BMI5111 Capstone Project

BMI5111 Course Information

Integrating healthcare and data analytics is critically important for advancing biological and medical outcomes. Understanding data analytics and data science, particularly in relation to artificial intelligence, is essential to remain competitive and relevant in today’s rapidly evolving healthcare landscape. 

BMI5111 is a full-time, 13-week internship that provides students with hands-on experience in integrating bioinformatics and data analytics to address real-world problems. Through this, students will gain valuable skills in data processing, exploration, and developing insights applicable to healthcare. 

Students planning to enroll in BMI5111 in AY2026/2027 Semester 1 should approach supervisors in their field of interest.

Once the supervisor has agreed to mentor you and a project has been mutually confirmed, download and complete the project registration form, then submit it to DBMI. (Refer to the buttons on the right.)

The completed project form is to be submitted by 7 August 2026.

Team In Charge

Prof Ngiam

NGIAM KEE YUAN

Adjunct Professor
Head, Department of Biomedical Informatics
Dr Tay - Website

TAY KAI YI

Research Fellow
Course Coordinator Biomedical Informatics
William - Website

WILLIAM LEONG

Senior Manager, Curriculum
Course Administrator Biomedical Informatics
P1000206

Our Faculty

Learn more about and connect with our diverse and distinguished DBMI faculty members for potential internships, collaborations or guidance to kickstart and align your Capstone Project.

DBMI KV (1)

Master of Science in Biomedical Informatics

Department's key programme that equips industry leaders with core skills in machine learning, data visualisation and entrepreneurship to implement clinical innovations.

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Research Opportunities

Drive healthcare in AI innovation with us: Partner with top academics and researchers at NUS Medicine to shape the future of medicine in Singapore and beyond.