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Foundation Fortnight
University College London (UCL)London, United Kingdom
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Program Details
- Degree
- Foundation
- Major
- Applied Statistics | Statistics
- Area of study
- Mathematics and Statistics
- Course Language
- English
Program Overview
Foundation Fortnight (STAT0027)
Key Information
- Faculty: Faculty of Mathematical and Physical Sciences
- Teaching department: Statistical Science
- Credit value: 0
- Restrictions: This module is only available to students registered on taught postgraduate degree programmes offered by the Department of Statistical Science, or jointly with other departments.
Alternative Credit Options
There are no alternative credit options available for this module.
Description
This (non-credit bearing) module aims to review the prerequisite undergraduate material assumed for the further study of statistics in the taught postgraduate degree programmes offered by the Department of Statistical Science, or jointly with other departments. Students will review and complete exercises on basic probability theory, statistical estimation and hypothesis testing, practical statistics and associated computing.
Indicative Content
- Introduction to probability, random variables, distributions, expectation, and stochastic processes.
- Introduction to estimation, descriptive statistics, hypothesis testing, categorical data, linear regression, Bayesian statistics, machine learning, and R.
Key Texts
Available from ReadingLists@UCL.
Module Deliveries for 2026/27 Academic Year
Intended Teaching Term: Term 1
- Postgraduate (FHEQ Level 7)
Teaching and Assessment
Mode of Study
- In person
Methods of Assessment
- 100% Other form of assessment
Mark Scheme
- Pass/Fail
Other Information
- Number of students on module in previous year: 78
- Module leader: Dr Javier Rubio Alvarez
Last Updated
This module description was last updated on 10th March 2026.
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