Foundations: Data & Science of Learning
The University of Melbourne · VIC · EDUC91318
Foundations: Data & Science of Learning is a subject at The University of Melbourne, VIC in Faculty of Education. It covers topics like data-science, education, learning-theory. It is part of 2 degrees. The information below is compiled from public course material — approximate, not official.
The University of Melbourne
EDUC91318
12.50
Faculty of Education
Topics covered
Degrees that include Foundations: Data & Science of Learning
Frequently asked questions
What is Foundations: Data & Science of Learning about?
Foundations: Data & Science of Learning covers topics like data-science, education, learning-theory.
Which degrees include Foundations: Data & Science of Learning?
Foundations: Data & Science of Learning is part of 2 degrees, including Master of Modern Languages Education, Master of TESOL.
How many credit points is Foundations: Data & Science of Learning?
Foundations: Data & Science of Learning at The University of Melbourne is typically around 12.50 credit points. Approximate — confirm with the university.
Where is Foundations: Data & Science of Learning taught?
Foundations: Data & Science of Learning is taught at The University of Melbourne, VIC.
Studying Foundations: Data & Science of Learning?
Peernovo helps students research, choose and thrive at university — across Australia, the US, the UK and Canada — powered by our AI backbone:
- Explore & compare degrees — across universities and countries with honest, specific information.
- "What Can I Be?" career guidance — an AI pathway councillor that maps degrees to careers.
- See who's studying — your degree at your university — find classmates and study groups.
- AI Task Coach — a Socratic study companion that plans your work around your life.
- Honours & Thesis Research Coach — structure and move your research project forward.
- Smart study planner, exam prep and a daily digest — to keep you on track.
Sources: The University of Melbourne public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
Something not right on this page, or want it changed? Let us know and we'll review it.