Certificate in Biomedical Informatics and Data Science
A pathway to Master of Science in Biomedical Informatics and Data Science, Arizona State University®
This 6-month online program offers a comprehensive introduction to biomedical informatics and data science, with a focus on healthcare applications. Spanning 4 units (12 credit hours), the curriculum covers key topics, including:
- Applied Biostatistics in Medicine
- Bioinformatics
- Fundamentals of Health Informatics
- Health Information Communication
- Workflow Analysis
- Redesign in Health Systems Engineering
| 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. |
March, May, July, September, November, January
Master of Science in Biomedical Informatics and Data Science
Upon successful completion of the certificate at IHM, students will progress into the Master of Science in Biomedical Informatics and Data Science program at Arizona State University (ASU). This 12-month, 20-credit-hour program explores advanced topics in biomedical informatics, data science, and healthcare technology. It prepares students with the expertise required to assume leadership positions in healthcare, research, and data-driven decision-making.
The ASU curriculum features core courses like Foundations of Biomedical Informatics Methods, Introduction to Clinical Environments, and Problem Solving in Biomedical Informatics. Students also have the option to select electives, enabling them to specialize in healthcare systems or data science. Graduates will be equipped with the skills to drive innovation in healthcare technology, lead data-driven decision-making, and contribute to advancements in clinical informatics and healthcare data analysis.