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Original research at the frontier of learning, causality and scale
Online only
The PhD in Data Science is a research doctorate for candidates who will advance methods or applications of data science under faculty supervision. Year 1 builds advanced statistical learning, causal inference, computational methods and research ethics; candidacy examination follows; subsequent years centre on original dissertation research contributing new knowledge. Research clusters include fairness-aware learning, causal ML for policy, large-scale inference and scientific machine learning.
Candidates with a AFU MSc Data Science or MSc Artificial Intelligence distinction may streamline coursework by agreement with supervisors. GPU compute and research seminar series support experimental work.
Faculty spotlight
Dr. Priya Sharma supervises causal ML; Dr. Yuki Tanaka leads computational and representation learning research groups.
Study online
Every programme can be completed fully online with zero tuition fees — study from anywhere in the world.
| Code | Course | Credits |
|---|---|---|
| PHDS701 | Advanced Statistical Learning Modern statistical learning theory and practice for research.
| 6 |
| PHDS702 | Causal Inference & Experimental Design Identification, experiments and quasi-experiments for research.
| 6 |
| PHDS703 | Scalable Data Systems & Computational Methods Systems and algorithms for large-scale research computation.
| 6 |
| PHDS704 | Doctoral Research Ethics & Scientific Writing Ethics, open science and publication craft for doctoral candidates.
| 6 |
| Code | Course | Credits |
|---|---|---|
| PHDS801 | PhD Candidacy Examination Comprehensive examination and proposal defence.
| 0 |
| PHDS802 | Doctoral Dissertation Research Original supervised research culminating in a defendable dissertation.
| 36 |
Recognised & Accredited
