Overview
The SCTP Advanced Professional Certificate in AI-Powered UX Design and Digital Product Strategy prepares mid-career professionals for the evolving UX landscape by combining strategy, data, and rapid delivery. Aligned with Singapore’s Smart Nation and AI-driven digital economy, the programme builds multidisciplinary skills in user research, product discovery, analytics, and AI-enabled experience design. Through hands-on wireframing, prototyping, low-code development, and a capstone project, participants learn to translate insights into testable MVPs and launch impactful, user-centric digital products suited for next-generation UX and product roles.
Course Description & Learning Outcomes
Digital Product Management & Discovery: Building What Matters
Navigate the journey of bringing impactful digital products to life with this course as it provides a comprehensive framework for product opportunity discovery, enabling you to pinpoint and validate viable ideas.
Learn to build impactful digital products with a framework for discovery, product-led growth, AI integration, and GTM strategy, turning ideas into successful, future-ready digital solutions.
Data Analytics for Product Managers
In today’s digital ecosystem, data is not just a byproduct of product use, it is a strategic asset.
This course empowers product managers with essential data analytics capabilities to drive smarter, faster, and more user-centric decisions. Learners will be equipped with practical data analytics skills to support data-driven product development, enhance user experience, and harness AI/ML insights for strategic decision-making.
User Research and Insights
This course provides a concise introduction to user research, equipping learners with the skills to understand user needs and behaviors. It covers quantitative and qualitative research methods, including surveys, interviews, in order to gather actionable insights. Also, it explores data synthesis and prioritization, teaching techniques to analyze findings, identify patterns, and prioritize user-centric solutions effectively. Ideal for designing informed and impactful products or services.
AI-Powered Low Code Development
By leveraging AI-driven low-code platforms, professionals can translate user insights into functional MVPs, streamline data integration, and enhance user flows, aligning with industry trends toward agility and customer-driven innovation. This expertise enables more effective collaboration with technical teams and accelerates the delivery of market-ready products.
Learners will learn AI-powered low-code skills to rapidly build MVPs, translate user insights into prototypes, and streamline UX/UI development—boosting speed, collaboration, and innovation in user-centric product delivery.
UX Solutioning & Testing
In today's fast-paced digital landscape, UX researchers and product managers play a pivotal role in crafting user-centric solutions that drive engagement and business success.
Our learners will master user-centered design with hands-on training in solutioning, user flows, Figma prototyping, usability testing, and storytelling—equipping teams to design, test, and communicate impactful digital experiences effectively.
Capstone Project: AI UX Product Strategy
This course serves as the culminating experience for learners to apply their knowledge in a real-world project. Guides teams through ideating, prototyping, and refining an AI product, blending UX and strategy, with instructor support and final pitch sessions to showcase their strategic thinking, design execution, and storytelling skills.
Graduate Support & Outcomes
Benefit from an industry-focused curriculum developed with input from tech professionals.
Network with experienced mentors and industry experts for career support.
Build a job-ready portfolio through real-world projects with startups and hiring partners.
Receive career support, including mentoring, soft skills development, and hiring events.
At the end of the programme, learners will be able to:
Apply product thinking, user research, and data analytics to identify opportunities and make informed product decisions.
Use AI tools and low-code platforms to design, prototype and build functional digital products.
Deliver a comprehensive product pitch supported by robust research insights and a well-designed Minimum Viable Product (MVP). Establish measurable performance metrics aligned with the overall product strategy.
Recommended Prerequisites
This programme is for individuals with a relevant background looking to diversify/expand their skills and/or intending to switch to a Product Management / UX role:
Mid-career professionals pivoting into product management, UX, or digital roles
Designers and marketers upskilling in AI and data for digital product roles
Founders, startup teams, or intrapreneurs needing rapid product prototyping skills
Tech Entrepreneurs
Current Product Professionals looking to upgrade skills
Tech-savvy career switchers looking for hands-on, project-based learning
Familiarity with UI concepts and tools like Figma will be an added advantage for a smoother and more engaging learning experience.
Pre-course instructions
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.
Schedule
End Date: 22 Aug 2026, Saturday
Weekdays: 7:00PM to 10:00PM, Saturday: 10:00AM to 5:00PM Venue: Virtual (Online), NTU e-Learning Platform & NTU@one-north campus (NTU PACE reserves the right to change the date, time and venue due to unforeseen circumstances) Registration Closing Date: 21 March 2026
Location: NTU@one-north campus, 11 Slim Barracks Rise, Singapore, 138664 and OnlineAgenda
| Day/Time | Agenda Activity/Description |
|---|---|
| Weekdays night | 7pm-10pm |
| Saturday | 9am-5pm |
Pricing
Course fees: Standard Course Fee: S$18,800
Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Building Information Modelling (Proficiency level: Beginner)
- Operational Technology Security (Proficiency level: Beginner)
- Predictive Maintenance (Proficiency level: Beginner)
- Industrial VR/AR (Proficiency level: Beginner)
- District Cooling & Microgrids (Proficiency level: Beginner)
- Net-Zero Strategy (Proficiency level: Beginner)
- Internet of Things (IoT) (Proficiency level: Beginner)
Speakers
Trainer's Profile:
Mr Hanson Yap, Programme Director, Academy for Professional and Continuing Education (NTU PACE)
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.
Trainer's Profile:
Mr Joshua Wang, Programme Director, Academy for Professional and Continuing Education (NTU PACE)
With over a decade of experience in the tech industry, Joshua specialises in strategic communications with a strong focus on experience design and digital consulting. Previously a consultant at Ernst & Young, he has worked with enterprise clients to shape future digital experiences - bridging business goals with user needs through close collaboration with stakeholders and tech teams. Today, Joshua runs his own consulting practice, allowing him to stay hands-on with industry challenges while imparting up-to-date skills and knowledge to the learners he teaches. A firm believer in accessible design education, Joshua actively mentors aspiring UX professionals on platforms like ADPList and Springboard, and has been recognised among the top 10% of mentors across Asia Pacific.
Trainer's Profile:
Mr Neumann Chew C.H., Trainer, Academy for Professional and Continuing Education (NTU PACE)
Neumann Chew C.H. is Senior Lecturer at NTU Nanyang Business School and leads Data Science/Machine Learning projects with companies. Previously, he was Principal and Head of Analytics at SAS Institute where he designed and lead advanced analytics solution for government agencies, banks, insurance companies, hospitals and MNCs. Prior to SAS Institute, he was Head of Research & Statistics at Ministry of Health, and Professor of Financial Mathematics in Dubai Academic City. He had published the textbook Artificial Intelligence, Analytics and Data Science, currently used in undergraduate Analytics specialization and Masters of Business Analytics programme.
