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Financial Technology (FinTech)


Start date

Suitable for applications.

Entry requirements

A 2:2 (or above) UK Honours degree, or an equivalent internationally recognised qualification, in any subject. Work experience is not required.

Applicants with non-degree qualifications will be considered where they have relevant work experience (minimum 3 years full-time), and will be assessed on an interview basis.

English language requirements

IELTS: 6.0 overall, with no sub-test less than 5.5.

If you do not meet the IELTS requirement, and you have a UKVI approved IELTS, you can take a University of Bradford pre-sessional English course. See the Language Centre for more details. For further information on English Language requirements please see the dedicated international entry requirements page.

Learning and assessment

The FinTech programme aims to integrate applied and theoretical knowledge with assessment processes that test both the knowledge of the discipline and understanding of its application and limitations. To this end, the learning, teaching, and assessment strategy for this programme have been developed to help the student build their knowledge over the period of study to develop their research, critical thinking and writing skills.

The learning will be directed, supported, and reinforced through a combination of lectures, tutorials, seminars, labs, project supervision, as well as through personal research and directed and self-directed study. These activities will all be further supported using a virtual learning environment (VLE). To facilitate learning, lectures will be grounded in active and collaborative learning and will typically utilise expertise from the School of Management faculty, industry experts, case studies and problem-solving exercises.

The nature of the collaborative activities varies, though typically students may be required to engage as a group, develop and discuss a case(s)/scenario and provide solutions based on sound analysis and logical arguments using information from varying sources. Students also will use the expertise of their peers and will gain the skills to lead start-ups and companies into the fintech revolution. Constructive feedback is provided by peers and the module leader/tutor during the teaching sessions. Tutorials will be in the format of discussion-based, problem-solving and/or review and Q&A sessions, with oral feedback given in class.

Lab sessions will complement formal lectures and tutorials and will be an opportunity for students to do some hands-on-system work and focus on developing and practising both coding analytics skills and coding-free analytics skills. Students will be guided to suitable primary and secondary (open access) data sources and be required to conduct research, analysis, and presentation exercises.

The assessment strategy on this programme is robust, adopting a range of assessment methods, thereby  aiming to be inclusive, and giving students the opportunity to play to their strengths while also developing areas of weakness. The skills and knowledge developed throughout the programme are formatively and summatively assessed by a mixture of written examinations, assessed coursework, group projects and [multimedia] presentations. Assessment is integrated with learning and teaching to support and demonstrate achievement of the learning outcomes for individual modules and the programme.

Study support

You'll be allocated a Personal Academic Tutor, who will provide you with personal guidance and support.

Module leaders and tutors will be accessible, providing office hours and appointments in order to support your learning beyond class contact.

The Effective Learning Service (ELS) is a dedicated facility within the Faculty of Management, Law and Social Sciences, established to support our students to maximise their academic learning (e.g assignments and examinations), as well as help overseas students adapt quickly to UK academic requirements.

The ELS provides a huge range of services, including various workshops run during term time, 1-1 consultations and vast printed and online resources to cater for every possible development area.

These are in addition to the wide range of student support that is offered by the University of Bradford at City Campus.


The programme will be part of the Accounting, Finance and Economics (AFE) research centre at the School of Management. The centre brings together enthusiastic and ambitious academics, who will also deliver this programme. 

The programme will also have mutual modules with the Logistics, Data Analytics and Supply Chain Management research centre, such as machine learning and big data analytics.

This is the current course information. Modules and course details may change, subject to the University's programme approval, monitoring and review procedures. The University reserves the right to alter or withdraw courses, services and facilities as described on our website without notice and to amend Ordinances, Regulations, fees and charges at any time. Students should enquire as to the up-to-date position when applying for their course of study.