*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Addresses the topics of probability, random variables, discrete and continuous densities, expectation and variance, special distributions (binomial, Poisson, normal, etc.), moment generating functions ...

An introduction to the fundamental ideas in probability important for data scientists and statisticians. The core concepts of combinatorics, expectation, variance ...

Due to high demand for this course, we operate a staged admissions process with multiple selection deadlines throughout the year, to maintain a fair and transparent approach. Explore our campus, meet ...

The Doctor of Philosophy in Statistics is designed to prepare students for careers in teaching and research universities, in industry, or in government. It is expected that students, through courses ...

This course is available on the MSc in Quantitative Methods for Risk Management. This course is available with permission as an outside option to students on other programmes where regulations permit.

We are not currently accepting applications for this course. Register your interest below to be notified when applications open again. This is an introductory course on statistics and how it can help ...

Opt to spend a full year on a work placement. Our students have secured placements with a range of organisations, including Intel, the Met Office, HSBC, Deloitte, Morgan Stanley, and the Civil Service ...

Statistics for Business An introduction to the presentation, analysis and interpretation of quantitative data. Topics include the construction of charts and summary statistics, probability, sampling, ...

Discover if Manchester is right for you with an online or in-person meeting. This flexible single-honours undergraduate Master's degree programme is for you if you expect to use statistics in your ...