(SCTP) Advanced Professional Certificate in Data Science and AI (Eligible for Part-Time TA)
About This Course
According to recent 2025 market analyses, the global AI market has surged past $240 billion, nearly doubling its 2022 value. It is now projected to expand at a compound annual growth rate (CAGR) of approximately 28% to 34%, potentially reaching over $1 trillion by 2031 as industries integrate agentic and multimodal AI into core operations.
Singapore remains a global leader in AI readiness, ranking first among 109 countries in AI maturity in 2025 (Coursera/EDB). Under its National AI Strategy 2.0, the government aims to triple the local AI practitioner pool to 15,000 by 2026. Demand for AI-specific roles—particularly AI Scientists and Engineers—has seen a 40% increase, significantly outstripping general tech hiring.
This course prepares learners for careers in Data Science, Data Engineering, Machine Learning, and AI. Emphasising practical applications and hands-on experience, the course equips learners to excel as data specialists in these rapidly evolving sectors.
Learners will engage in real-world case studies and capstone projects, addressing actual industry challenges. They will also have access to resources such as discussion groups, and mentorship from seasoned professionals.
In summary, this course offers an exceptional learning opportunity for those seeking a career in AI and data science, equipping learners with the knowledge and skills to thrive in these dynamic industries.
What You'll Learn
● Analyze and manipulate data effectively using Python and SQL.
● Create and manage databases for data storage and retrieval.
● Conduct exploratory data analysis to extract meaningful insights.
● Visualize data to communicate findings and trends.
● Apply data science techniques to solve practical problems.
● Deploy an ML model version via API or web app for inference or serving.
Entry Requirements
Familiarity with Python programming language, at a basic to intermediate level. At least an understanding of and ability to code the following concepts: variables, data types, operators, control structures, loops, built-in methods and functions, classes, and objects.