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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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MSc in Public Health

Course overview

Statistics
Qualification Master's Degree
Study mode Full-time
Duration 1 year
Intakes September
Tuition (Local students) S$ 12,092
Tuition (Foreign students) S$ 12,848
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Admissions

Intakes

Fees

Tuition

S$ 12,092
Local students
S$ 12,848
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

  • Bachelor’s Degree (Hons) with a minimum CGPA of 2.50;
  • Medical Degree recognised by the Irish or Malaysian Medical Councils.
  • English language proficiency.

Curriculum

Core modules:

  • Research Methods in Epidemiology
  • Aetiology of Disease
  • Public Health Practice
  • Health Promotion
  • Quantitative & Qualitative Analysis
  • Overview of International Health
  • Sociology of Health and Illness
  • Health Management
  • Global Health Threats
  • Dissertation

Optional Modules:

  • Health & Social Sciences
  • Risk Pereception, Communication & Behaviour Changes
  • Environmental & Health
  • Health Economics
  • Nutrition Epidemiology
  • Infectious Disease Epidemiology
  • Social Epidemiology
  • Statistical Modelling & Survival Analysis