★ Live · Self-Paced University
Self-Paced School of Data Science & AI
Four self-paced programmes built around datasets, notebooks, models, evaluation, MLOps and responsible AI.
★ LIVE — This self-paced school is live. Programme pages now link to full 15-week course activity pages with readings, case studies, simulation games, discussions, assessments, and final exams.
4bachelor programmes
Allprogrammes live
100unique course titles
~4 yrsrecommended · self-paced
Programmes
All programmes are 120 credit hours, share a common Foundation year and Data Science & AI Core, and diverge into a focused specialisation. Each ends with portfolio work and a Capstone project.
Five things that make this school different.
Shared backbone — Years 1 and 2
Every learner in every programme spends the first two years on the same Foundation and Data Science & AI Core. Specialisation begins in Year 3, with focused studio, portfolio and Capstone work in Year 4.
Year 1 — Foundation
Introduction to Data Science and AI · Academic Reading and Writing for Data Science and AI · Critical Thinking and Professional Reasoning · Digital Literacy for data and model work · Ethics, Society and Data Science and AI · History and Contemporary Issues in Data Science and AI · Quantitative Reasoning for Data Science and AI · Research and Information Evaluation for Data Science and AI · Communication and Presentation for data and model work · Professional Tools for Data Science and AI
Year 2 — Data Science & AI Core
Data Science Methods · Systems Thinking for Data Science and AI · Data, Evidence and Decision Making in Data Science and AI · Law, Policy and Regulation in Data Science and AI · Human Behaviour and Organizations in Data Science and AI · Project Studio in Data Science and AI · Analytics and Measurement for Data Science and AI · AI and Digital Transformation in Data Science and AI · Sustainability and Social Impact in Data Science and AI · Professional Practice in Data Science and AI
Start learning now
This school is live now. Choose any programme, then open its course pages for readings, case studies, simulation games, discussions, assessments, and final exams.