Investing Using

Machine Learning and Alternative Data

HARNESS THE POTENTIAL OF ALTERNATIVE DATA AND MACHINE LEARNING FOR INVESTING DECISIONS

This programme empowers you with the skills and confidence to exploit opportunities and accelerate data-driven investing decisions. Through lectures, real-world case studies, discussions, and hands-on exercises you will gain insights into various real-world applications of alternative data and machine learning in investing decisions.

Learning Objectives

By the end of the programme, you will be able to:

  • Understand how alternative data and machine learning can help improve your investing decisions
  • Understand the most recent ideas and techniques in use of alternative data and machine learning
  • Understand and interpret the data used to make investing decisions

Programme Format

Classroom (In-person)

Programme Intake

TBC

Programme Duration

5 days, 9am to 6pm

SkillsFuture Code

TGS-2021004426
TGS-2022011528 (Synchronous e-Learning)

Core Focus

  • Assembling Alternative Data for Investing
  • Financial Markets and Alternative Data
  • Illiquid Markets and Alternative Data
  • Indexation and Valuation in Illiquid Markets
  • Threats, Opportunities, and Monetization of Alternative Data & Machine Learning
  • Sustainable Finance and Alternative Data
  • Financial Forecasting and Alternative Data
  • Future of Machine Learning and Alternative Data

Application Information

Participants are strongly advised to apply at least 1 month in advance. Applications received after the deadline will be considered based on space availability.

Participants who meet the minimum attendance requirement and pass the assessment will be awarded a “AIDF Certificate”. 

Participants have to complete both “Finance with Python” and “Investing using Machine Learning and Alternative Data” to be awarded the “NUS Professional Certificate in Investing using Machine Learning and Alternative Data”.

Programme Instructors

Click below to view the complete list of instructors.

Register your interest here!
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This programme is eligible for subsidies under SkillsFuture Singapore (SSG). Singaporeans and Permanent Residents can enjoy subsidies up to 90%.

Contact us:

aidf-fintech@nus.edu.sg