MTech-VLSI Design Postgraduate Programme By JAYPEE INSTITUTE OF INFORMATION TECHNOLOGY NOIDA |TopUniversities
Tuitionfee

433,809 INRTuition Fee/year

Application Deadline

31 May, 2024Application Deadline

Starting Month

JulStarting Month

Programme overview

Main Subject

Engineering - Electrical and Electronic

Degree

MTech

Study Level

Masters

Study Mode

On Campus

Introduction

The M.Tech in VLSI Design at Jaypee Institute of Information Technology (JIIT) is a two-year specialized postgraduate program that provides students with a deep understanding of Very Large Scale Integration (VLSI) technology, semiconductor device physics, chip design methodologies, and advanced fabrication techniques. With the rapid advancements in AI-driven electronic design automation (EDA), low-power VLSI circuits, and 5G/6G hardware development, the demand for skilled VLSI engineers has grown exponentially. The global semiconductor industry is projected to exceed $1 trillion by 2030, with increasing applications in automotive electronics, IoT, artificial intelligence, and quantum computing. This program is designed to equip students with strong theoretical knowledge and hands-on experience in IC design, FPGA programming, ASIC development, and embedded hardware systems, making them industry-ready for careers in semiconductor manufacturing, processor design, and research-oriented roles.

Program Structure and Curriculum

The M.Tech in VLSI Design at JIIT follows a well-structured curriculum that incorporates core courses, electives, hands-on projects, and industry internships to bridge the gap between academics and real-world semiconductor industry demands. The program is spread over four semesters, covering subjects such as:

  1. Core Subjects:
  1. CMOS VLSI Design
  2. Digital VLSI Design
  3. Analog and Mixed-Signal IC Design
  4. Low-Power VLSI Design
  5. System-on-Chip (SoC) Design
  6. Hardware Description Languages (HDL) – Verilog and VHDL
  7. Semiconductor Physics and Device Modeling
  8. ASIC Design and FPGA-Based System Design
  9. Advanced Microelectronics and Nanotechnology
  1. Elective Courses:
  1. Neuromorphic Computing and AI Hardware
  2. Quantum Computing and VLSI
  3. High-Speed Digital Systems
  4. Embedded System Design
  5. MEMS and NEMS Technologies
  6. Cryptographic Hardware Security
  7. 5G and 6G Communication Hardware
  8. Machine Learning for VLSI Optimization
  1. Practical and Laboratory Work:
  1. Hands-on training with EDA tools such as Cadence, Synopsys, Mentor Graphics, Xilinx Vivado, and ANSYS HFSS.
  2. FPGA prototyping using Xilinx Zynq, Intel Altera, and Open-Source RISC-V architectures.
  3. Fabrication projects involving lithography, semiconductor processing, and MEMS-based applications.
  4. RTL design and simulation for high-speed computing and AI-optimized circuits.
  1. Research and Industry Exposure:
  1. Internship opportunities with Intel, Texas Instruments, Qualcomm, NVIDIA, TSMC, and STMicroelectronics.
  2. Research collaborations with ISRO, DRDO, IITs, and top semiconductor startups.
  3. Capstone projects on AI-powered VLSI verification, neuromorphic chip design, and low-power IoT hardware.

Advanced Topics and Specializations

The field of VLSI Design is evolving rapidly with the integration of AI, machine learning, and emerging quantum computing architectures. M.Tech students at JIIT get exposure to:

  1. AI-Driven Chip Design – Implementation of machine learning algorithms in EDA tools for automated design verification, power optimization, and timing analysis.
  2. Neuromorphic and Quantum Computing – Exploration of brain-inspired chip architectures and quantum VLSI, which are revolutionizing next-generation processors.
  3. 5G/6G Hardware and RFIC Design – Development of high-frequency integrated circuits (RFICs), power-efficient communication transceivers, and mmWave antennas for advanced communication technologies.
  4. IoT and Edge AI Processing – Low-power sensor chips, embedded FPGA-based accelerators, and real-time AI inference circuits for smart applications.
  5. Secure Hardware and Cryptographic Processors – Research in anti-tamper hardware designs, cryptographic accelerators, and blockchain-driven secure chips.

Laboratory and Industry Tools

The M.Tech in VLSI Design at JIIT is complemented by state-of-the-art VLSI and semiconductor labs, where students work with:

  • Cadence Virtuoso, Synopsys Design Compiler, Mentor Graphics ModelSim for ASIC and FPGA design.
  • State of art Fabrication and Characterization Lab
  • Xilinx ISE, Vivado, and Intel Quartus for FPGA prototyping and hardware validation.
  • ANSYS HFSS, CST Studio, and Keysight ADS for RF and high-speed digital design.
  • Silvaco TCAD and COMSOL Multiphysics for semiconductor device modeling and process simulation.

Career Opportunities and Placement

Graduates of M.Tech in VLSI Design at JIIT have excellent career prospects, with opportunities in semiconductor fabrication, embedded systems, AI-powered hardware, and research-based roles. Companies hiring VLSI professionals include:

  1. Semiconductor Giants: Intel, Qualcomm, AMD, NVIDIA, Broadcom, Texas Instruments, STMicroelectronics, MediaTek, TSMC, Samsung Foundry.
  2. EDA and VLSI Design Firms: Cadence, Synopsys, Mentor Graphics, Ansys, Xilinx, Altium.
  3. Embedded System and IoT Companies: Bosch, NXP, Renesas, ARM, Infineon, Micron, Western Digital.
  4. Research and Development (R&D) Organizations: ISRO, DRDO, BARC, IITs, NITs, and Semiconductor Research Corporations (SRCs).
  5. High-Tech Startups and AI Hardware Firms: Graphcore, Cerebras Systems, OpenAI Hardware Lab, Tenstorrent, Mythic AI.

Research and Innovation in VLSI at JIIT

The M.Tech in VLSI Design program fosters a strong research culture, encouraging students to contribute to cutting-edge developments in chip design and semiconductor innovation. JIIT faculty members are engaged in government-funded research projects from DST, DRDO, MeitY, and CSIR, covering:

  • AI-driven EDA Automation – Development of AI-optimized design flow for SoC and NoC architectures.
  • Energy-Efficient VLSI Circuits – Research in subthreshold and near-threshold computing for ultra-low-power IoT and wearable devices.
  • 3D ICs and Heterogeneous Integration – Exploring monolithic 3D chip stacking, advanced packaging, and chiplet architectures.
  • Next-Generation Memory Technologies – Design and optimization of RRAM, MRAM, and FeFET-based memory devices.

Programme overview

Main Subject

Engineering - Electrical and Electronic

Degree

MTech

Study Level

Masters

Study Mode

On Campus

Introduction

The M.Tech in VLSI Design at Jaypee Institute of Information Technology (JIIT) is a two-year specialized postgraduate program that provides students with a deep understanding of Very Large Scale Integration (VLSI) technology, semiconductor device physics, chip design methodologies, and advanced fabrication techniques. With the rapid advancements in AI-driven electronic design automation (EDA), low-power VLSI circuits, and 5G/6G hardware development, the demand for skilled VLSI engineers has grown exponentially. The global semiconductor industry is projected to exceed $1 trillion by 2030, with increasing applications in automotive electronics, IoT, artificial intelligence, and quantum computing. This program is designed to equip students with strong theoretical knowledge and hands-on experience in IC design, FPGA programming, ASIC development, and embedded hardware systems, making them industry-ready for careers in semiconductor manufacturing, processor design, and research-oriented roles.

Program Structure and Curriculum

The M.Tech in VLSI Design at JIIT follows a well-structured curriculum that incorporates core courses, electives, hands-on projects, and industry internships to bridge the gap between academics and real-world semiconductor industry demands. The program is spread over four semesters, covering subjects such as:

  1. Core Subjects:
  1. CMOS VLSI Design
  2. Digital VLSI Design
  3. Analog and Mixed-Signal IC Design
  4. Low-Power VLSI Design
  5. System-on-Chip (SoC) Design
  6. Hardware Description Languages (HDL) – Verilog and VHDL
  7. Semiconductor Physics and Device Modeling
  8. ASIC Design and FPGA-Based System Design
  9. Advanced Microelectronics and Nanotechnology
  1. Elective Courses:
  1. Neuromorphic Computing and AI Hardware
  2. Quantum Computing and VLSI
  3. High-Speed Digital Systems
  4. Embedded System Design
  5. MEMS and NEMS Technologies
  6. Cryptographic Hardware Security
  7. 5G and 6G Communication Hardware
  8. Machine Learning for VLSI Optimization
  1. Practical and Laboratory Work:
  1. Hands-on training with EDA tools such as Cadence, Synopsys, Mentor Graphics, Xilinx Vivado, and ANSYS HFSS.
  2. FPGA prototyping using Xilinx Zynq, Intel Altera, and Open-Source RISC-V architectures.
  3. Fabrication projects involving lithography, semiconductor processing, and MEMS-based applications.
  4. RTL design and simulation for high-speed computing and AI-optimized circuits.
  1. Research and Industry Exposure:
  1. Internship opportunities with Intel, Texas Instruments, Qualcomm, NVIDIA, TSMC, and STMicroelectronics.
  2. Research collaborations with ISRO, DRDO, IITs, and top semiconductor startups.
  3. Capstone projects on AI-powered VLSI verification, neuromorphic chip design, and low-power IoT hardware.

Advanced Topics and Specializations

The field of VLSI Design is evolving rapidly with the integration of AI, machine learning, and emerging quantum computing architectures. M.Tech students at JIIT get exposure to:

  1. AI-Driven Chip Design – Implementation of machine learning algorithms in EDA tools for automated design verification, power optimization, and timing analysis.
  2. Neuromorphic and Quantum Computing – Exploration of brain-inspired chip architectures and quantum VLSI, which are revolutionizing next-generation processors.
  3. 5G/6G Hardware and RFIC Design – Development of high-frequency integrated circuits (RFICs), power-efficient communication transceivers, and mmWave antennas for advanced communication technologies.
  4. IoT and Edge AI Processing – Low-power sensor chips, embedded FPGA-based accelerators, and real-time AI inference circuits for smart applications.
  5. Secure Hardware and Cryptographic Processors – Research in anti-tamper hardware designs, cryptographic accelerators, and blockchain-driven secure chips.

Laboratory and Industry Tools

The M.Tech in VLSI Design at JIIT is complemented by state-of-the-art VLSI and semiconductor labs, where students work with:

  • Cadence Virtuoso, Synopsys Design Compiler, Mentor Graphics ModelSim for ASIC and FPGA design.
  • State of art Fabrication and Characterization Lab
  • Xilinx ISE, Vivado, and Intel Quartus for FPGA prototyping and hardware validation.
  • ANSYS HFSS, CST Studio, and Keysight ADS for RF and high-speed digital design.
  • Silvaco TCAD and COMSOL Multiphysics for semiconductor device modeling and process simulation.

Career Opportunities and Placement

Graduates of M.Tech in VLSI Design at JIIT have excellent career prospects, with opportunities in semiconductor fabrication, embedded systems, AI-powered hardware, and research-based roles. Companies hiring VLSI professionals include:

  1. Semiconductor Giants: Intel, Qualcomm, AMD, NVIDIA, Broadcom, Texas Instruments, STMicroelectronics, MediaTek, TSMC, Samsung Foundry.
  2. EDA and VLSI Design Firms: Cadence, Synopsys, Mentor Graphics, Ansys, Xilinx, Altium.
  3. Embedded System and IoT Companies: Bosch, NXP, Renesas, ARM, Infineon, Micron, Western Digital.
  4. Research and Development (R&D) Organizations: ISRO, DRDO, BARC, IITs, NITs, and Semiconductor Research Corporations (SRCs).
  5. High-Tech Startups and AI Hardware Firms: Graphcore, Cerebras Systems, OpenAI Hardware Lab, Tenstorrent, Mythic AI.

Research and Innovation in VLSI at JIIT

The M.Tech in VLSI Design program fosters a strong research culture, encouraging students to contribute to cutting-edge developments in chip design and semiconductor innovation. JIIT faculty members are engaged in government-funded research projects from DST, DRDO, MeitY, and CSIR, covering:

  • AI-driven EDA Automation – Development of AI-optimized design flow for SoC and NoC architectures.
  • Energy-Efficient VLSI Circuits – Research in subthreshold and near-threshold computing for ultra-low-power IoT and wearable devices.
  • 3D ICs and Heterogeneous Integration – Exploring monolithic 3D chip stacking, advanced packaging, and chiplet architectures.
  • Next-Generation Memory Technologies – Design and optimization of RRAM, MRAM, and FeFET-based memory devices.

Admission Requirements

31 May 2024
Jul

Tuition fees

Domestic
83,150 INR
Domestic (Out of State)
83,150 INR
International
433,809 INR

Scholarships

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