Knowledge and understanding
By the end of the programme, students will be able to:
- Demonstrate an advanced knowledge of key theoretical finance and economic concepts underpinning financial markets
- Critically compare, contrast and evaluate the different machine learning techniques in terms of their applicability to solving problems in finance, this can be demonstrated by students using appropriate software to apply techniques to a given set of data
- Have an in-depth understanding of the relationships existing among the key global financial systems; for example, how bond yields dictate investment in equity and its derivatives
- Conduct valuation of financial instruments and projects within relevant regulatory contexts
- Trade financial instruments on exchanges/trading platforms by using state-of-the-art software packages and harnessing the power of relevant real-time financial data
- Demonstrate an appreciation of the role played by policies in shaping financial services delivery and financial markets
- Critically evaluate markets by being able to competently present arguments on the criticisms of the current set up and offer the basis for the development of alternative technology-based markets and financial services products
- Demonstrate an appreciation of the social dimensions of technology use in financial markets
Graduate attributes
By the end of the programme, students will be able to:
- Demonstrate advanced numeracy and quantitative skills;
- Demonstrate authoritative and advanced knowledge of programming in a modern object-oriented programming language;
- Demonstrate the ability to develop and test research questions/hypotheses within finance either as part of a group or individually
- Identify relevant data and demonstrate relevant retrieval and modelling skills
- Demonstrate critical thinking skills and ingenuity required to identify and sustainably exploit opportunities arising from new and existing finance sector policy/regulatory initiatives
- Demonstrate the ability to evaluate assumptions and statements on the basis of data-driven evidence
- Engage with new ideas and be able to detect false logic by leveraging available resources
- Competently communicate and exchange ideas within different contexts and to audiences with varied compositions
- Present reasonable and data-supported argument in writing as well as orally
- Engage and work effectively within diverse groups
- Effectively manage time and workload demands within a dynamic and challenging work environment