AI and Analytics for Business Valuation and Finance
To stay ahead in the age of digital transformation, it is essential for finance and accounting professionals to embrace technology such as artificial intelligence (AI) and machine learning (ML) and empower yourself with the latest knowledge and skills
to be better prepared for the workplace of the future.
Designed with a strong focus on practical applications of AI in finance and valuation, this insightful 5-day course provides you with a good understanding of the fundamentals of analytics, AI and ML and their capabilities in solving real world business problems. Get
insights on how AI and analytics can be applied in the finance context, such as fraud detection, risk management, auditing and compliance, valuation, investment analysis, and automation of data analysis. Case studies and hands-on
sessions will be incorporated to reinforce your learning and application.
In this beginner-friendly AI for business course, the “intelligence” behind AI, the tools available, as well as the latest trends and applications, including AI/analytical methods like regressions, decision trees and unsupervised techniques (e.g. clustering) will be discussed. You will also gain an overview of how unstructured data like text and Large Language Models (LLMs) and Generative AI (e.g. ChatGPT) are used in finance, as well as the use of Agentic AI to streamline finance processes.
You will learn to apply AI tools to perform rapid data analysis, auto-generate decision rules, create neural networks
and data visualization.
Upon completion, you will be familiar with the basic AI terminologies, the process of developing AI and analytical solutions and the evaluation of proposed solutions. With the new digital knowledge and skills gained, you will feel more confident to embrace AI and analytics for business or engage with stakeholders to explore the adoption of AI in your organisation.
Gain deeper insights and make better forecasts and decisions with AI |
Acquire in-demand AI and analytics skills with application-oriented, hands-on sessions |
Real-world Business Applications (e.g. fraud detection, financial modelling, investment analysis, etc.) |
Key Takeaways:
- Understand the fundamentals and applications of analytics, AI, and machine learning, and harness the power of these technologies to solve real-world problems.
- Understand the basics of Python programming and create basic AI models.
- Learn to apply these models to perform rapid data analysis, auto-generate decision rules, create neural networks (used intensively in generative AI), and data visualisation.
- Become more competent and confident to adopt AI and analytics at work for greater efficiency, better decision-making, and business planning.
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There is a good balance of AI concepts, business applications, demos and hands-on practice to reinforce your learning and application throughout the 5-day course.
Laptop required during session: Please note that participants are required to bring their own laptop for this practical, hands-on course.
Analysts, finance managers, investment managers, auditors and other finance/accounting professionals who are keen to learn how to integrate AI and analytics into their work to improve efficiency and support decision making and planning
This beginner-friendly course is suitable for any professional who is looking to gain a strong fundamental understanding of AI, as well as those with more advanced knowledge who want to brush up on their basics.
Next intake
20, 21, 22, 28, 29 Nov 2025 (Apply here)
May 2026 (Tentative)
Training is conducted from 9am to 5 pm unless specified otherwise.
Venue:
Lifelong Learning Institute (LLI)
11 Eunos Road 8, Singapore 408601
MRT: Paya Lebar Station
Nanyang Executive Education reserves the right to change the date, venue, and mode of delivery due to unforeseen circumstances.
All applications will be reviewed by our Admissions Committee. We reserve the right to accept or reject the application of any participant without assigning any reasons whatsoever and the Office’s decision will be final.
Full programme fee: S$4,600 (before GST), S$5,014 (with GST)
Fees payable after SkillsFuture Singapore (SSG) funding:
| Programme Fee In SGD | |||
|---|---|---|---|
| Fees BEFORE funding & GST# | Fees AFTER funding & 9% GST# | ||
| Singapore Citizens (aged 21 - 39) / PR (aged ≥ 21) 50% Funding* | $4,600 | $2,714 | |
| Singapore Citizens (aged ≥ 40) MCES1* - up to 70% | $4,600 | $1,794 | |
| SME-sponsored Singapore Citizens / PR ETSS2 - up to 70% | $4,600 | $1,794 | |
| International Participants without funding | $4,600 | $5,014 | |
# GST is based on full course fee before funding.
*Applicable for both self-sponsored and company-sponsored participants.
1. For more information about the Mid-career Enhanced Subsidy (MCES) scheme.
2. For more information about the Enhanced Training Support for Small & Medium Enterprises (ETSS) scheme.
Participants do not need to contact SkillsFuture for funding application before course registration. Participants will be invoiced the nett amount after funding and GST.
SkillsFuture Credit - for self-sponsored
On top of the above funding schemes, Singapore Citizens, aged 25 and above and self-sponsored may use their SkillsFuture Credit (base tier) to defray part of the nett course fee. The $4,000 Additional SkillsFuture Credit (Mid-Career Support) is not applicable for this course. Click here for SkillsFuture Credit submission.
SkillsFuture Enterprise Credit - for SME-sponsored
Eligible Singapore-registered companies can tap on $10,000 SkillsFuture Enterprise Credit to cover up to 90% of out-of-pocket expenses. Click here to submit SkillsFuture Enterprise Credit.
Please note that the programme fees are subject to change without prior notice. Funding for courses is limited in duration and subject to the prevailing conditions of the funding agencies.
Funding Requirements:
- Participant must achieve at least 75% attendance for the programme.
- Participant must complete and pass all assignments / assessments as assigned by the trainer.
Dr. Eric Tham
Senior Lecturer, Nanyang Business School, NTU Singapore
Eric Tham is a Senior Lecturer from the Division of Finance at Nanyang Business School, NTU Singapore.
Prior to academia, Dr Tham worked in the financial services industry for 17 years in risk, quantitative analysis and energy economics with Credit Suisse, Standard Chartered Bank as well as in a major oil MNC and a Fintech start up in China. He is also Executive Director, Data Science in the Fintech Association of Singapore.
He holds a MSc Financial Engineering from Columbia University, MSc Business Analytics from National University of Singapore and a PhD from EDHEC Business School in France.
His research interests are in AI and Machine Learning in Finance, Carbon Finance and Behavioural Finance. He teaches Financial Management, Financial Modelling, and Derivatives and Structured Products.
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