Postgraduate Certificate in Health Informatics and Analytics

MQA/PSA13973 KPT/JPT(N/720/7/0131)09/2025

Course Information

Mode: Onsite
Duration: 6 months
Intakes:

September

Type: Flexible Full-time/Part-time Mode
Conducted in Malaysia: Yes
Level of Study: Postgraduate Certificate
Field of Study: Medicine & Healthcare
Faculty: School of Postgraduate Studies
Fees: 20000/Course / 25000/Course (international)

Course Overview

Health Informatics and Analytics

(POSTGRADUATE CERTIFICATE / POSTGRADUATE DIPLOMA / MASTER)

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.

Curriculum

Programme Structure

    Postgraduate Certificate Postgraduate Diploma Master
SEMESTER 1  
Subject  
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
SEMESTER 2  
Subject  
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
Subject
  • 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

ASSESSMENT

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

A. ACADEMIC REQUIREMENTS B. ENGLISH LANGUAGE 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.
  • All fees are in RM (Ringgit Malaysia) currency unless stated otherwise.

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