M.Tech - VLSI & Embedded Systems

The Master of Technology (M.Tech) in VLSI & Embedded Systems is an advanced postgraduate program that integrates Very Large Scale Integration (VLSI) design with Embedded Systems development. This course covers semiconductor design, hardware-software co-design, embedded programming, and system-on-chip (SoC) development. It equips students with the expertise required for designing high-performance microcontrollers, processors, and embedded solutions used in industries such as automotive, IoT, robotics, telecommunications, and AI-driven systems.

Main Targets:

• VLSI Design: Digital & analog circuit design using CMOS, FinFET, and GaN technologies
• Embedded Systems Development: Real-time operating systems (RTOS), microcontroller programming, and firmware development
• ASIC & FPGA Design: Designing custom chips using Verilog, VHDL, SystemVerilog
• System-on-Chip (SoC) Design: Integrating multiple processors, accelerators, and memory units
• Low Power VLSI & Embedded Architectures: Power optimization techniques for portable and IoT devices
• Embedded AI & Machine Learning: Implementing AI-based embedded solutions for automation and smart devices
• Hardware Security & Cryptography: Securing hardware from cyber threats and designing trusted computing systems

Future Applications:

• Semiconductor Industry: Custom processor, GPU, and SoC design for consumer electronics
• Automotive Electronics: VLSI-based embedded solutions for ADAS, self-driving cars, and ECU development
• IoT & Smart Devices: Low-power embedded processors for wearable tech and smart home automation
• Aerospace & Defense Systems: Mission-critical embedded applications for avionics, missile guidance, and defense electronics
• 5G & Telecommunication Networks: High-speed signal processing hardware for next-gen communication systems
• AI & Robotics: Developing AI-accelerated edge devices and autonomous robotic controllers

Career Opportunities:

• VLSI Design Engineer – IC, FPGA, and SoC development
• Embedded Systems Engineer – Microcontroller-based system design and firmware development
• ASIC/FPGA Engineer – Developing high-speed, energy-efficient custom chips
• Hardware Security Engineer – Protecting devices from cyber threats using secure embedded architectures
• IoT Architect – Designing connected embedded systems for smart cities, healthcare, and automation
• Automotive Electronics Engineer – Working on electronic control units (ECUs), autonomous driving tech, and ADAS
• R&D Engineer – Innovating in semiconductor design, AI hardware, and next-gen processors

Outcomes:

• Mastery of VLSI and Embedded Systems concepts for cutting-edge industry applications
• Hands-on expertise in FPGA & microcontroller programming, real-time OS, and embedded AI
• Proficiency in industry-standard tools like Cadence, Synopsys, Xilinx, and MATLAB
• Strong foundation in hardware security, low-power design, and system optimization
• High employability in semiconductor giants such as Intel, NVIDIA, Qualcomm, AMD, Texas Instruments, and TSMC
• Opportunities for research & Ph.D. in nanoelectronics, AI hardware accelerators, and neuromorphic computing

The course is available in our Brilliant Group of Technical Institutions at Brilliant Grammar School Educational Society's Group of Institutions - Integrated Campus (Faculty of Engineering and Faculty of Pharmacy) – Code: BRIG