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Doctor of Philosophy in Engineering (Research)

About

Postgraduate students at the Faculty of Artificial Intelligence and Engineering, Cyberjaya Campus, conduct research in various engineering fields including telecommunications, image processing, and optical engineering. The faculty is supported by five dedicated research centres: 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 centres play a vital role in facilitating research activities, fostering collaboration, and nurturing a vibrant and innovative research culture among faculty members and students alike.

 

Key facts

Statistics
Qualification Doctoral Degree (PhD)
Study mode Full-time, Part-time
Duration 2 years
Intakes January, February, March, April, May, June, July, August, September, October, November, December
Total estimated cost (local) RM 7,500
Total estimated cost (foreign) RM 12,750

Subjects

  • Engineering

Duration

2 years

Tuition fees

Description Local students Foreign students
Tuition fee RM 7,500 RM 12,750
Miscellaneous fees Data not available Data not available
Total estimated cost of attendance RM 7,500 RM 12,750
Estimated cost per year RM 3,750 RM 6,375

Miscellanous fees explained

Local students

Description Amount
Admission Fee RM 570
Deposit RM 500
Yearly Student Development Fee RM 200

Foreign students

Description Amount
Admission Fee RM 750
International Processing Fee (Student Visa) RM 2,850
Deposit RM 500
Yearly Student Development Fee RM 200

Estimated cost as reported by the institution. There may be additional administrative fees. Please contact us for the latest information.

Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.

Admissions

Intakes

Entry Requirements

  1. A Master’s degree in the field or related field accepted by the Senate; OR
  2. A Master’s degree in non-related fields as accepted by the Senate, and evidence of at least two (2) years relevant working or research experience, subject to rigorous internal assessment; OR
  3. A Master’s degree in non-related fields as accepted by the Senate and without relevant working experience, subject to rigorous internal assessment and passing pre-requisite courses; OR
  4. A Bachelor’s degree with minimum CGPA of 3.67 or equivalent in the field or related field from MMU or institutions recognised by Senate can be accepted subject to rigorous internal assessment
  5. Other qualifications equivalent to a Master’s degree in the field recognised by Malaysian Government.

English Entry Requirement:

  1. a minimum IELTS overall band score of 5.0 ; or
  2. a minimum overall TOEFL iBT score of 42 ; or
  3. a minimum MUET overall band score of 3 ; or
  4. a minimum Pearson Test of English score of 47 ; or
  5. a minimum Cambridge Qualifications and Test score of 154; or
  6. a minimum Linguaskill overall band score of 154

Curriculum

Fields of Research (but not limited to):

  • 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)

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