Advanced Certificate in Fintech and the Future of Finance Module 3: Harnessing the Power of Data – Analytics, Blockchain, and Artificial Intelligence in the Digital Era

Analytics & Tech
Artificial Intelligence
Finance & Investment

Next Intake: 14 Apr 2025 (Mon)

Basic
SkillsFuture
Short Courses
This module is part of Advanced Certificate in Fintech and the Future of Finance

This module is conducted in-person.

Next course starts on

14 Apr 2025 (Mon) See Full Schedule

Fee

SGD3,270* (as low as SGD381 after maximum funding) Learn More

Duration

3 days
Weekdays (9am - 5pm)

Level

Basic

Who Should Attend

Fintech Entrepreneurs/Startup Founders
Financial Analysts and Consultants
Technology Specialists
Banking and Financial Services Professionals
Regulatory Professionals
Risk Managers and Compliance Officers
Investment Professionals
Academics and Researchers
Career Transitioners

PREREQUISITES

Participants should have a basic understanding of financial and economic concepts.
A basic understanding of technology, including familiarity with computer systems and software applications, is beneficial.
Knowledge of data analysis, programming, or software development, while not mandatory, could enhance the learning experience.
Some professional experience, particularly in roles related to finance, technology, entrepreneurship, or regulation, can enrich the participant's understanding of course content.
Motivated fresh graduates or students with a keen interest in Fintech are also welcome.

Overview

Emerging technologies are swiftly altering the landscape of the financial sector.

This module offers a comprehensive exploration into the three emerging technological disruptions that are shaping the future of finance - Artificial Intelligence (AI) Blockchain Technology, and Privacy Enhancing Technologies

This module allows participants to explore the fundamental principles, potential applications, and the challenges and opportunities AI, Blockchain technology and Privacy Enhancing Technologies present in the financial industry. They will also gain an understanding practical applications in fields like customer service, investment management, credit scoring, and risk management, along with tackling the associated ethical and regulatory considerations.

By the end of this module, participants will possess a comprehensive understanding of how these burgeoning technologies are reshaping the financial services industry and will be equipped to leverage them in their professional environments.

Learning Objectives

At the end of the 3-day module, participants will be able to:

Gain insight into the transformative effect of AI on financial services, including practical applications and regulatory considerations
Analyse the role of AI in risk management and credit scoring, and develop an understanding of ethical issues associated with AI in finance
Grasp the concept of Machine Learning and its significant role in modern Fintech solutions
Comprehend the principles and potential applications of blockchain technology and cryptocurrencies in the financial industry
Evaluate the advantages, challenges, and opportunities associated with blockchain technology and cryptocurrencies
Understand the impact of data analytics, blockchain, and AI on traditional financial services and the opportunities they present
Understand how privacy enhancing technologies work and the opportunities present for their application in the financial services

Assessment

As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.

Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.

Calculate Programme Fee

Fee Table

COMPANY-SPONSORED

PARTICIPANT PROFILE

SELF-SPONSORED

SME

NON-SME

Singapore Citizen < 40 years old

Permanent Resident

LTVP+

$981

(After SSG Funding 70%)

$381

(After SSG Funding 70%
+ ETSS Funding 20%)

$981

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$381

(After SSG Funding 70%
+ MCES Funding 20%)

$381

(After SSG Funding 70%
+ ETSS Funding 20%)

$381

(After SSG Funding 70%
+ MCES Funding 20%)

International Participant

$3,270

(No Funding)

$3,270

(No Funding)

$3,270

(No Funding)

All prices include 9% GST

Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.

Self Sponsored

SkillsFuture Credit: Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.

This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.

Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).
Workfare Skills Support Scheme: From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.

Company Sponsored

Enhanced Training Support for SMEs (ETSS)

Organisation must be registered or incorporated in Singapore
Employment size of not more than 200 or with annual sales turnover of not more than $100 million
Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
Trainees must be Singapore Citizens or Singapore Permanent Residents
Trainees must not be a full-time national serviceman
Trainees will be able to enjoy ETSS funding only if the company's SME's status has been approved. To verify your SME's status, please click here.

Please click here for more information on ETSS.

Absentee Payroll