Verified programme sheet
Doctor of Philosophy in Engineering (By Research)
Doctor of Philosophy in Engineering (By Research) is a doctorate route in engineering and technology at Multimedia University (MMU), Malaysia under postgraduate research programmes. Review the verified field sheet below for admissions, fees, recognition, and official source links.
Duration
Please verify the current FT/PT min-max duration directly with MMU IPS.
Tuition
Tuition fee not clearly published on the official programme page accessed. Please verify directly with MMU IPS / Finance.
Intakes
Throughout the year.
Campus
Cyberjaya
Admissions
Entry, English, and application checks
These details are taken directly from the verified programme markdown and surfaced in full below.
Academic entry
Master's degree in the field or related field accepted by MMU Senate; OR non-related master's degree accepted by Senate with at least 2 years relevant work/research experience subject to rigorous internal assessment; other routes should be checked directly on the current official page.
English requirement
The standalone English requirement was not clearly captured in the excerpt accessed; please verify directly with MMU.
Additional checks
Official page lists extensive engineering research fields including AI, control, optics/photonics, energy harvesting, IoT, robotics and VLSI/SoC.
Outcomes
Career pathways and progression
Shown exactly as published or summarised in the verified source.
Career prospects not explicitly listed on the official programme page.
Source Of Truth
Full verified programme sheet
Nothing is hidden here. Every parsed programme field from the markdown source is displayed below in order.
Faculty of Artificial Intelligence & Engineering (FAIE)
PhD (By Research)
Full-time / Part-time
Please verify the current FT/PT min-max duration directly with MMU IPS.
Cyberjaya
Throughout the year.
Tuition fee not clearly published on the official programme page accessed. Please verify directly with MMU IPS / Finance.
Career prospects not explicitly listed on the official programme page.
Master's degree in the field or related field accepted by MMU Senate; OR non-related master's degree accepted by Senate with at least 2 years relevant work/research experience subject to rigorous internal assessment; other routes should be checked directly on the current official page.
The standalone English requirement was not clearly captured in the excerpt accessed; please verify directly with MMU.
Official page lists extensive engineering research fields including AI, control, optics/photonics, energy harvesting, IoT, robotics and VLSI/SoC.
Official MMU programme page published.
Recognition
Award, delivery, and recognition
Useful for checking what is being awarded, where the programme sits, and how recognition is described.
Accreditation / Recognition
Official MMU programme page published.
Award
PhD (By Research)
Field area
Engineering and Technology
Division
Faculty of Artificial Intelligence & Engineering (FAIE)
Study mode
Part Time
Programme family
Postgraduate Research Programmes
Institution Funding
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