Electrical Engineering (MEEE)

The Master of Philosophy (M.Phil.) at FKE is a research-based postgraduate program tailored for individuals with a bachelor’s degree in electrical engineering or equivalent field. Designed as a multi-disciplinary program, it aims to enhance participants’ abilities in advanced research, analytical thinking, and academic presentation. The program prepares candidates to contribute new insights or augment existing knowledge in their area of specialization through a research thesis. The degree is conferred upon successful completion of a research thesis and a comprehensive oral defense (viva voce). Prospective students are encouraged to strengthen their foundational knowledge and broaden their understanding across relevant disciplines to ensure they can carry out high-quality, impactful research.

Intake March/October* every year

Application for February* intake is open from September to November (for international student) and from September to December (for local student).
Application for October* intake is open from March to June (for international student) and from March to July (for local student).

Banner Master of Philosophy Electrical Engineering-MEEE

Graduates of this program are well-positioned for premium employment opportunities in sectors such as IC design, advanced electronics, power and energy systems, telecommunications, and automation. With their specialized research skills and technical expertise, they are highly sought after for roles in multinational technology companies, R&D divisions, smart manufacturing, and emerging industries like renewable energy, electric vehicles, and IoT. Many also progress into leadership, consultancy, or PhD programs, making them competitive candidates for both local and international career paths.

Career Prospect

Area of Study

Power Electronic and electrical machine drive
Renewable energy and energy storage system: PV solar, wind energy, battery and supercapacitor
Electric and hybrid vehicle system
Power System
Power System Optimization
Smart Grid
Power System Protection
Power System Stability
Power System Security Assessment
Lightning Monitoring and Protection Systems
Overvoltage Protection System and Insulation Coordination
Electrical Discharge Detection and Monitoring

Nanocomposite Insulating Materials
Deregulated Electricity Market
Electrical Energy Management
Power Quality
Alternative energy management
Renewable energy system sizing and optimization
Lightning measurement and characterization
Domestic electrical safety and energy efficiency.
High Voltage Instrumentation
Grounding System
Electromagnetic Field Interferences
High Voltage Simulation and Modelling

VLSI & Embedded Computing Architecture Design
Computational Nanoelectronics
Digital Signal and Image Processing
Bio-medical & Instrumentation Electronics
Microelectronics
Computer Engineering

Next Generation Broadband Network – 5G and Beyond 5G Technologies
Wireless Communication System
Satellite Communication System
Sonar and Acoustic Engineering
Radar Technology
Radio Wave Propagation

Antenna and Microwave/Millimeter wave
Optical Communication Systems and Networks
Internet-of-Everything (IoE) Solutions
Electromagnetic Compatibility and Interference
Pervasive networks and networks computing and security

Computer Control Systems
Design of embedded systems
Real-time Software Engineering for Mechatronics systems
Design of robots and robotics work cells
Application of advanced control in robotics
Multi-agent intelligent mobile robots
Internet-based tele robotics
Microelectromechanical System (MEMS)
Industrial automation and computer integrated manufacturing
Advanced Control strategies in Industrial Processes
Identification and Control of Industrial Processes

Intelligent Plant Interface
Advanced Transducer Application
Sensor technology
Process Tomography for flow measurement • Vision Systems
Neural Network, Fuzzy Logic and Genetic Algorithms
Intelligent Control Systems
Artificial Intelligence applications
Robust Control and Uncertain System
Smart sensors & Actuators
Real-time control system
Nanotechnology-based mechatronics and robotics

Study Mode & Duration

Mode (Full time)	Minimum Duration	Maximum Duration
On-campus (at UTM JB)	1 Years (2 Semester)	4 Years (8 Semester)

Mode of Study	Conventional
Mode of Operation	Self-governed

PMEEE : Master of Philosophy

Program Educational Objective (PEO)

PEO 1: Mastery of knowledge and competency in advanced areas of Electrical Power engineering field.

PEO 2: Practice professionalism and high standards of ethical conducts within organization and society.

PEO 3: Responsive to changing situations by continuously acquiring new knowledge and skills.

Program Learning Outcome (PLO)

At the end of this programme, graduates from this program are expected to have the
following outcomes:

PLO 1: Synthesize complex information, specialized concepts, theories, methods and practice independently in the field of Electrical Power Engineering.

PLO 2: Solve complex problems critically and integratively using systematic approaches.

PLO 3: Apply practical skills to solve problems in the field of Electrical Power Engineering.

PLO 4: Demonstrate effective collaboration with stakeholders professionally.

PLO 5: Communicate effectively the knowledge, skills and ideas using appropriate methods to peers, experts and communities.

PLO 6: Use digital technologies and appropriate softwares competently to enhance study, research and practice.

PLO 7: Evaluate numerical and graphical data critically using quantitative or qualitative tools in solving problems.

PLO 8 : Demonstrate leadership, autonomy and responsibility in managing resources.

PLO 9 : Engage self-advancement through continuous learning or professional development.

PLO 10 : Initiate entrepreneurial projects supported by relevant knowledge and skills.

PLO 11 : Demonstrate respectable ethical conducts and professionalism skills in an organization and society.

Study Plan

Sem.	Code	Sem.	Code
1	MEEE 1100	5	MEEE 3100
2	MEEE 1200	6	MEEE 3200
3	MEEE 2100	7	MEEE 4100
4	MEEE 2200	9	MEEE 4200

Please refer to the course synopses page for course description.

Entry Requirement*

The admission requirements for students entering the Taught Course program are as follows:

i	Bachelor’s degree in Electrical Engineering or its equivalent recognized by the University Senate (accredited program by the EAC body) with a CGPA ≥ 2.50 / 4.00 or CGPA < 2.50 / 4.00 with a minimum of 5 years of work experience in the relevant field; or
ii	Bachelor’s degree in Engineering other than Electrical Engineering (e.g., Mechanical Engineering, Aeronautical Engineering, Civil Engineering, etc.) or its equivalent with a minimum CGPA ≥ 3.00 / 4.00 and 2 years of work experience in the field of electrical engineering; or
iii	Bachelor’s degree in Science (Physics) or its equivalent with a minimum CGPA ≥ 3.00 / 4.00; or
iv	Bachelor’s degree in Science (Computer Science, Software, Information Technology) or its equivalent with a minimum CGPA ≥ 3.00 / 4.00 and 2 years of work experience in the field of electrical engineering; or
v	Bachelor’s degree in Engineering Technology (specifically in the field of electrical engineering) or its equivalent with a minimum CGPA ≥ 3.00 / 4.00; or
vi	Other qualifications approved by the Faculty’s Academic Committee.

Candidates who meet the requirements of (ii – vi) are required to take and pass the prerequisite courses determined by the Faculty with a minimum grade of (B-).

Detail of UTM admission requirements for International student candidates can be found here, whilst here for Malaysian.

*An international student candidate is required to have a minimum qualification of the TOEFL of 550 or IELTS of band 6.