Elementary Statistical Theory
London School of Economics and Political Science · England · ST102
Elementary Statistical Theory is a subject at London School of Economics and Political Science, England in ST. It covers topics like applied-statistics, mathematical-economics, statistical-computing, statistical-learning. It is part of 13 degrees. The information below is compiled from public course material — approximate, not official.
London School of Economics and Political Science
ST102
3.00
ST
Topics covered
Degrees that include Elementary Statistical Theory
- BSc Actuarial Science
- BSc Actuarial Science (with a Placement Year)
- BSc Data Science
- BSc Economics and Data Science
- BSc Finance
- BSc Financial Mathematics and Statistics
- BSc Mathematics and Economics
- BSc Mathematics, Statistics and Business
- BSc Mathematics with Data Science
- BSc Mathematics with Economics
- BSc Philosophy and Economics
- BSc Philosophy, Politics and Economics
- Visiting Research Student in Statistics
Frequently asked questions
What is Elementary Statistical Theory about?
Elementary Statistical Theory covers topics like applied-statistics, mathematical-economics, statistical-computing, statistical-learning.
Which degrees include Elementary Statistical Theory?
Elementary Statistical Theory is part of 13 degrees, including BSc Actuarial Science, BSc Actuarial Science (with a Placement Year), BSc Data Science, BSc Economics and Data Science, BSc Finance.
How many credit points is Elementary Statistical Theory?
Elementary Statistical Theory at London School of Economics and Political Science is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Elementary Statistical Theory taught?
Elementary Statistical Theory is taught at London School of Economics and Political Science, England.
Studying Elementary Statistical Theory?
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Sources: London School of Economics and Political Science public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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