(SCTP) Advanced Professional Certificate in Product Management for AI & Digital Finance

The Advanced Professional Certificate in Product Management for AI & Digital Finance prepares professionals to lead in a financial landscape increasingly shaped by fintech innovation, artificial intelligence, and regulatory change. Across seven modules, participants will build a strong foundation in product management covering areas in digital finance and compliance, sharpen stakeholder management skills, and apply design thinking to uncover user needs. With an emphasis on real-world application, the programme equips learners to plan and develop technology-enabled financial products that balance innovation with governance and ethics — a critical capability in today’s fintech-driven economy.

The programme bridges strategy, technology, and practice to meet the demands of an industry in transformation. Participants will learn how to launch products for measurable impact, track performance through continuous discovery, and adapt offerings as markets evolve. Through the capstone project, learners will apply their skills to tackle real-world fintech and digital finance challenges, ensuring industry relevance and hands-on experience. By the end of the programme, graduates will be ready to drive innovation and create sustainable value in the fast-changing world of AI, fintech, and digital finance.

Course Date

Offering in AY2026

Duration

This course is offered on a part-time (4 months) basis.

Who Should Attend

This programme is designed to equip professionals with the strategic, technical, and product innovation skills required to lead in the fast-evolving domains of Artificial Intelligence and Digital Finance.

It supports individuals who are looking to pivot, upskill, or accelerate their careers into product roles that demand fluency in AI-driven solutions, fintech innovation, and digital product strategies.

Designers and marketers seeking to upskill in AI, data, and digital finance frameworks to transition into product roles.
Founders, startup teams, and intrapreneurs who need rapid prototyping skills to test AI-driven or fintech product ideas quickly prototyping skills to test AI-driven or fintech product ideas quickly.
Tech entrepreneurs driving innovation in AI-enabled platforms or digital financial services.
Current product professionals seeking to upgrade their expertise in AI integration, fintech ecosystems, and digital-first product strategies.
Tech-savvy career switchers looking for hands-on, project-based learning in building and scaling AI-powered or digital finance products.

Applicants will be required to undergo a shortlisting process where they must share their résumé and complete a pre-course assessment. Our instructors and career consultants will review applicants to assess their suitability before deciding whether to shortlist them for the course.

Venue

Virtual (Online), NTU e-Learning Platform & NTU@one-north campus

Master the Foundations of Digital Finance
Build a solid grasp of the technologies reshaping finance—from digital payments and embedded finance to blockchain, tokenization, CBDCs, and digital assets—so you can design secure, scalable, future-ready products.
Regulatory & Compliance Essentials
Learn how to build fintech products that meet global regulatory standards, covering data privacy, AML, and digital asset compliance, ensuring your strategies stay innovative and compliant.
Navigate the Full Product Lifecycle
Gain the capability to move from ideation to commercialization with confidence. You’ll learn to manage and sustain product growth across every stage of the lifecycle.
Future-Proof with AI Skills
Understand how to apply AI responsibly and effectively, from core implementation considerations to how AI tools reshape GTM strategies in next-generation fintech.
Innovate with Design Thinking & Discovery
Apply Design Thinking and continuous discovery to validate ideas, test assumptions, and uncover high-value opportunities with a repeatable, evidence-driven approach.
Design for Product-Market Fit & Retention
Learn to evaluate product-market fit, create growth loops, and drive adoption so your products meet real demand and deliver lasting business impact.

Fee & Funding

SSG Funding Support	Course fee	Course fee payable after SSG funding, if eligible under various schemes
	BEFORE funding & GST	AFTER funding & 9% GST
1Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding)	S$17,500	Pending SSG's approval
2 SCs aged ≥ 40 years old SkillsFuture Mid-career Enhanced Subsidy (MCES) (Up to 90% funding)		Pending SSG's approval
3 SCTP Additional Course Fee Funding Support (AFS) (Up to 95% funding) This funding is only applicable to eligible applicants		Pending SSG's approval

Payment will be made per module.The full amount of nett fees is required to be paid before the start of each module.
NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
SkillsFuture Credit (Mid-Career) top-up of $4,000 can be utilised

1Cat-A SSG Funded Courses - Eligible Singapore Citizens and PRs must attain at least 75% training attendance and passed all associated assessments in order to be eligible to enjoy up to 70% of the course fee. Learners will have to bear the full courses fee upon failure to meet either one of the requirements.

2Mid-career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above must attain at least 75% training attendance and passed all associated assessments in order to be eligible to enjoy subsidies up to 90% of the course fee.

3Additional Course Fee Funding Support (ACFFS)- Individuals must be Singapore Citizens and meet one of the following eligibility criteria:

a) Long-term unemployed individuals (unemployed for six months or more);or

b) Individuals in need of financial assistance – ComCare Short-to-Medium Term Assistance (SMTA) recipients or Workfare Income Supplement (WIS) recipients; or

c) Persons with Disabilities.

*The maximum government funding for each module is capped at $7,000, regardless of the specific funding scheme. As a result, certain modules within the course may not be funded up to the typical 90% or 95% levels. This limitation contributes to the slightly higher nett fee. We seek your understanding on this matter.

Learning Objectives

At the end of the programme, learners will be able to:

Understand the foundations of digital finance, including key technologies, regulatory frameworks, and compliance requirements.
Apply stakeholder management strategies to effectively lead and coordinate digital finance projects.
Design and develop AI-enabled financial products, integrating ethical and governance considerations.
Collaborate on real-world capstone projects that demonstrate the application of learned skills in a practical, industry-relevant context.
Leverage data analytics and digital tools to support decision-making in product development and management.
Navigate legal and compliance challenges in the digital finance landscape.

Outline

Builds foundations in digital finance, fintech innovations, and compliance, covering AI, blockchain, payments, alternative finance, and global regulations, preparing learners to navigate risks and drive value in digital finance

Equips professionals to manage stakeholders in regulated digital environments using AI tools, negotiation frameworks, and case studies—developing skills in mapping, alignment, and conflict resolution for strategic influence.

Learn design thinking, product discovery, and AI’s impact on product team topologies. Through practical application of frameworks and tools, learners can identify opportunities and ideate on solutions to drive user-centric innovation.

Explores AI in fintech, covering product design, data strategy, model tuning, ethics, and cybersecurity. Learners gain skills to implement AI-driven solutions that drive innovation, compliance, and trust in finance.

Design a Minimally Viable Product (MVP) and analyse the critical elements of a robust Go-To-Market (GTM) plan to drive an impactful launch. Examine strategies to sustained growth at every stage.

Explores Lean and Agile management philosophy, outcome-based roadmaps and the Continuous Discovery framework. Equip learners with the skills to design product metrics and assess Product Market Fit.

Learners will be challenged to navigate the complexities of product development. Apply lessons learnt to identify a significant challenge or untapped opportunity for an existing Fintech product. Devise innovative solutions and rigorously test their desirability and viability. This process mirrors the daily realities of product managers who must constantly evaluate, adapt, and make informed decisions about the future of their products.

Trainers

Hanson Yap

Programme Director

With 20 years of experience as a business leader and product manager, Hanson Yap is an accomplished veteran leading cross-functional teams to manage flagship products in the technology space. At Apple, he managed the iconic iPad and Mac for the Southeast Asia region, creating compelling new value propositions for the iPad Pro and architecting the successful transition to Apple’s M1 chip on the Mac. The business tripled under his stewardship.

At Microsoft, Hanson Yap led the sales and marketing team to drive Windows and Xbox in the retail space. He was awarded the prestigious Protégé award for outstanding achievements in driving business success.

In 2023, he pivoted to the education segment to better align with his new career aspirations of inspiring and preparing learners.

https://www.linkedin.com/in/hansonyap/

Dr. Ernie Teo

Programme Director

Dr. Ernie Teo, Program Director for the Bachelor of Applied Computing in Finance at NTU, holds a PhD in Economics and Game Theory and brings deep expertise in blockchain and fintech. With a career spanning academia and industry—including leading roles in blockchain research and enterprise product development—he has been driving innovation in fintech education since 2014. His work integrates theoretical insight with practical experience to prepare future-ready talent for the digital finance landscape.

https://www.linkedin.com/in/ernieteo/

Dr. Chloe Gu

Dr. Chloe Gu is a Senior Lecturer at the College of Computing and Data Science, Nanyang Technological University, and a seasoned data and product leader with 20 years of experience across banking, fintech, and e-commerce. She has held leadership roles at Standard Chartered, Grab Financial Group, and Lazada, where she translated analytics into impactful digital products and innovation. At NTU, she teaches and researches at the intersection of AI, product management, and business, bringing rich industry experience into the classroom.

Dr. Gu holds a Ph.D. in Computer Science from the National University of Singapore and is passionate about mentoring the next generation of product and data talent.

Keith Carter

Keith Carter is the CEO of KDA Capabilities, a firm focused on emerging technology capability building and thought leadership for business and academic leaders. With over 30 years of experience spanning industry and academia, Keith has taught courses on AI, privacy, cybersecurity, and fintech at NUS, where he earned a university teaching award and founded initiatives like the Ripple FinTech Lab and Crystal Centre. His career includes leadership roles at Estee Lauder in procurement and supply chain optimization, and consulting work at Accenture with top-tier financial institutions.

Keith holds degrees from Rensselaer Polytechnic Institute and Cornell University, and brings a unique blend of technical expertise, business acumen, and deep engagement with innovation ecosystems—making him a valuable voice in stakeholder management for financial products.

Advanced Professional Certificate in Product Management for AI & Digital Finance