Certificate in Biomedical Informatics and Data Science
A pathway to Master of Science in Biomedical Informatics and Data Science, Arizona State University®
Course Overview
A 6-month online program designed to provide a foundational understanding of biomedical informatics and data science, with an emphasis on healthcare applications. The curriculum spread over 4 units (12 credit hours) covers critical topics such as:
- Applied Biostatistics in Medicine
- Bioinformatics
- Fundamentals of Health Informatics
- Health Information Communication
- Workflow Analysis
- Redesign in Health Systems Engineering
Intake(s)
March, May, July, September,
November, January
Location Online Program
Credit Hours 4 Units (12 Credit Hours)
Fees AUD 12,000 AUD 9,000
| Unit Code | Unit Name |
|---|---|
| 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 |
Bachelor degree holders with a minimum GPA of 3.00
| Exam | Score Range | English Course Requirement |
|---|---|---|
| TOEFL* | 100+ | Direct Entry – you will be eligible for admission without further English study. |
| TOEFL* | 80-99 | Required to take EGAA or ELP 8-week course. |
| IELTS | 7.5+ | Direct Entry – you will be eligible for admission without further English study. |
| IELTS | 6.5-7.0 | Required to take EGAA or ELP 8-week course. |
| PTE | 68+ | Direct Entry – you will be eligible for admission without further English study. |
| PTE | 60-67 | Required to take EGAA or ELP 8-week course. |
| Duolingo | 125+ | Direct Entry – you will be eligible for admission without further English study. |
| Duolingo | 105-124 | Required to take EGAA or ELP 8-week course. |
Master of Science in Biomedical Informatics and Data Science
Upon successfully completing the certificate at IHM, students will transition into the Master of Science in Biomedical Informatics and Data Science program at Arizona State University (ASU). This 12-month, 20-credit-hour program delves into advanced concepts in biomedical informatics, data science, and healthcare technology applications. It equips students with the skills needed 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. Additionally, students can choose from electives that allow them to specialize in healthcare systems or data science. Graduates of this program will be well-equipped with the skills necessary to lead innovation in healthcare technology, drive data-informed decision-making, and contribute to advancements in clinical informatics and healthcare data analysis.
