Statistics and Machine Learning University of Oxford

Overview

The Statistics and Machine Learning programme offered by University of Oxford aims to train students to develop widely-applicable novel methodology and theory and create application-specific methods that will lead to breakthroughs in real-world problems in government, medicine, industry and science.

The course will provide you with training in both cutting-edge research methodologies and the development of business and transferable skills – essential elements required by employers in industry and business.

Features

Given the breadth and depth of the research teams at Imperial College and the University of Oxford, the proposed projects will range from theoretical to computational and applied aspects of statistics and machine learning, with a large number of projects involving strong methodological/theoretical developments together with challenging real-world problems. A significant number of projects will be co-supervised with industry.

You will pursue two mini-projects during your first year (specific timings may vary for part-time students), with the expectation that one of them might lead to your main research project. Alongside your research projects you will engage with taught courses each lasting for two weeks. Core topics will be taught in the first six months of your first year (specific timings may vary for part-time students).