Big Data And Fintech (Module From Postgraduate Diploma In Investment Management And Financial Intelligence) - School Of Professional And Continuing Education, Hku
課程名稱: |
Big Data And Fintech (Module From Postgraduate Diploma In Investment Management And Financial Intelligence) - School Of Professional And Continuing Education, Hku |
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院校名稱: |
香港大學專業進修學院 |
課程編號: |
33Z10771A |
範疇: |
商業及管理 |
上課模式: |
30 HOURS (PT) |
為期: |
5 WEEKS |
學費: |
8,000.00 |
入學要求: |
Applicants Shall Hold A Bachelor’S Degree Awarded By A Recognised Institution. If The Degree Or Equivalent Qualification Is From An Institution Where The Language Of Teaching And Assessment Is Not English, Applicants Shall Provide Evidence Of English Proficiency, Such As: I. An Overall Band Of 6.0 Or Above With No Subtests Lower Than 5.5 In The Ielts; Or Ii. A Score Of 550 Or Above In The Paper-Based Toefl, Or A Score Of 213 Or Above In The Computer-Based Toefl, Or A Score Of 80 Or Above In The Internet-Based Toefl; Or Iii. Hkale Use Of English At Grade E Or Above; Or Iv. Hkdse Examination English Language At Level 3 Or Above; Or V. Equivalent Qualifications. Applicants With Other Qualifications Will Be Considered On Individual Merit. Examples Of Equivalent Qualifications: Finance, Accounting, Economics, Mathematics, Statistics Or Engineering |
課程大綱: |
1. Understanding Big Data (6 Hours) A. What Is Big Data (2 Hours) B. Big Data Processing Chain (1 Hour) C. Defining Big Data – Volume; Velocity; Variety; Variability And Veracity (1 Hour) D. Big Data Landscape (1 Hour) E. Business And Financial Applications Of Big Data (1 Hour) 2. Applications Of Fintech (15 Hours) A. Fintech And Related Ecosystem (1 Hour) B. Regulatory Frameworks For Fintech (2 Hours) C. Distributed-Ledger Technology, Blockchain And Security (2 Hours) D. Decentralized Digital Currencies (Cryptocurrencies) (2 Hours) E. Payment And Transaction (2 Hours) F. Robo-Advisor In Wealth Management (2 Hours) G. Fintech Product Development And Digital Banking (2 Hours) H. Smart Contracts (2 Hours) 3. Issues Of Big Data And Fintech (9 Hours) A. Business And Technology Implications Of Big Data (2 Hour) B. Management And Storage Of Big Data – Cloud Storage (1 Hour) C. Ethical Issues, Privacy Protection And Governance (2 Hours) D. Peer Lending And Crowdfunding (2 Hours) E. Business Challenges In Fintech And Big Data Opportunities In Financial Services And Banking (2 Hours) |
資歷名冊登記號碼: |
17/001054/L6 |
資歷架構級別: |
6 |