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M.Tech in Intelligent Systems (Internet of Things)

Why take this course?

M. Tech in Intelligent Systems with specialization in IoT prepares students to obtain knowledge on new age career opportunities in IoT. The program consists of topical areas dealing with concepts of Sensors Technology, Embedded Programming, Embedded Platforms, Data Base concepts, Machine learning techniques, Big Data Analytics, Data Visualization techniques and Artificial Intelligence which require students to acquire knowledge, complete understanding and contextually appeal on learning. IoT market has enormous potential and intends to grow across industries in manufacturing, automotive, transportation, smart homes, heath care etc. IoT is set to become a major differentiator in driving the next generation of services and products. There is an exponential increase in demand of Internet of Things skilled professionals and the companies are in constant look for skilled professionals who can bridge the gap of their decision and feasible implementation. IoT brings brighter career opportunity for skilled IoT professionals in telecom, medical, pharmacy, Automotive, Smart Cities and many more.

What will I experience?

 

What opportunities might it lead to?

Some of the market and career growth opportunities are listed below.

  • Industrial data scientists
  • Robot coordinator
  • IoT solution architect
  • Industrial computer engineer / programmer

 

Degree Awarded

Master of Technology

Course Commencement

August 2019

Eligibility

B.E/B.Tech in Electronics and Communication, Electrical and Electronics or Computer Science Engineering. M.Sc in Electronics.

Study Campus

Admissions Office



Curriculum Structure & Teaching

I Semester
  • Sensor Technology
  • Embedded System
  • Introduction of IOT
  • Department Elective – 1
  • Python Programming
  • Real Time Embedded System
  • Information Security
  • Embedded Protocols
  • Embedded System Lab
  • Introduction to AI
  • Research Methodology
  • Mandatory Course-1        

II Semester
  • Communication Protocol and Networks
  • Advanced Embedded System
  • Cloud Computing
  • Department Elective – 2
  • Big Data Analytics
  • Digital Image Processing
  • Web Technologies
  • Industrial Automation using PLC
  • Department Elective – 3
  • Machine Learning
  • Digital Image Processing
  • Mobile Application Development
  • Industrial IOT
  • Machine Learning Lab
  • Mini Project with Seminar
  • Mandatory Course - 2


III Semester
  • IOT System Design
  • Department Elective – 4
  • Advanced Machine Learning
  • Natural Language Processing
  • Neural Networks
  • Virtual Reality
  • Project Phase 1/Internship

IV Semester
  • Project Work and Dissertation