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Home Programs Masters of Technology in Electronics Engineering

Masters of Technology in Electronics Engineering (M.Tech Electronics Engineering)

Engineering Eligibility: Bachelor Duration: 2 Course Mode: Regular Avg Package: 5 LPA to 7 LPA

Masters of Technology in Electronics Engineering Syllabus

The M.Tech in Electronics Engineering program covers advanced topics like VLSI design, embedded systems, and communication systems. It combines theoretical knowledge with practical skills, including electives in emerging technologies like IoT and quantum electronics. The program also includes research methodology and project work to solve real-world engineering challenges.

Semester 1

Semester 2

  • Advanced Engineering Mathematics
  • Advanced Embedded Systems
Topics: Linear Algebra, Partial Differential Equations, Probability Theory, TransformsTopics: Real-time Operating Systems (RTOS), IoT Architecture, Embedded System Design
  • Advanced Analog and Digital Electronics
  • Semiconductor Devices and Fabrication
Topics: Operational Amplifiers, Logic Circuits, Digital Systems, Analog Circuits DesignTopics: Transistor Operation, Fabrication Techniques, Integrated Circuit Technology
  • VLSI Design and Technology
  • Power Electronics and Applications
Topics: CMOS Technology, VLSI Design Flow, Digital VLSI Design, Testing and ReliabilityTopics: Power Conversion, Power Systems, Control Techniques, Power Amplifiers
  • Microelectronics
  • Wireless Communication Systems
Topics: Semiconductor Materials, PN Junctions, MOSFETs, Integrated CircuitsTopics: Cellular Networks, Wireless Networks, Mobile Communication, 4G/5G Systems
  • Communication Systems (Advanced)
  • RF and Microwave Engineering
Topics: Analog and Digital Communication, Modulation Techniques, Noise AnalysisTopics: RF Design, Antenna Systems, Microwave Transmission, Waveguides
  • Digital Signal Processing (DSP)
  • Signal Processing and Machine Learning
Topics: Signal Sampling, Filtering, Fourier Transforms, Discrete-Time SignalsTopics: Signal Analysis, Machine Learning Algorithms, Data Classification, Regression
  • Electromagnetic Theory
  • Elective I (e.g., IoT, Optical Communication, Communication Networks)
Topics: Maxwell’s Equations, Transmission Lines, Antennas, Wave Propagation-
  • Embedded Systems
  • Elective II (e.g., Quantum Electronics, Smart Sensors, Photonics)
Topics: Microcontrollers, Embedded Software Design, Real-Time Systems, Interfacing-
  • Research Methodology
  • Dissertation/Project Work
Topics: Research Design, Literature Review, Data Collection, Statistical AnalysisInvolves research or development of an electronics engineering project.
Seminar I-
Focus on presenting current research or industry trends.-

Key Areas Covered:

  • VLSI Design
  • Embedded Systems
  • Wireless Communication
  • RF Engineering
  • Power Electronics
  • Signal Processing
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