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.
This course is suitable for working adults employed in sectors that require expertise in Data Science such as government, banking, insurance, telecommunications, design and manufacturing, and retail. In particular, working adults who need to be equipped with technical and practical predictive modelling skills to handle data with a variety of structures, stand to benefit well from the course. The course contains a mix of theory and application, and requires that students have a good foundation in mathematics.
Students in this course are required to bring a notebook computer to class. Necessary software is provided free-of-charge to students for the duration of the course.
Minimum Entry Requirements
Students enrolled in the Specialist Diploma in Data Science (Data Analytics) must satisfy at least one of the following entry requirements:
(i) An engineering diploma from a polytechnic in Singapore
(ii) Any diploma from a polytechnic in Singapore AND
- a C6 or better in Additional Mathematics in the O-level examinations
- OR a C grade or better in a one-semester polytechnic mathematics module that substantially covers the Additional Mathematics syllabus;
- OR relevant work experience (considered on a case-by-case basis).
(iii) Any degree from one of the following Singapore universities: NUS, NTU, SMU, SUTD, SIT, or SUSS (UniSIM).
Candidates with degrees from other universities are considered on a case-by-case basis
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
PDC 1 Certificate in Fundamentals of Data Science
Module 1 - Introduction to Statistics for Data Science
Module 2 - Introduction to Programming for Data Science
PDC 2 Certificate in Predictive Analytics
Module 3 - Introduction to Statistical Modelling
Module 4 - Generalised Modelling and Forecasting
Award / Certification / Accreditation
Upon completion of two Certificates within a two-year validity period, the participant will be conferred a Specialist Diploma qualification from Singapore Polytechnic.
|Specialist Diploma in Data Science (Predictive Analytics)
|Post Diploma Certificates (PDC)
||Singapore Citizens Below the age of 40
Aged 40 and above
||Enhanced Training Support for SME scheme
||Workfare Training Support scheme
||Others / Repeat Students
|Certificate in Fundamentals of Data Science
|Certificate in Predictive Analytics
|Total Course Fees:
Other Fees Payable:
||Per semester (after GST)
||Singapore PR and others
|Statutory Licence Fee (CLASS)
|Insurance Fee (GPA)
- The fees shown (inclusive of 7% GST) are indicative as they are based on prevailing funding policies and subject to review.
- Post Diploma Module Certificate fee is payable on a semester basis.
- Post Diploma course participants who submit the withdrawal notification 2 weeks before course commencement, an administrative fee of $50 (before GST) would be levied.
Terms and Conditions
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