| Qualifications |
Duration |
Start dates |
Application period |
PhD
(MPhil also available) |
Full-time: 3–4 years
Part-time: 6–8 years |
February and October |
January to April |
Qualifications
PhD
(MPhil also available) |
Duration
Full-time: 3–4 years
Part-time: 6–8 years |
Start dates
February and October |
Application period
January to April |
The finance and accounting research is increasingly using modern textual analysis techniques for extracting valuable insights from vast repositories of unstructured data. This research topic seeks to explore the innovative intersection of textual analysis, machine learning, and large language models (LLMs) within the domains of finance and accounting. The primary objective is to harness advanced computational techniques to analyse financial documents, corporate disclosures, earnings reports, and social media content, thereby unveiling patterns, trends, and predictive indicators that remain obscured in traditional numerical data analyses.
Entry requirements
Minimum 2:1 undergraduate degree (or equivalent). If you are not a UK citizen, you may need to prove your .
Potential recent research projects
- ESG-linked CEO compensation analysis and the link to financial performance
- Sentiment analysis of financial news
- Automated fraud detection
- Topic modelling of company sustainability (ESG) reports and associated climate-related risks
Fees and funding
| UK fee |
International fee |
| Full-time: 拢4,786 per year |
Full-time: 拢12,146 per year |
| Part-time: 拢2,393 per year |
Part-time: 拢6,073 per year |
Some of our research students are funded via The Grand Union Doctoral Training Partnership or the Open-Oxford-Cambridge AHRC Doctoral Training Partnership; some are funded by University studentships; others are self-funded.
For detailed information about fees and funding, visit Fees and studentships.
To see current funded studentship vacancies across all research areas, see .
Links