The Internet of Things (IoT) landscape has seen significant growth in the last few years and with our MSC IoT course, you will develop both the practical and theoretical skills required to succeed in the IT and electronic space. Our Internet of Things course is suitable for working professionals who wish to delve deeper into the IoT space.
2 years
Any passed Graduate or equivalent through ( 10 +2 + 3) and Mathematics in Higher Secondary of recognized University/ Board . Additionally, In case of Post graduate Diploma qualified in Computer science or statistics , Mathematics is not mandatory.
24000 /-
28 Subjects | Industry Relevant Projects | Assignments | Case Studies
he aim of the Master's Degree Course of Study is forming a new professional figure who can carry out different tasks such as: Embedded System Designer (an expert able to develop software for embedded systems used in IoT systems), IoT System Designer (an expert able to develop IoT innovative systems and complete IoT
The MSc Internet of Things course is for working professionals who wish to enhance their career prospects and take the next step in their career development.
To ensure you received the IoT syllabus, we have collaborated with some of the brightest minds in the industry and in-house faculty members. Live sessions, videos, assignments, cases, and projects are made available to you to enhance your knowledge of the subject matter.
Course code | Title of the Course |
MSC-IOT-101 | Operating Systems |
MSC-IOT-102 | Mobile and Wireless Network Technology |
MSC-IOT-103 | Introduction to Internet of Things |
MSC-IOT-104 | Programming Concepts-Java |
MSC-IOT-105 | Programming in Python |
MSC-IOT-190 | Programming Concepts-Java-LAB |
MSC-IOT-191 | Programming in Python-LAB |
Course code | Title of the Course |
MSC-IOT-201 | Data Analytics for IoT |
MSC-IOT-202 | Machine Learning and Intelligent System |
MSC-IOT-203 | Wireless Sensors and Devices |
MSC-IOT-204 | Cloud Storage and Computing |
MSC-IOT-205 | Embedded System Design and Architecture |
MSC-IOT-290 | Machine Learning and Intelligent System-LAB |
MSC-IOT-291 | Cloud Storage and Computing-LAB |
Course code | Title of the Course |
MSC-IOT-301 | IoT Application Protocols |
MSC-IOT-302 | IoT System Design |
MSC-IOT-303 | Deep Learning |
MSC-IOT-304 | Data Warehousing and Mining |
MSC-IOT-305 | Big Data Systems and Analytics |
MSC-IOT-390 | IoT -LAB |
MSC-IOT-391 | Big Data Systems and Analytics-LAB |
Course code | Title of the Course |
MSC-IOT-401 | IoT Communication Protocols |
MSC-IOT-402 | Performance and Security in IoT |
MSC-IOT-403 | IoT and Entrepreneurship |
MSC-IOT-404 | Advanced Programming for Mobile Devices |
BCEA405 | Advanced Programming for Mobile Devices-LAB |
MSC-IOT-490 | Project Work |
MSC-IOT-491 | Seminar and Viva Voce |
During the duration of our MSc in the Internet of Things program, you will receive continuous support through our mentoring program. With the help of timely progress reports, you will be able to track your progress throughout the course duration. In addition, our mentors are available to address all your non-academic queries as well.
Our MSc program is a unique blend of academics, networking, and peer-to-peer interaction. Our interactive workshops ensure that you connect with your peers and classmates and exchange knowledge and ideas. To ensure you establish a solid industry network, our experts conduct interactive live sessions and panel discussions as well.
Our admission process is quick and simple. Our internal team will review your application and make assessments based on your academic merit, experience, and admission criteria. We will ensure that we keep you abreast of all developments as we go through your application.
The fee structure for our MSc Internet of Things course is as follows:
MSc IoT (Internet of Things) | 1st Year Fee ![]() |
2st Year Fee ![]() |
Exam Fee | 2,000 | 2,000 |
Course Fee | 22,000 | 22,000 |
Fee | 24,000 | 24,000 |
Total Fee | ![]() |
SAARC Countries | Other Countries | ||||
MSc IoT (Internet of Things) | 1st Year Fee ![]() |
2nd Year Fee ![]() |
1st Year Fee ![]() |
2nd Year Fee ![]() |
|
Exam Fee | 3,000 | 3,000 | 100 | 100 | |
Course Fee | 25,000 | 25,000 | 500 | 500 | |
Fee | 28,000 | 28,000 | 600 | 600 | |
Total Fee | ![]() |
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The internet of things online course is a two-year master’s program that imparts both theoretical and practical knowledge in the field of IoT. It is suitable for both IT and electronic graduates and is designed for working professionals as well.
There are several job opportunities available to those who complete a master’s degree in IoT. The field of cybersecurity requires experienced professionals who can help prevent malware and ransomware attacks. One can work in various fields that deal with vast amounts of data such as the pharmaceutical, healthcare, insurance, banking, and IT sectors.
Yes, if you have the relevant experience and degree/certification from a good university, you can have a great career in the IoT field. The average salary for an IoT course graduate is around INR 9, 80,000.
Both courses have their own merits, and it depends on where your interests lie. The data science program will primarily include subjects such as machine learning, artificial intelligence, robotic process automation, Hadoop, Python, etc. The internet of things course will include more IT and electronics-related subjects in both the software and hardware scenarios.
Yes, you can opt for an online course to study for a master’s in the Internet of Things.
The amount of time per week will depend on you. However, the course is designed for working professionals and is highly flexible to work around your work timings.
This course is designed for those who have a background in IT, data science, and electronics. Graduates from these streams will find the MSc IoT course easy to crack. However, any graduate can apply for this course.
You will need to be a graduate or equivalent through (10+2+3) with mathematics at higher secondary from a recognized board. However, if you have a PG diploma in computer science or statistics, mathematics is not compulsory.
Our individualized mentoring programs ensure that all your doubts (academic and otherwise) are resolved promptly.