Course Details

Class schedule

PDC1 (1^st semester, 120 hours):

• Every Tue and Thu
• 6:30pm – 9:30pm (face-to-face class)
• Asynchronous e-learning*

PDC2 (2^nd semester, 120 hours):

• Every Tue 7:30pm – 8:30pm (online class**)
• Every Thu 6:30pm – 9:30pm (face-to-face class)
• Asynchronous e-learning*

*Asynchronous e-learning: you are not required to attend face-to-face lessons.

**online class: the students may attend from any location of their choice.

Modules in this course conduct in-class tests, typically in the last week of each 7-week or 8-week term in the SP academic calendar. Attendance at these tests is compulsory. You are strongly advised against scheduling any travel plans during mid-semestral (MST) or end-semestral (EST) weeks. Detailed information regarding test schedules can be found on the website.

Course Duration: 
240 hours (1 year)

• Apply statistics and programming fundamentals for predictive analytics and data science
• Prepare, manage, and analyse structured and unstructured datasets for business insights
• Build and deploy predictive models using statistical modelling and machine learning techniques
• Perform forecasting and risk quantification to support strategic decision-making
• Use predictive analytics methods to uncover trends, patterns, and future business outcomes

• Polytechnic or university graduates looking to master data as a career asset, using GenAI to jumpstart their analysis and uncover hidden insights.
• Technical specialists seeking to back their coding with sound reasoning while leveraging GenAI as a high-speed co-pilot to build reliable models.
• Forward-thinking leaders moving beyond static reports to predicting future trends and risks using AI-enhanced foresight.
• Career changers targeting high-demand data roles by merging traditional logic with the modern GenAI productivity.

This is a 1-year part-time course consisting of 2 Post-Diploma Certificates conducted over 2 semesters.

• PDC1 focuses on foundations for data science, including statistics and python programming.
• PDC2 offers greater flexibility for working professionals by requiring only one on-campus session per week, with the majority of learning delivered through asynchronous e-learning.

Apply your knowledge in a real-life project and participate in an exciting prediction challenge so you can sharpen your practical skills in a hands-on setting.

Please click here for the Module Synopsis. 

Academic Progression and Pathways 

Hear From Our Participants

For more information on the course, click on the “Register” button.