AI in Finance: Delivering Business Value
Duration: 6 weeks excluding orientation
Course format: Online
Course fees: S$2,056
Course Overview
Understand the real-world applications of AI-based financial solutions and how to leverage them to create business value.
Course Objectives
There is a misconception that AI is removing the human element from the world of finance. However, keeping up with early adopters of technology is becoming critical for organisations to remain competitive. Innovations such as process automation, machine learning and predictive analytics are largely designed to enhance the work people are already doing by speeding up processes and improving decision-making.
On the AI in Finance: Delivering Business Value online short course from the National University of Singapore (NUS) Advanced Computing for Executives (ACE), you’ll learn how to manage the design, development and deployment of AI solutions within your organisation. You’ll be equipped with the critical fundamental knowledge to identify value-producing solutions for your organisation, and the skills to commercialise them. With the guidance of expert NUS faculty, this non-technical course will help you examine the potential of AI for your business and start your journey towards innovation.
Learning Outcomes
On completion of this course, you’ll walk away with:
- An understanding of the fundamentals of how AI works within finance.
- The ability to assess the ethical considerations and compliance issues surrounding AI in finance.
- The knowledge to assess and predict AI finance trends.
- The ability to recommend ways for your organisation to commercialise an AI finance solution.
- Unlimited access to 2U’s Career Engagement Network, offering you exclusive resources and events to support your professional journey and drive your career forward.
Units
- AI and data science
- The application of AI in finance
- Planning and managing AI in finance projects
- Managing AI pitfalls, ethical considerations and regulatory compliance
- Managing AI innovation in finance
- The future of AI in finance: Management perspectives
Who Should Attend
This course is designed for executives, professionals and managers who want to recognise and recommend AI financial solutions that drive business value. The non-technical content will guide decision makers who wish to understand the requirements for implementing AI solutions within their organisations. It also gives business leaders seeking to learn more about the fundamentals of how AI works a clear understanding of their commercial applications within their business.
Prerequisites
n/a
Technical Requirements
n/a
Course Convenor
Mr Sarat Mohanty
Executive Education Fellow, Advanced Computing for Executives (ACE), National University of Singapore (NUS) School of Computing

Mr Sarat Mohanty
Mr Sarat Mohanty is a senior global digital business leader lived and worked out of Australia, Singapore, UK, Germany, Dubai & Hong Kong assuming Global, Asia Pacific, Europe, Africa & Middle East responsibilities. Sarat is responsible up to 1 bn USD revenue realization & managed 150+ staff globally. Sarat’s core competency includes technology consulting, Delivering & Monetizing Banking technology solution, Digital Transformation in Banking, Banking as a Service (BaaS), Fintech Platform Integration, Business Process Re-engineering, Blockchain & Cloud Application Engineering, ERP Rollout & Fintech advisory. A rare competency (Business & Technology, Banking & Corporate) for someone to have in the digital global leadership role. Domain expertise includes, Banking Pre-Sales, Working Capital Management, Cash & Treasury Management, Supply Chain Management & Trade & Supply Chain Finance Management & Sustainable Financing (ESG).
Sarat is an active keynote speaker in reputed industry events, forums, specializing in Digital Disruption, & Blockchain. Sarat is recipient of various industry (BFSI) awards & accolades.
Mr Sarat holds Digital Transformation Specialization from MIT-USA, MBA degree in Strategic Management (UK), Postgraduate in IT(India), Bachelor’s Degree in Finance. Sarat is an adjunct professor at NUS – AIDF (1st Fintech University in Asia) of Digital Transformation In Banking Industry & at SP Jain Global Management (Singapore) of Supply Chain Sustainability (ESG), Supply Chain Management & Financial Management In Supply Chain. Sarat is also a certified Six Sigma process expert & certified Project Management Professional.
Mr Zaid Bin Hamzah
Executive Education Fellow, Advanced Computing for Executives (ACE), National University of Singapore (NUS) School of Computing

Mr Zaid Bin Hamzah
Mr Zaid Bin Hamzah is a technology lawyer with deep transactional experience, Zaid has over 35 years of professional experience in the field of law, technology and intellectual property. He has previously served as (i) Microsoft’s Director for intellectual property and commercial software; (ii) Senior Legal Advisor to Singtel’s JV with Warner Bros and Sony Pictures (iii) Chief Regulatory Legal & Compliance Officer at listed Telekom Malaysia; (iv) Associate, Khattar Wong & Partners (Singapore law firm) and (iv) Singapore Government service.
Zaid is an Executive Education Fellow of NUS School of Computing teaching AI Innovation Management, Intellectual Property Rights in AI Innovation, and Commercialisation of AI Innovation. Author of 9 books covering IP/IT law, technology commercialisation, intellectual property and financing, Zaid has in-depth Asian experience and all-round corporate/commercial exposure in Singapore & SE Asia. Zaid is also a Board Member of NIE International which is wholly owned by Nanyang Technological University and he currently serves as an Adjunct Senior Fellow at the S Rajaratnam School of International Studies (RSIS), Nanyang Technological University.
Mr Zaid Bin Hamzah is a data and AI practitioner. He is currently Managing Partner behind the brand FutureLaw.ai, a platform that builds capabilities of legal & business professionals in Legal AI/Analytics and Legal Data Science.
To enquire, email: nusonline@getsmarter.com
Catalogue of Programmes for Individuals
- Course Category
- Artificial Intelligence & Machine Learning
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- Cloud Computing & Internet of Things
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