Students
Tuition Fee
Start Date
2026-02-09
Medium of studying
Duration
4 days
Details
Program Details
Degree
Courses
Major
Data Science | Database Management | Information Systems
Area of study
Information and Communication Technologies
Course Language
English
Intakes
Program start dateApplication deadline
2026-02-09-
About Program

Program Overview


Overview of University Programs

The university offers a range of programs designed to build capabilities in infocomm and digital business. These programs are categorized into several 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 Programs

The university offers five practice-based graduate programs 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 Programs

The university offers stackable programs as an alternative pathway to continuing education without disrupting one's career. These programs 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 Programs

The Blended Learning Programs provide individuals with the flexibility to learn over their own time and pace while achieving their academic and career goals. These programs include:


  • About
  • Programmes
  • Digitalisation Passport

Corporate Programs

The university works with organizations to provide contextualized workplace training or customized learning experiences for their employees. These programs include:


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

Course Details: Information Architecture for Data-driven Insights

Overview

This course intends to equip software engineers, data engineers, team leads, and architects with skills to integrate multiple disparate large-scale data sources to enable derivation of data-driven insights.


Key Takeaways

Upon completion of the course, participants will be able to:


  • Establish an enterprise-wide digital data strategy and information architecture
  • Conceptualize transaction systems, data warehouse, and data lake architecture to support systems of record, systems of engagement, and systems of insight aligned to business objectives
  • Perform data inventory and data modeling, which includes conceptual, logical, and physical design
  • Evaluate suitable database technology and tools based on business and technical requirements
  • Protect data assets by performing threat modeling and implementing security controls to comply with enterprise data governance policy, standards, and regulation

Who Should Attend

This is an intermediate course, suitable for professionals with relevant experience and an interest or requirement to understand engineering for big data. The target course participants are primarily software engineers, data engineers, team leads, and architects seeking to enhance their skills in the area of information architecture and design of data warehouse and data lake.


Prerequisites

Participants should have 2-3 years of software design and/or development or data design and/or administrative experience and/or equivalent knowledge. Participants are required to take a pre-course assessment and must clear the assessment.


What Will Be Covered

This course will cover:


  • Overview of Information Architecture
  • Information Architecture for Transactional System
  • Information Architecture for Data Warehouse
  • Information Architecture for Data Lake
  • Modeling non-relational structured data – Document and Graph Databases
  • Data Management, Protection, and Security

Certificate

Participants have to meet a minimum attendance rate of 75% and are required to pass the assessment to be issued a Certificate of Completion.


Instructors

The course instructors are Dr. Suriya Priya ASAITHAMBI and Dr. Venkat RAMANATHAN, both Principal Lecturers & Consultants in the Software Systems Practice.


Preparing for Your Course

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. The minimum and recommended technical specifications for the device are provided. WIFI access will be made available to participants. The course confirmation, venue, and general enquiry details are also provided.


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