision
  • Human Computer Interaction
  • Cyber Physical Systems

Facilities & Infrastructure

A well-equipped laboratory to facilitate the research needs of graduate students includes FPGA, Zynq-7000 ARM/FPGA SoC, DSP processors, PLC training kit, NI myRIO, NI myDAQ and software tools like Xilinx Vivado Design Suite, MATLAB, LabVIEW etc

Curriculum

First Semester
Course Code Type Course L T P Cr
20MA603 FC Advanced Mathematics 3 1 0 4
20IS601 FC Computer based Industrial Control 3 0 0 3
20IS602 FC Advanced Control System 3 0 0 3
20IS611 SC Data Analytics and Data Mining 2 0 2 3
20IS612 SC Embedded System design 2 0 0 3
20IS613 SC Modeling and Simulation Lab 0 0 3 1
18HU601 HU Amrita Values Program*       P/F
18HU602 HU Career Competency I*       P/F
  17
* Non-Credit Course
Second Semester
Course Code Type Course L T P Cr
20IS603 FC Architecture of Intelligent Systems 3 0 0 3
20IS614 SC Computational Intelligence 2 0 2 3
20IS615 SC Fault Diagnostic Systems 3 0 2 4
  E Elective - I 3 0 0 3
  E Elective - II 3 0 0 3
20IS616 SC Industrial Electronics Laboratory 1 0 2 2
20RM600 SC Research Methodology 2 0 0 2
18HU603 HU Career Competency II 0 0 2 1
  21

 
Third Semester
Course Code Type Course L T P Cr
  E Elective – III* 3 0 0 3
  E Elective – IV* 3 0 0 3
20IS798 P Dissertation       8
  14
*Elective-III and Elective-IV can be MOOC courses.
Fourth Semester
Course Code Type Course L T P Cr
20IS799 P Dissertation       12
Total 64

List of Courses

Foundation Core
Course Code Course L T P Cr
20MA603 Advanced Mathematics 3 1 0 4
20IS601 Computer based Industrial Control 3 0 0 3
20IS602 Advanced Control System 3 0 0 3
20IS603 Architecture of Intelligent Systems 3 0 0 3
Total 13
Project Work
Course Code Course L T P Cr
20IS798 Dissertation       8
20IS799 Dissertation       12
Subject Core
Course Code Course L T P Cr
20IS611 Data Analytics and Data mining 2 0 2 3
20IS612 Embedded System design 2 0 2 3
20IS613 Modeling and Simulation Lab 0 0 3 1
20IS614 Computational Intelligence 2 0 2 3
20IS615 Fault Diagnostic Systems 3 0 1 4
20IS616 Industrial Electronics Laboratory 0 2 2
20RM600 Research Methodology 2 0 0 2
Total 18


 
Electives
Course Code Course L T P Cr
20IS701 Industrial IoT 3 0 0 3
20IS702 Real time Operating Systems 3 0 0 3
20IS703 Transducer Design 3 0 0 3
20IS704 Electronic data converters 3 0 0 3
20IS705 Hardware Software Co-design 3 0 0 3
20IS706 Reconfigurable Computing 3 0 0 3
20IS707 Industrial Robotics 3 0 0 3
20IS708 Human Machine Interface 3 0 0 3
20IS709 Communication systems for industrial networking 3 0 0 3
20IS710 Artificial Intelligence for Smart Grids 3 0 0 3
20IS711 Cyber Security For Industrial Systems 3 0 0 3
20IS712 Deep Learning 3 0 0 3
20IS713 Operations Research 3 0 0 3
Semester I
Type Course L T P Cr
FC Advanced Mathematics 3 0 0 3
FC Computer based Industrial Control 3 0 0 3
FC Advanced Control System 3 0 0 3
SC Data Analytics and Data Mining 2 0 2 3
SC Embedded System design 2 0 2 3
SC Modeling and Simulation Lab 0 0 3 1
HU Amrita Values Program*   P/F
HU Career Competency I*   P/F
Credit 16
Semester II
Type Course L T P Cr
FC Architecture of Intelligent Systems 3 0 0 3
SC Computational Intelligence 2 0 2 3
SC Fault Diagnostic Systems 3 0 2 4
E Elective - I 3 0 0 3
E Elective - II 3 0 0 3
SC Industrial Electronics Laboratory 0 0 3 1
SC Research Methodology 2 0 0 2
HU Career Competency II 0 0 2 1
Credit 20
Semester III
Type Course L T P Cr
E Elective – III* 3 0 0 3
E Elective – IV* 3 0 0 3
P Dissertation   8
Credit 14
*Elective-III and Elective-IV can be MOOC courses
Semester IV
Type Course Cr
P Dissertation 12
Total 62
   
   
   

List of Courses

Foundation Core
Course L T P Cr
Advanced Mathematics 3 0 0 3
Computer based Industrial Control 3 0 0 3
Advanced Control System 3 0 0 3
Architecture of Intelligent Systems 3 0 0 3
Total 12  
     
     
     
Subject Core
Course L T P Cr
Data Analytics and Data mining 2 0 1 3
Embedded System design 2 0 1 3
Modeling and Simulation Lab 0 0 1 1
Computational Intelligence 2 0 1 3
Fault Detection and Diagnosis 3 0 1 4
Industrial Electronics Laboratory 0 0 1 1
Research Methodology 2 0 0 2
Total 17  
Electives
Course L T P Cr
Industrial IoT 3 0 0 3
Real time Operating Systems 3 0 0 3
Transducer Design 3 0 0 3
Electronic data converters 3 0 0 3
Hardware Software Co-design 3 0 0 3
Reconfigurable Computing 3 0 0 3
Industrial Robotics 3 0 0 3
Human Machine Interface 3 0 0 3
Communication systems for industrial networking 3 0 0 3
AI for Smart Grids 3 0 0 3
Cyber Security For Industrial Systems 3 0 0 3
Deep Learning 3 0 0 3
Operations Research 3 0 0 3
     
Project Work
Course Cr
Dissertation 8
Dissertation 12
   
   
   
   
   

Placements & Internships

Placement Opportunities

With a Master's degree in Industrial Intelligent Systems, the graduates will be able to work in

  • AI and Machine Learning for industrial autonomous systems
  • Software and hardware development for Industrial Systems

Potential scope for employment include Process industries, textile, automobile, healthcare, transportation 

Internship Companies

With the support from Corporate and Industrial Relations Centre (CIR) at Amrita, companies offer industrial internship for one year after the first year of MTech. Most students undergoing internship invariably get absorbed by the same company. Companies offering internship include:

Bosch
ABB
Larsen & Turbo
GE
Continental
Whirlpool
Soliton

Industry Partners

ABB
Schneider Electric
Bosch
Siemens
Honeywell
GE

Collaborations

  • KTH Royal Institute of Technology, Sweden
  • Uppsala University, Sweden
  • Malardalen University, Sweden
  • Politecnico di Milano, Italy
  • University Paderborn Federal Republic of Germany
  • TU Delft

Visit Department of Electrical and Electronics Engineering (Coimbatore Campus) Website

Join Amrita M. Tech. Industrial Intelligent Systems Engineering @ Coimbatore Campus

If you wish to know more about the course please mail to,
mtech@amrita.edu

Year-wise Curriculum & Syllabus

You can join this program at
Degree: 
Postgraduate (PG)
School: 
School of Engineering
Campuses: 
Coimbatore