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 work with organisations to provide contextualised workplace training or customised 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

Advanced Customer Analytics Course

The Advanced Customer Analytics course is designed to equip participants with advanced analytics methodologies to transform customer data into strategic business insights. The course covers:

• Advanced CRM and Customer Analytics
• Customer Lifetime Value (CLV) and Revenue Calculation
• Propensity and Attrition Modeling
• Generative AI techniques in customer analytics

Key Takeaways

By the end of the course, participants will have acquired the following skills and insights:

1. Gain insight into the latest advancements in Customer Relationship Management (CRM) and apply advanced customer analytics methodologies.
2. Learn how to estimate Customer Lifetime Value (CLV) and customer revenue.
3. Develop and implement propensity and attrition models.
4. Explore the applications of Generative AI techniques in customer analytics.

Who Should Attend

The course is suitable for:

• Marketing practitioners and data analysts with more than two years of experience
• Professionals with an active interest in customer analytics
• Marketing Managers, CRM Managers, Senior Marketing Analysts, and Marketing Analysts
• Business Development Managers, Senior Business Analysts, and Business Analysts
• Data Managers, Senior Data Analysts, Senior Information Analysts, and Information Analysts

Prerequisites

Participants are required to have completed the Statistics Bootcamp II course prior to attending this course. They should also have a strong interest and knowledge in basic predictive modeling and be familiar with R/Python.

What to Bring

No printed copies of course materials are issued. Participants must bring their internet-enabled computing device (laptops, tablets, etc.) with a power charger to access and download course materials.

Certificate

A Certificate of Completion will be issued to participants who meet a minimum attendance rate of 75% and pass the assessment.

Instructors

The course is taught by experienced instructors, including Ms. Christine Cheong and Dr. NI Wangdong.

Course Resources

The course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. It is the second course in a series of three courses for the Graduate Certificate in Customer Analytics. Candidates interested in the Stackable Certificate Programme in Data Science must complete two Fundamental Certificates before registering for this certificate.