The B.Tech. in Electronics Engineering (VLSI & Embedded Systems) is designed for students seeking to build the next generation of semiconductor devices, intelligent electronics, and embedded computing systems. The programme combines strong foundations in electronics, semiconductor engineering, digital design, computer architecture, and embedded systems with hands-on exposure to industry-standard design and verification tools.
Students may pursue specialized pathways in VLSI Design, focusing on digital IC design, verification, timing analysis, physical design, and System-on-Chip (SoC) development, or Embedded Systems, covering firmware development, real-time operating systems, PCB design, embedded Linux, IoT systems, and intelligent edge devices. Through design-oriented learning, industry engagement, and multidisciplinary projects, students gain the expertise required to contribute to semiconductor, consumer electronics, automotive, defence, and space technology sectors.
Eligibility Criteria
- Minimum of 65% in Mathematics, Physics, and Chemistry (individually).
- At least 60% aggregate in PUC/12th or an equivalent examination from a recognized board.
- Valid score in JEE, KCET, COMEDK or any other state entrance exam.
Chanakya Edge
- Strong foundation in semiconductor devices, digital and analog electronics, VLSI design, computer architecture, embedded systems, and signal processing.
- Specialized pathways in VLSI Design and Embedded Systems aligned with the growing semiconductor and electronics ecosystem.
- Curriculum includes advanced domains such as RTL Design, SystemVerilog, Verification Methodologies (UVM), Physical Design, FPGA Prototyping, Embedded Linux, Secure Firmware Design, and IoT Edge Computing.
- Access to industry-standard semiconductor design environments including Cadence tools for chip design, verification, and implementation.
- Limited memory-based assessments, with evaluation focused on design challenges, FPGA implementation, hardware-software integration, and industry-oriented projects.
- Hands-on exposure to PCB design, embedded hardware development, microcontrollers, SoC design flows, and semiconductor verification methodologies.
- Opportunities to contribute to student-driven projects involving CubeSat payload electronics, autonomous systems, intelligent sensing, and embedded AI applications.
- Strong interdisciplinary integration with Artificial Intelligence, Robotics, Space Systems, Communication Technologies, and Advanced Computing.
Programme Highlights
Graduates of the programme will be able to:
- PEO1: Build professional careers in electronics, VLSI, embedded systems, semiconductor design, firmware, IoT and related technology sectors.
- PEO2: Apply mathematics, science and engineering principles to model, design, implement and validate electronic systems.
- PEO3: Use modern tools for circuit simulation, digital design, embedded programming, PCB design, FPGA implementation, verification and system integration.
- PEO4: Pursue higher studies, research, entrepreneurship and interdisciplinary innovation in electronics and computing-intensive engineering areas.
- PEO5: Demonstrate responsible professional practice with attention to safety, ethics, sustainability, communication and teamwork.
Programme Structure
- Year 1: Foundation in engineering sciences, mathematics, and ethics.
- Year 2: Domain-focused courses with integrated lab work.
- Year 3: Industry internships, electives in emerging tech, and innovation projects.
- Year 4: Capstone projects, entrepreneurial incubation, national & global exposure.
Sno | Category | Suggested break up of credits |
1 | Humanities and social sciences including management courses | 12 |
2 | Basic science courses + Mathematics | 18 |
3 | Engineering science courses first year | 9 |
4 | Professional core | 48 |
5 | Professional elective | 24 |
6 | Open electives | 17 |
7 | Project work | 12 |
8 | Non Credit Mandatory courses | Non-credit |
Total | 140 | |
Course Name | Credits |
Electrical Circuits and Networks | 3 |
Computer Organization and Design | 3 |
Data Structures and Algorithms | 3 |
Solid State Devices | 3 |
Microcontrollers and Embedded Systems | 3 |
Digital IC Design | 3 |
Signals and Systems | 3 |
Analog Systems | 3 |
Electromagnetic Fields | 3 |
Control Engineering | 3 |
Computer Networks | 3 |
Digital Signal Processing | 3 |
Embedded Systems Design | 3 |
VLSI Technology | 3 |
Communication Engineering | 3 |
Introduction to AI and ML | 3 |
Collaborations
Pure Storage
- Establishment of Centre of Excellence
- Development of flash memory storage devices
Simple Energy
- Battery technology development
IN-SPACe
- Professional workshops
- Deployment of Earth Observation payload
Bullwork Mobility
- Development of autonomous electric vehicle systems
Axelron Semiconductors
- Semiconductor design and industry engagement
GalaxEye
- Radar Research Lab
- RF technologies, Earth observation systems, and advanced sensing applications
These collaborations provide opportunities for internships, workshops, project mentorship, and exposure to real-world challenges in semiconductor design, embedded systems, intelligent electronics, and space technologies.