(SCTP) Advanced Professional Certificate in Data Analytics (Classroom, Synchronous and Asynchronous E-Learning)

(SCTP) Advanced Professional Certificate in Data Analytics (Classroom, Synchronous and Asynchronous E-Learning)

Course Provider

NTU Academy for Professional and Continuing Education

Certification

SkillsFuture Career Transition Programme

Academic Unit

0.0

Introduction

The exponential growth of the internet, globalization and the pandemic have accelerated the push for digital transformation in all sectors.   Companies have pivoted and reinvented themselves to remain relevant.  Much of this transformation involve changing processes and workflow to gain efficiencies, productivity and competitive advantages, leading to increase revenues and profitability. Businesses started to make investments in technology and retrained their workforces to support those new processes and workflows.

A result of the digital transformation was a dramatic increase in the types and quantities of data they began to accumulate. These businesses soon realised that they could use the deep understanding of that data for competitive and even absolute advantages.  However, the realisation that whilst they had skilled managers and engineers, there was a need for the skill to now work with the data they had.

There is a new driver for sustainable employability and that is Data and Information Literacy.  The data and information literate professional does more than just crunch numbers.  The expectation is for data professionals to add value by bringing their domain knowledge – engineering, finance, logistics, etc. – into data activities like data sourcing, wrangling, management, analysis and communication.

“Data literacy Is the ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied; and the ability to describe the use case, application and resulting value.” – Gartner

In a nutshell, being data and information literate is about being able to:

  • Seek out, acquire and manage the data that is going into the organization, used within the organization and communicated by the organization.
  • Analyze and interpret data.
  • Report and present the findings or insights through dashboards and other means.

The majority of companies today realize the value of a data-driven business and are in need of talented individuals to provide insight into the constant stream of collected information. The demand for data literate professions will only grow as we continue to digitize our physical world.

This part-time train-and-place programme, formerly known as (SCTP) Data and Information Analysis Literacy Upgrading Programme (Dial-Up), is facilitated over a period of approximately 3 months. Interested applicants are requested to view criteria under  'Who Should Attend' before applying.




Course Availability

  • Date(s): 19 Jan 2026 to 30 Apr 2026

    Venue: NTU@one-north

    Registration Closing Date: 29 Dec 2025

This programme has been designed by industry professionals and practitioners to upgrade existing capabilities with the practical aspects of data mining and preparation, data analysis and visualization.

Through guided hands-on work and instruction, trainees will gain the knowledge on how to apply the core aspects of dealing with data that they will find themself in any job and role, and in any industry.
A background in IT is not necessary but preferable. This course is designed to cater to the intricacies of analytics. Hence, individuals with a background in this discipline bring valuable prior knowledge that will enhance their learning experience and understanding of the curriculum. Applicants will be required to undergo a shortlisting process where they must share their resume and complete a pre-course assessment. Our instructors and career consultants will review applicants to assess their suitability before deciding whether to shortlist them for the course.

Standard Course Fee: S$8175

Nett Fee Payable including GST Full Fee: $8,175
SC and PR (70% funding): $2,452.50
SC 40 and above (90% funding): $952.50
Additional Course Fee Funding Support (95% funding): $577.50

Kwang Yong Francis Tay


Mr Kan Hwa Heng

Kan Hwa Heng


Ms Khoo Seok Teng

Khoo Seok Teng