Total Fees

RM7,320

  • Level

    Postgraduate

  • Duration

    Full Time: 2-5 year(s)
    Part Time: 3-7 year(s)

  • Study Mode

    Full Time/Part Time

  • Major

    Engineering

  • Campus

    Cyberjaya, Selangor

  • Certification

    Multimedia University (MMU)

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Description

The postgraduate students from the Faculty of Artificial Intelligence and Engineering, Cyberjaya Campus carry out their research across the different areas of engineering which include telecommunications, image processing and optical engineering. Faculty staff members are very active in research activities as elaborated in the subsections below. There are 5 research centres in the faculty, namely the Centre for Wireless Technology, Centre for Advanced Devices and Systems, Centre for Electrical Energy and Automation, Centre for Digital Home and Centre for Optical Fibres. These research centres serve as platforms for research activities and discussions, and are very important for nurturing a vibrant research culture.

Intake Month(s)

Every Month

Application Fee RM 570.00
Refundable Deposit RM 500.00
Tuition Fee RM 3,750.00
External Exam Fee RM 2,500.00
Grand Total RM 7,320.00

Recommended Subject Combinations

  • 5G Mobile Network & Use Cases
  • Additive Manufacturing
  • Advanced Material & Devices
  • Advanced Signal & Processing
  • Advanced Simulation
  • Artificial Intelligence
  • Big Data
  • Biomedical Engineering
  • Broadband Communications
  • Control System & Signal Processing
  • Cyber Security
  • Electrical Power Systems & Green Energy
  • Embedded System Design
  • Energy Harvesting
  • Intelligent System & Machine Learning
  • Internet of Things (IoT)
  • Mathematical Sciences
  • Nanotechnology
  • Nanomaterials & Nanofabrication
  • Optical Engineering & Photonics
  • Precision Agriculture
  • Robotics & Automation
  • Sustainable Technology
  • VLSI & System-on-Chip (SoC)

  • 2-D/3-D Modelling and Reconstruction of Medical Images
  • 5G Research
  • Acquisition System
  • Actuators: Gear System and Design
  • Actuators: Variable Torque Motor
  • Advanced Material & Devices
  • Artificial Intelligence and Soft Computing
  • Artificial Neural Networks and Its Applications
  • Autonomous Mobile Robots
  • Biomedical Signal Processing
  • CAD-CAM Modelling and Simulation
  • Computer Assisted Manufacturing
  • Control Systems
  • Digital Filters
  • Digital Signal Processing
  • DNA Fingerprinting
  • Embedded System: Microcontroller, DSP, PLC, FPGA
  • Green Technologies
  • Engineering Tribology in Manufacturing Technology
  • Evolutionary Computation
  • Flexible Manufacturing Systems (FMS)
  • Humanoid Robots
  • Hydrodynamic Stability
  • Inventory Management
  • Machine Kinematics
  • Machine Vision / Object Recognition
  • Magnetic Resonance Imaging (MRI)
  • Mammography
  • Mathematical Methods, Algorithms and Applications for Image Processing
  • Mechanism and Control of Friction and Wear in Cutting Tools
  • Memetic Algorithm
  • Micro Heat Pipes
  • Micro-channel Heat Transfer
  • Optical Measurement Techniques: Fibre Sensors
  • Organisational Behaviour
  • Product Data Management
  • Production / Maintenance Planning and Scheduling
  • Quality Control
  • Rapid Prototyping
  • Remote Sensing and Surveillance Technologies
  • Renewable Energy Systems
  • Sensors: Distance and Colour Sensors
  • Signal and Image Processing
  • Statistical and Judgement Forecasting
  • Supply Chain Management
  • Technology of Cutting and Grinding Process
  • Telecommunications
  • Teleconference System
  • Total Quality Management
  • Turbulent Flows and Shock Waves
  • Ultrasound Imaging and Angiography Nuclear Medicine
  • Visualization
  • Wireless Communication Systems

Entry Requirement

  • Successful completion of a Master Degree in Engineering or related field with minimum CGPA 2.50

  • IELTS: 5.0 or equivalent
  • TOEFL IBT: 60
  • MUET: Band 2
  • Pearson (PTE): 42
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What We Do

Academics

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