(SCTP) NUS Data Intelligence and Business Analytics Programme

SkillsFuture Career Transition Programme (SCTP)

(SCTP) NUS Data Intelligence and Business Analytics Programme

Programme Structure

Course Name	Course Schedule	Mode of Delivery	TGS Reference Number
(SCTP) Using Business Analytics to Answer Business Questions	1 and 2 September 2026 \| 9 am - 5.30 pm	Synchronous e-Learning	TGS-2024046917
(SCTP) Descriptive Analytics	7, 9 and 11 September 2026 \| 9 am - 5.30 pm	Classroom Learning	TGS-2024046836
(SCTP) Applied Analytics Using Predictive Modelling	Coming soon. Register your interest now!	Classroom Learning	TGS-2024046918
(SCTP) Python Programming	Coming soon. Register your interest now!	Classroom Learning	TGS-2024046835
(SCTP) Prescriptive Analytics – From Data to Optimal Course of Action	Coming soon. Register your interest now!	Classroom Learning	TGS-2024046834
(SCTP) Trisector Strategy and Innovation for Transformation (Problem Setting)	Coming soon. Register your interest now!	Classroom Learning	TGS-2024046833
(SCTP) Trisector Strategy and Innovation for Transformation (Data Collection and Analysis)	Coming soon. Register your interest now!	Classroom Learning	TGS-2024046837
(SCTP) Trisector Strategy and Innovation for Transformation (Idea Generation and Strategy Consolidation)	Coming soon. Register your interest now!	Classroom Learning	TGS-2024046832

The programme commences on 21 September 2026. Applicants must register for all eight SCTP courses.

Programme Overview

In this dynamic landscape, we can position ourselves by staying up to date with emerging technologies and continuously improving our data-driven decision-making abilities.

The NUS School of Computing (SOC) offers the Data Intelligence & Business Analytics Programme as a suite of short courses to prepare trainees for job roles such as Business Analyst, Data Analyst, Data Architect, or Associate Data Engineer. Throughout the programme, students will gain an understanding of the analytical techniques and tools used in data science and learn how to apply these tools to projects. By the end of the programme, students will have the ability to interpret business specifications, turn insights into creating business value for organisations, and contribute to their organisation’s growth and success.

The Data Analytics Programme consists of 8 modules:

Programme Objectives

This programme will equip the participants with the following skills:

Understand Business Intelligence
Understand the functionalities of PowerBI for Business Intelligence
Learn the tools and techniques to perform data preparation
Understand how to make use of tools to perform data exploratory analysis
Understand how to embark on a data mining project
Understand the fundamental key concepts of various predictive analytics techniques
Acquire basic proficiency in popular data analytics tools such as R
Build a strong foundation in the fundamentals of Python programming
Learn to use libraries such as Numpy and pandas in the Python API
Understand how to model business problems for optimisation, interpret sensitivity analysis and shadow prices
Problem Setting, Data Collection and Analysis and Idea Generation and Consolidated Strategy

Job Role Readiness

Business / Intelligence Analyst
Data Analyst

Prerequisites

General Diploma

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Funding Available

SkillsFuture Funding

SkillsFuture Credit

Instructors

A/Prof Danny Poo

Dr Lek Hsiang Hui

Ms Samantha Sow

Dr Prakash Chandra Sukhwal

Dr Vivek Sundar Magesh

Programme Fees

Singapore Citizens		Singapore PRs
39 years old or younger	40 years old or older	Singapore PRs
S$5,575.35	S$2,165.35	S$5,575.35

Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
Participants must fulfill at least 75% attendance and pass all assessment components for all short courses in order to be eligible for SSG funding.
The applicable funding is for Singaporeans and Singapore PRs. This is subject to change and in accordance with SSG funding guidelines as of course commencement.
Applicants are required to register for all eight SCTP courses as part of this programme and must complete all eight courses during this intake.
Please refer to our Terms and Conditions page for more information.

Other Information

The SkillsFuture Career Transition Programme (SCTP) helps mid-career individuals build industry-relevant skills to boost employability and transition into new sectors or roles. Interested in learning more about the SCTP? Explore the FAQ to find answers to common questions, including programme details, eligibility criteria and funding.