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 applications and limitations.
To this end, the learning, teaching, and assessment strategy for this programme have been developed to help you build your knowledge over the period of study to develop your research, critical thinking and writing skills. Due to the distance learning nature of the programme, the learning and teaching will be directed, supported, and reinforced through a combination of online lectures, recorded lectures, online tutorials, seminars, labs, and project supervision, as well as through personal research and directed and self-directed study.
The programme provides a consistent online layout for all modules, so you have a reliable ‘map’ and can understand how learning happens across the programme. Also, to create a sense of belonging, there will be a ‘programme page’ as well as module pages, which will be used to communicate to students as a cohort.
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.