| Program start date | Application deadline |
| 2026-01-19 | - |
| 2026-02-07 | - |
| 2026-03-16 | - |
| 2026-04-08 | - |
| 2026-05-18 | - |
| 2026-06-08 | - |
| 2026-07-01 | - |
| 2027-01-19 | - |
| 2027-02-07 | - |
| 2027-03-16 | - |
| 2027-04-08 | - |
| 2027-05-18 | - |
| 2027-06-08 | - |
| 2027-07-01 | - |
Program Overview
Overview of University Programs
The university offers a range of programs designed to build capabilities in infocomm and digital business. These programs include Executive Education, Graduate Programmes, Stackable Programmes, Blended Learning Programmes, and Corporate Programmes.
Executive Education
Executive Education Programmes are designed to build capabilities in infocomm and digital business. The programs cover various disciplines, including:
- Artificial Intelligence
- Cybersecurity
- Data Science
- Digital Agility
- Digital Innovation & Design
- Digital Strategy & Leadership
- Digital Products & Platforms
- Digital Sustainability
- Digital Health
- Software Systems
- StackUp - Startup Tech Talent Development
Graduate Programmes
The university offers five practice-based graduate programmes focusing on information technology (IT) and data science. These programs include:
- Graduate Diploma in Systems Analysis
- Master of Technology in Artificial Intelligence Systems
- Master of Technology in Digital Leadership
- Master of Technology in Enterprise Business Analytics
- Master of Technology in Software Engineering
Stackable Programmes
Stackable Programmes provide an alternative pathway to continuing education without disrupting one's career. The programs include:
- Graduate Certificates in:
- Data Science
- Digital Solutions Development
- Artificial Intelligence
- Smart Systems & Platforms
- Professional Certificates in:
- Digital Leadership
- Health Service Innovation
- Professional Diploma in:
- Health Service Transformation
Blended Learning Programmes
Blended Learning Programmes provide individuals with the flexibility to learn at their own time and pace while achieving their academic and career goals. The programs cover various topics, including:
- About Blended Learning
- Programmes
- Digitalisation Passport
Corporate Programmes
Corporate Programmes are designed to provide contextualized workplace training or customized learning experiences for employees. The programs include:
- Corporate Digitalisation
- Active Learning for Problem Solving
- International Programmes
- Digital Academy Services
- Internship & Job Placements
- Skills For Transformation Programme
Data Storytelling Course
The Data Storytelling course is designed to help participants master the art of data storytelling. The course covers various topics, including:
- Introduction to core elements: data, visual, and narrative
- Data types and appropriate visualization charts
- Best practices for creating effective charts to engage with the audience effectively
- Dashboarding concepts and best practices
- Hands-on practice for data visualization and dashboard creation to construct a compelling story
- Exploration of various data storytelling frameworks
- Creation and presentation of compelling stories
- Enhancement of data stories using GenAI tools
Key Takeaways
At the end of the course, participants will be able to:
- Apply various types of data-related questions and analytics patterns to extract meaningful insights
- Apply exploratory, descriptive, and diagnostic analysis to uncover patterns
- Deconstruct principles of effective data visualization
- Learn the art of designing dashboards for achieving business outcomes
- Utilize storytelling frameworks and GenAI tools to create narratives that effectively present the data story
Who Should Attend
This course is designed for anyone with an interest in data storytelling, particularly those working in client-facing roles, interacting with various stakeholders or departments within the organization, leading teams, or working with data analysis/data visualization regularly.
What Will Be Covered
The course will cover various topics, including data types, visualization charts, dashboarding concepts, and data storytelling frameworks. Participants will also have hands-on practice in data visualization and dashboard creation.
Instructors
The course will be taught by experienced instructors, including:
- Ms. Bethia CHUA
- Dr. Brian ANG
- Ms. Clara LEE
- Mr. Dave HO
- Ms. Janice TAN
- Ms. Marylyn XIANG
- Ms. Shailaja Suresh Kumar (alias Shailu)
- Ms. WEN Naijun
Certificate
Participants who complete the course will receive a Certificate of Completion, provided they meet a minimum attendance rate of 75% and pass the assessment.
Preparing for the Course
Participants are required to bring their internet-enabled computing device (laptops, tablets, etc.) with power chargers to access and download course materials. The course will be held at the NUS-ISS venue, and participants will receive an acceptance email with details one week prior to the commencement date.
