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EasyUni Sdn Bhd

Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
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EasyUni Sdn Bhd

Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
4.4

(43) Google reviews

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Postgraduate Diploma in Health Informatics and Analytics

About

Health Informatics and Analytics is an interdisciplinary field that integrates healthcare, information technology, and artificial intelligence. IMU’s programme is designed to cultivate the next generation of researchers and practitioners who will drive innovation and transformation in healthcare. Students will develop the expertise to enhance patient care through advanced digital solutions, guided by a diverse team of experts spanning computing and health-related disciplines.  

IMU provides students with a direct pathway to prestigious postgraduate programmes, including the Master of Science in Digital Health Systems at the University of Strathclyde, Glasgow, Scotland, and the Doctor of Health Informatics programme at Rutgers University, New Jersey, USA. The programme equips students with a strong foundation in health informatics and analytics, enabling them to apply key principles in real-world healthcare settings. Students will also gain an understanding of the value of health information, the integration of health information systems, and the role of information-related technologies in modern healthcare delivery.  

Designed to accommodate working professionals, the programme incorporates a blended learning approach, allowing students to balance their studies with work, family, and other commitments. The curriculum is meticulously structured to align with industry expectations in health informatics and analytics. Participants will gain practical experience working in diverse, multidisciplinary healthcare environments and related industries, while also developing essential communication and implementation skills.  

IMU embeds students within a collaborative and interdisciplinary ecosystem, integrating expertise from highly experienced faculty members and industry leaders. Guest lecturers from the healthcare and IT sectors provide valuable industry insights, creating a rich training environment for the next generation of health IT specialists and data scientists.

Part-time study mode duration: 18 month - 5 years

Key facts

Statistics
Qualification Master's Degree
Study mode Full-time
Duration 18 months
Intakes September
Tuition (Local students) B$ 9,946
Tuition (Foreign students) B$ 11,303

Subjects

  • Computer Science, IT

  • Health and Medicine

Duration

18 months

Tuition fees

Description Local students Foreign students
Tuition fee B$ 9,946 B$ 11,303
Miscellaneous fees Data not available Data not available
Total estimated cost of attendance B$ 9,946 B$ 11,303
Estimated cost per year B$ 6,631 B$ 7,535

Miscellanous fees explained

Local students

Description Amount
Application Fee B$ 45-B$ 90
Registration Fee B$ 90-B$ 391
Caution Deposit (refundable) B$ 301-B$ 904

Foreign students

Description Amount
Application Fee B$ 150-B$ 286
Registration Fee B$ 301-B$ 1,024
Caution Deposit (refundable) B$ 301-B$ 904

Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.

Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.

Admissions

Intakes

Entry Requirements

Academic Requirements:

  • A Bachelor’s Degree in the field or related fields with a minimum CGPA of 2.50 or equivalent, as accepted by the HEP Senate; or 
  • 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 
  • A Bachelor’s degree in Non-Computing field with a minimum CGPA of 2.00 can be accepted subject to a thorough rigorous assessment as determined by the HEP to identify the appropriate prerequisite courses that are equivalent to their working experience in the Computing or related fields; or 
  • A Bachelor’s degree in Non-Computing field with a minimum CGPA of 2.00 can be accepted subject to appropriate prerequisite courses; 

Additional Criteria:

  • Students without statistical background must take “Statistics Thinking for Health Analytics” (Semester 1)
  • Students without computing background must take “Introduction to Computer Science and Programming” (Semester 1)

English Proficiency Requirements:

For Malaysian Students

Not applicable

For International Students

  • IELTS : Band score 5.5; or
  • TOEFL (iBT) : Overall score of 46; or
  • Cambridge English : Advanced (CAE) : Overall score of 160; or
  • Cambridge English : Proficiency (CPE) : Overall score of 160; or
  • Cambridge Linguaskill : Overall score of 160; or
  • Pearson Test of English (PTE) : Overall score of 51;

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.

Curriculum

Postgraduate Certificate (Semester 1)

  • Health Systems & Informatics
  • Health Data Collection & Preparation
  • Health Data Analytics
  • Health Data Management
  • Elective

Postgraduate Diploma

Semester 1

  • Health Systems & Informatics
  • Health Data Collection & Preparation
  • Health Data Analytics
  • Health Data Management
  • Elective

Semester 2

  • Seminar in Transformative Technology in Healthcare
  • Health Data Visualisation
  • Elective

 

List of Elective Modules:

  • Special Electives
    • Statistics Thinking for Health Analytics (Compulsory for non-statistical background)
    • Introduction to Computer Science & Programming (Compulsory for non-computing background)
  • Management Electives
    • Entrepreneurial Marketing
    • Healthcare Strategic Management
    • Healthcare Operations Management
  • Digital Health Electives
    • Digital Transformation