Turn data into decisions — statistics, machine learning systems and large-scale analytics.
Data Science blends statistics, machine learning and engineering. Students learn to model uncertainty, build data pipelines and extract insight from data at scale.
The emphasis is on rigor and reproducibility — science, not guesswork.
Admissions →Statistical modeling and inference.
View department →Pipelines, warehouses and large-scale processing.
View department →Productionizing machine learning at scale.
View department →Communicating data and supporting decisions.
View department →Data Science is broader on statistics and analytics; AI goes deeper on models. They overlap and share early courses.
Yes — you'll work in Python and SQL, and learn the engineering to handle real, messy data.
The Decision Science track connects analysis to real decisions and stakeholders.
Applications for the 2026 intake are open. Scholarships available for international students.