Advanced Certificate in Applied Data Science and Analytics (II)
- Analytics & Tech
- Innovation & Business Improvement
15 Days
Who Should Attend
- Ideal for non-data analysts in various industries using Excel for data work. Requires basic Tableau/Power BI skills or similar data handling exposure.
- Enhances digital literacy for competent business or data analyst roles.
PREREQUISITES
This programme is structured to provide a comprehensive learning experience. Participants are required to sign-up for all five (5) modules and complete the modules in the designated sequence to ensure a solid understanding of each topic before moving on to the next.
Overview
The Advanced Certificate in Applied Data Science and Analytics (II) is a hands-on, five-module programme designed to build practical data science capabilities for the workplace.
Participants will begin with foundational statistics and data processing using Excel, then progress to visual analytics with Tableau, followed by data transformation and feature engineering techniques for both structured and unstructured data. They will then explore core machine learning algorithms using Python, and finally, apply their skills in a capstone practicum that simulates real-world data projects.
The programme equips professionals with the technical tools and analytical mindset needed to turn data into actionable insights and drive organisational value.
Topic/Structure
To achieve the Advanced Certificate in Applied Data Science and Analytics (II), participants will need to complete the following modules offered by SMU Academy:
Module 1: Advanced Machine Learning
Module 2: Generative AI and its Applications
Module 3: Data Science Project and Model Management
Module 4: Ethical and Sustainable Data Science
Module 5: Practicum Using Machine Learning and Generative AI Models and Tools
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 5 modules within 3 years in order to be awarded the digital Advanced Certificate in Applied Data Science and Analytics (II) 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+
|
$4,905 (After SSG Funding 70%) |
$1,905 (After SSG Funding 70% |
$4,905 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$1,905 (After SSG Funding 70% |
$1,905 (After SSG Funding 70% |
$1,905 (After SSG Funding 70% |
|
International Participant |
$16,350 (No Funding) |
$16,350 (No Funding) |
$16,350 (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: Advanced Machine Learning | 3 - 6 Feb 2026 [Upcoming Schedule] |
| Module 2: Generative AI and its Applications | 9 - 11 Mar 2026 [Upcoming Schedule] |
| Module 3: Data Science Project and Model Management | 6 - 8 Apr 2026 [Upcoming Schedule] |
| Module 4: Ethical and Sustainable Data Science | 27 - 29 Apr 2026 [Upcoming Schedule] |
| Module 5: Practicum Using Machine Learning and Generative AI Models and Tools | Session 1: 2 May 2026 (9am-11am) |
*Online registration will close 5 calendar days before the course start date
