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AI & Data Science • SED-05306
Machine Learning: Research Methods & Experimental Design — Undergraduate Foundation
Explore Machine Learning through data, algorithms and intelligent systems. This Undergraduate Foundation pathway uses structured learning and authentic scientific tasks to evaluate modelling, evaluation, responsible AI and real-world datasets, with a particular emphasis on research methods & experimental design.
SED HUB COURSE05306of 10,000
Course focus
What this pathway is designed to develop.
- Build accurate understanding of key Machine Learning concepts appropriate to the Undergraduate Foundation level.
- Apply scientific reasoning to structured questions, evidence and authentic scenarios.
- Develop confidence with the methods, terminology and data practices used in this area.
- Complete guided activities or project work aligned with research methods & experimental design.
Indicative pathway
1Orientation & core concepts
2Machine Learning knowledge building
3Research Methods & Experimental Design
4Evidence, analysis & application
5Review, project or next-step pathway
Applications open
Interested in this course?
Submit your details now. SED Hub will receive your application at [email protected] and can confirm the appropriate delivery, schedule and next step.