The MSc in Financial Technology program is specifically designed to equip you with the necessary skills and knowledge for a career in banking and finance, with a particular focus on technology and data management. In addition to core financial concepts, the curriculum covers cutting-edge topics such as artificial intelligence (AI), blockchain, and big data analysis.
With expertise in various areas of finance, including regulation, risk analysis, and securities, the program integrates systems architecture, software development, and data management. The content and teaching methods are designed to help you develop the essential skills and knowledge required to thrive in the evolving banking and finance industry.
Technological advancements have significantly transformed financial operations, products, and services. These include credit provision through peer-to-peer lending and crowdfunding, blockchain-based payment systems, algorithmic trading, and robo-advisory services for personal finance. These innovations rely on secure communication systems and the processing of large volumes of data using machine learning algorithms.
The modules offered in this course provide insights into the changing landscape of financial technologies, their impact on regulations, financial risk analysis, emerging trends in different financial sectors, and the challenges and opportunities they present. Simultaneously, the program emphasizes the development of skills in software development, artificial intelligence, data visualization, and ethics, enabling you to apply them to solve real-world financial problems.
The entry requirements provided are intended as a general guideline and represent the minimum criteria for consideration. Applicants who receive a conditional offer may be required to meet additional criteria beyond the stated requirements. Minimum Academic Requirements: A minimum of a 2:2 UK honours degree (or its equivalent) is required in a relevant computing subject or in a finance subject with a suitable mathematics or computing component. English Language Requirements: To meet the English language proficiency criteria, applicants must achieve a minimum academic IELTS score of 6.0 (or an equivalent score) with no individual element below 5.5.
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