Course Details
International Medical University (IMU) Logo

Masters in Health Informatics and Analytics

Offered by: International Medical University (IMU)
Course Duration1 Yr
Part Time/Full TimeFull Time/Part Time
Fees (International Student)50000/Course
FacultySchool of Postgraduate Studies
Conducted entirely in MalaysiaYes
Level of StudyMasters Degree Level
Field of StudyMedicine & Healthcare
Course Description

IMU’s one-year full-time Master in Health Informatics and Analytics programme – also available part-time – provides the perfect pathway for recent graduates or professionals from various areas who intend to move their career into this area of the healthcare sector. This is also an ideal programme for current health and social care practitioners who are looking to gain additional knowledge and skills in digital innovation.

Delivered by a multidisciplinary team of experts in computing and health-related disciplines, students in this programme will be able to learn about state-of-the-art technologies and systems, either related to IT (for example data analytics, mobile applications, sensors and wearables) or healthcare (for example electronic health records and remote monitoring).

The programme offers an accelerated, modular and blended learning to provide more flexibility to working professionals in the form of online study options. In order to ensure a rounded understanding of the issues to formulate intervention and value creation strategies in class simulation or actual industry-based intervention, students will have to undergo a robust curriculum that involves lectures, tutorials, case studies, written assignments, group projects, presentations and discussion boards.


Programme Structure

    Postgraduate Certificate Postgraduate Diploma Master
Health Systems and Informatics


Emerging trends and governance in Global Health, basic functions and building blocks of Health Systems and Health Informatics.

Core ? ? ?
Health Data Collection and Preparation


Introduction to data science, data storage and management, data transformation and cleaning.

Core ? ? ?
Health Data Analytics


Basic concepts of machine learning algorithms, such as supervised learning, unsupervised learning, deep learning and reinforced learning.

Core ? ? ?
Health Data Management


Relational database systems, Big Data management, data management solutions for Data Analytics

Core ? ? ?
Research Methodology and Scientific Writing


Introduction to healthcare research, design approaches and methodologies used in healthcare research projects

Core     ?
Elective E ? ? ?
TOTAL   20 20 20
    Postgraduate Certificate Postgraduate Diploma Master
Advanced Health Informatics


Novel healthcare applications that make use of advanced informatics technologies.

Core   ? ?
Health Data Visualisation


How to create meaningful presentations of quantitative or qualitative data to facilitate a a specific decision-making process.

Core   ? ?
Elective E   ? ?
Healthcare Analytics Research Project


Apply the techniques and theory gained from the teaching and learning of the Master in Health Informatics and Analytics into a medium-scale data science project.

Research     ?
TOTAL   10 18
List of Elective Modules
  • Statistics Thinking for Health Analytics (Compulsory for those without statistical background)
  • Introduction to Computer Science and Programming (Compulsory for those without computing background)
  • Operations Management
  • Digital Leadership
  • Entrepreneurial Leadership
  • Strategic Management
  • Bioinformatics
  • Systems Biology
  • Molecular Medicine
  • Public Health Practices


Apart from online assessments, practical assignments, essays, reports and presentations, students who enrol in the Master programme will have to conduct a 10- week research project, write a dissertation and make a presentation of the findings and results.

Entry Requirements
For all 3 programmes


  1. A bachelor degree or equivalent with minimum CGPA of 2.50 as accepted by the HEP Senate; or
  2. A Bachelor’s Degree in the field or related fields or equivalent with a minimum CGPA of 2.00 and not meeting a CGPA of 2.50, can be accepted subject to rigorous internal assessment.


Internal Guidelines

  1. Students without a statistical background must take “Statistics Thinking for Health Analytics-2 credits” (Semester 1)
  2. Students without a computing background must take “Introduction to Computer Science and Programming – 2 credits” (Semester 1)
For Malaysian Students
Not applicable
For International Students


  • IELTS : Band score 5.0; or
  • TOEFL (iBT) : Overall score of 42; or
  • Cambridge English : Advanced (CAE) : Overall score of 154; or
  • Cambridge English : Proficiency (CPE) : Overall score of 154; or
  • Cambridge Linguaskill : Overall score of 160; or
  • Pearson Test of English (PTE) : Overall score of 47;

The following categories of students are exempted from the above requirements:

  • International students from countries in which English is the first language.
  • International students who graduated from any Malaysian or other institutions where the curriculum is delivered in English.
Intake Months


All fees are in RM (Ringgit Malaysia) currency unless stated otherwise.

Other Courses in this Level of Study Other Courses in this Field of Study

Back to Courses

Download FREE myCourseGuide
Course Interest Test - Find out what course is right for you!
Course Interest Test - Find out what course is right for you!