During their studies, students will develop in-depth knowledge about relevant theories, models, and frameworks, and use these to develop complex technological solutions to real-world challenges.
- Develop a critical understanding of relevant tools and techniques required for their research and give students the confidence to use such tools and techniques in a variety of real-world contexts.
- Build students' knowledge and understanding of techniques relevant to the finance sector.
- Develop active learning and transferable skills (such as study skills, information retrieval skills, information technology skills, communication skills, group work skills).
Training and development
Our PhD in Financial Technology students work closely with their supervisory team, and are offered top-level training opportunities throughout their studies.
Research towards a doctorate is underpinned and supported by our doctoral training programme. A large number of seminars and workshops delivered by eminent experts from around the world will be available throughout the year, providing ample opportunity for advanced learning and networking.
Depending on your project, you will also undertake 40–60 credits worth of taught courses during your first year to build your research skills and the knowledge required for your area of study.
You will be guided by your supervisors and the Research Support Office on which courses are most appropriate, and how to join.
|Course Code||Course Name||Semester||Credits|
|CMSE11494||Introduction to Research in Business||1||20|
|Recommended optional courses|
|PGSP11110||Analysing Qualitative Data||2||20|
|CMSE11389||Applications of Econometrics||2||20|
|SCIL11009||Core Quantitative Data Analysis 1 and 2||1||20|
|PGSP11017||Explanation and Understanding in Social and Political Research||2||20|
|CMSE11388||Foundations of Econometrics||1||20|
|PGSP11321||Intermediate Inferential Statistics: Testing and Modelling||2||20|
|PGSP11188||Qualitative Methods and Ethnographic Fieldwork||2||20|
|PGSP11016||Research Skills in the Social Sciences: Data Collection||1||20|
|BUST11231||Supervised Reading: Literature Review||2||20|
|CMSE11442||Supervised Reading: Refining the Proposal||1||20|
|PGSP11302||The Documents of Life||2||20|
|CMSE11524||Quantitative Methods for Business Scholars||2||20|
Full programme details can be found on the University degree programme tables website.