Data is ubiquitous in government and in industry sectors including banking, insurance, healthcare, telecommunications, manufacturing, and retail.
Course Objective
Data is ubiquitous in government and in industry sectors including banking, insurance, healthcare, telecommunications, manufacturing, and retail.
This course provides graduates with fundamental skills in statistics and data mining that are required by jobs in these industries that involve working with data and extracting information that is useful to the business.
The objectives of the Specialist Diploma in Data Science (Data Analytics) are to provide training in the fundamentals of statistics and programming for data science, and to provide training on specialised skills in the areas of data mining and applied statistical methods.
Graduates of the course will be competent in summarising and presenting data, performing statistical analysis of univariate and multivariate data, preparing data, developing and applying predictive models, and using descriptive models to uncover patterns in data.
Minimum Requirements
Students enrolled in the Specialist Diploma in Data Science (Data Analytics) must satisfy at least one of the following entry requirements:
An engineering diploma from a polytechnic* in Singapore
a C6 or better in Additional Mathematics in the O-level examinations;
OR a pass in H2 Mathematics in the A-level examinations;
OR a C grade or better in a one-semester mathematics module that substantially covers the Additional Mathematics syllabus;
OR relevant work experience (considered on a case-by-case basis).
* NYP, NP, RP, SP, or TP
** NTU, NUS, SIT, SMU, SUSS, or SUTD (candidates with degrees from other universities are considered on a case-by-case basis)
Recognition of Prior Learning
Applicants who do not meet the entry requirements may apply for admission to the course by producing evidence of at least 5 years relevant working experience or supporting information to ascertain their competency readiness.
Eligible applicants who are shortlisted may have to go through an interview and/or entrance test.
The Polytechnic reserves the right to shortlist eligible applicants and admit applicants who perform well in the interview and/or entrance test.
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 (Data Analytics) graduates will receive an exemption of up to 12 subject credits on SUTD’s Modular Masters in Data Science programme. Details can be found in SUTD website.
Specialist Diploma in Data Science (Data Analytics) graduates will receive exemption 2 modules, namely Data Programming in Python and Data Visualisation from UOL MSc in Data Science and Artificial Intelligence.
Details can be found in SIM website UOL MSc in Data Science and Artificial Intelligence | SIM GE
Specialist Diploma in Data Science (Data Analytics) graduates will receive module exemption for NUS-ISS’ Master of Technology in Enterprise Business Analytics (MTech EBAC) programme, subject to satisfactory performance.
Suitable graduates will enjoy a waiver for the MTech EBAC Graduate Certificate modules of Statistics Bootcamp II and Statistics for Business II.
The waiver will apply to all suitable graduates of the Specialist Diploma in Data Science (Data Analytics) programme from October 2021 onwards.
Suitable For
This course is suitable for working adults employed in sectors that require expertise in Data Science such as government, banking, insurance, telecommunications, manufacturing, and retail.
The course contains a mix of theory and application, and requires that students have a good foundation in mathematics.
Special Requirements
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.
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