Prof. Roh’s Open-Enrollment SkillsFuture Course in 2026

Hi Team 👋

In my role as an SMU Academy Fellow appointed by our university, I’ve been working to make my courses in computational data science (Python and R programming–based), behavioral decision science, and agentic AI (artificial intelligence) accessible to anyone interested in enrolling.

Over the years, it has been a pleasure to share my expertise beyond capital-intensive organizations and our business school’s master’s programs—where course fees are often quite high. Through these open-enrollment offerings, I’ve had the privilege of engaging with participants not only from Singapore but also from abroad, including postgraduate students from Yale University and Columbia University in New York City, as well as professionals from the Philippines and Malaysia.

I’m not sure how much longer I’ll be able to offer these public lectures, as I was appointed this year as Academic Director for a new Master’s program in AI in Business at our SMU business school, which is set to launch next August (after all, we all have the same 24 hours). Nevertheless, my 2026 courses, which were scheduled earlier this year, will proceed as planned.

Since I often receive inquiries through various channels about my open-enrollment courses, I’ve compiled all my SkillsFuture course offerings for 2026 below.

If you wish to enroll in any of these courses, please email me at sroh@smu.edu.sg . I’ll follow up with the schedule details and inform you once public enrollment opens.

  • This is six-module advanced certification program where you will learn from the very basic of Python programming and to learn all the way to have your own github page with portfolio of problem-solving in diverse business problems. The 2026 cohort will start in April (15th, 16th, and 18th).

    NOTE: The six-module Advanced Certificate programs include a Slack discussion board, where you’ll engage with your cohort, as well as with me and the teaching assistant (TA), to experience a complete learning journey from A to Z.

    • Module 1: Customer Segmentation and User Recommender Systems

    • Module 2: Predicting Customer Lifetime Value and User Attrition

    • Module 3: Causal Inference and Programme Evaluation with A/B Testing & Multi-Armed Bandits

    • Module 4: Algorithmic Trading and Computational Finance

    • Module 5: Natural Language Processing (NLP), Sentiment Analysis, & Large Language Models (LLMs)

    • Module 6: Deploying Business Analytics with Interactive Dashboarding for Decision-Making

  • This is also a six-module Advanced Certificate program, where you will learn the fundamentals of R programming, along with machine learning and time-series forecasting. Many participants take this course after completing the Python program above, though the sequence depends on their schedule. Some choose to take both courses simultaneously. If you plan to take both, please let me know—I’ll be giving guidance on how to optimize your learning experience. The 2026 cohort is scheduled to begin on March 18, 19, and 21.

    NOTE: The six-module Advanced Certificate programs include a Slack discussion board, where you’ll engage with your cohort, as well as with me and the teaching assistant (TA), to experience a complete learning journey from A to Z.

    • Module 1: Introduction to Data Analytics and Visualisation

    • Module 2: Unsupervised Machine Learning: Clustering, Dimension Reduction, & Multi-Dimensional Scaling

    • Module 3: Supervised Machine Learning: Classification and Regression

    • Module 4: Time-Series Forecasting

    • Module 5: Prescriptive Analytics and Decision Analysis with Agentic AI

    • Module 6: Developing Shiny Apps, GitHub Repositories, and Analytics Project Webpages

  • The two advanced certification programs should ideally be taken in sequence. However, the modules themselves may be taken independently on a modular basis. These modules form part of the Industry Graduate Diploma program.

    • Agentic AI & Retrieval-Augmented Generation (RAG): Designing Interactions with Artificial Intelligence

      • January 21, 22, 24 [Currently Open for Public Enrollment]

    • Product Analytics & User Experience (UX) Optimisation

      • February 4, 5, 7 [Currently Open for Public Enrollment]

    • Customer Loyalty & Relationship Management (CRM): Strategies for Building Long-Term Value

      • 2025 November 12, 13, 15 [Currently Open for Public Enrollment]

    • Growth Hacking Strategies for Product Managers

      • March 25, 26, 28 [Currently Open for Public Enrollment]

    • Data-Driven Customer Journey Mapping

    • Persuasive Technology and Human-Centered User Experience Design: A Cognitive Science Approach

    • Customer Experience (CX) & Survey Design: Quantifying CX and User Sentiment

    • Usability Testing & Evaluation: Quantitative User Experience (UX) Research

  • These two modules are delivered over two full-day sessions on weekdays. The courses are designed for working professionals who wish to understand what it means to use AI, learn the distinctions between Predictive, Generative, and Agentic AI, and gain hands-on experience in building AI agents—without the need for programming or coding.

    • Building Autonomous AI Agents without Coding

      • February 12th (Thursday) and 13th (Friday) [Currently Open for Public Enrollment]

    • Vibe Coding Bootcamp

      • February 5th (Thursday) and 6th (Friday) [Currently Open for Public Enrollment]