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Doctor of Philosophy (PhD) in Engineering

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City University Malaysia

Doctor of Philosophy (PhD) in Engineering

university icon
City University Malaysia

Doctor of Philosophy (PhD) in Engineering

Qualification
Doctoral Degree (PhD)
Duration
3 years
Intake
JanJanMayMaySepSep
English Requirement
IELTS 6.0
Offer Letter
Free
Class Type
Physical
Course Fee for International Students
Yearly Tuition fees
Year Fee
1st YearMYR 13,000
2nd YearMYR 11,500
3rd YearMYR 11,500
Other Fees
Description Fee
COMPLETION PROCESSING FEEMYR 1,000
INTERNATIONAL FEEMYR 8,000
VISA & APPLICATION FEE (EMGS)MYR 3,810
University fees for this course do not include 6% tax (SST)

Would you like to apply to
City University Malaysia ?

The Doctor of Philosophy (PhD) in Engineering at City University Malaysia is designed to develop scholars capable of conducting advanced research in their specialisation areas and addressing complex engineering problems. This programme promotes discovery and contributes to the expansion of new knowledge within the engineering field.

In addition to technical expertise, the programme aims to produce doctoral graduates who are knowledgeable, proficient, and equipped with strong practical skills, professional values, and essential personal attributes. 

Graduates will gain analytical and problem-solving abilities necessary for independent research at the doctoral level, producing outcomes that are relevant in both national and global contexts. They are also encouraged to disseminate their research findings through publications in reputable academic journals, enhancing the visibility and impact of their work.

Entry Requirements

  • A Master’s degree (Level 7, MQF) in the field of Engineering or related fields as accepted by the HEP Senate.

For other qualifications and certificates (e.g., non-related fields,Other qualifications equivalent to a Master’s degree , etc..) please contact our educational consultants or submit your application for Admission assessment.

Subjects Offered*

  • Research Methodology
  • Advanced Engineering Statistics (Elective)
  • Seminar on Emerging Technologies (Elective)
  • Advanced Computational Methods (Elective)
  • Thesis: Research Progress Report 1
  • Thesis: Proposal Defence
  • Thesis: Research Progress Report 2
  • Thesis: Data Analysis, Colloquium & Final Thesis Submission
  • Thesis: Viva Voce & Final Submission
  • *Not limited to
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