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
This module is conducted in-person.
3 days
Weekdays (9am - 5pm)
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
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% |
$981 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$381 (After SSG Funding 70% |
$381 (After SSG Funding 70% |
$381 (After SSG Funding 70% |
|
International Participant |
$3,270 (No Funding) |
$3,270 (No Funding) |
$3,270 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
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
Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
Intake Information
This module is conducted in-person.
| Course | Dates |
|---|---|
| INTAKE 2 | 14 - 16 Apr 2025 [Open for Registration] |
*Online registration will close 5 calendar days before the course start date
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