GEU
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Level
Undergraduate
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Duration
4 Years
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B.Tech Computer Science and Engineering(Internet of Things)

Admission Procedure

Merit prepared on basis of the qualifying exam

Provisional Admission

Seats to be allocated based on projected scores(12th), calculated basis the candidate’s 10th percentage – only meritorious students

About The Program

B.Tech Computer Science and Engineering (Internet of Things) is a program that combines core computer science concepts with smart device technology, networking, cloud computing, embedded systems, artificial intelligence, drone technology, and data analytics.

This programme focuses on designing and developing connected systems where devices communicate and exchange data over the internet, enabling applications such as smart homes, healthcare monitoring, industrial automation, smart agriculture and smart cities.

The curriculum covers core areas such as programming, data structures, algorithms, operating systems, database management systems, computer networks, and software engineering, along with advanced domains including artificial intelligence, machine learning, edge computing, IoT in healthcare, data science, cloud computing, and blockchain technology.

Eligibility

10+2 with Physics, Mathematics, and Chemistry/Computer Science as core subjects with regional criteria or quotas as applicable. Minimum qualifying percentage in board exams (typically 60-75%). Valid scores in national/state-level entrance exams like JEE Main (or equivalent).

Teaching Pedagogies

The department adopts innovative, student-centric teaching pedagogies designed to enhance conceptual understanding, practical proficiency, and industry readiness. Our approach integrates modern educational practices with advanced technological tools to create an engaging and outcome-driven learning environment. Key pedagogical practices include:

  • Outcome-Based Education (OBE)

    All courses are structured around clearly defined learning outcomes to ensure measurable academic and professional growth.

  • Experiential & Hands-On Learning

    Emphasis on laboratory work, real-time projects, coding sessions, and technical workshops to strengthen practical understanding.

  • Project-Based & Problem-Based Learning

    Students work on industry-relevant problems, case studies, mini-projects, and capstone projects to develop analytical and solution-oriented skills.

  • Flipped Classroom & Blended Learning

    Classroom time is optimized through pre-class digital content, interactive discussions, and collaborative problem-solving activities.

  • Industry-Academia Engagement

    Regular expert lectures, masterclasses, internships, and certifications through collaborations with leading MNCs enhance industry exposure.

  • Use of Modern ICT Tools

    Smart classrooms, LMS platforms, virtual labs, simulation tools, and coding environments support interactive and technology-driven learning.

  • Continuous Assessment & Feedback

    Frequent quizzes, assignments, reviews, presentations, and peer evaluations help monitor progress and encourage continuous improvement.

  • Skill Development & Holistic Learning

    Focus on communication skills, teamwork, professional ethics, and lifelong learning to prepare students for global professional environments.

Program Educational Objectives (PEOs)

PEO1

To produce students employable towards building a successful career based on sound understanding of theoretical and applied aspects as well as methodology to solve multidisciplinary real-life problems.

PEO2

To produce professional graduates ready to work with a sense of responsibility, ethics and enabling them to work efficiently individually and also as a team.

PEO3

To impart the competency in students so that they are able to pursue higher studies and research in areas of engineering and other professionally related fields.

PEO4

To inculcate ability to adapt to the changing technology through continuous learning.

Program Outcomes (POs)

PO1

Engineering Knowledge

Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization to develop to the solution of complex engineering problems.

PO2

Problem Analysis

Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.

PO3

Design/Development of Solutions

Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required.

PO4

Conduct Investigations of Complex Problems

Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.

PO5

Engineering Tool Usage

Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.

PO6

The Engineer and the World

Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.

PO7

Ethics

Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.

PO8

Individual and Collaborative Team Work

Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

PO9

Communication

Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.

PO10

Project Management and Finance

Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

PO11

Life-long Learning

Recognize the need for, and have the preparation and ability for

  • Independent and life-long learning
  • Adaptability to new and emerging technologies and
  • Critical thinking in the broadest context of technological change.

Program Specific Outcomes(PSOs)

PSO1

Ability to analyse, design, implement, and test IoT-enabled smart systems integrating embedded devices, sensor networks, and cloud/edge platforms based on industry requirement specifications and development methodologies.

PSO2

Apply computer science theory blended with engineering mathematics to solve problems in the areas related to networking, embedded systems, Internet of Things, and model real-world problems using appropriate programming language, data structure, and algorithms.

PSO3

Ability to explore technological advancements in domains like Industrial IoT (IIoT), Smart Systems, Edge Computing, Digital Twins, and Connected Devices; evaluate their merits and identify research gaps to provide solutions for new ideas and innovations.

Career Pathways

With the rapid growth of technology and the digital world, B.Tech CSE (IoT) graduates have a wide range of career opportunities in various sectors. As a B.Tech CSE (IoT)graduate, one can work in IoT system development, Embedded software development, data analytics, cybersecurity, artificial intelligence, and many other domains.

B.Tech CSE (IoT) graduates can work in government organizations, private companies, start-ups, research labs, and academia. B.Tech CSE (IoT) is an exciting and dynamic field with endless possibilities for those who have a passion for technology and innovation.

They have various career opportunities as:
  • IoT Developer
  • Embedded Systems Engineers
  • Software Engineers
  • System Analysts
  • Software Developers
  • System Scientists
  • Data Scientist
  • System Engineers
  • Network Engineer
  • Cybersecurity Analyst
  • Cloud Engineer / Cloud Architect
  • AI / Machine Learning Engineer
  • Blockchain Developer
  • Automation Engineer
Graphic Era (Deemed to be University)

Placements

Graphic Era Deemed to be University has a strong connection to various industries, and its track record for successfully placing students in reputable positions is outstanding, with graduates being placed in internships and permanent roles. The university has formed valuable relationships with globally recognized companies such as Amazon, Microsoft, Google, Walmart, Adobe, and many more, providing students with ample opportunities to kick-start their careers.

Graduates from Graphic Era Deemed to be University can be confident in their ability to succeed in the workforce due to the exceptional training and real-world experience they gain from their internships and placements with these top-tier companies.

Notes: Semester 1 and 2 are applicable only for regular entry students. Lateral entry students begin from Semester 3.

Course Curriculum

Semester 1

  • Engineering Physics
  • Engineering Mathematics-I
  • Basic Electrical Engineering
  • Fundamental of Computer & Introduction to Programming
  • Workshop And Manufacturing Practices
  • Professional Communication
  • Design Thinking

Semester 2

  • Engineering Chemistry
  • Engineering Mathematics-II
  • Programming for Problem Solving
  • Basic Electronics Engineering
  • Engineering Graphics and Design Lab
  • Basic Civil Engg Lab
  • Advanced Professional Communication

Semester 3

  • Data Structures with C
  • Object Oriented Programming with C++
  • Logic Design and Computer Organization
  • Fundamentals of IoT
  • Career Skills-I

Discipline Specific Elective-I

  • Introduction to Cryptography
  • Python Programming
  • Introduction to Embedded Systems for IoT
  • IoT Protocols and Communication Standards

Semester 4

  • Programming in Java
  • Finite Automata and Formal Languages
  • Microprocessors
  • Design and Analysis of Algorithms
  • Career Skills-II

Discipline Specific Elective-II

  • Virtualization and Cloud Computing
  • IoT in Healthcare and Medical Systems
  • Smart Agriculture and Precision Farming with IoT
  • Statistical Data Analysis with R
  • Microcontroller and Its Interfacing
  • Foundation of Cyber Security
  • Fundamentals of Statistics and AI

Semester 5

  • Industrial IoT and Industry 4.0
  • Operating Systems
  • Database Management Systems
  • Computer Networks
  • Career Skills-III

Discipline Specific Elective-III

  • Security and Auditing
  • Cloud Based Application Development and Management
  • Bigdata Visualization
  • Computer System Security
  • Machine Learning
  • Communication Models and Protocols
  • IoT Data Analytics and Visualization
  • Digital Twins in Industrial IoT
  • Smart City Infrastructure and IoT

Semester 6

  • Compiler Design
  • Software Engineering
  • IoT Sensor Networks and Edge Computing
  • Full Stack Web Development
  • Career Skills-IV

Discipline Specific Elective-IV

  • Autonomous Systems and Robotics with IoT
  • IoT for Smart Manufacturing
  • Image Processing and Computer Vision
  • DevOps on Cloud
  • Big Data Storage and Processing
  • Virtual Reality

Semester 7

  • Smart Grid and Energy IoT Systems
  • Advanced Computer Architecture
  • Research Methodology and IPR
  • Seminar on Industrial Interaction
  • Major Project Phase I

Discipline Specific Elective-V

  • Information Security Audit and Monitoring
  • Deep Learning
  • Cloud Security
  • Cloud Orchestration and Load Balancing
  • Software Verification, Validation and Testing
  • Robotic Process Automation Design and Development
  • Computer Forensics
  • Human Computer Interaction
  • Distributed Systems
  • Edge AI and Embedded Intelligence
  • Wearable Technology and Body Area Networks

Semester 8

  • Disaster Management
  • Major Project Phase II

Discipline Specific Elective-VI

  • Advance Computer Vision
  • Service Oriented Cloud Architecture
  • Privacy and Security in Online Social Media
  • Connected Vehicles and Intelligent Transportation Systems
  • IoT in Environmental Monitoring and Agriculture
  • IoT Platform Development and Deployment
  • Mobile Computing
  • Soft Computing
  • Mobile Applications Development
  • Storage Networks
  • Agile Software Engineering
  • Quantum Computing
  • Game Theory

Contact Us

GEU
GEU

566/6, Bell Road, Society Area,
Clement Town, Dehradun,
Uttarakhand