Computer Science Engineering

B.Tech. in Computer Science & 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 (Deemed-to-be 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

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
JGI Global Campus
Faculty of Engineering & Technology
45th km, NH - 209, Jakkasandra Post
Bangalore - Kanakapura Main Road
Ramanagara District - 562 112
+91 80 2757 7200
+91 7337618222
Admissions Office
JGI Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
+91 7337618222
Curriculum Structure & Teaching
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
  • Mathematical for Computer Science
  • Artificial Intelligence
  • 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
  • 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
  • Computer Networks
  • Design & Analysis of Algorithms
  • Logic Programming and Uncertainty in Artificial Intelligence
  • IT Workshop (Python)
  • Organizational Behavior
  • Elective – I
  • Knowledge Representation and Reasoning
  • Computer Human Interface
  • Embedded Systems
  • Computer Networks Lab
  • Design & Analysis of Algorithms Lab
  • Sensor Technologies
  • Elective-II
  • Fuzzy Logic and Application
  • Speech Processing
  • Data Mining
  • Elective-III
  • Natural Language Processing
  • Real Time Data Processing
  • Probabilistic Graphical Methods
  • Open Elective-I
  • Digital Image Processing
  • Computer Graphics
  • Data Visualization
  • Project-1
  • Sensor Technologies Lab
  • Elective - IV
  • Genetic Algorithm and Applications
  • Robotics
  • Graphical Models and Bayesian Networks
  • Elective-V
  • Machine Learning Algorithm
  • NoSQL Databases
  • Design and Analytics of Experiments
  • Open Elective-II
  • Deep Learning
  • Pattern Recognition
  • Advanced Big Data Analytics
  • Elective-IV Lab
  • Project Work-II
  • Open Elective-III
  • Reinforcement Learning
  • Recommender System
  • Time Series Analysis
  • Open Elective-IV
  • Application of AI and ML in Robotics
  • Expert System
  • AI Platforms
  • Internship/ Project work –III