About the programme
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.
Entry requirements
| A. ACADEMIC REQUIREMENTS | B. ENGLISH LANGUAGE REQUIREMENTS |
|---|---|
For all 3 programmes
Internal Guidelines
| For Malaysian Students Not applicable |
For International Students
The following categories of students are exempted from the above requirements:
|
What you’ll study
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 |
|
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.
Career pathways
Contact the institution for current information.
Programme information is supplied through StudyMalaysia. Confirm current fees, intake dates, requirements and availability directly with the institution.