(SCTP) NUS Data Engineering Programme

SkillsFuture Career Transition Programme (SCTP)

TGS Code: TGS-2026065033

Programme Structure

Course Name	Course Schedule	Mode of Delivery	TGS Reference Number
Python Programming Fundamentals (SCTP)	4 and 5 January 2027 \| 9 am - 5.30 pm	Classroom Learning	TGS-2026065154
SQL and Database (SCTP)	6 January 2027 \| 9 am - 5.30 pm	Classroom Learning	TGS-2026065153
Data Management and Governance (SCTP)	11 January 2027 \| 9 am - 5.30 pm	Classroom Learning	TGS-2026065152
Data Architecture for Modern Solutions (SCTP)	18 January 2027 \| 9 am - 5.30 pm	Classroom Learning	TGS-2026065151
Modern Data Storage (SCTP)	25 January 2027 \| 9 am - 5.30 pm	Classroom Learning	TGS-2026065314
Data Ingestion and Transformation (SCTP)	1 February 2027 \| 9 am - 5.30 pm	Classroom Learning	TGS-2026065150
Ingestion, Security and Scaling (SCTP)	11 February 2027 \| 9 am - 5.30 pm	Classroom Learning	TGS-2026065149
Data Pipeline Design (SCTP)	18 February 2027 \| 9 am - 5.30 pm	Classroom Learning	TGS-2026065148
Build and Manage Data Pipelines (SCTP)	26 February 2027 \| 9 am - 5.30 pm	Classroom Learning	TGS-2026065318
End-to-End Machine Learning (SCTP)	2 March 2027 \| 9 am - 5.30 pm	Classroom Learning	TGS-2026065317
Capstone Project for Data Engineering (SCTP)	12, 15 and 22 March 2027 \| 9 am - 5.30 pm	Classroom Learning	TGS-2026065316

Programme Overview

This programme equips participants with the essential knowledge and practical expertise required for a Data Engineer role in modern data-driven environments. Through a structuredlearning pathway, participants gain strong foundations in Python programming and structured query language (SQL) before progressing into advanced data architecture, ingestion,transformation, storage and scalable data pipelines. The curriculum emphasises efficient data management and governance practices, and secure data handling at scale.

Participants develop hands-on capabilities by working with data sources, building automated data pipelines for machine learning workflows to support downstream initiatives. By theend of the programme, participants will be able to design, deploy, and maintain robust data engineering solutions aligned with enterprise standards.

A final capstone project brings together all the skills gained, enabling participants to showcase a production-ready, end-to-end data engineering solution that demonstrates readinessto contribute effectively in the field.

This SCTP consists of 11 modules:

Programme Objectives

By the end of this programme, participants will be able to:

Apply core Python programming concepts to automate data processing
Design, query, and manage relational databases using SQL
Implement data governance and quality practices to ensure compliance
Architect modern, scalable, and cloud-ready data solutions
Evaluate and apply modern data storage systems for performance and accessibility
Develop robust data ingestion and transformation workflows
Implement secure and scalable data ingestion and transformation pipelines
Build, deploy, and maintain automated pipelines that support downstream use cases
Build and deploy an end-to-end data engineering project demonstrating real-world problem-solving

Job Role Readiness

Data Engineers across any sector

Prerequisites

The minimum entry requirement for this programme is a diploma.

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Funding Available

SkillsFuture Funding

SkillsFuture Credit

Instructors

Dr Ganesh Neelakanta Iyer

Ms Samantha Sow

Dr Amirhassan Monajemi

Dr Ai Xin

Programme Fees

Singapore Citizens		Singapore PRs	Full Course Fee (after 9% GST)
39 years old or younger	40 years old or older	Singapore PRs	Full Course Fee (after 9% GST)
S$4,381.80	S$1,701.80	S$4,381.80	S$14,606.00

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 SCTP courses as part of this programme and must complete all 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.

Dr Ganesh Neelakanta Iyer

Ms Samantha Sow

Dr Amirhassan Monajemi

Dr Ai Xin

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