H a l t o n A c a d e m y

About Us

Our goal is simple: we help you grow to be your best. Whether you’re a student, working professional, corporate organization or institution, we have tailored initiatives backed by industry specific expertise to meet your unique needs.

Contact Info

Halton Academy For Management and Technology Private Limited,
39/2475-B1 LR Towers, South Janatha Road, Palarivattom, Ernakulam, Kerala - 682025, India.

+91-7511-1890-01

4 Francis Street, le2 2bd, England,
United Kingdom.

hello@haltonacademy.com

Master’s program in Electrical and Electronics Engineering

*Core Courses* 

(Common for All Students) 

1. *Advanced Mathematics for Engineers* 

   - Linear algebra, optimization, numerical methods, stochastic processes. 

   - Applications in circuit design, signal processing, and control systems. 

 

2. *Advanced Electrical Circuits & Systems* 

   - Nonlinear circuits, network synthesis, distributed parameter systems. 

 

3. *Power Electronics & Drives* 

   - Converters (AC/DC, DC/DC), inverters, motor drives, renewable energy integration. 

 

4. *Digital Signal & Image Processing* 

   - Discrete-time systems, wavelet transforms, computer vision, real-time DSP applications. 

 

5. *VLSI Design & Embedded Systems* 

   - CMOS design, FPGA programming, System-on-Chip (SoC), ARM-based embedded systems. 

 

6. *Control Systems & Robotics* 

   - State-space modelling, adaptive control, robotic kinematics, industrial automation. 

 

7. *Electromagnetic Fields & Wave Propagation* 

   - Maxwell’s equations, antennas, RF/microwave engineering, optical communication. 

 

8. *Semiconductor Devices & Nanoelectronics* 

   - MOSFETs, MEMS, optoelectronics, quantum devices, fabrication techniques. 

 

9. *Research Methodology & Technical Communication* 

   - Thesis writing, grant proposals, data analysis tools (MATLAB, Python). 

 

*Specialization Tracks* 

(Choose 1–2 Focus Areas) 

 

*1. Power Systems & Renewable Energy* 

   - Smart grid technologies 

   - Energy storage systems (batteries, supercapacitors) 

   - High-voltage engineering 

   - Wind/solar energy systems 

   - Power system cybersecurity 

 

*2. Electronics & Embedded Systems* 

   - Analog/digital VLSI design 

   - IoT hardware and sensor networks 

   - Real-time operating systems (RTOS) 

   - MEMS/NEMS devices 

   - Low-power circuit design 

 

*3. Communications & Networking* 

   - 5G/6G wireless networks 

   - Optical fibre communication 

   - Satellite and radar systems 

   - Error-correcting codes 

   - Network security for IoT 

 

*4. Control, Automation & Robotics* 

   - Industrial robotics (PLC, SCADA) 

   - Autonomous vehicles and drones 

   - AI/ML for predictive control 

   - Swarm robotics 

   - Human-machine interfaces 

 

*5. Signal Processing & AI* 

   - Biomedical signal analysis 

   - Deep learning for computer vision 

   - Speech and audio processing 

   - Radar signal processing 

   - Reinforcement learning in control systems 

 

*6. Microelectronics & Photonics* 

   - Nanoelectronics and spintronics 

   - Photonic integrated circuits 

   - Semiconductor fabrication labs 

   - Quantum computing basics 

   - Advanced semiconductor modelling 

 

*Lab/Project Work* 

- *Advanced Labs*: 

  - Power electronics simulation (PSIM, PLECS) 

  - VLSI design (Cadence, Synopsys) 

  - Embedded systems (Arduino, Raspberry Pi, FPGA) 

  - RF/antenna design (ANSYS HFSS, CST) 

- *Capstone Project/Thesis*: 

  - Industry-sponsored projects (e.g., EV charging systems, smart grid prototypes). 

  - Original research (e.g., AI-driven power management, nano-sensor design). 

 

*Sample Semester-wise Structure* 

(2-Year Program Example) 

 

| *Year 1*                          | *Year 2*                          | 

|-------------------------------------|-------------------------------------| 

| *Semester 1*                      | *Semester 3*                      | 

| - Advanced Mathematics              | - Elective 3                        | 

| - Power Electronics                 | - Elective 4                        | 

| - VLSI Design                       | - Thesis/Project Phase I            | 

| *Semester 2*                      | *Semester 4*                      | 

| - Digital Signal Processing         | - Thesis/Project Phase II           | 

| - Control Systems                   | - Elective 5 (if required)          | 

| - Elective 1                        | - Industry Internship (optional)    | 

 

*Emerging Topics (Electives)* 

- Electric Vehicle Technology 

- AI/ML for Power Systems Optimization 

- Biomedical Instrumentation 

- Cybersecurity for Critical Infrastructure 

- Quantum Sensors and Devices 

- Edge Computing for IoT 

 

*Credit System* 

- *Total Credits*: 60–80 ECTS (varies by country). 

- *Breakdown*: 

  - Core Courses: 25–30 credits 

  - Electives: 20–25 credits 

  - Thesis/Project: 15–20 credits 

 

*Key Skills Developed* 

- Circuit design and simulation (PSpice, LTspice). 

- Embedded programming (C/C++, Verilog/VHDL). 

- Power system analysis (ETAP, MATLAB/Simulink). 

- Research and innovation in IoT, robotics, and smart grids.