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Financial Technology (FinTech) Distance Learning

MSc


Part-time

Duration

Start date

Location

Suitable for applications.

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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, 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.

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.

Research

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.