Sorry, you need to enable JavaScript to visit this website.

School of Electronics Engineering (SENSE)

The School offers Master's Programmes in Automotive Electronics, Biomedical Engineering, Communication Engineering, Embedded Systems, IoT and Sensor Systems, Nanotechnology and  VLSI Design.

It also offers a double degree Programme in M.Tech (IoT and Sensor Systems) with the University of Applied Sciences, Karlsruhe, Germany. Research Programmes leading to M.S. and Ph.D. are also offered.

M.Tech. Automotive Electronics in collaboration with TIFAC-CORE industry partners

To introduce students to the electronics systems on board an automobile through multi-disciplinary training, to develop and understanding of the challenges that the automotive environment presents to a systems designer to present an overview of future technologies in the field, and to create awareness in the automotive design about the impact that electronics systems on mechanical design, so as to inculcate the principles of mechatronics system design.

Our graduates can be placed in leading core companies like Texas Instruments, NXP, Wipro, GE, Motorola, Honeywell, HCL Technologies, Tata Elxsi, RBEI, TATA DELPHI, Volvo, Intel Microchip, Synopsys and also in R & D Organizations involving Embedded System Design and Development of Embedded Software.

Sensor and Engine Management Systems / Microcontrollers for Vehicular systems / Vehicle Control Systems / Automotive networking and protocols / Electric and Electronic Power Systems for Vehicles

Data Acquisition and Signal Conditioning / Automotive Power Electronics and motor drives / AUTOSAR and ISO Standards for Automotive Systems / Alternative Drives, Traction and controls / Soft Computing Techniques for Automotive Applications / Automotive EMI and EMC standards / Vehicular information and communication systems / Parallel Programming using Multicores and Graphical Programming Units / Digital Signal Processing and its Applications / Open source hardware and software system design / Machine Vision System for Automotive / Automotive Fault diagnostics / Emission control and diagnosis / Vehicle safety systems / Vehicle bodies / Engine peripherals/ Vehicle security and comfort systems.

Ingersoll Rand Inc., Aptiv, Valeo, Delphi, Infineon, Renault Nissan Business Center

Last updated on 25 June 2020

M.Tech. Biomedical Engineering

Biomedical engineering (BME) is the application of engineering principles and design concepts to medicine and biology for healthcare purposes (e.g. diagnostic or therapeutic). This field seeks to close the gap between engineering and medicine: It combines the design and problem solving skills of engineering with medical and biological sciences to advance healthcare treatment, including diagnosis, monitoring, and therapy. Due to this diversity, it is typical for a biomedical engineer to focus on a particular subfield or group of related subfields with a major specialization among Biomedical Instrumentation, Biomaterials, Clinical Engineering, Biomechanics, Artificial organs, Medical Imaging and Rehabilitation Engineering.

  • To impart knowledge of physical, chemical, mathematical, computational science and engineering principles.
  • To apply advanced technology to the complex problems of healthcare.
  • To design instruments, devices and software for new procedures and new devices in biomedical engineering.
  • To adopt novel approaches in biomedical research & development.
  • To recognize and respond to biomedical moral values and ethical issues and instill communication skills and creativity, and ensure continuous personal growth.
  • Biomedical Engineering in hospitals, Scientists in R&D institutes.
  • Design Engineering in Medical Devices industry.
  • Healthcare Research analysts / consultants.
  • Entrepreneurs in the ever-developing medical services industry.
  • Healthcare Managers / Health Technology Service Providers.
Core Courses

Anatomy & Physiology (Bridge Course) / Biomedical Sensors and Data Acquisition Techniques / Biosignal Processing and Analysis / Biomedical Equipment / Embedded Systems and IoT for Biomedical Applications / Medical Image Processing / Project Work.

Physiological Control Systems / Medical Robotics / MEMS & NEMS for Biomedical Applications / Micro and Nano Fluidics / Data Mining in Healthcare / Big Data Analytics in Medical Applications / Medical Imaging Techniques / Artificial Neural Network / Networking and Information System in Medicine / Biomaterials / Rehabilitation Engineering / Digital Healthcare and Medical Standards / Health Care Management

GE Healthcare, Robert & Bosch, Ostrich Mobility, Narayana Nethralaya, Philips Healthcare, Skanray Technologies, BPL Healthcare, Trivitron Healthcare, Agiliad Technologies.

  • Anatomy & Physiology Laboratory is equipped with human skeleton, individual bones, sphygmomanometer, stethoscope, clinical ECG monitor, ABO blood group starter kit, ESR and Hemoglobin meters, Harris mat, fibre optic organ models of brain, ear, eye, heart and lung
  • Biomedical Instrumentation Laboratory is equipped with Electrocardiography system, Electromyography system, ECG Telemetry system, Electroencephalography system, Phono-cardiography, Cobe centry-Hemodialysis equipment, Electrocare-Ventilator, Maquet-Heart Lung machine, X-ray machine, Shortwave Diathermy, Surgical Diathermy and Audiometer.
  • Biosignal Processing Laboratory is equipped with MATLAB software.
  • Biomedical Image Processing Laboratory is equipped with Philips Ultrasound machine and MATLAB software.
  • Biochemistry laboratory is equipped with Auto analyser, Colorimeter, Flame photometer, Centrifuge Water bath.

Last updated on 25 June 2020

M.Tech. Communication Engineering

The programme impart in-depth knowledge of communication engineering theory and practice sessions by exposing them to various fields like Digital & Wireless communications, Wireless networks, Optical communications, Microwave circuits and signal processing.

The objective of the programme is to develop communication engineers to meet the increasing demand for manpower in the field of communication technology and also to pursue further studies.

Advanced Digital Communication / Advanced Digital Signal Processing / Advanced Antenna Engineering / Advances in Wireless Networks / Fiber Optic Communication and Networks

Modern Wireless Communication Systems / Modeling of Wireless Communication Systems / Modern Satellite Communication / Coding for MIMO Communication / High Performance Communication Networks / Mobile Adhoc Networks / Advanced Wireless Sensor Networks / RF and Microwave Circuit Design / Microwave Integrated Circuits / Image processing and Feature Extraction / Multirate Systems / Adaptive Signal Processing / Optical Broadband Access Networks / RF MEMS / Information and Network Security

The programme prepares professionals with advanced knowledge of their respective fields through various projects & research work, so that they can serve Industry, R&D Organisations and academic Institutions.

Communication & Networking Lab : The communication Engineering laboratory is equipped with various hardware equipments to carry out various experiments. The hardware equipments include Digital storage oscilloscope (60 MHz and 200 MHz), EXA Signal Analyzer, RF Signal Generator, Mixed Signal Oscilloscope, Arbitrary Waveform Generator, Multipurpose lab station, Digital IQ Modulation Set, Multiple output power supply, Wireless Software Defined Radio (900 MHz and 2.4 GHz), Sensor Module from Sensenut, Radio Module with Integrated Antenna, Gateway Module with USB cable, Gateway Module Wireless, TL Sensor Module (Temp. & Light), HTP Sensor Module (Humidity, Temp & Pressure) and GAP Sensor Module (GPS, PIR & Accelerometer). In addition to hardware equipments, the communication engineering and networking laboratory has simulation tools which include NetSim Version 9, Qualnet 7.1, Multisim ver. 10, Matlab 2015, Broadband wireless simulator.

Optical Communication Lab : Optical Communication lab is equipped with Arbitrary Function Generators, Semiconductor Lasers, Silicon Photo detectors, Optical fiber Laboratory System-A, Helium Neon Lasers, Fiber Optic Bench top Laboratory with WDM Technology-Light runner, Optical Experimental setups. LIGHT RUNNER from Fiber Optika Technologies is a utilized in the optical communication lab for projects in Photonics and Optical Communications Technologies. Simulation tools include OptSim 5.2, OptSim 2015.12 and OptiSystem 13.0.3.

Microwave Lab : Microwave lab facilitates the students and researchers to design RF & Microwave passive circuits, Antennas and active circuits like amplifiers, oscillators and. The lab is equipped with RF signal generators, Power meters, Microwave test bench setup(X-band), MIC trainer kit, VSWR meters, Waveguide accessories and antennas. Simulation softwares include CST MW Studio, Ansoft HFSS, Agilent ADS and AWR Microwave Office will help in the design analysis of lumped and planar circuits.

Digital Signal Processing(DSP) / Image Procesing (IP) Lab : The DSP/IP lab focuses on fundamentals of signal processing, advanced DSP, estimation and detection, multirate signal processing, image compression and also provide solutions to work with real time signal processors. The lab is equipped with Texas TMS320C6713 DSP Starter Kit, Image Daughter Card, Digital Media Developer Kit, CC Studio IDE, MATLAB, Video Capture Frame Grabber, Real Time image Processing Software WiT S/W.


Reliance Communications, Honeywell Technologies, Tata Technologies, Texas Instruments, National Instrumnets, CISCO, IBM, Intel, Agilent, Alcatel Lucent, Ericsson, Danfoss, CEwit, Bosch India, Broadcom Corporation, Sankalp, Altera, Cadence, Tektronics, Genesys, GE Healthcare, Schneider Electric, ST Microelectronics, Philips, Wipro.

Last updated on 25 June 2020

M.Tech. Embedded Systems

The interdisciplinary nature of the programme helps the students to engage in design and development of instruments and other industrial products. The students take up courses and projects both from software and hardware. This helps the students to become proficient in both software and hardware industries. This programme has strong industry linkages and involve in number of sponsored industrial projects. M.Tech Embedded Systems is offered for two years. Students under go course work for three semesters (Fall, winter and Summer) and master thesis for 8 months (August to April). Maximum number of courses is offered in Curriculum Applied Learning (CAL) mode to enhance the hands on technical skills. Also students are encouraged to publish one research paper per semester. Students are qualified to lead the career in Automotive Electronics, Industrial Automation, Power Engineering, Semiconductor Industry, Telecommunications, Computer Vision, Imaging or Medical Technology.

To give equal emphasis to hardware and software, enabling engineers to face challenges in the design and development of state of the art embedded systems.

Core Courses - Embedded System Design / Microcontrollers - Architecture and Organization / Design and Analysis of Algorithms / Electronic Hardware System Design / Embedded Programming / Virtual Instrumentation Systems / Hardware-Software Co-Design / Real-Time Operating Systems.

Advanced Micro Controller and RTOS Lab is equipped with KEIL Simulator Tool, Linux, VxWorks RTOS, AppCOE Simulator, Xilinx Vivado and NI Labview. Associated hardware are MBED NXP LPC1768, ARM 9 and ARM Cortex boards, Xilinx FPGA, Black fin processor, CAN controllers, TELOSB, ULK kit, NVIDIA GPU TESLA K40 and GTX 780. The Lab is housed with 65 State of art computing machines with Windows 2000 server.

Microprocessor and Microcontroller Lab is equipped with 8085, 8086 Microprocessors and various interfacing cards, 8051 Flash Microcontroller and various interfacing devices, Embedded developments boards, Keil software.

Networking Lab is equipped with Qualnet Simulator with 30 user licenses and research license, Riverbed Modular Academic Version, Dell PowerEdge 7 Series server and 60 State of art computing machines, Asus and Netgear Layer2 & Layer3 Switches, Wireless Router and Ethernet cards.

Elective Courses - Automotive Technology / Automotive Electrical Systems / In-Vehicle networking / Instrumentation and Automotive Electronics / Advanced Processors and its Applications / Advanced Digital Signal Processing / EMI Compatibility in ESD / Advanced Digital Image Processing / Neural Networks and Fuzzy Systems / Pattern Recognition and Classification / Fault -Tolerant and Dependable Systems / Automotive Standards / Advanced Embedded Programming.

Automotive Electronics, Computer Vision and Machine Learning, Heterogeneous computing, Device Driver and RTOS are identified as intensive research domains and involved in the industrial and research projects of Department of Science and Technology, DRDO, ISRO, Robert Bosch, CSIRO, etc.

Our students are recruited for internships at Texas Instruments, NXP, Wipro, GE, Motorola, Honeywell, HCL Technologies, Tata Elxsi, RBEI, TATA, DELPHI and more.

Last updated on 24 June 2020

M.Tech. IoT & Sensor Systems *

The programme provides a greater orientation towards principles of sensors, data acquisition, signal analysis, embedded systems, sensor networking, and control and automation. The programme also motivates the students to explore sensors used in various domains such as automotive, medical, aerospace, agriculture and communication etc. The programme also offers course in the allied fields of neural networks, signal processing and control systems to help the students master the signal processing and optimal control of the sensor centric systems. The students are exposed to recent developments in these areas by means of industrial visits to research organizations, industries, guest lectures, hands on training based workshops etc. *The students are offered a chance to undergo twinning programme at University of Applied Sciences, Karlsruhe, Germany. These students are awarded degrees by both the Universities.

  • Impart intensive training to understand the complexity and diversity of areas in which sensors are used.
  • Enable students to develop modern instrumentation using reliable sensor systems.
  • Focus on sensors for specific application in the medical, space, nuclear, automotive and chemical industries.
  • All major Industries and R&D Organisations involved in the development of Smart Sensors, Controls, Sensor Fabrication, Embedded Solutions and Micro Systems.
  • Hardware and Software Companies.

Principles of Sensors / Data Acquisition and Hardware Interfaces / Microcontrollers and Embedded Systems / Control Systems / Micro Systems & Hybrid Technology / Wireless Sensor Networks / Integrated Wave Optics / Chemical Sensors / Project Work.

RF and Microwave Sensors / Automotive Sensors / Biomedical Sensors / Bio Sensors / Product Design, Management Techniques and Entrepreneurship / Softcomputing / Signal Processing and Data Analytics / Flexible and Wearable Sensors/ Micro and Nano Fluidics/ Softwares for Embedded Systems/ Environmental Sensors/ Nanomaterials and Sensors/ Sensors for Harsh Environment.

CEERI, Tata Motors, ISRO, Volkswagen, LEOS, VSSC, Orion Industries, DRDO, GE Health Care, DMRL, Robert Bosch, NIOT, Honeywell Technologies, CSIO, WIPRO, CGCRI, IGCAR-DAE.

  • Sensors Systems Laboratory is equipped with Sensors of various types, Sensors signal conditioning modules, Agilent lab station, Digital storage oscilloscope, Keithyley Pico-ammeter, Thermal imaging aamera, Hot wire anemometer, Vibration sensor kit, Digital LCR meter, Temperature bath, Infrared thermometer, Laser optical displacement sensor, Agilent network analyser, Agilent spectrum analyser, Agilent logic analyser.
  • Chemical Sensor Laboratory is equipped with Sputtering unit, Hydraulized motor press, Laser Engraver, Chemical wet etch bench, Flat screen printer with vacuum worktable, LCR meter, Source IV meter, Furnace, Ultrasonic cleaner, Optical microscope, Digital balance, Gas sensing setup.
  • MEMS Design Laboratory is equipped with Coventorware software, COMSOL Multiphysics and Intellisuite software.
  • Data Acquisition Laboratory is equipped with Lab VIEW, NI ELVIS Trainer Kit, cDAQ, cRIO computer controlling Board, NI ELVIS, Multisim, NI ELVIS Quanser DC Motor Control, NI ELVIS Quanser HVAC Trainer, LabVIEW DSP Module for NI SPEEDY-33, NI WSN Starter Kit.

Last updated on 25 June 2020

M.Tech. Nanotechnology

M.Tech. Nanotechnology is a programme with special emphasis on Nanoelectronics and Nanophotonics. The M. Tech. Nano technology programme was initiated in 2006 by VIT, Vellore and the institute provided a generous support of about INR 13 million for setting up state-of-the-art nanomaterial characterization and synthesis facilities for the nanotechnology lab.

This programme aims to equip graduates with the broad range of skills required in the field of nanotechnology for research and industrial applications. This also creates a strong research focus, with motivated students, working with the state-of the-art research oriented laboratory, equipped with world–class characterization and synthesis facilities.

Quantum Physics for Nanostructures/ Physics and Chemistry of Solids/Synthesis of Nanomaterials and Thin Film Deposition/Nanomaterial Characterization and Lithography Techniques/Properties of Nanomaterials/ Nanoelectronics/ Nanophotonics

State-of-the-art nanomaterial characterization and synthesis facilities for the nanotechnology lab.

With a professional Masters Degree in Nanotechnology, students are in demand to work as a Research Fellows, Scientists, Faculty, System Designers, Research officers for product design in major sectors like Electronics, Materials research, Solar energy, Automobile, Aerospace and Environment engineering.

MEMS to NEMS/ Nanosensors/ Nanomagnetism- Fundamentals and Applications/ Energy Technologies Carbon Nanomaterials/ Lithographic Techniques for Device Fabrication/ Plasmonics / Semiconductor Device Physics and Technology/ Nanoelectronic Circuit Design/ Spintronics

Dolcera, Tescan, Yash Nanotech, KLA Tencor, India Pistons, Advanced Photonics, NAL, Bangalore, Fore Vision, Hyderabad, SSN Research Center, Central Manufacturing Technology Institute

Last updated on 25 June 2020

M.Tech. VLSI Design

The Programme focuses on applied learning by performing hands on projects on chip design at various abstraction levels.

The Programme aims in providing fundamentals of VLSI Devices and Circuits. It also focuses on designing digital, analog and RF VLSI Circuits, understanding the complete design flow and expertise to design Integrated chips for industrial requirements.

Digital IC Design / Analog IC Design/ ASIC Design/ Digital Design with FPGA/ Physics of VLSI Devices.

Students are exposed to various industry standard EDA Tools like Cadence, Synopsys, ALTERA and Xilinx Also, they learn to design and implement the digital systems using FPGAs (Field Programmable Gate Arrays).

Low Power IC Design / VLSI Testing and Testability/ Scripting Languages and Verification/ VLSI Digital Signal Processing / Computer Aided Design for VLSI/ Memory Design and Testing / Mixed Signal IC Design / RFIC Design / IC Technology / System-on-Chip Design / System Design with FPGA/ Advanced Computer Architecture / Micro Sensors and Interface Electronics/ Nanoscale Devices and Circuit Design / DSP Architectures

IC Design Lab and ASIC Design Lab is fully equipped with industry standard EDA Tools with 60 user licenses for Synopsys IC Bundle and EDA Tools from Cadence. Also the lab facilitates 5 user licences for Synopsys Sentarus TCAD. Students and Researchers can have hands on experience in both analog and digital IC design starting from front end to GDSII.

FPGA/SOPC Lab is equipped with the ALTERA Design Suite, Xilinx Programmable Logic Design Tools, Cypress Semiconductor Microsystems software with 60 user licenses. It is also equipped with the following hardware boards: Cyclone DE1 and DE2 Boards from Altera, Stratix DE3 Board from Altera, Virtex and Spartan Boards from Xilinx and Semiconductor programmable SoC Kits from Cypress for prototyping.

Intel, IBM, ST Microelectronics, NXP Semiconductors, Cadence, Synopsys, Xilinx, Honeywell, Microchip, Global Foundries, ARM, Texas Instruments, Sankalp Semiconductors, Altran, Soctronics, ACEIC, AMD.

Synopsys, Cadence, Xilinx, ALTERA, Euro practice.

Last updated on 17 June 2020