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Course Date:
21 Apr 2025 to 31 Mar 2026
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Registration Period:
01 Dec 2024 to 31 Jan 2025
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Duration/Frequency:
TBA
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Mode of Training:
Facilitated Learning (Face-to-Face/ Online Synchronous) and Asynchronous E-Learning
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Venue:
Singapore Polytechnic (facilitated classroom training) and Online E-Learning
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Funding:
Eligible for SkillsFuture Credit
Please note that once the maximum class size is reached, the online registration will be closed. You may register your interest and be notified when there is a new run.
Class schedule:
Every Tue and Thu
5:30pm - 6:30pm (e-learning*)
6:30pm - 9:30pm (face-to-face class)
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. Please refer to the SP academic calendar.
Students 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.
*e-learning: the students are not required to attend classes during this period.
Course Duration:
240 hours (1 year)
Enquiries
For enquiries, please email to ptenquiry@sp.edu.sg
The need to handle, prepare, analyse and model data of varied structures is prevalent in the modern day industrial setting including industry sectors such as banking and finance, insurance, healthcare, telecommunications, design and manufacturing, and retail. This course provides graduates with fundamental skills in statistical analysis and predictive analytics that are required by jobs that involve managing, analysing and modelling data and extracting information that is useful to the business.
The objectives of the Specialist Diploma in Data Science (Predictive Analytics) are to provide foundational training in the fundamental concepts and methods of statistics and programming for data science, as well as in specialized skill sets in the area of statistical modelling and prediction. Graduates of the course will be competent in preparing data, performing statistical analysis, building and deploying predictive models and quantifying risks associated with the prediction.
The course is a one-year part-time programme. It consists of 2 Post Diploma Certificates (PDC) conducted over 2 semesters, 1 PDC per semester. The first PDC to start with is PDC1. The classes are conducted in the evening.
This course consists of 2 post diploma certificates (PDCs). Each PDC comprises two modules and the details are as follows:
Please click here for Module Synopsis
Semester One
PDC 1 Certificate in Fundamentals of Data Science
Module 1 - Introduction to Statistics for Data Science
Module 2 - Introduction to Programming for Data Science
Semester Two
PDC 2 Certificate in Predictive Analytics
Module 3 - Introduction to Statistical Modelling
Module 4 - Generalised Modelling and Forecasting
Participants must complete PDC1 before they can progress to PDC2.
PDC Exemptions for Specialist Diplomas in Data Science
Participants who have graduated from this course may be eligible for PDC1 exemption if they plan to register for another Specialist Diploma in Data Science:
Please note exemptions are evaluated on a case-by-case basis. Interested participants may email ptenquiry@sp.edu.sg. Our team will get in touch to address your queries and guide you through a separate application process.