Certificate in
Biomedical Informatics and Data Science

Course Overview

The Certificate in Biomedical Informatics and Data Science at IHM is a 6-month online program designed to provide a foundational understanding of biomedical informatics and data science, with an emphasis on healthcare applications. This 4 units (12 credit hours) program offers students the opportunity to explore the intersection of healthcare, computer science, and data analysis. The curriculum covers critical topics such as Applied Biostatistics in Medicine and Bioinformatics, Fundamentals of Health Informatics, Health Information Communication, and Workflow Analysis and Redesign in Health Systems Engineering.

This program is ideal for individuals seeking to build a solid foundation in biomedical informatics before progressing to advanced studies. The online delivery format allows students to balance their studies with their professional and personal commitments while gaining practical, hands-on skills in healthcare data analysis and informatics.

Duration 6 Months

Intake(s) March, May, July, September,
November, January

Location Online Program

Credit Hours4 units (12 credit hours)

FeesUSD 8,000

What you’ll learn

Throughout this program, you will explore key topics such as data analytics, computational biology, and health informatics. The curriculum includes advanced training in the application of data science to biomedical challenges, preparing you to analyse complex datasets and contribute to innovations in healthcare and research. 

Who should enrol?

This program is ideal for individuals seeking to leverage data science and informatics to address challenges in healthcare and biomedical research. It is well-suited for those interested in the intersection of healthcare, technology, and data analytics, aiming to pursue careers in bioinformatics, health data management, or research.

Entry requirement

  • A bachelor’s or master’s degree in biology, computer science, engineering, nursing, or statistics from a recognised university.
  • Basic competencies in general biology, statistics, and computer programming.
  • Competitive applicants typically have a “B” (3.00 on a 4.00 scale) grade point average in the last 60 semester hours or 90 quarter hours of undergraduate coursework. If you do not meet the minimum GPA requirements, your application may still be considered by the department.
  • English proficiency (TOEFL, IELTS, or equivalent).

    (Refer to information at “English Proficiency Requirements” tab below for more details)

English proficiency requirements

  • TOEFL: Minimum score of 80 on the TOEFL iBT® (testing center only; no home editions accepted).
  • IELTS: Minimum overall band score of 6.5 (Academic).
  • PTE: Minimum score of 60.
  • Duolingo: Minimum score of 105.

units

  • BMI 515: Applied Biostatistics in Medicine and Bioinformatics
  • BMI 601: Fundamentals of Health Informatics
  • BMI 604: Health Information Communication
  • BMI 613: Workflow Analysis and Redesign in Health Systems Engineering

(IHM Credits: 4 units (12 credits hours))

Course start dates

March, May, July, September, November, January

Grade/Code

SAE Letter GPA SAE Grade Description
A+ 4.33 Excellent
A 4.00 Excellent
A- 3.67 Good
B+ 3.33 Good
B 3.00 Good
B- 2.67 Passing
C+ 2.33 Passing
C 2.00 Passing
D 1.00 No Graduate Credit
E 0.00 Failure
EN 0.00 Failing Never Participated2
EU 0.00 Failing Never Participated3
I Incomplete
NR No report
P n/a4
W Withdrawal
X Audit
Y Satisfactory
Z Course In Progress
XE 0.00 Academic Dishonesty

Notes: Grade Point Average (GPA): SAE uses a 4.00 GPA scale for both undergraduate and graduate courses.
Pass/Fail Courses: Some courses may use a “P” (Pass) or “F” (Fail) grading system, where “P” does not affect GPA.
Graduate Programs: Grades of “C” or lower may not count toward graduate degree requirements depending on the program.
Medium of Instruction: English is used for classes, written assignments and examinations.

Master of Science in Biomedical Informatics and Data Science

Arizona State University®

After successfully completing the certificate at IHM, students will transition into the Master of Science in Biomedical Informatics and Data Science at Arizona State University (ASU). This 12-month program (20 credit hours) focuses on advanced concepts in biomedical informatics, data science, and healthcare technology applications. The program prepares students to take on leadership roles in healthcare, research, and data-driven decision-making.

The ASU curriculum includes core courses such as Foundations of Biomedical Informatics Methods, Introduction to Clinical Environments, and Problem Solving in Biomedical Informatics, along with electives that provide opportunities to specialise in healthcare systems or data science. Graduates of this program are equipped with the skills to lead innovation in healthcare technology, drive data-informed decision-making, and contribute to advancements in clinical informatics and healthcare data analysis.

This dual approach, combining studies at IHM and ASU, enables students to earn a globally recognised qualification and gain expertise in a rapidly growing field.

Acknowledgement of Country

IHM acknowledges the Traditional Owners of country throughout Australia and recognises their continuing
connection to land, waters and culture. We pay our respects to their Elders past, present and emerging.

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