M.Tech in embedded system & VLSI

About Course

The Master of Technology (M.Tech) in Embedded System & VLSI at G H Raisoni University (GHRU), Amravati, is an elite, highly specialized program designed for engineers passionate about the micro-world of computing. Moving far beyond basic circuitry, this program challenges students to master the intricate fusion of hardware design and software intelligence. From engineering the ultra-low-power microchips that drive modern smartphones to developing mission-critical embedded controllers for autonomous vehicles, the curriculum bridges semiconductor physics with advanced computational logic. Students engage in deep-spectrum analysis of System-on-Chip (SoC) architecture, Very Large-Scale Integration (VLSI), and Real-Time Operating Systems (RTOS), preparing them to lead the global semiconductor boom and the Internet of Things (IoT) revolution.

Objectives of the Program

Advanced VLSI architecture: establish a profound understanding of CMOS logic, FinFET technology, and ASIC/FPGA design flow to create highly optimized, miniature integrated circuits.
Embedded hardware & RTOS: master the integration of ARM Cortex processors, microcontrollers, and real-time scheduling algorithms to ensure lag-free, deterministic system performance.
System verification & validation: explore advanced verification methodologies like UVM (Universal Verification Methodology) and SystemVerilog to eliminate silicon bugs before physical manufacturing (tape-out).

Low-power & mixed-signal design: develop critical expertise in designing circuits that operate on minimal battery power while seamlessly converting analog real-world signals into digital data.
IoT & edge computing integration: bridge the gap between localized hardware and the cloud by deploying AI accelerators and machine learning algorithms directly onto embedded edge devices.

Study at Raisoni for a successful future & drive your career in the right direction with our M.Tech in embedded system & VLSI

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Future of embedded system & VLSI

₹12,00,000/Year*

Elite VLSI verification engineers, physical design experts, and embedded architects command some of the highest salaries in the tech industry. In India, starting packages for M.Tech Embedded/VLSI graduates in top product-based multinational firms (like Intel, Qualcomm, NXP, and AMD) often average ₹12 Lakhs to ₹15 Lakhs. Senior ASIC Architects, Silicon Validation Leads, and Embedded Directors frequently reach compensation scales of ₹35 Lakhs to ₹60+ Lakhs.

14.5% Market Growth

With the massive push for 5G telecommunications, Electric Vehicles (EVs), Advanced Driver Assistance Systems (ADAS), and consumer IoT, the global semiconductor market is experiencing a massive CAGR of over 14.5%. The Indian government's "Semicon India" initiative is creating an unprecedented vacuum for highly specialized chip designers and hardware engineers.

The silicon renaissance

As AI shifts from the cloud to the device (Edge AI), standard processors are no longer sufficient. The future demands a new breed of engineers who can custom-design Neural Processing Units (NPUs) and highly optimized microchips that process massive amounts of data at lightning speed, with near-zero latency and minimal thermal output.

Eligibility

Academic Requirement: Bachelor’s Degree (B.E. / B.Tech) in Electronics & Communication (ECE), Electrical Engineering, Instrumentation, Computer Science, or allied disciplines from a recognized university.
Minimum Marks: At least 50% aggregate (45% for reserved categories).
Selection: Based on a valid GATE score or performance in the GHRU Entrance Test, followed by a technical interview focusing on digital electronics, network theory, and basic microprocessor architecture.
Skillset: A strong grasp of Boolean algebra, digital logic design, and fundamental programming concepts (C/C++) are essential for success in this program.

Key Details

Advanced VLSI & Microelectronics Lab: A dedicated, state-of-the-art facility at the Amravati campus equipped with industry-standard Electronic Design Automation (EDA) suites from Cadence, Synopsys, and Mentor Graphics.
Embedded & IoT Prototyping Suite: High-performance hardware labs featuring advanced Xilinx/Intel FPGA development boards, ARM embedded kits, logic analyzers, and digital storage oscilloscopes.
Centre for Semiconductor Excellence: A research hub focused on nanoelectronics and low-power architectures, aimed at making India self-reliant in fabless semiconductor design.
Industry Technical Residencies: Collaborative opportunities with major semiconductor and electronics manufacturing companies, providing direct exposure to live chip-design cycles and embedded software deployment.

Admission Procedure

Notification: The university issues the admission call via the official GHRU website.
Application Submission: Candidates submit their academic portfolio, including transcripts and any prior project work or site experience.
Technical Screening & Interview Shortlisted candidates undergo an interview to assess their analytical depth and conceptual clarity in structural logic.
Provisional Admission (If Awaiting Final Semester Results) Final-year undergraduate students may apply; admission is confirmed upon meeting the final degree requirements and aggregate criteria.

Application Rejection Scenarios

Applications may be respectfully declined if academic prerequisites are unmet, technical interviews fall below the threshold, or documentation is incomplete.

Enrolment: Upon rigorous verification of all credentials and fee remittance, scholars are inducted and assigned a University registration cipher.

Scholars are required to present original documents alongside FOUR sets of attested photocopies upon admission.

Required Documents:

B.E. / B.Tech Degree Certificate & All Marksheets
Valid GATE Scorecard (if applicable)
10th and 12th (SSC & HSC) Marksheets
Nationality & Domicile Certificate
College Leaving / Transfer Certificate
Valid Government Identification

If Applicable:

Caste / Category / Non-Creamy Layer Certificates
Migration Certificate
Industry Internship Certificates or Published Research

Core Skills

Hardware Description Languages (Verilog, VHDL, SystemVerilog)
Embedded C / C++ & Python for Hardware Automation
Physical Design & CMOS Layout Execution
FPGA Prototyping & ASIC Design Flow
RTOS (Real-Time Operating Systems) Implementation
Universal Verification Methodology (UVM)
PCB Design, Signal Integrity & EMI/EMC Troubleshooting

Career Opportunities

Depending on prior industry experience and domain expertise, graduates typically align with the following trajectories:

Entry Level

RTL Design Engineer
Embedded Software Engineer
Verification / Test Engineer
FPGA Developer
Junior Research Fellow (JRF)

Mid Level

Senior Silicon Validation Engineer
IoT Solutions Architect
Physical Design Lead
Embedded Systems Manager

Senior Level

Principal ASIC Architect
Director of VLSI Engineering
Chief Hardware Officer
Fabless Tech-Entrepreneur

Future Studies Options

There are several postgraduate programs and degrees you can pursue after completing Mtech VLSI Embedded System engginering , which are as follows:

Ph.D. in Nanoelectronics & VLSI

For scholars aiming to pioneer research in Graphene-based transistors, Quantum Dot cellular automata, or Neuromorphic computing architectures.

Post-Doctoral Fellowships

Specializing in niche global sectors such as 6G Communication hardware, Cryptographic SoC design, or Radiation-hardened electronics for space exploration.

Advanced Industry Certifications & Global Recognition

Continuous progression through elite credentials, such as Cadence Certified Professional, ARM Accredited Engineer, or pursuing Chartered Engineer (CEng) status via globally recognized professional bodies.

Top Recruiters

FAQ

Is this program more focused on hardware or software?

It is heavily focused on the intersection of both. In VLSI, you use software (code like Verilog) to actually synthesize physical hardware logic. In Embedded Systems, you write low-level software (C/C++) to make physical hardware perform specific tasks. You must be comfortable with both domains.

We emphasize industry-standard platforms. You will gain hands-on expertise in EDA tools from Cadence and Synopsys for chip design, Xilinx Vivado for FPGA programming, and embedded suites like Keil, MATLAB/Simulink, and ARM development environments.

The demand in India has never been higher. With the government's aggressive "Semicon India" push and massive investments by global tech giants to set up R&D and design centers in cities like Bangalore, Pune, and Hyderabad, India is rapidly becoming a global hub for VLSI design and embedded engineering.

Yes, but from a hardware perspective. Instead of just writing AI software, you will learn how to design the actual physical AI accelerators and custom edge-computing hardware required to run Machine Learning algorithms efficiently on small devices.

The second year includes a major research thesis. Students can choose to investigate cutting-edge industry problems, such as designing ultra-low-power biomedical implants, creating fault-tolerant chips for aerospace applications, or optimizing hardware architectures for quantum computing and high-speed 5G/6G transceivers.

Applications of admission are now
open for academic year 2026-2027