REGRESSION MODELS (LEVEL M)
University of Glasgow · Scotland · STATS5025
REGRESSION MODELS (LEVEL M) is a subject at University of Glasgow, Scotland in STATS. It covers topics like econometrics, machine-learning, modelling, risk-modelling. It is part of 1 degree. The information below is compiled from public course material — approximate, not official.
University of Glasgow
STATS5025
3.00
STATS
Topics covered
Degrees that include REGRESSION MODELS (LEVEL M)
Frequently asked questions
What is REGRESSION MODELS (LEVEL M) about?
REGRESSION MODELS (LEVEL M) covers topics like econometrics, machine-learning, modelling, risk-modelling.
Which degrees include REGRESSION MODELS (LEVEL M)?
REGRESSION MODELS (LEVEL M) is part of 1 degree, including Data Analytics [MSc].
How many credit points is REGRESSION MODELS (LEVEL M)?
REGRESSION MODELS (LEVEL M) at University of Glasgow is typically around 3.00 credit points. Approximate — confirm with the university.
Where is REGRESSION MODELS (LEVEL M) taught?
REGRESSION MODELS (LEVEL M) is taught at University of Glasgow, Scotland.
Studying REGRESSION MODELS (LEVEL M)?
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: University of Glasgow 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.