Specialist Diploma in Data Science (Data Analytics)

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Specialist Diploma in Data Science (Data Analytics)

Overview

Course Date:
21 Apr 2025 to 31 Mar 2026
Registration Period:
01 Dec 2024 to 02 Mar 2025
Duration/Frequency:
2 evenings per week, 6.30pm-9.30pm
Mode of Training:
Classroom
Venue:
Singapore Polytechnic
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:
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 are 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.

Course Duration:

240 hours (1 year)

Please refer to Academic Calendar.

Enquiries
Email: ptenquiry@sp.edu.sg

Course Objective

Data is ubiquitous in government and other industries, including Banking, Insurance, Healthcare, Telecommunications, Manufacturing, and Retail. Hence, this course provides fundamental skills in Statistics and Data Mining to graduates, involved in managing Data to extract useful Business information. Training, in fundamentals of Data Science statistics and programming, as well as specialisation of Data Mining and Applied Statistical methods, is included. Graduates will, as a result, be competent in summarising, preparing, presenting data, as well as performing statistical analysis of univariate and multivariate statistics. They can also develop predictive and descriptive models, as well as apply them 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.

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.

Minimum Requirements

Applicants 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, not meeting the entry requirements, may apply by producing evidence of at least 5 years relevant working experience or supporting information to ascertain their competency readiness. Shortlisted applicants 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 ModularMaster in Data Science - Singapore University of Technology and Design (SUTD).

Specialist Diploma in Data Science (Data Analytics) graduates will receive 2 module exemptions, 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

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. It will apply to all suitable graduates, from October 2021 onwards.

Suitable for

Working adults, employed in sectors (e.g., such as Government, Banking, Insurance, Telecommunications, Manufacturing, and Retail) requiring expertise in Data Science. This course contains a mix of theory and application, requiring participants have a good foundation in Mathematics

Special Requirements

Participants are required to bring notebook computers to class, and Necessary software is provided (free-of-charge) for the duration of the course