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EasyUni Sdn Bhd

Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
4.4

(43) Google reviews

+60142521561

EasyUni Sdn Bhd

Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
4.4

(43) Google reviews

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Mechanical Engineering MSc

Course overview

Statistics
Qualification Master's Degree
Study mode Full-time, Part-time
Duration 1 year
Intakes
Tuition (Local students) Data not available
Tuition (Foreign students) S$ 26,753

Subjects

  • Mechanical Engineering

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Admissions

Intakes

Fees

Tuition

Data not available
Local students
S$ 26,753
Foreign students

Estimated cost as reported by the Institution.

Application

Data not available
Local students
Data not available
Foreign students

Student Visa

Data not available
Foreign students

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.

Entry Requirements

  • hold a lower second class honours degree in mechanical or automotive engineering or a related scientific or engineering discipline, or the equivalent from an international institution.
  • IELTS: 6.5

*Consideration is given to candidates who can demonstrate work experience in an appropriate field.

Curriculum

Core modules: 

  • Advanced heat transfer
  • Advanced computational fluid dynamics
  • Advanced structural mechanics
  • IC engines and vehicle propulsion
  • Research skills  
  • Combustion fundamentals and applications

Plus

  • Individual project

Elective modules (choose 3): 

  • Gas turbine engineering
  • Energy utilisation and management
  • Renewable energy
  • Mathematical modeling in CAD