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What makes the course unique?

Deep dive into the digital wave sweeping across the finance industry fueled by emerging technologies such as A.I.

Hear insights from global speakers, collaborate and compete in assignments with a panel of regulator and industry leaders.

First industry-led course for AI in Finance

Our mission is to provide our learners with the tools and the knowledge to embrace the AI revolution in finance.   For this reason, we created a reference course with the industry for the industry.   Participants will be given a comprehensive overview on the most relevant trends through a very structured curriculum.

Learn from global thought leaders

Participants will learn from industry leaders who work at the largest financial institutions, fast growing startups, investors and regulators.

Those le
aders share their experience and in-depth knowledge through the course, and give a unique insights on the use of AI in finance in the US, Europe and Asia.​​​​

Understand all sides of AI

The course gives an overview of the potential and challenges of AI in finance, from insights of entrepreneurs who are developing AI to leaders implementing AI in financial institutions.​

From the technology to the role of people and the importance of ethics, participants will understand AI in a balanced structured way

Who should take
this course?

This course is for those who want to understand how AI is ​transforming finance, and be part of this new industry. Finance professionals, but also​ technologists, entrepreneurs, consultants or academics will benefit from the knowledge imparted by the course. As AI is permeating all sectors of finance, anybody in finance, or interested by the industry, could learn from the course.

There are no pre-requisite to take the course. However those who already have an understanding of Fintech would benefit more.


Trainer Profiles

Dr.Winnie Cheng (New York)

Chief Data Scientist

Co-Founder, CTO & Chief Data Scientist

Ramneek Gupta (San Francisco)

Co-head, Global Venture Investing
Citi Ventures

Jean-Philippe Desbiolles (Paris)

Vice President, Cognitive Solutions & Global Partner
IBM Watson Group

Jon-Tzen Ng (Shanghai)

Chief Strategy & Innovation Officer
Ping An Technology

Dr. Jason Mars (Ann Arbor)

Co-Founder & CEO

University of Michigan




The online course if composed of video lectures taught by the Senior Lecturers, readings that complement the topics addressed in the lectures, and video interviews from Industry experts to illustrate specific points raised by the lecturers.

Chapter #1 An Industry Overview of AI
  • ​Module 1: Introduction to Artificial Intelligence
  • Module 2: Use   ​ cases of AI outside of Finance
  • Module 3: Use cases of AI in Finance
  • Module 4: Industry drivers of AI in Finance​

Chapter #2 AI Technologies
  • Module 5: AI, Machine Learning and Deep Learning
  • Module 6: Natural Language Processing
  • Module 7: Computer Vision and Machine Recognition
  • Module 8: Recommendation Engine

Chapter #3 Implementing AI in an Enterprise
  • Module 9: Integration AI at a Strategic Level
  • Module 10: Infrastructure for AI
  • Module 11: The Role of People
  • Module 12: Ethics in AI

Chapter #4 Applications of AI in Finance​
  • Module 13: Wealth and Asset Management
  • Module 14: Insurance
  • Module 15: Customer Service
  • Module 16: Robotic Process Automation
  • Module 17: Credit Scoring
  • Module 18: Compliance and Fraud Detection

Click ​to learn more!

Course Information

Application Period​
08 Jan 2021 - 04 Feb 2021 ​
Course Date​
22 Feb 2021​
Assessment / Award
The online course is composed of video lectures taught by the Senior Le​cturers, readings that complement the topics addressed in the lect​ures, and video interviews from Industry experts to illustrate specific points raised by the lecturers. This course is self-paced and can be completed anytime before the end of the course duration.

Each of the 18 modules is ended by an Assessment Quiz to verify the understanding of the topic – a successful completion of the 18 quizzes leads to a Certificate of Completion of “Artificial Intelligence in Finance”. Each module also benefits from its online discussion forum, where participants can share, comment and exchange ideas on discussed topics.

The course duration is estimated to be between 10 - 12 hours.

Course Fees
Singapore Citizens & PRs (​who are working adults): $288.90
SC Aged 40 and Above: $108.90
SC & PR Sponsored by SME (Promo code: SME): $108.90

Full course fee: $963.00

Course fee is payable upon acceptance. It is inclusive of 7% GST and subject to review.

For more information on other subsidies, please click here.

Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.​

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