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B.Tech. in Computer Science and System Engineering (Internet of Things)

Why take this course?

Internet of Things is among the newest innovations in the field of information technology. It's all set to create a huge wave and change the way we receive information. This technology connects devices to each other, and to the people who use it in their daily life. Leading business organizations have started focussing on the opportunities thrown up by Internet of Things; therefore, companies are in search of professionals who have strong foundational knowledge in the concepts of Internet of Things. Jain University is now offering B.Tech in Computer Science and System Engineering with Specialization in Internet of Things for young and talented youth, who want to develop lucrative IT careers.

What will I experience?

Get to know the benefits of a connected world and its necessity for the real world. Here's what one can experience about IoT:

  • The communication between the human world and physical devices, which is a unique experience.
  • The future trends associated with IoT devices and its various components.
  • Extract information from the devices and use it for better enhancement of the techniques used in the business.
  • The use of several tools and techniques that tackle real-world problems, as it analyses and suggests suitable solutions.

What opportunities might it lead to?

Bachelor of technology in Internet of Things specialization opens the door of opportunities for fresh graduates. As more than 300 tech start-ups in India alone are engaged in IoT-related projects, there exists plenty of job opportunities. Here are some of the roles an IoT professional can look forward to in major organizations.

  • IoT Engineer
  • Citizen IoT Scientist
  • IoT App Developer
  • Machine Learning Engineer
  • IoT Solution Architect
  • IoT System Administrator

Degree Awarded

Bachelor of Technology

Course Commencement

July 2018

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Eligibility

The minimum qualification required is pass in 10+2 or equivalent examination with Physics, Mathematics and English as compulsory subjects along with Chemistry or Biotechnology or Biology or any technical vocational subjects as optional with a minimum of 60% marks (55% in case of SC/ST) taken together in Physics, Mathematics and any one of the optional subjects.

Study Campus

Admission Office



Curriculum Structure & Teaching

I & II Semesters (Common to all the branches)

Physics Cycle

  • Engineering Mathematics –I
  • Physics
  • Communicative English
  • Problem Solving Through Programming
  • Engineering Graphics
  • Physics Lab
  • Problem Solving Through Programming Lab
  • Communicative English Lab

Chemistry Cycle

  • Engineering Mathematics – II
  • Chemistry
  • Basics of Electrical Engineering
  • Workshop Practice
  • Sociology and Elements of Indian History for Engineers
  • Chemistry Lab
  • Electrical Engineering Lab

III Semester
  • Mathematical for Computer Science
  • Economics for Engineers
  • Data Structures using C
  • Object Oriented Programming with JAVA
  • Digital Electronics
  • Data Structures using C Lab
  • Object Oriented Programming using JAVA Lab
  • Digital Electronics Lab
  • Mandatory Course: Energy Studies

IV Semester
  • Database Management Systems
  • Signal and Systems
  • Operating Systems
  • Business Communication and Presentation skills
  • Computer Organization and Architecture
  • Database Management System Lab
  • Signal and Systems Lab
  • Operating Systems Lab


V Semester
  • Computer Networks
  • Design & Analysis of Algorithms
  • IT Workshop (Python)
  • Organizational Behavior
  • Internet of Things
  • Elective – I
  • Information Security
  • Cryptography
  • Software Engineering
  • Computer Networks Lab
  • Design & Analysis of Algorithms Lab

VI Semester
  • Sensor Technologies
  • Formal Languages and Automata Theory
  • Elective-II
  • Microprocessors and Microcontrollers
  • Natural Language Programming
  • Ethical Hacking
  • Elective-III
  • Big Data Analytics
  • Real Time Data Processing
  • Database Security
  • Open Elective-I
  • Digital Signal Processing
  • Agile Methodology
  • IOT Security
  • Project-1
  • Sensor Technologies Lab

VII Semester
  • Elective - IV
  • Embedded System
  • Machine Learning
  • Security Analytics
  • Elective-V
  • Communication Protocol
  • Artificial Intelligence
  • Data Visualization
  • Open Elective-II
  • Digital Image Processing
  • Neural Networks
  • Recommender System
  • Elective-IV Lab
  • Project Work-II

VIII Semester
  • Elective-VI
  • IOT System Design
  • Advanced Embedded System
  • Industrial Automation using Sensors, Actuators and PLC
  • Open Elective-III
  • Mobile Application Development
  • Advance Machine Learning
  • Advanced Embedded System
  • Open Elective-IV
  • Cloud Computing
  • Cloud Management System
  • Infrastructure Solution for Cloud
  • Internship/ Project work –III