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FinTech Technologies

Master advanced technologies in finance like AI, ML, blockchain, and cybersecurity in this course for professionals exploring the FinTech landscape.

Master advanced technologies in finance like AI, ML, blockchain, and cybersecurity in this course for professionals exploring the FinTech landscape.

FinTech Technologies is a comprehensive course exploring cutting-edge technologies revolutionizing the financial sector. This course takes a layman's approach to explaining six advanced technologies driving transformation in finance today: artificial intelligence, machine learning, natural language processing, big data analytics, blockchain, and distributed ledger technology. You'll discover practical applications in insurtech, robo-advisory, intelligent transport monitoring, green finance, banking, and DeFi. The course also covers Central Bank Digital Currencies (CBDCs), cybersecurity, and the vital roles of RegTech and SupTech in strengthening compliance and enhancing operational efficiency in financial institutions. Perfect for professionals seeking to understand how technology is reshaping finance without requiring technical expertise.

Instructors:

English

English

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FinTech Technologies

This course includes

4 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

8,517

Audit For Free

What you'll learn

  • Identify and describe the key driving technologies of FinTech

  • Understand the fundamentals of AI and Machine Learning in financial applications

  • Articulate how AI, ML, NLP, and big data analytics are applied in everyday financial scenarios

  • Comprehend blockchain and distributed ledger technology applications in banking and digital finance

  • Evaluate the importance of data privacy and cybersecurity in financial technology

  • Recognize the critical role of RegTech in the evolving FinTech ecosystem

Skills you'll gain

Artificial Intelligence
Banking
Big Data
Big Data Analytics
Blockchain
Cyber Security
Digital Currency
Distributed Ledgers
Finance
Financial Technology (FinTech)
Machine Learning
Natural Language Processing

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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Module Description

FinTech Technologies covers six transformative technologies reshaping finance from a non-technical perspective. The course explores artificial intelligence and machine learning applications in insurance, investment advisory, transportation monitoring, and green finance initiatives. Students learn about blockchain and distributed ledger technology used in banking and decentralized finance. The curriculum includes analysis of Central Bank Digital Currencies and their implications, cybersecurity practices essential for financial institutions, and the growing importance of Regulatory Technology (RegTech) and Supervisory Technology (SupTech) in maintaining compliance and operational efficiency. Throughout the course, real-world applications demonstrate how these technologies are creating new opportunities and challenges for financial institutions, tech companies, and regulatory bodies.

Fee Structure

Payment options

Financial Aid

Instructor

Siu Ming Yiu
Siu Ming Yiu

10 Courses

Professor and Deputy Head of the Department of Computer Science at University of Hong Kong

Prof S.M. Yiu is Professor and Deputy Head of the Department of Computer Science at HKU, and Executive Director of the HKU-SCF FinTech Academy. He has published 300+ research papers in refereed journals

FinTech Technologies

This course includes

4 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

8,517

Audit For Free

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.