Doctor of Professional Practice Professional Practice (EKED)

The Doctor of Professional Practice programme, the first of its kind in Malaysia, is a collaborative effort by eight engineering, science, and technology faculties of UTM. It offers a balanced blend of taught coursework and research activities. Candidates will engage in eight cutting-edge courses and complete a capstone project, enabling professionals to apply their extensive practical experience to doctoral-level research. In this program, your professional expertise takes center stage. Through the capstone project, candidates harness their practical knowledge to conduct advanced research. The focus lies on developing innovative solutions to real-world challenges within your field. Structured into six-stages, the capstone project guides candidates through problem identification to project endorsement, with clear milestones to measure progress. Candidates have the flexibility to choose both university and industry supervisors, benefiting from their mentorship and experience. Our program offers a self-paced, 100% online delivery format. Additionally, our fee structure is flexible, based on the number of credits enrolled, allowing you to tailor your financial commitment according to your needs

Intake March/October* every year

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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).

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

Biomaterials
Biomechantronics
Biomedical Imaging
Biomedical Instrumentation
Biosignal Processing
Clinical Engineering

Health Care Management System
Medical Computing
Prosthetics & Orthotics
Rehabilitation Engineering
Tissue Engineering
Medical Imaging
Bioinformatics

Clinical Engineering
Health Care
Prosthetics & Orthotics
Rehabilitation Engineering
Physiotherapy

Study Mode, Duration and Scheme

	Course Code	Course Name	Credit
Sem. 1	ELPD 1113	Research Methods for Capstone Project	3
	ELPD 1123	Project Ideation	3
	ELPD 1110	Industrial Project 1 : Problem Identification and Conceptions	7
	TOTAL		13
Sem. 2	ULPD 1013	Ethics for Professional Practice	3
	ELPD 1233	Applied Analytics and Data for Decision-Making	33
	ELPD 1220	Industrial Project 2: Design and Planning	7
	TOTAL		13

	Course Code	Course Name	Credit
Sem. 1	ELPD 2143	Commercialisation & Marketing for Innovative Products	3
	ELPD 31X3	Elective *1	3
	ELPD 2130	Industrial Project 3 : Prototyping/ Modelling and Development	7
	TOTAL		13
Sem. 2	ELPD 2253	Doctoral Seminar in Engineering Research	3
	ELPD 2240	Industrial Project 4: Implementation and Testin	14
	TOTAL		17

	Course Code	Course Name	Credit
Sem. 1	ELPD 31X3	Elective 2*	3
	ELPD 3150	Industrial Project 5: Operation and Performance Assessment	14
	TOTAL		17
Sem. 2	ELPD 3260	Industrial Project 6: Contributions, Impacts, and Reflections	7
Sem. 2	TOTAL		7

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.

Curriculum Structure (80 credits)

Five (5) compulsory courses (15 credits)

ELPD 1113	Research Methods for Capstone Project
ELPD 1123	Project Ideation
ELPD 2143	Technology, Commercialisation, & Marketing of Innovative Product
ELPD 1233	Applied Analytics and Data for Decision Making
ELPD 2253	Doctor Seminar in Engineering Research

Six(6) Elective courses (6 credits) **Student are required to pass 2 elective courses, Choose 2 from the followings:

ELPD 3163	Future of Work
ELPD 3173	Design, Technology, and Planning for Sustainability
ELPD 3184	Customer Centricity as Competitive Advantage
ELPD 3153	Artificial Intelligence for Engineering Practice
ELPD 3193	Safety Engineering

Six(6) Stages (56 credits)

ELPD 1110	Industrial Project 1: Problem Identification and Conceptions
ELPD 1220	Industrial Project 2: Design and Planning
ELPD 2130	Industrial Project 3: Prototyping/ Modelling and Development
ELPD 2240	Industrial Project 4: Implementation and Testing
ELPD 3150	Industrial Project 5: Operation and Performance Assassment
ELPD 3260	Industrial Project 6: Contributions, Impacts, and Reflections

One (1) university elective course (3 credits)

ULPD 10133

Ethics for Professional Practice

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.