Minor in Biomedical Informatics
Overview
The Minor in Biomedical Informatics prepares undergraduates for the AI-driven digital medicine era by integrating healthcare, data science, artificial intelligence, and information technology. Students gain core skills in data management, large language models, biomedical data analysis, and medical decision support systems. The programme also cultivates competencies in evidence-based clinical decision-making, effective communication, strategic leadership, and entrepreneurship. Graduates emerge equipped to use data effectively, enhance patient outcomes through data management and analytics, and lead innovative clinical projects. They play a vital role in advancing healthcare practices through technology-driven solutions.
All first-year medical students in the coming academic year 2025/2026 are required to complete this Minor during their undergraduate candidature.
*Please note that the minor programme is currently only open to MBBS students.
If you are an enrolled student, please access more details about the courses via CANVAS. For more details on the course schedules, refer to ELENTRA.
Curriculum
The Minor consists of five courses, two of which - Digital Literacy in Healthcare and Data Literacy in Healthcare - are embedded within the NUS Common Curriculum for Healthcare Professional Education.
The comprehensive curriculum ensures that students gain proficiency in using data effectively, enhancing patient outcomes through data management and analytics while fostering seamless information flow across healthcare IT systems. By empowering medical students with these essential skills, the Minor in Biomedical Informatics positions them to lead the way in shaping the future of healthcare delivery.
This course features components of evidence-based practice and covers the principles of data analysis, and decision-making under uncertainty, relevant to clinical practice.
Students will acquire skills such as computational thinking, data science, artificial intelligence, machine learning in healthcare context, and more.
The course aims to introduce data standards, its sources (traditional and contemporary), and applications in healthcare. The potential use of state-of-the-art AI tools such as ChatGPT and large language models (LLMs) for enhancing information flow and data interoperability will also be discussed in this course.
This course highlights the framework for improving patient outcomes, safety, and satisfaction, with the strong support of structural data management and analytics.
This course highlights the effective use of data derived from medical records systems and devices, and its impact on healthcare.
Student Testimonials
"The Minor in BMI programme equipped me with essential skills that complement and enhance my medical education. Beyond learning the intricacies of the human body, this course has taught me how to navigate the digital tools and systems increasingly present in modern healthcare. 
