Singapore University of Social Sciences

Artificial Intelligence in Financial Services

Artificial Intelligence in Financial Services (FIN384)

Applications Open: 01 May 2025

Applications Close: 15 June 2025

Next Available Intake: July 2025

Course Types: Modular Undergraduate Course

Language: English

Duration: 6 months

Fees: $1461

Area of Interest: Finance

Schemes: Alumni Continuing Education (ACE)

Funding: To be confirmed

School/Department: School of Business


Synopsis

This course explores the transformative role of Artificial Intelligence (AI) in the financial services industry. In the course, students will delve into the applications of AI across various financial domains and understand its impact on areas such as risk management, fraud detection and wealth management. The course will equip students with a foundational understanding of the role of AI in transforming existing business and decision-making processes within financial institutions. This course will also seek to balance the perspective of AI deployment in financial institutions through the lens of central bankers. In the course, students will be exposed to the legal and regulatory challenges of governing AI adoption in finance and understand the risk of algorithmic bias and discrimination in financial decision-making. Through the use of lectures, case studies, and discussions, the course seek to study the potential benefits and challenges associated with AI adoption in finance. By the end of the course, you will be able to critically evaluate the current state of AI in financial services and its future direction.

Level: 3
Credit Units: 5
Presentation Pattern: EVERY JULY

Topics

  • Introduction to AI in Finance
  • AI in Risk Management
  • AI in Fraud Detection
  • AI in Wealth Management
  • Regulatory Challenges in AI Adoption
  • Governance and Ethics in AI
  • Algorithmic Bias and Discrimination
  • Central Bankers' Perspective on AI
  • Case Studies in AI Implementation
  • AI and Financial Inclusion
  • Explainable AI
  • Future Directions of AI in Finance

Learning Outcome

  • Show the applications of AI in financial services
  • Analyse the risk of algorithm bias and discrimination in financial services
  • Appraise the benefits and challenges associated with AI adoption in financial services
  • Recommend suitable AI algorithms for financial services
  • Examine and interpret AI model’s output in financial services
  • Discuss the current state of AI in financial services and its future direction
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