Program Overview

Overview of University Programs

The university offers various programs, including 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 programmes 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. The programmes 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 programmes include:

• Graduate Certificates:
  • Data Science
  • Digital Solutions Development
  • Artificial Intelligence
  • Smart Systems & Platforms
• Professional Certificates:
  • Digital Leadership
  • Health Service Innovation
• Professional Diploma:
  • Health Service Transformation

Blended Learning Programmes

Blended Learning Programmes provide individuals with the flexibility to learn over their own time and pace while achieving their academic and career goals.

Corporate Programmes

Corporate Programmes work with organisations to provide contextualised workplace training or customised learning experiences for employees. The programmes include:

• Corporate Digitalisation
• Active Learning for Problem Solving
• International Programmes
• Digital Academy Services
• Internship & Job Placements
• Skills For Transformation Programme

About the University

The university is committed to providing high-quality education and training. The university's team includes management, practice chiefs, programme chiefs/heads, teaching staff, administration staff, and adjunct staff.

Community

The university has a strong community of alumni, industry partners, and people. The university also hosts various events and happenings, including seminars, conferences, and graduate programme preview talks and roadshows.

Course Details

The course "Processing Big Data for Analytics" is part of the Graduate Certificate in Big Data Analytics. The course covers:

• Structuring Big Data Projects for Analytics
• Designing a strategy to harness big data
• Data Readiness Evaluation
• Data pipelines and their importance
• Feature Engineering
• Model Development & Monitoring
• Model Aggregation

The course is designed for analytics professionals and managers seeking to learn about structuring a big data project. The course prerequisites include Big Data Engineering for Analytics or equivalent knowledge, and Python knowledge is strongly desirable.

Instructors

The course instructors include Dr. LIU Fan, Senior Lecturer & Consultant, Software Systems Practice, and Mr. Dave HO, Principal Lecturer & Consultant, Data Science Practice.

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, tablet, etc.) with power charger to access and download course materials. The course venue is NUS-ISS, 25 Heng Mui Keng Terrace, Singapore.