MSc Electronics and Embedded Systems
Architecting Smart Systems from Silicon to Code
About This Program
Program Description
The Master of Science in Electronics and Embedded Systems delivers advanced training in engineering mathematics, computational circuit analysis, operational-amplifier systems, transistor modeling, and mixed-signal interface design to analyze complex analogue and digital electronic subsystems.
Coursework examines semiconductor device physics, digital logic, microprocessor architecture, microcontroller systems, embedded C/C++ programming, and bare-metal firmware development alongside bare-metal and operating system environments.
Students develop specialized expertise in Real-Time Operating Systems (RTOS), Embedded Linux kernel driver architectures, deterministic task scheduling, hardware abstraction layers, and industrial or low-power wireless communication protocols including CAN, Ethernet, Bluetooth, and LoRaWAN.
The program integrates FPGA digital design using VHDL/Verilog, System-on-Chip (SoC) integration, hardware acceleration, digital signal processing (DSP), and advanced multilayer PCB design with strict signal integrity, power integrity, and electromagnetic compatibility (EMC) standards.
Advanced modules cover Internet of Things (IoT) edge computing, TinyML embedded AI inference, sensor fusion, motor control electronics, robotics architectures, medical instrumentation, automotive ECUs, and hardware-level cybersecurity including secure boot and hardware roots of trust.
The degree culminates in a major independent capstone research or hardware design project, preparing graduates for senior firmware, hardware development, systems architecture, and technical leadership roles across semiconductor, automotive, robotics, and consumer electronics industries.
Specializations
- Embedded Software Engineering & Real-Time Systems
- FPGA, System-on-Chip (SoC) & Digital VLSI Design
- Analogue, Mixed-Signal & High-Speed PCB Engineering
- Edge AI, TinyML & Embedded Computer Vision
- IoT, Wireless Communications & Edge Computing
- Embedded Cybersecurity & Trusted Hardware Systems
- Robotics, Embedded Control & Motor Drives
- Automotive & Industrial Cyber-Physical Systems
- Low-Power Design, Energy Harvesting & Wearables
- Sensors, Smart Instrumentation & Signal Processing
Core Courses
- Advanced Engineering Mathematics & Computational Methods for Electronics
- Analogue, Digital & Mixed-Signal Circuit Design
- Microprocessor Architecture & Advanced Embedded Hardware
- Embedded C/C++ Firmware Engineering & Driver Development
- Real-Time Operating Systems (RTOS) & Embedded Linux
- Internet of Things (IoT) Architectures & Edge Computing
- Digital Signal Processing (DSP) & Sensor Fusion Systems
- FPGA Systems Engineering & System-on-Chip (SoC) Design
- High-Speed PCB Design, Signal Integrity & EMC
- Embedded Control Systems, Robotics & Motor Drives
- Edge AI, TinyML & Embedded Computer Vision
- Embedded Systems Cybersecurity, Secure Boot & Hardware Security
Admissions
Entry Requirements
Applicants must hold an accredited bachelor's degree in Electronics, Electrical Engineering, Computer Engineering, Mechatronics, Computer Science, or a closely related discipline, along with proven English proficiency. Candidates from Physics, Software Engineering, or related technical fields will also be considered, though bridging coursework may be required.
Candidates require a strong foundation in engineering mathematics, circuit theory, digital/analogue electronics, programming, microcontroller architectures, and signal analysis. Demonstrated analytical, programming, and hardware design capabilities are essential for postgraduate study.
Relevant industry experience in PCB design, embedded software, firmware development, robotics, IoT, or consumer electronics can strengthen an application. Candidates may be evaluated through academic transcripts, technical portfolios, or interviews in accordance with university admissions policies.
Applicants must fulfill general university postgraduate entry requirements alongside any specific departmental criteria. Admissions decisions consider prior academic performance, technical background, research, and professional qualifications.
What You'll Achieve
Learning Outcomes
Formulate mathematical models and analyze complex analogue, digital, and mixed-signal electronic systems using differential equations, numerical methods, and advanced circuit theory.
Architect processor-based embedded hardware, field-programmable gate arrays (FPGAs), System-on-Chip (SoC) platforms, and high-speed printed circuit boards with robust signal and power integrity.
Develop real-time, deterministic firmware using C/C++, Real-Time Operating Systems (RTOS), and Embedded Linux to implement custom peripheral drivers and control algorithms.
Design low-power, connected Internet-of-Things (IoT) device architectures incorporating wireless protocols, edge analytics, sensor fusion, and TinyML/Edge AI inference.
Implement hardware-level cybersecurity mechanisms, secure boot, trusted execution environments, functional safety protocols, and fault-tolerant diagnostic strategies.
Execute an end-to-end embedded engineering project, translating requirements into validated hardware-software prototypes while managing manufacturability, lifecycle costs, and technical documentation.
After Graduation
Career Opportunities
A Closer Look
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