Statistics MSc

Find out more about our Statistics Master's degree at Warwick

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MSc

1 year full-time

29 September 2025

Statistics

University of Warwick

Available as an MSc, Warwick’s Statistics course aims to cover topics most relevant to a career as a professional statistician. Your training will open the way to employment in many sectors, including marketing, insurance, banking and pharmaceutical industry. It may also provide the pathway to a research degree (PhD).

From 2025/26, Warwick’s MSc in Statistics introduces an innovative structure, offering a choice between a broad Statistics MSc or specialised pathways in Data Science, Finance, and Probability. This modernised programme provides unparalleled flexibility, allowing students to tailor their learning to their ambitions through four distinctive options:

• MSc in Statistics
• MSc in Statistics with Data Science
• MSc in Statistics with Finance
• MSc in Statistics with Probability

The general MSc in Statistics offers a comprehensive foundation in statistical theory and applications, while the specialised routes allow you to focus on areas that align with your career or research aspirations:

• Data Science Pathway: Integrates statistical theory with cutting-edge applications in AI, machine learning, and health analytics.
• Finance Pathway: Combines rigorous statistical training with insights into modern financial systems and practical applications.
• Probability Pathway: Ideal for those with a passion for theoretical frameworks and their real-world applications.

For the nine-month period from end of September to June, you will be engaged in the taught component of the programme by attending a set of eight modules covering the core and optional modules as appropriate for each pathway.

After successfully completing the taught component worth 120 credits you will undertake a dissertation project, worth 60 credits, over summer under supervision of a member of staff. This final project offers the chance to apply knowledge to real-world challenges or delve into advanced research topics.

Class Size

Contact Hours

Assessment is initially made for each module separately: some modules have an element of continuous assessment through coursework, but the majority of modules are assessed through written examinations in January, May and June.

Your performance in the core and optional modules combined is then examined by an examinations board consisting of academic staff plus an External Examiner appointed from another university. Dissertations are examined in the Department and then by the External Examiner.

The MSc degree is awarded subject to satisfactory standard in the dissertation and taught modules. Students who do outstandingly well in both taught modules and the dissertation may be awarded the MSc with Distinction or Merit.

Reading lists 

Pre-reading: Those who are registered for the course will have online access to pre-reading material as part of the Refresher module that is offered in Welcome week.

If you would like to view reading lists for current or previous cohorts of students, most departments have reading lists available through Warwick Library on the Talis Aspire platformLink opens in a new window. 

You can search for reading lists by module title, code or convenor. Please see the modules tab of this page or the module catalogueLink opens in a new window.  

Please note that some reading lists may have restricted access or be unavailable at certain times of year due to not yet being published. If you cannot access the reading list for a particular module, please check again later or contact the module’s host department. 

Your timetable

Your personalised timetable will be complete when you are registered for all modules, compulsory and optional, and you have been allocated to your lectures, seminars and other small group classes.

2:1 undergraduate degree (or equivalent) in Statistics, Mathematics or a science with sufficiently high mathematical content.

• Band A
• No score lower than 6.0 in all IELTS fields with a total score of 6.5 minimum.

There are no additional entry requirements for this course.

Term 1

The programme then features different core modules depending on the chosen Pathway:

Term 2

Regardless of the chosen Pathway, all students can choose approximately a third of their modules from any of those offered on the MSc, with the remainder dependent on the chosen Pathway.

When Advanced Topics in Statistics and Probability module code is known this text can be used: This module provides an introduction to current topics through case studies in Statistics, Data Science, Finance and Probability, exploring potential research topics for your dissertation. Each two-week case study is led by an expert lecturer in the fields and will make use of lectures, presentation, practicals, summary and discussion as appropriate to the area.

Term 3

Optional modules