University of Greenwich, United Kingdom
Fintech is swiftly evolving into a well-established financial paradigm that merges finance and technology, giving rise to innovative services and a novel category of financial assets. This course aims to thoroughly evaluate the functionalities, advantages, and challenges associated with cryptoassets, including cryptocurrencies and tokens, along with traditional innovations like digital-only banks and payment systems. Students will gain insight into essential technical analysis methods prevalent in the fintech domain, such as machine learning and Python programming.
In the first year, students must enroll in the prescribed modules listed below.
1. Machine Learning in Financial Technology (15 credits)
2. Academic English for Postgraduates (Business)
3. Research Methods (15 credits)
4. Foundations of Scholarship (Department of Accounting) (15 credits)
5. Principles of Finance (30 credits)
6. Financial Engineering and Machine Learning (15 credits)
7. Financial Technology Banking (15 credits)
8. Financial Technology Exchanges (15 credits)
9. Introduction to Crypto assets (30 credits)
10. Financial Technology Final Project (30 credits)
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