Specialist Diploma in Applied AI (Data Analytics) (SDAAD)

Training Provider: Ngee Ann Polytechnic
Course Reference: TGS-2026066153
S$10,110

About This Course

The Specialist Diploma in Applied AI (Data Analytics) (SDAAD) prepares working adults and mid-career professionals to step into data-centric roles such as data analyst or business analyst through a structured 1‑year, part-time pathway. Covering Python programming for analytics, data visualisation and storytelling, data preparation and modelling, and machine learning, the course emphasises real-world application so that learners can derive actionable insights and support evidence-based decision making in their organisations. Graduates may leverage the qualification for further study, including credit exemptions towards programmes such as NUS’ Bachelor of Information Technology and SUTD’s Modular Masters in Data Science, as well as other recognised specialist diplomas pathways.

What You'll Learn

The SDAAD course aims to equip learners with the knowledge and practical skills to navigate employment opportunities in data visualization, data exploratory and preparation, and machine learning. Through hands-on practice with analytical tools and AI-assisted coding, learners will wrangle data, develop analytical insights, and uncover meaningful patterns to make data-driven decision-making.

Entry Requirements

Applicants must possess a diploma or higher qualification from local Polytechnics/Universities in any discipline or at least 1 year of relevant work experience.

Applicants with other equivalent qualifications will be considered case-by-case based on relevant work experience.

Other requirements:
•Learners enrolled into the course are expected to bring along their personal laptop
•Basic IT literacy, including operating system navigation, digital file management (creating, saving, organizing), and the use of standard productivity software (e.g., Microsoft Office, Google Workspace), is expected of participants.
•In addition, learners must be adept at using web browsers for research and communicating through email and video conferencing technologies (MS Teams).

Course Details

Duration 300 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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