DSA4262 Sense-making Case Analysis: Health and Medicine (2026)

Undergraduate Year 4 Course, National University of Singapore, Department of Statistics and Data Science, 2026

Overview and course materials for DSA4262 Sense-making Case Analysis: Health & Medicine in 2026 (AY2025/26 Semester 2).

Contents

Course synopsis

This course will give you the opportunity to apply your data science skills 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, relevant machine learning approaches including natural language processing, psychology and mental health, and product development frameworks. You will learn how to make 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 assignment will be focused on the timely topic of mental health. You will use your skills to (1) build a predictive model and (2) conceptualise and design a real-world solution on top of it in the style of a hackathon.

At the end of the course, you will have a better understanding of healthcare and careers in this industry, more hands-on experience with real-world problem statements, and a GitHub project to add to your portfolio. You will also get opportunities to network with healthcare leaders in Singapore through the guest lectures.

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:

Reading list

Essential readings and optional deep dives are maintained on a separate reading list page.