DSA4262 Applied AI in Healthcare (2027)
Undergraduate Year 4 Course, National University of Singapore, Department of Statistics and Data Science, 2027
Overview and course materials for DSA4262 Applied AI in Healthcare in 2027 (AY2026/27 Semester 2). The course has been renamed to “Applied AI in Healthcare”. The entire DSA programme has been revamped and renamed to Data Science and Applied AI.
Contents
Course synopsis
This course (previously called “Sense-making Case Analysis: Health and Medicine”) will give you the opportunity to apply your data science skills and modern AI tools to real-world problems in healthcare. Through a series of technical workshops and (guest) lectures, we will cover the foundational knowledge required for this course. You will learn about the Singaporean healthcare system, healthcare datasets and their unique characteristics, and relevant AI approaches, from classical machine learning and natural language processing to large language models, retrieval-augmented generation, and agentic systems. You will also learn about psychology and mental health, product development frameworks, how to evaluate AI systems rigorously when errors carry real consequences for patients, and the ethical and regulatory considerations of deploying AI in healthcare. Throughout, you will practise making sense of real-world problems, facing ambiguous situations and formulating succinct hypotheses.
The course will be interactive and project-based, without a final exam. We will cover healthcare in general, but your group project will focus on the timely topic of mental health. You will choose from a set of guided problem tracks and use your skills to (1) build and evaluate predictive and AI models and (2) conceptualise and design a real-world solution on top of it in the style of a hackathon, which you will pitch to a panel of practitioners from Singapore’s healthcare and technology communities.
At the end of the course, you will have a better understanding of AI in healthcare and careers in this industry, hands-on experience building and evaluating AI systems on real-world problem statements, and a GitHub project to add to your portfolio. You will also get opportunities to network with healthcare and technology leaders in Singapore through the guest lectures and the final pitch.
Course content
Data visualisation workshop
You are free to choose your own datasets for the data visualisation assignment. This is a curated list of some datasets, just for your reference or inspiration:
Hackathon lab
We will use the following dataset for the predictive modelling hackathon lab:
Interested students may also join one of the currently ongoing Shared Task challenges:
There will also be an AI for mental health hackathon in early 2027, which students are encouraged to join.
Reading list
Essential readings and optional deep dives are maintained on a separate reading list page.