国际学生入学条件
A level 8 degree (2.2 award) or its equivalent in one or more of the following domains: computer science, finance, business, or economics. Cognate disciplines will also be considered. Note that applicants lacking both a clear financial and technology component may still be eligible but are subject to review.
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IDP—雅思考试联合主办方

雅思考试总分
6.0
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雅思考试指南
- 雅思总分:6
- 托福网考总分:60
- 托福笔试总分:160
- 其他语言考试:PTE Academic - 50 overall (no component less than 40)
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
金融
MSc in Fintech programme was designed to endow learners with the essential skills in Financial Technologies covering a variety of topics from both business and technical domains. Learners will be familiarised with (i) the technical landscape of fintech domains, such as, classical, advanced, and state-of-the-art financial techniques and analytics methods including their theoretical foundations and mathematical underpinnings, and (ii) the deep understanding of impacts, design, application, and operationalisation of fintech solutions in business contexts.NCI is perfectly placed to deliver an industry-focused programme inspired by its location at the heart of the International Financial Services Centre. The course is completely delivered by faculty and industry practitioners with established experience in the fintech domain.This course typically appeals to those who possess a level 8 qualification in any discipline and wish to transfer to a career in fintech.Note that the course is technical in nature and entails a significant amount of independent study. Given the content and the timescale learners need to have a strong commitment to the course and a willingness to fully engage with the technical content.This interdisciplinary course will appeal to graduates of finance, computing and business seeking to enter the area of fintech; and industry practitioners seeking to gain insightful experience and exposure to the principles of fintech, as well as data analytics and emerging technologies. Specifically, learners would have opportunity to choose between two learning paths: programming learning path and non-programming learning path. In addition to the core modules, the programming learning path will offer subjects such as Machine Learning for Finance and Programming for Financial Data Science, while the non-programming learning path will offer modules such as Entrepreneurship and Innovation in Fintech, and Leadership, Organisation Culture and Human Factors in Fintech.
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