Advanced Certificate in Data Analytics in Digital Economy
- Analytics & Tech
- Innovation & Business Improvement
12 Full Days (Weekdays)
Overview
Proficiency in data analytics has become essential for success in today's competitive landscape. Organisations rely on insights gleaned from data to make informed decisions, drive innovation, and stay ahead of the curve. The ability to collect, clean, analyze, and interpret data is paramount.
This certificate programme is designed to equip participants with the necessary skills and knowledge to thrive in the rapidly evolving digital economy. From mastering statistical techniques, big data management, predictive modelling to harnessing the power of machine learning algorithms, participants will learn how to unlock the potential of data to solve real-world problems and drive business growth.
Topic/Structure
To achieve the Advanced Certificate in Data Analytics in Digital Economy, participants will need to complete the following modules offered by SMU Academy:
Module 1: Introduction to Data Analytics in the Digital Economy
Module 2: Data Collection and Preprocessing Techniques
Module 3: Statistical Analysis and Machine Learning for Business Insights
Module 4: Big Data Management and Visualisation Tools
Module 5: Predictive Modeling and Decision Making
Module 6: Ethical Considerations in Data Analytics
Assessment
As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of every module. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.
Participants are required to attain a minimum of 75% attendance and pass the associated assessment for each of the 6 modules within 3 years in order to be awarded the digital Advanced Certificate in Data Analytics in Digital Economy issued by Singapore Management University.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$3,924 (After SSG Funding 70%) |
$1,524 (After SSG Funding 70% |
$3,924 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$1,524 (After SSG Funding 70% |
$1,524 (After SSG Funding 70% |
$1,524 (After SSG Funding 70% |
|
International Participant |
$13,080 (No Funding) |
$13,080 (No Funding) |
$13,080 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Intake Information
| MODULES | DATES |
|---|---|
| Module 1: Introduction to Data Analytics in the Digital Economy | 2 - 3 Feb 2026 [Open for Registration] |
| Module 2: Data Collection and Preprocessing Techniques | 23 - 24 Mar 2026 [Open for Registration] |
| Module 3: Statistical Analysis and Machine Learning for Business Insights | 20 - 21 Apr 2026 [Open for Registration] |
| Module 4: Big Data Management and Visualisation Tools | 18 - 19 May 2026 [Open for Registration] |
| Module 5: Predictive Modeling and Decision Making | 15 - 16 Jun 2026 [Open for Registration] |
| Module 6: Ethical Considerations in Data Analytics | 13 - 14 Jul 2026 [Open for Registration] |
*Online registration will close 5 calendar days before the course start date
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