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Specialist Diploma in Data Science (Data Analytics)

Topic:Data Analytics & Visualisation

Course Type:Part-Time Diploma and Post-Diploma Courses

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  • Course Date:

    16 Oct 2023 to 30 Sep 2024
  • Registration Period:

    03 Jul 2022 to 31 Aug 2023
  • Time:

    12:00 AM to 12:00 AM
  • Mode of Training:

    Facilitated Learning (Face-to-Face/ Online Synchronous) and Asynchronous E-Learning
  • Venue:

    Singapore Polytechnic (facilitated classroom training) and Online E-Learning
  • 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 with there is a new run.

Class schedule:
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.

Course Duration: 
240 hours (1 year)

Please refer to Academic Calendar.


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.

Course Outline

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

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 Data Analytics
Module 3 - Data Mining Techniques
Module 4 - Applied Statistical Methods

Participants must complete PDC1 before they can progress to PDC2.

Minimum 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 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 ModularMasters 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

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.

Course Fees

Click here for Funding Incentives and Fees Matters

Applicants/Eligibility Certificate in Fundamentals of Data Science Certificate in Data Analytics Total Course Fees
SINGAPORE CITIZENS BELOW THE AGE OF 40 $444.91 $444.91 $889.81
SINGAPORE CITIZENS AGED 40 AND ABOVE $296.60 $296.60 $593.21
SINGAPORE PR $1,218.24 $1,218.24 $2,436.48
SME-SPONSORED SINGAPORE PR $372.24 $372.24 $744.48
OTHERS / REPEAT STUDENTS (for SC) $2,966.04 $2,966.04 $5,932.08
OTHERS / REPEAT STUDENTS (for PR) $3,045.60 $3,045.60 $6,091.20

*SC - Singapore citizen          ** PR - Permanant resident

SkillsFuture Mid-Career Enhanced Funding and Enhanced Training Support for Small and Medium Enterprises (SMEs). For details, please refer to here.

Other Fees Payable:

Other Fees Payable 
(Incl. GST)
Examination Fee-$16.20
Miscellaneous Fee$7.49$7.56
Statutory Licence Fee (CLASS)$1.01$1.02
Insurance Fee (GPA)$2.25$2.27

- The fees shown (inclusive of 8% GST) are indicative as they are based on prevailing funding policies and subject to review.

- As announced at Budget 2022, there will be no increase in government fees and charges for Singaporeans from 1 Jan 2023 to 31 Dec 2023.

- Post Diploma Module Certificate fee is payable on a semester basis.

Refund Policy:
- 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.

Application Procedure

Please click here for application procedures.

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