Program Overview

Introduction to the Statistics and Machine Learning (EPSRC CDT) Program

The Statistics and Machine Learning (StatML) Centre for Doctoral Training (CDT) is a four-year DPhil research course that aims to train the next generation of researchers in statistics and machine learning. This program is co-hosted by the University of Oxford and Imperial College London.

About the Course

The StatML CDT is designed to provide students with training in both cutting-edge research methodologies and the development of business and transferable skills. The course will cover a range of topics, including modern statistical theory, statistical machine learning, causality, and Bayesian methods and computation.

Course Structure

The course is structured around two mini-projects in the first year, with the expectation that one of these projects may lead to the main research project. Students will also engage with taught courses, each lasting two weeks, and will have the opportunity to take optional courses throughout the four years of the course.

Research Areas

The StatML CDT offers a range of research areas, including:

• Theoretical to computational and applied aspects of statistics and machine learning
• Strong methodological/theoretical developments together with challenging real-world problems
• Co-supervised projects with industry partners

Entry Requirements

To be eligible for the StatML CDT, applicants should have:

• A first-class or strong upper second-class undergraduate degree with honors in mathematics, statistics, physics, computer science, engineering, or a closely related subject
• No Graduate Record Examination (GRE) or GMAT scores are required
• English language proficiency at the University's standard level

Degree-Level Qualifications

Applicants should hold or be predicted to achieve the following UK qualifications or their equivalent:

• A first-class or strong upper second-class undergraduate degree with honors in mathematics, statistics, physics, computer science, engineering, or a closely related subject

English Language Proficiency

This course requires proficiency in English at the University's standard level. If the first language is not English, applicants may need to provide evidence that they meet this requirement.

Funding and Costs

The majority of applicants who are offered a place on this course will also be offered a fully-funded scholarship specific to this course, covering course fees for the duration of their course and a living stipend.

Annual Course Fees

The fees for this course are charged on an annual basis:

• Full-time study: Ł10,470 (Home), Ł34,700 (Overseas)
• Part-time study: Ł5,235 (Home), Ł17,350 (Overseas)

Living Costs

In addition to course fees, applicants will need to ensure that they have adequate funds to support their living costs for the duration of their course. The estimated living costs for a single, full-time student are between Ł1,405 and Ł2,105 per month.

College Preference

Students enrolled on this course will belong to both a department/faculty and a college. Applicants can express a preference for one of the colleges listed or ask the University to find a college for them.

Full-Time Study

The following colleges accept students for full-time study on this course:

• Balliol College
• Brasenose College
• Corpus Christi College
• Exeter College
• Hertford College
• Jesus College
• Keble College
• Kellogg College
• Lady Margaret Hall
• Linacre College
• Mansfield College
• New College
• Reuben College
• St Anne's College
• St Catherine's College
• St Cross College
• St Edmund Hall
• St John's College
• Worcester College
• Wycliffe Hall

Part-Time Study

The following colleges accept students for part-time study on this course:

• Balliol College
• Corpus Christi College
• Exeter College
• Jesus College
• Keble College
• Kellogg College
• Lady Margaret Hall
• Linacre College
• Mansfield College
• New College
• Reuben College
• St Cross College
• St Edmund Hall
• Worcester College
• Wycliffe Hall

How to Apply

Applicants should refer to the University's Application Guide for advice on how to prepare and submit their application. The application form will include questions that collect information that would usually be included in a CV/résumé.

Proposed Field and Title of Research Project

Applicants do not need to specify a full research project as part of their application, but it is helpful to provide one or more research areas of interest.

Referees

Applicants must register three referees, who should provide academic references that support their intellectual ability, academic achievement, motivation, and ability to work in a group.

Official Transcript(s)

Applicants should upload official transcripts that give detailed information of the individual grades received in their university-level qualifications to date.

Statement of Purpose/Personal Statement

The statement should be written in English and should specify the broad areas in which the applicant's research interests lie. It should describe their academic and career plans, motivation, and scientific interests.

After You've Submitted Your Application

The application will be assessed against the entry requirements detailed on the course page. Applicants can find out more about the shortlisting and selection process in the University's detailed guide to what happens next.