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MASTER IN HEALTH INFORMATICS AND ANALYTICS
Study a discipline that combines healthcare, information technology and artificial intelligence at IMU
About The Programme
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).
ENQUIRY
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WHY Study at IMU?
An Established Private Healthcare University
Flexible Learning Options
Interdisciplinary Environment
Understanding the Value of Health Information
Entrepreneurial Skills
Key Facts
- DEGREE
Postgraduate Certificate / Postgraduate Diploma / Master in Health Informatics and Analytics
Dual Master Degree Pathway of Master in Health Informatics & Analytics (IMU) and MSc Digital Health Systems (University of Strathclyde)
- TUITION FEE PER YEAR
For Students Taking Dual Master Degree Pathway
Dual Master Degree with University of Strathclyde: 16,000 pounds** (120 credit hours)
# Doctor of Health Informatics (DHI) programme at Rutgers University, New Jersey, USA: USD 48,000
- COMMENCEMENT
September
- DURATION
Full time
Postgraduate Certificate: 6 months (20 credit hours)
Postgraduate Diploma: 9 months (30 credit hours)
Master: 1 year (40 credit hours)
Dual Master Degree: 1 year + 9 months (full time)
Part time
Postgraduate Certificate: 1 to 4 years (20 credit hours)
Postgraduate Diploma: 1.5 to 5 years (30 credit hours)
Master: 2 to 6 years (40 credit hours)
- FEE PER CREDIT HOUR
Malaysian Student
Postgraduate Certificate: RM1,000*
Postgraduate Diploma: RM1,000*
Master: RM1,000*
International Student
Postgraduate Certificate: RM1,250*
Postgraduate Diploma: RM1,250*
Master: RM1,250*
* All tuition and ancillary fees are subject to annual increases, currency exchange rates, and exclusive of levy and bridging fees (if any).
** Current estimates only
Partner Universities
Who is Eligible to Study?
A bachelor degree or equivalent with minimum CGPA of 2.50 as accepted by the HEP Senate; or
A bachelor degree or equivalent with CGPA of less than 2.50 and a minimum of 5 years working experience.
Career Opportunities
Upon graduation, the sutdents will be able to:
- Serve as a subject matter expert in Healthcare Informatics and Analytics within a team.
- Develop structured processes to ensure data availability, usability, integrity and security.
- Utilise a wide variety of methods and technologies to support decision making.
- Utilise innovation and systems thinking to move the organization forward.
LEADERSHIP
- Director
- Chief Analytics Officer
- Data Manager
- Team Leader or Manager
PROJECT MANAGEMENT
- Principal Project Manager
- Senior Project Manager
- Project Manager
- Associate Project Manager
SCIENTISTS
- Bioinformatician
- Clinical Informaticist
- Health Informaticist
- Statistician
DATA SCIENTISTS
- Healthcare Business Analyst
- Health Intelligence Analyst
- Consumer Health Informaticist
- Product Manager
A WORD FROM
THE PROGRAMME DIRECTOR
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.
DR YAM WAI KEAT
Senior Lecturer and Programme Director
BSc (Hons) Bioinformatics (UM),
PhD in Structural Bioinformatics (USM)
OUR FACULTY MEMBERS
PROF PATRICE FRANÇOIS
BOURSIER
Professor
BSc (France), MSc (France), PhD (France)
DR YAM WAI KEAT
Senior Lecturer and Programme Director
BSc (Hons) Bioinformatics (UM), PhD in Structural Bioinformatics (USM)
DR TAN EE XION
Senior Lecturer
BCS (Monash), MIT (Monash), PhD (Monash)
DR CHUAH TONG KUAN
Senior Lecturer
PhD BME (Nan. Tech), BEng (Nan. Tech)
