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Compulsory double unit: SB1.1 applied statistics and SB1.2 computational statistics.

Official course description.

Introductory week followed by core courses: stochastic calculus; financial derivatives; numerical methods; statistics and financial data analysis; financial computing with C++ in each of the first two terms; deep learning; quantitative risk management; stochastic control; fixed income. Four electives complete the taught programme. Third-term dissertation, potentially prepared in connection with an industry internship.

Official course description.

Six to eight taught units from the Part C mathematics and statistics menus. Shared branches include Category theory course of the University of Oxford, Algebraic topology course of the University of Oxford, model theory and elliptic curves. Current departmental catalogue. Compulsory dissertation worth two units.

The Oxford Internet Institute's taught programme combines machine learning and statistics with social research.^[ref]

Included for its quantitative statistics and computational components. The downloaded examination release also includes associated social-science papers.^[ref]

Official course description.

Five core modules: applied statistics; foundations of statistical inference; statistical programming; computational statistics; statistical machine learning. Four option units are also required. The central page labels its option examples as 2025–26, so they are not presented here as a guaranteed current list. Compulsory dissertation, with the main work taking place from June to September.

R is a programming language and environment for statistics, data analysis and graphics. For matrix algorithms, drop = FALSE preserves dimensions when extracting submatrices. To choose an element uniformly from a possibly singleton numeric vector indices, use indices[sample.int(length(indices), 1L)]: sample(indices, 1L) has a special interpretation when its first argument is a single positive number. Official documentation: Extraction and the drop argument and Sampling, including the singleton numeric argument rule.

Students take three introductory subjects from the published list, including Probability theory and statistics. The branches represent the available subjects, not five compulsory modules.

Students take three introductory subjects. Probability theory and statistics is required to continue with Psychology after the first year.

SB1 applied and computational statistics is compulsory; students must also take at least two units from SB2 and SB3.

Statistics options and a compulsory statistics-project dissertation, with mathematics options available under the course rules.