Registration closes on 20 August 2024. Limited slots available.
Who is this course for?
Working professionals with roles in finance like financial analysts, executives, traders, portfolio managers or quantitative analysts.
Individuals looking to embark on an exciting journey towards the dynamic and rapidly expanding FinTech space.
Course Highlights
Gain foundational knowledge on the interaction between traditional financial markets and the burgeoning field of alternative data.
Learn how machine learning models are revolutionizing financial forecasting, risk management, and market valuation.
Practical sessions on leveraging large language models (LLMs) and alternative data sources for strategic financial decision-making.
Explore the future landscape of finance, focusing on sustainable finance, data governance, and emerging opportunities in the monetization of alternative data.
Note: Participants who have completed both “Finance with Python” and “Investing using Machine Learning and Alternative Data” will be awarded the “NUS Professional Certificate in Investing using Machine Learning and Alternative Data”.
Course Details
Utilize machine learning techniques to improve financial forecasting accuracy.
Understand the basics of financial markets and the role of alternative data in modern finance.
Learn about integrating sustainability into financial decision-making with alternative data
Explore the importance of data governance, privacy, and security in the financial industry.
Course Fees
Course Fees (before SSG Funding): SGD 5,722.50
SkillsFuture Code: TGS-2021004426
This programme is eligible for subsidies under SkillsFuture Singapore (SSG). Singaporeans and Permanent Residents can enjoy subsidies up to 90%.
| Singapore Citizens & Permanent Residents aged 21 and above |
Singapore Citizens aged 40 years and above | International Participants | |
| Self-sponsored | SGD 1,716.75¹ | SGD 666.75² | SGD 5,722.50 |
| SME Company-sponsored | SGD 666.75² | SGD 666.75² | SGD 5,722.50 |
| Non-SME Company Sponsored | SGD 1,716.75¹ | SGD 666.75² | SGD 5,722.50 |
All fees stated above are net fees payable and include 9% GST. All Singaporeans aged 25 years old and above are eligible to claim their SkillsFuture Credits to further offset the net fees payable.
¹Up to 70% course fee funding
²Up to 90% course fee funding under MCES or ETSS
Course Outline
Course Instructors
Prof. Huang Ke-Wei
Executive Director, AIDF
Dr. Ke-Wei Huang is the executive director of Asian Institute of Digital Finance and an Associate Professor in the Department of Information Systems and Analytics at the National University of Singapore (NUS). Dr. Huang joined NUS in July 2007. He received his Ph.D. (2007), M.Phil. (2005), and M.Sc. (2002) degrees in Information Systems from the Stern School of Business at New York University, and his M.B.A. in Finance (1997) and B.Sc. in Electrical Engineering (1995) from National Taiwan University.
Dr Yen Teik LEE
NUS Business School
Lee Yen Teik is a Senior Lecturer at NUS Business School. He is a teacher, researcher, and mentor in corporate and digital finance. Before joining NUS, Yen Teik was an Assistant Professor of Finance at the Asia School of Business and Shanghai University of Finance and Economics (SUFE), a Senior Lecturer at Curtin Singapore, and a visiting scholar at both New York University Stern School of Business and Cambridge Judge Business School. He is the recipient of the NUS Business School Teaching Excellence Award 2023, the SUFE Excellent Teachers Award 2015, and Society of Financial Studies Finance Cavalcade Best Paper in Corporate Finance Award 2013. His works have been featured on Kellogg Insight, BBC World Service, The Economist (blog), and The Columbia Law School (Blue Sky Blog), as well as published in the Journal of Corporate Finance, Journal of Accounting and Public Policy, and Journal of Management Studies, among others. Yen Teik received his PhD in Business (Finance) from Singapore Management University.
Dr Jinghao KE
CEO, JCube Institute
Dr. Jinghao Ke is the CEO of JCube Institute, recognised for delivering cutting edge, high-quality training and career coaching in Digital Skills Mastery such as Data Analytics, Business Analytics, Machine Learning and Deep Learning, amongst others. He advises, executes and provides training for MNCs and various Singapore Government agencies.
Dr. Ke received his Ph.D. in Business (Finance) from SMU with his research dissertation and interests in corporate finance, incentives design, social networks, corporate governance and natural language programming. He led and managed teams to design, construct and maintain corporate governance indices with SMU’s Sim Kee Boon Institute for Financial Economics. He is also involved in business consulting and data analytics projects for many SMEs through the UOB-SMU Asian Enterprise Institute.
