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.
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.