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.
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.
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 or degree from a polytechnic* or university** in Singapore AND
• 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
• 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.
This course consists of 2 post diploma certificates (PDCs). Each PDC comprises two modules and the details are as follows:
Click here for Module Synopses
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 Data Analytics
Module 3 - Data Mining Techniques
Module 4 - Applied Statistical Methods
Participants must complete PDC1 before they can progress to PDC2.
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 (Data Analytics) graduates will receive an exemption of up to 18 subject credits on SUTD’s ModularMasters in Data Science programme. Details can be found in SUTD website (https://www.sutd.edu.sg/Education/Academy/Our-Offerings/ModularMasters/ModularMasters-in-Data-Science)
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
Click here for Funding Incentives and Fees Matters
|SPECIALIST DIPLOMA IN DATA SCIENCE (DATA ANALYTICS)|
|POST DIPLOMA CERTIFICATES (PDC)||SINGAPORE CITIZENS BELOW THE AGE OF 40||SINGAPORE CITIZENS AGED 40 AND ABOVE||SINGAPORE PR|
ENHANCED TRAINING SUPPORT FOR SME SCHEME
ENHANCED TRAINING SUPPORT FOR SME SCHEME
|OTHERS / REPEAT STUDENTS|
|Certificate in Fundamentals of Data Science||$444.91||$296.60||$1,186.42||$306.31|| $354.82||$2,966.04|
|Certificate in Data Analytics||$444.91||$296.60||$1,186.42||$306.31|| $354.82||$2,966.04|
|Total Course Fees:||$889.81||$593.21||$2,372.83||$612.61|| $709.63||$5,932.08|
*SC - Singapore Citizens
**PR - Permanent Residents
Other Fees Payable:
|FEE DESCRIPTION||PER SEMESTER (AFTER GST)|
| ||SINGAPORE CITIZENS||SINGAPORE PR AND OTHERS|
|Statutory Licence Fee (CLASS)||$1.01||$1.01|
|Insurance Fee (GPA)||$1.70||$1.70|
- 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.
- Withdraw within 2 weeks before semester commencement, 70% refund of paid course fee.
- Withdraw on or after date of semester commencement, no refund of paid course fee.
Please note that other fees paid are non-refundable.
Please click here for
17 Oct 2022
1 Jun - 31 Jul 2022
* Registration may be closed once seats are filled up
Tue, Thu evenings
6:30pm - 9:30pm
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.
240 hours (1 year)
For course specific details,
please contact the course manager:
Name: Dr Kathiresan Manickam