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B.Tech Computer Science and Engineering- Internet of Things
Program details
The B.Tech. Computer Science & Engineering (Internet of Things) program offered by UPES School of Computer Science provides students with a comprehensive and in-depth understanding of Internet of Things (IoT) technology. The curriculum spans from foundational concepts to advanced applications, ensuring students develop both theoretical knowledge and practical skills across various IoT components. This includes a thorough exploration of sensors, IoT networks, embedded devices, operating systems, and data analysis techniques.
The program's emphasis on IoT's broad potential is a key feature. Students delve into the transformative impact of IoT across industries such as smart cities, healthcare, Industrial IoT, transportation, insurance, and real estate. This multifaceted exposure equips graduates with the versatility to excel in diverse professional settings. Opportunities abound in roles such as Smart Cities Initiatives, Research and Development (R&D) Centers, manufacturing, energy, utilities, and with IoT-focused companies and startups.
In addition to a robust curriculum, students benefit from mentorship and advisory support throughout their academic journey. This guidance aids in their personal and professional growth, while also fostering a conducive environment for collaborative learning. The program further facilitates practical engagement through thesis or capstone projects. These projects offer hands-on experience in embedded coding, sensor deployment, and data analysis, cementing students' skills and preparing them for the demands of real-world IoT applications. Overall, the B.Tech. Computer Science & Engineering (Internet of Things) program at UPES School of Computer Science provides a comprehensive and dynamic education, empowering students with the expertise and confidence to excel in the evolving landscape of IoT technology.
Program Highlights
- Gain expertise in using diverse microcontrollers like Arduino, Raspberry Pi, ESP8266, ESP32, and more, fostering hands-on skills for IoT device development.
- Students of the B.Tech. Computer Science & Engineering (Internet of Things) program acquire proficiency in programming languages essential for IoT, including C/C++, Python, Java, and JavaScript, empowering you to create versatile IoT applications.
- Develop a deep understanding of various IoT sensors such as temperature, humidity, motion, GPS, and accelerometers, crucial for crafting real-world, sensor-driven solutions.
- Explore key aspects like IoT security, cloud platforms, and programming, equipping you with a solid foundation to create robust and secure IoT systems.
- Access state-of-the-art IoT resources, including development environments, cloud services, and programming labs, enabling practical experimentation and innovation.
- Benefit from a partnership with IBM, leveraging insights from a Centre of Excellence in IoT and staying updated with the latest industry advancements, ensuring real-world relevance in your education.
Future Scope / Industry Trends
The B.Tech. Computer Science & Engineering (Internet of Things) program by UPES School of Computer Science offers a promising future scope within the rapidly expanding Internet of Things (IoT) industry. This field revolves around interconnected physical devices embedded with sensors and software, poised to reshape sectors such as healthcare, agriculture, transportation, manufacturing, and smart cities. The IoT market is set to surge, driven by 5G and edge computing advancements, propelling a surge in IoT devices, services, and solutions. The rise of edge computing ensures real-time analytics and better security. Security concerns will elevate the demand for IoT security experts, safeguarding data from cyber threats. Integrating AI and machine learning into IoT will further enhance device capabilities, while IoT's potential for sustainability and resource optimization will garner attention. With this program, graduates will be poised to tap into a dynamic industry brimming with opportunities and innovation.
Career Opportunities
Graduates of the B.Tech. Computer Science & Engineering (Internet of Things) program at UPES School of Computer Science are equipped with a comprehensive skill set that positions them for a plethora of exciting career opportunities. With a strong foundation in IoT technologies, data analytics, and software development, graduates are primed to excel in roles such as IoT solution architect, embedded systems engineer, data analyst, and IoT software developer. They can find their niche in diverse industries including manufacturing, healthcare, agriculture, and smart cities. Moreover, the program's emphasis on real-world projects and industry collaborations ensures that graduates possess practical experience, enhancing their employability in this rapidly evolving field. As IoT continues to revolutionize industries, UPES graduates are well-prepared to contribute innovatively to the digital transformation landscape.
Placements
The B.Tech. Computer Science & Engineering (Internet of Things) program at UPES School of Computer Science boasts impressive placements, with an average annual package of 11.46 LPA and the highest package reaching an outstanding 26.41 LPA. Renowned companies like Accenture, Amazon India Limited, Barclays, and Capgemini Technology Services India Limited, among others, have consistently recruited from the program. The list of top recruiters also includes esteemed names such as Publicis Sapient, LTI- L&T InfoTech, and ZS Associates, demonstrating the program's strong industry connections and its commitment to providing students with lucrative opportunities in the field of Internet of Things.
Fee Structure
Click here for detailed Fee Structure.
Curriculum
Semester 1
| Course | L | T | P | Credit |
|---|---|---|---|---|
| Linux Lab | 0 | 0 | 4 | 2 |
| Programming in C | 0 | 0 | 3 | 3 |
| Programming in C Lab | 0 | 0 | 4 | 2 |
| Problem Solving | 2 | 0 | 0 | 2 |
| Living Conversation | 2 | 0 | 0 | 2 |
| Advanced Engineering Mathematics – I | 3 | 1 | 0 | 4 |
| Environmental Sustainability and Climate Change - I | 2 | 0 | 0 | 2 |
| Physics for Computer Engineers | 4 | 0 | 0 | 4 |
| Physics for Computer Engineers Lab | 0 | 0 | 2 | 1 |
| TOTAL | 22 |
Semester 2
| Course | L | T | P | Credit |
|---|---|---|---|---|
| Computer organization and Architecture | 3 | 0 | 0 | 3 |
| Data Structures and algorithms | 4 | 0 | 0 | 4 |
| Data Structures and algorithms Lab | 0 | 0 | 2 | 1 |
| Python programming | 2 | 0 | 0 | 2 |
| Python programming Lab | 0 | 0 | 4 | 2 |
| Digital Electronics | 3 | 0 | 0 | 3 |
| Critical Thinking and Writing | 2 | 0 | 0 | 2 |
| Advanced Engineering Mathematics – II | 3 | 1 | 0 | 4 |
| Environmental Sustainability and Climate Change - II | 2 | 0 | 0 | 2 |
| TOTAL | 23 |
Semester 3
| Course | L | T | P | Credit |
|---|---|---|---|---|
| Database Management Systems | 3 | 0 | 0 | 3 |
| Database Management Systems Lab | 0 | 0 | 4 | 2 |
| Discrete Mathematical Structures | 3 | 0 | 0 | 3 |
| Object Oriented Programming | 3 | 0 | 0 | 3 |
| Object Oriented Programming Lab | 0 | 0 | 2 | 1 |
| Operating Systems | 3 | 0 | 0 | 3 |
| Software Engineering | 3 | 0 | 0 | 3 |
| Exploratory-1 | 0 | 0 | 0 | 3 |
| Design Thinking | 0 | 0 | 0 | 2 |
| TOTAL | 23 |
Semester 4
| Course | L | T | P | Credit |
|---|---|---|---|---|
| Artificial Intelligence and Machine Learning | 2 | 0 | 0 | 2 |
| Artificial Intelligence and Machine Learning Lab | 0 | 0 | 2 | 1 |
| Data communication and Networks | 3 | 0 | 0 | 3 |
| Data communication and Networks Lab | 0 | 0 | 2 | 1 |
| Design and Analysis of Algorithms | 3 | 0 | 0 | 3 |
| Design and Analysis of Algorithms Lab | 0 | 0 | 2 | 1 |
| Exploratory-2 | 3 | 0 | 0 | 3 |
| Linear Algebra | 3 | 0 | 0 | 3 |
| PE-1 | 4 | 0 | 0 | 4 |
| PE-1 Lab | 0 | 0 | 2 | 1 |
| TOTAL | 22 |
Semester 5
| Course | L | T | P | Credit |
|---|---|---|---|---|
| Cryptography and Network Security | 3 | 0 | 0 | 3 |
| Formal Languages and Automata Theory | 3 | 0 | 0 | 3 |
| Object Oriented Analysis and Design | 3 | 0 | 0 | 3 |
| Exploratory-3 | 3 | 0 | 0 | 3 |
| Start your Startup | 2 | 0 | 0 | 2 |
| Research Methodology in CS | 3 | 0 | 0 | 3 |
| Probability, Entropy, and MC Simulation | 3 | 0 | 0 | 3 |
| PE-2 | 4 | 0 | 0 | 4 |
| PE-2 Lab | 0 | 0 | 2 | 1 |
| TOTAL | 25 |
Semester 6
| Course | L | T | P | Credit |
|---|---|---|---|---|
| Exploratory-4 | 3 | 0 | 0 | 3 |
| Leadership and Teamwork | 2 | 0 | 0 | 2 |
| Compiler Design | 3 | 0 | 0 | 3 |
| Statistics and Data Analysis | 3 | 0 | 0 | 3 |
| PE-3 | 4 | 0 | 0 | 4 |
| PE-3 Lab | 0 | 0 | 2 | 1 |
| Minor Project | 0 | 0 | 5 | 5 |
| TOTAL | 21 |
Semester 7
| Course | L | T | P | Credit |
|---|---|---|---|---|
| Exploratory-5 | 3 | 0 | 0 | 3 |
| PE-4 | 4 | 0 | 0 | 4 |
| PE-4 Lab | 0 | 0 | 2 | 1 |
| PE-5 | 3 | 0 | 0 | 3 |
| PE-5 Lab | 0 | 0 | 2 | 1 |
| Capstone Project - Phase-1 | 0 | 0 | 5 | 5 |
| Summer Internship | 0 | 0 | 0 | 1 |
| TOTAL | 18 |
Semester 8
| Course | L | T | P | Credit |
|---|---|---|---|---|
| IT Ethical Practices | 3 | 0 | 0 | 3 |
| Capstone Project - Phase-2 | 0 | 0 | 5 | 5 |
| TOTAL | 8 |
Program Elective 24 Credits
| Course | L | T | P | Credit |
|---|---|---|---|---|
| Introduction to IoT, Sensors and Microcontrollers | 4 | 0 | 0 | 4 |
| Introduction to IoT, Sensors and Microcontrollers Lab | 0 | 0 | 2 | 1 |
| IoT Network Architecture and Communication Protocols | 4 | 0 | 0 | 4 |
| IoT Network Architecture and Communication Protocols Lab | 0 | 0 | 2 | 1 |
| Industrial IoT and ARM based Embedded Programming | 4 | 0 | 0 | 4 |
| Industrial IoT and ARM based Embedded Programming Lab | 0 | 0 | 2 | 1 |
| Single Board Computers and IoT Applications Development | 4 | 0 | 0 | 4 |
| Single Board Computers and IoT Applications Development Lab | 0 | 0 | 2 | 1 |
| Data Analytics for IoT | 3 | 0 | 0 | 3 |
| Data Analytics for IoT Lab | 0 | 0 | 2 | 1 |
| TOTAL | 24 |
Eligibility
Interested students must meet the following minimum eligibility criteria to apply for the B.Tech. Computer Science & Engineering (Internet of Things) program: Minimum 50% Marks in Class X and XII. Along with 50 % in PCM (Physics/Chemistry and Mathematics) in Class XII.
Selection Criteria
Selection for admission to the B.Tech. Computer Science & Engineering (Internet of Things) program at UPES School of Computer Science relies on the individual's performance in UPESEAT / JEE Mains / Board Merit / SAT/ CUET.
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Frequently Asked Questions
During a B.Tech in Internet of Things, you can learn IoT architecture, embedded systems, sensors, microcontrollers, networking, cloud computing, data analytics, cybersecurity, and automation. You also develop programming, problem-solving, system design, and hardware-software integration skills.
Common programming languages used in BTech in IoT program at UPES Dehradun include Python, C, C++, Java, and JavaScript. C and C++ are widely used for embedded systems and microcontrollers, while Python and JavaScript are often used for data processing, cloud applications, and IoT platforms.
If you enjoy technology, programming, electronics, automation, and solving real-world problems, B.Tech CSE in IoT can be a good career choice for you. It is particularly suitable if you are interested in connecting physical devices with software, networks, and intelligent systems and want to explore diverse careers in software development, smart electronics, and designing intelligent systems.
IoT offers career opportunities across areas such as smart homes, connected vehicles, healthcare, manufacturing, agriculture, logistics, energy, and smart cities. As more physical devices become connected and data-driven, IoT graduates can explore roles in IoT development, embedded systems, automation, cloud platforms, and connected-device security.
Yes, UPES Dehradun B.Tech IoT includes integrate Artificial Intelligence (AI), Cloud Computing, and Edge Computing because connected devices generate large amounts of data that need to be processed, stored, and analysed. Furthermore, over 33% of the BTech CSE in IoT syllabus has been AI-embedded offering future ready skills to students.
During B.Tech CSE IoT, you can work on projects such as smart home automation systems, IoT-based healthcare monitoring, smart agriculture systems, connected vehicles, industrial monitoring systems, smart energy meters, and environmental monitoring devices.
B.Tech CSE IoT graduates can find opportunities in technology, automotive, manufacturing, healthcare, telecommunications, energy, logistics, consumer electronics, and smart infrastructure. Employers may include technology companies, automotive manufacturers, industrial automation firms, IoT solution providers, and cloud technology companies in India and international markets.
Some of the top B.Tech CSE in Internet of Things careers include IoT Engineer, IoT Developer, Embedded Systems Engineer, IoT Solutions Architect, IoT Security Engineer, Firmware Developer, Automation Engineer, Cloud IoT Engineer, and IoT Data Analyst.
IoT combines both hardware and software. The hardware side includes sensors, microcontrollers, embedded devices, and communication modules, while the software side covers programming, data processing, cloud platforms, AI, applications, and cybersecurity. This makes IoT an interdisciplinary field rather than a purely hardware- or software-focused discipline.
To complement the B.Tech in Internet of Things degree, you can pursue professional certifications such as CertNexus Certified Internet of Things Practitioner, Microsoft Certified Azure IoT Developer Specialty or AWS IoT foundations for cloud management. Furthermore, UPES Dehradun also offers industry ready advanced Advanced AI Applications in Internet of Things certification.
IoT is one of the key technologies driving Industry 4.0. Connected sensors and devices allow factories to collect real-time operational data, monitor equipment, automate processes, and support predictive maintenance. When combined with AI, robotics, cloud computing, big data, and automation, IoT helps create smarter and more connected manufacturing environments.
Yes, UPES encourages skill-based learning by offering several skill development opportunities to students. The institute has integrated the advanced AI Applications in Internet of Things certification to offer in-depth in hands learning of key concepts and methods.
