Professional Certificate in Data Engineering Foundations

Professional Certificate

Professional Certificate in Data Engineering Foundations

Programme Structure

Course Name	Course Schedule	Mode of Delivery	TGS Reference Number
Data Engineering Fundamentals	22 and 29 January 2027 \| 9 am - 5.30 pm	Classroom Learning	TGS-2025056531
Python for Data Engineering	10 and 11 November 2026 \| 9 am - 5.30 pm	Classroom Learning	TGS-2025057635
Databases for Data Engineering	22 and 23 February 2027 \| 9 am - 5.30 pm	Classroom Learning	TGS-2025056763

Programme Overview

The Professional Certificate in Data Engineering Foundations provides a strong foundation for individuals entering the field. Participants gain a comprehensive understanding of core concepts like data pipelines, lifecycles, and various data formats, while also differentiating between data engineer, data scientist, and data analyst roles. The programme equips participants with essential Python programming skills tailored for data manipulation, acquisition, and ingestion within data engineering tasks, including the ability to work with relevant APIs and libraries. Finally, the programme explores the crucial role of databases, teaching participants how to leverage Python for database connections and master advanced SQL concepts like stored procedures, ACID transactions, and joins, enabling effective database interaction. Upon completion, participants will possess a good foundation in data engineering principles, essential Python skills for data engineering tasks, and database handling skills, preparing them for further exploration within the field.

Programme Objectives

This Professional Certificate will equip learners with the following competencies:

Foundations of data engineering ecosystem and lifecycle
Essential Python skills for data engineering
Role of databases in data engineering and advanced Structures Query Language (SQL) concepts needed for a data engineer

This programme will prepare learners for roles in data analysis, data engineering and data science. Course participants will learn about core data engineering concepts and the foundational requirements needed to become data engineers.

Job Role Readiness

It will prepare learners for the following job roles :

Data Analysts
Data Engineers
Data Scientists

Prerequisites

Diploma Holder

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Funding Available

SWDA Funding

Enhanced Training Support

SkillsFuture Credit

SFEC

PSEA

Programme Fees

Singapore Citizens		Singapore PRs	Enhanced Training Support for SMEs	International Participants
39 years old or younger	40 years old or older	Singapore PRs	Enhanced Training Support for SMEs	International Participants
S$3,363.00	S$2,223.00	S$3,363.00	S$2,223.00	S$6,213.00

Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
Participants must fulfill at least 70% attendance and pass all assessment components for all short courses within a professional certificate in order to be eligible for SWDA funding.
The applicable funding is for Singaporeans and Singapore PRs. This is subject to change and in accordance with SWDA funding guidelines as of course commencement.
For more information on class cancellations and refunds, please visit our Terms and Conditions page.

NOTE

As AI and emerging technologies continue to reshape industries and transform workforce skill requirements, we are refreshing our programme portfolio to ensure our offerings remain relevant, responsive, and aligned with evolving industry needs.

As outlined on our website since December 2025, the Advanced Professional Certificate (APC) and Professional Certificate (PC) programmes will be phased out by June 2026. As part of this transition, we are developing and introducing new courses and learning opportunities to help learners acquire the skills needed to thrive in a rapidly changing environment. A selected number of existing individual courses will also continue to be offered.

To explore our upcoming courses and learning opportunities, please visit: https://www.comp.nus.edu.sg/executive-education/upcoming-courses/. For any enquiries, please contact us at socx@nus.edu.sg.

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