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Health Informatics and Analytics (PG Certificate / PG Diploma / Master)
Health Informatics and Analytics is a discipline that combines healthcare, information technology and artificial intelligence. As one of the fastest growing economic sectors worldwide, Health Informatics (also referred to as Digital Health) is, in many countries, creating job opportunities twice as fast as any other economic sector.
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.
• Postgraduate Certificate – 6 months
• Postgraduate Diploma – 9 months
• Master – 1 year
• Postgraduate Certificate – 12 months to 4 years
• Postgraduate Diploma – 18 months to 5 years
• Master – 2 to 6 years
|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.
|Health Data Collection and Preparation
Introduction to data science, data storage and management, data transformation and cleaning.
|Health Data Analytics
Basic concepts of machine learning algorithms, such as supervised learning, unsupervised learning, deep learning and reinforced learning.
|Health Data Management
Relational database systems, Big Data management, data management solutions for Data Analytics
|Research Methodology and Scientific Writing
Introduction to healthcare research, design approaches and methodologies used in healthcare research projects
|Postgraduate Certificate||Postgraduate Diploma||Master|
|Advanced Health Informatics
Novel healthcare applications that make use of advanced informatics technologies.
|Health Data Visualisation
How to create meaningful presentations of quantitative or qualitative data to facilitate a a specific decision-making process.
|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.
|List of Elective Modules|
A. ACADEMIC REQUIREMENTS
B. ENGLISH LANGUAGE REQUIREMENTS
|For all 3 programmes
|For Malaysian Students
|For International Students
The following categories of students are exempted from the above requirements:
APPLICATION & REGISTRATION FEES
|Malaysian Student (RM)||International Student (RM)|
|Student Association Fee per Semester–||40||40|
- All students for the inaugural 2021 intake is eligible for a RM 5000 tuition fee bursary.*
- All IMU alumni who are self-funding their postgraduate studies and meet the eligibility criteria will be eligible for a 15% bursary.
- Application fee is payable upon submission of application.
- Registration fee and refundable caution deposit are payable upon acceptance of the offer letter issued by the IMU Admissions Office.
- * Terms and conditions apply
Prof Patrice François Boursier
PhD Comp Sci (UPMC), MSc Comp Sci (UPMC), BSc Comp Sci (UPMC)
Prof Patrice François Boursier has earned his PhD in Computer Science from University Pierre et Marie Curie (now part of Sorbonne Université Paris, France) in 1981. He received the National Accreditation for Full
Professorship from the French Ministry of Higher Education and the University of Paris-South (now part of Paris-Saclay University, France) in 1996.
He has been appointed Professor in Computer Science at International Medical University, Malaysia in February 2020 and is in charge of developing new undergraduate and postgraduate programmes related to Digital Health and Health Analytics. Prior to this, he had been a Full Professor and Head of the School of Computing at Taylor’s University (2018-2019), and Full Professor and Dean of the STEM Faculty at International University of Malaya-Wales (2014-2017). He had previously been an Associate Professor
at the University of Paris-South (France, 1984-1997), and a Full Professor in Computer Science at the University of La Rochelle (France, 1997-2014).
He has also been nominated Emeritus Professor from the University of La Rochelle in October 2014, and Knight in the Order of the Academic Palms by the French Ministry of Higher Education in 2003.
Prof Patrice François Boursier also has experience related to healthcare by his involvement in developing medical information systems for hospitals in France.
Dr Tan Ee Xion
Dr Tan Ee Xion received her PhD from Monash University in 2016. She has been in academia for almost 15 years. During her tenure, she was involved in many internal and external programme audits in private institutions in Malaysia. She has also played an essential role in developing new programmes in various Information Technology programmes, including Digital Health and Health Analytics programmes. She has been working on information systems, e-learning teaching and learning assessment, as well as social media research. She recently embarked in computational linguistic and cognitive science research, and she is currently supervising Masters and PhD students.
Prof Leong Chee Onn
Prof Adlina Suleiman
Dr Lim Lay Cheng
Hasnain Zafar Baloch
He has done research in several key e-learning areas, including mobile collaborative learning, Hospital Information System (HIS), Student Information System, social media, web 2.0, educational gaming, role-play simulation, virtual classrooms, learning (content) management systems, engagement tools, blended learning, Open Educational Resources, e-learning standards, instructional design and courseware development.
FREQUENTLY ASKED QUESTIONS
Please check the admission requirements on the IMU’s website. Basically, applicants must have a bachelor degree (not necessarily IT or Health Sciences). Working experience in relevant areas is considered too.
Students who do not have a background in Programming and /or Statistics will have to take these subjects at the beginning of the programme (see below the question about prerequisite modules).
Candidates who only have a Diploma, combined with working experience, have to apply to MQA for APEL (Accreditation of Prior Experiential Learning).
Yes, it is possible.
Yes, it is possible.
There are two intakes per year, starting in March and September.
Structure / Organisation
- All Core modules are delivered in sequence (“block teaching”). There are 4 Core modules delivered during the first semester, and 2 during the second semester. Each of these Core modules is delivered during 3-4 consecutive weeks, mostly face-to-face on weekends but also online (blended learning). The order of the modules has to be respected.
- Two elective modules are required for students who do not have a background in Programming and /or Statistics, they have to be taken at the beginning of the programme, in parallel with the first Core module (Health Systems and Informatics):
- Statistics Thinking for Health Analytics (2 credits) is compulsory for those who have no background in Statistics,
- Introduction to Computer Science and Programming (2 credits) is compulsory for those who have no background in Programming.
All courses are taught in English.
Classes are delivered online and face-to-face (blended learning). Face-to-face sessions happen on weekends (mostly Saturdays). Some seminars might be delivered on weekdays (evening as much as possible), depending on the availability of industry partners.
Tuition fees amount to RM40,000 for the Master programme, RM30,000 for the PGDip and RM20,000 for the PGCert
Tuition fees amount to RM50,000 for the Master programme, RM37,500 for the PGDip and RM25,000 for the PGCert
- Non-science students and those who have no background in IT will have to take the special elective “Introduction to Computer Science and Programming” at the beginning of the programme. Another elective, “Statistics Thinking for Health Analytics”, is also compulsory at the beginning of the programme for students who have no background in statistics.
- Core modules have been designed so that non-science students can follow, provided they are committed to succeed.
Yes, definitely, this new programme is the first of its kind in Malaysia and it will offer great opportunities for those who graduate. Similar programmes have been launched in the US, UK, Australia and Europe in the last few years because of the growing need for people having a double competency in Healthcare and IT (see the brochure, page 6).
Artificial Intelligence, and machine learning in particular, as well as IT in general, have proven to be more and more important in all areas of Healthcare, offering new opportunities for people having a double competency in Healthcare and IT (see the brochure, page 6). Such jobs as Health Informatics Specialist, Health Data Analyst, Health IT Project Manager, Health Information Officer or Health Informatics Manager are in growing demand.
ENQUIRIES? CONTACT US
Interested in applying for one of our programmes?
You will need to prepare the following documents for your application:
- Verified copies of your academic qualifications
- Evidence of English language proficiency
- A copy of your MyKad or the identification page of your passport
These supporting documents needs to be attached electronically to your application. Please note that all of our programmes require payment of a non-refundable application fee after the application has been submitted. Application will only be processed once the payment for application fee has been made. We wish you all the best with your application, and hope we will be welcoming you into one of our programmes soon!
WHY STUDY AT IMU
An Established Private Healthcare University
Flexible Learning Options
Understanding the Value of Health Information
“This programme has been designed to suit the needs of future health IT specialists and data scientists, enabling them to perform analyses and develop novel tools and methods for this rapidly growing field. It is aimed at students with diverse backgrounds, not limited to science related fields.
Students will learn about the breadth of the fields of health informatics and analytics. They will be able to design, perform and enhance analyses with the appropriate methods and technologies to address practical medical and clinical questions.
The Master in Health Informatics and Analytics leverages on the university teaching staff diversity – including computer science and informatics, biomedical, clinical and health sciences – alongside that of external industrial partners. This will deliver training across the breadth of health informatics and analytics from health informatics, epidemiology, clinical systems and bioinformatics.”
PATRICE FRANCOIS BOURSIER
Professor and Programme Director
PhD in Computer Science from
Université Pierre et Marie Curie, Paris 6, France