Course modules
At 51Âþ», students will enjoy an innovative approach to learning, known as Block Teaching. This allows you to focus on one subject at a time instead of several at once and a better study-life balance.
Block 1: Finance and Fintech Innovations
This module provides a comprehensive understanding of the essential theories and principles of corporate finance, contextualised through real-world scenarios. You will critically analyse the transformative impact of financial technology on traditional corporate finance functions. The course also covers the evaluation of emerging fintech innovations and their implications for strategic decision-making. Furthermore, you will develop the ability to integrate fintech solutions to enhance financial performance and optimise capital allocation, equipping them with the skills needed for modern financial management.
Block 2: Risk, Ethics and RegTech
This module provides a thorough exploration of risk, ethics, and regulations in the fintech sector. Students gain a critical understanding of operational, financial, cyber, and compliance risks, learning to apply risk management frameworks effectively. They develop skills to communicate risk strategies and regulatory compliance to various stakeholders. Ethical implications of fintech, including privacy and fairness, are analysed alongside global regulatory frameworks. Real-world case studies help students formulate strategies to address regulatory challenges and design ethical fintech solutions.
Block 3: Blockchain, Artificial Intelligence and Cybersecurity
This module explores cutting-edge finance technologies like blockchain and artificial intelligence (AI), offering theoretical insights and practical skills for their implementation in financial services. It also includes a comprehensive examination of cybersecurity measures essential for safeguarding financial systems against evolving threats in the digital age.
Block 4: Big Data Analytics
This module provides an in-depth exploration of big data analytics and machine learning within the context of financial technology (FinTech). It offers you the opportunity to understand the fundamental principles, tools, and techniques used in analysing large volumes of financial data to derive meaningful insights and support decision-making processes in the FinTech industry. The module covers various aspects of big data analytics and machine learning, including data collection, storage, processing, analysis, visualization, and interpretation, with a focus on their applications and implications in FinTech innovation and development.
Block 5: FinTech Research Project
The FinTech Research Project module provides you with the opportunity to apply their academic knowledge and analytical skills to a rigorous investigation of a real-world problem or issue within the financial technology sector. This module emphasises practical application and critical thinking, allowing you to engage deeply with current challenges and issues in fintech.
Note: All modules are indicative and based on the current academic session. Course information is correct at the time of publication and is subject to review. Exact modules may, therefore, vary for your intake in order to keep content current. If there are changes to your course we will, where reasonable, take steps to inform you as appropriate.