SCTP Data Science Professional
Make data your superpower. Switch to one of Singapore’s hottest tech careers.
Pay little or no cash with government subsidies:
Companies that Hire Our Graduates
Overview
Do you know that Singapore is one of the top 10 highest paying countries for Data Analysts
Whether you’re looking to pivot into tech, level up your current role, or kick-start your first job, data science opens doors across every industry—from finance and healthcare to logistics and marketing.
The SCTP – Data Science Professional Programme at BELLS Tech is your all-in-one launchpad.
No coding background? No problem. This hands-on course is built to take you from beginner to job-ready, equipped with tools like Python, SQL, Power BI, and Orange AI.
Upcoming Class Starts
Course Duration
217.5 hours (Part Time)
Learning Format
Classroom Based
Facilities and Locations
How much does a Data Scientist Earn in Singapore
Who Should Attend this Programme?
- Mid-career professionals seeking a high-growth tech transition
- Fresh graduates or NSF exploring data-driven careers
- Jobseekers looking to break into tech with in-demand certifications
- Professionals in marketing, finance, operations, or HR who want to use data effectively in their roles
Data Scientist Course Overview
This programme covers the full data science journey—from foundational statistics and data cleaning to Python programming, machine learning, big data tools, and data visualisation. Learners will also sharpen their problem-solving and communication skills, ensuring they graduate with both technical expertise and the ability to present insights effectively.
Introduction to Data Science, Probabilities and Statistics
Start with the big picture—what data science is, how it works, and where it applies. You’ll explore different data types, the tools data scientists use, and dive into the essentials of probability and statistics. Learn how to test hypotheses, run regressions, and analyse time-based data to build a strong analytical foundation.
Data Exploration, Cleaning & Programming for Data Science
Learn how to make raw data usable and reliable. This module covers data structures, cleaning techniques, and outlier handling, followed by hands-on programming with Python. You’ll use libraries like NumPy, Pandas, Matplotlib, and Seaborn to explore, manipulate, and visualise data confidently.
Machine Learning
Get practical with machine learning by understanding and applying both supervised and unsupervised techniques. Learn popular algorithms like logistic regression, decision trees, clustering, and even deep learning. You’ll also develop the critical skill of selecting the right model and evaluating its performance in real-world scenarios.
Unlocking the Competitive Edge with Big Data
Step into the world of big data. Learn how to store, manage, and process large-scale datasets using technologies like Hadoop, Spark, MongoDB, and Kafka. You’ll also work with SQL databases like MySQL and PostgreSQL and gain insights into data warehousing and real-time data pipelines.
Data Visualisation & Data Storytelling
Master the art of turning numbers into narratives. This module teaches you how to visualise data using tools like Tableau and D3.js, build dashboards, and design visuals that inform and influence. You’ll create interactive, compelling data stories tailored to decision-makers.
Problem Solving for IT Professionals
Develop structured thinking and a solution-oriented mindset. This module focuses on identifying problems, analysing root causes, and designing effective tech-based solutions—core skills for any data-driven professional in today’s fast-changing industries.
Communication Skills for IT Professionals
Learn how to present your data and ideas clearly across teams and stakeholders. You’ll improve your verbal, written, and visual communication skills, enabling you to deliver technical insights with clarity and influence in a business environment.
Course Fee & Government Subsidies
|
(SCTP) Data Science Professional
TGS-2023021704 Validity Period : 12 July 2023 – 31 January 2027 217.5hours | Classroom-based |
Full Course Fee
Before subsidies |
SG Citizen
(21-39 years old) or SG PR SkillsFuture Funding (Baseline) |
SG Citizen
(Above 40 years old) SkillsFuture Mid-Career Enhanced Subsidy |
SG Citizen
Eligible for Additional Funding Support |
|---|---|---|---|---|
|
Course Fee
|
$11,136.00
|
$11,136.00
|
$11,136.00
|
$11,136.00
|
|
SkillsFuture Funding
|
$0.00
|
($7,795.20)
|
( $10,022.40)
|
( $10,579.20)
|
|
Total Nett Fee
|
$11,136.00
|
$3,340.80
|
$1,113.60
|
$556.80
|
|
GST @9%
|
$1,002.24
|
$300.67
|
$300.67
|
$300.67
|
|
Total Fee Payable
|
$12,138.24
|
$3,641.47
After 70% course fee subsidy |
$1, 414.27
After 90% course fee subsidy |
$857.47
After 95% course fee subsidy |
Please note: As per SSG’s policy, the GST payable for all funding-eligible applicants is calculated based on prevailing GST rate after the baseline funding subsidy of 70%.
Terms and Conditions
- SkillsFuture Funding (Baseline) Subsidy – Eligible Singapore Citizens aged 21–39 years old and PRs can enjoy up to 70% course fee subsidies.
- SkillsFuture Mid-Career Enhanced Subsidy (MCES) – Eligible Singapore Citizens aged 40 years old and above can enjoy up to 90% course fee subsidies.
- Additional Funding Support (AFS) – Eligible Singapore Citizens that meet at least one of the following eligibility criteria can enjoy up to 95% course fee subsidies:
- Long-term unemployed individuals (unemployed for six months or more)
- Individuals in need of financial assistance – ComCare Short-to-Medium Term Assistance (SMTA) recipients or Workfare Income Supplement (WIS) recipients
- Persons with Disabilities
Remarks
- Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.
- Eligible Singapore Citizens can use their PSEA (Post Secondary Education Account) funds to offset course fee payable after funding.
- Eligible NTUC – UTAP funding for NTUC members
Funding and Subsidies Information
Singaporean Citizens Aged
21-24
~ $3,000
PSEA Funding accumulated by 2025
$5,000
PSEA Funding for ITE graduates aged 30 and below when enroll in a Diploma Programme*
Singaporean Citizens Aged
25-39
$500
Opening SkillsFuture Credit for all Singaporean that does not expire
$500
One-time top-up in 2020, expires at the end of 2025
$5,000
PSEA Funding for ITE graduates aged 30 and below when enroll in a Diploma Programme*
Singaporean Citizens Aged
40+
$500
Opening SkillsFuture Credit for all Singaporean that does not expire
$500
One-time top-up in 2020, expires at the end of 2025
$4,000
SkillsFuture Credits (Mid-Career) that does not expire
Understand Your Course Fee Deduction
Terms and conditions apply. For more information, please approach our staffs to understand the courses and individual eligibility of course funding.
Full Course Fee
Singapore Citizens aged 25 and
above can utilize SkillsFuture Credits in addition to existing government subsidies for approved courses.
Singapore Citizens aged 21 to 31 can use funds from their Post-Secondary Education
Account (PSEA) to support eligible education and training expenses.
WSQ Course
Singaporeans and PRs aged 21-39 get a 50% subsidy, while those 40 and above receive 70%.
SCTP Programme
Singaporeans and PRs aged 21-39 get a 70% subsidy, while those 40 and above receive 90%.
A 95% subsidy is available for the long-term unemployed, financial aid recipients (ComCare SMTA or WIS), and persons with disabilities.
For more information, please refer:
https://bit.ly/3Dnmlo4
SkillsFuture Credit Eligible
A $500 opening SkillsFuture Credit is given to all Singaporeans once they reached 25 years old.
Additional $4000 Mid-Career Support
In the year that you turn 40 years old, you will qualify for the SkillsFuture Credit (Mid-Career Support) of $4,000.
For more information, please refer:
https://bit.ly/3FallnV
NTUC UTAP Funding Eligible
NTUC Union members aged 21-39 years old can enjoy a further course fee deductions up to $250 caps per year and $500 for those who aged 40 and above.
For more information, please refer:
https://bit.ly/3DnmlyY
Learners Review
A very apt and engaging course which is relevant in the current social setup, with AI + ChatGPT usage within social media.
Phang Tee Hwee Sharon
SMM AI (March 2025)
Learnt in depth even for Excel, when I did not know such features existed. PowerBI, MySQL and Orange widened my knowledge a lot.
Jayasim
April 2025- Data and Digital Analytics
This course provides me an opportunity to enhance my knowledge and skills using RPA and find ways to apply them into my work to increase productivity.
Cheong Kok Foong
April 2025 – Robotic Process Automation
This course provided sufficient knowledge and skills for us to use ChatGPT for either our personal use or work purposes. There are variations of activities during the class to ensure we are given time to practice and keep us interested.
Chok See San
May 2025 – Digital Transformation in the Era of 5G & AI
Kenny was a pro at conducting the DDA class and kept us engaged and informed throughout. I’m glad to have attended this course and walk away with a better understanding of data analytics and I’m excited to apply my new skills to level up at work.
Sangita Arul
May 2025 – Data and Digital Analytics
5 Reasons to Upskill with BELLS
👥 Strong Alumni-hub
Join a thriving community of over 140,000 graduates who’ve trusted BELLS Tech to transform their careers. Our alumni success stories speak volumes about the credibility and impact of our programmes.
👨🏻🏫 Face-to-Face Learning That Works
Get off the sidelines and into the classroom. Our instructor-led, in-person sessions offer direct interaction, immediate feedback, and a more focused, immersive learning experience.
🎯 1:1 Career Coaching & Personal Branding Support
You’re not just upskilling—you’re planning your next move. Receive dedicated career coaching to craft a compelling resume, write impactful cover letters, and optimise your LinkedIn profile to showcase your newly gained tech expertise.
🧠 Industry-Expert Trainers
Learn from seasoned professionals who live and breathe the tech industry. Our industry-aligned courseware ensures you’re equipped with the exact skills employers are hiring for today.
💻 Hands-On, Job-Ready Skills
Theory is just the beginning. Build confidence through project-based learning, real-world simulations, and case studies that translate directly to on-the-job performance.
Why Choose BELLS
BELLS Tech combines structured learning, hands-on skill-building, and personal career support—so you’re not just certified, you’re job-ready.
FAQs
What are the salaries for different types of Data Analyst jobs?
| Types of Data Analyst jobs | Average Annual Salary (USD) |
| Quantitative Analyst | 1,47,590 |
| Data Warehouse Architect | 1,29,448 |
| Data Engineer | 1,28,543 |
| Software Engineer | 1,05,195 |
| Database Developer | 1,02,410 |
| SQL Developer | 91,362 |
| Business Analyst | 84,578 |
| Market Analyst | 83,372 |
| Systems Analyst | 83,022 |
| Database Administrator | 76,036 |
| Financial Analyst | 77,105 |
Source : Instarem
What would be the minimum entry requirements?
3 GCE ‘O’ Level Passes including English Language with C6 pass or Higher Nitec or Equivalent.
Be able to listen, speak, read and write English at a proficiency level equivalent to WSQ Workplace Literacy (WPLN) Level 4.
What are the funding eligibility criteria?
- Singapore Citizens or Singapore Permanent Residents or LTVP+ holder
- Trainees must achieve at least 75% attendance.
- Trainees must pass all prescribed tests / assessments and attain 100% competency.
- BELLS Institute of Higher Learning reserves the right to claw back the funded amount from the Trainee if he/she did not meet the eligibility criteria.
How is the training conducted?
The course will be conducted in the classroom and facilitated by experienced trainers. Online self-paced learning is planned outside total in-class training hours.Participants will be assessed via a mix of questionnaires, projects and portfolio building.
What is the class duration and frequency?
- Total in-class training of 217.5 hours
- 4 months (Part time) – Mondays & Wednesdays ( 7pm to 10pm ) and Saturdays (9am to 6pm )
What kind of career support would I receive?
Get one-on-one support to craft a standout resume, cover letter, and LinkedIn profile that showcase your newly acquired skills—while aligning your past experience and transferable strengths to your target role in tech.
Who are the instructors?
Our instructors are seasoned data science professionals with advanced qualifications and diverse industry experience. With strong foundations in statistics, Python, SQL, and BI tools, they bring real-world expertise from tech, finance, and academia. They’re passionate educators skilled in translating complex data into actionable insights through engaging, hands-on teaching.
Start Your Data Science Journey Today
Make data your competitive edge. This industry-recognised programme empowers you to transform raw data into powerful insights—no prior tech experience needed.
👉 Upskill now and for a future-proof career
