Find out more about the learning outcomes for the PhD in Financial Technology, and the training and development courses available to you as a student.

Learning outcomes

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.

Students will:

  • 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
CMSE11312 Qualitative Research 2 20
PGSP11208 Research Design 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.

PhD in Financial Technology degree programme table