Applying to Henley

We have an established PhD programme with c 130 students coming from around the world to work with Faculty members based in one of our six departments. If you are looking to undertake an Accounting, Finance, Management, Business Informatics, or Real Estate and Planning PhD, we aim to provide you with an outstanding research environment, conducive to the production of leading research and to the education of academics who will take up faculty positions in a range of universities and research roles in public and private institutions. The programme emphasises:

• Formal research training
• Flexibility to meet individual needs
• Student-staff interaction
• Timely completion of the degree.

As part of your personal development, you will also have the opportunity to contribute to teaching and research activities within the Business School and to engage in academic events held here and around the world (e.g. conferences, training, etc.).

The application process normally consists of three main steps:

1. Formal application

Before applying formally you may want to contact a potential supervisor who is working in your area and could be interested in your topic. Please avoid contacting multiple faculty members simultaneously. We do talk to each other and this is not seen as a professional practice. You can contact a faculty member before your formal application, if you wish to.

2. Shortlisting based on the documents you uploaded in your application

3. Formal interview to assess your suitability to pursue a PhD at Henley Business School.

The deadline to be considered for a scholarship varies between departments.

• Top grades in your Masters degree (minimum requirement is Merit or equivalent, but we prefer Distinction)
• Top grade in your Masters Dissertation (or equivalent research-based piece of work) because this may show your research attitude and skills
• A well-developed research proposal. Guidance on writing the research proposal can be found here.

A reasonable intended timeline reflecting issues you may encounter in the study as presented above (for example, if you have to collect primary data, the time spent on data collection will be much longer than the one you would spend if you intend to use secondary data sources).