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Specialist Diploma in Data Science (Predictive Analytics)

Topic:Data Analytics & Visualisation, ICT, Media & Design, Others

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

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Overview

  • Course Date:

    15 Apr 2024 to 31 Mar 2025

  • Registration Period:

    21 Dec 2023 to 29 Feb 2024

  • 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 when there is a new run.

Class schedule:
Every Tue and Thu
5:30pm - 6:30pm (e-learning*)
6:30pm - 9:30pm (face-to-face class)

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.

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.

*e-learning: the students are not required to attend classes during this period.

Course Duration: 
240 hours (1 year)

Please refer to Academic Calendar.

Enquiries
For enquiries, please email to ptenquiry@sp.edu.sg

Course Objective

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.

Course Outline

The course is a one-year part-time programme. It consists of 2 Post Diploma Certificates (PDC) conducted over 2 semesters, 1 PDC per semester. The first PDC to start with is PDC1. The classes are conducted in the evening.

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
 

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 Predictive Analytics
Module 3 - Introduction to Statistical Modelling
Module 4 - Generalised Modelling and Forecasting

Participants must complete PDC1 before they can progress to PDC2.

Minimum Requirements

Applicants enrolled in the Specialist Diploma in Data Science (Predictive 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 (Predictive 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 (https://www.sutd.edu.sg/Education/Academy/Our-Offerings/ModularMasters/ModularMasters-in-Data-Science)

Specialist Diploma in Data Science (Predictive 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 (Predictive 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 Predictive Analytics-Insights of Trends. The waiver will apply to all suitable graduates of the Specialist Diploma in Data Science (Predictive 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, 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.

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

The course fees payable above are inclusive of 9% GST rate.

Applicants/Eligibility Certificate in Fundamentals of Data Science Certificate in Predictive Analytics Total Course Fees
SINGAPORE CITIZENS BELOW THE AGE OF 40 $470.88 $470.88 $941.76
SINGAPORE CITIZENS AGED 40 AND ABOVE $313.92 $313.92 $627.84
SINGAPORE PR $1,321.08 $1,321.08 $2,642.16
SME-SPONSORED SINGAPORE CITIZENS $326.88 $326.88 $653.76
SME-SPONSORED SINGAPORE PR $397.08 $397.08 $794.16
OTHERS / REPEAT STUDENTS $3,348.48 $3,348.48 $6,696.96

*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)		SINGAPORE CITIZENSSINGAPORE PR AND OTHERS
Examination Fee-$16.35
Miscellaneous Fee$7.63$7.63
Statutory Licence Fee (CLASS)$1.02$1.02
Insurance Fee (GPA)$2.29$2.29


- The fees shown 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.

Refund Policy:
- Withdraw within 2 weeks before semester commencement, 50% 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

1. For self-sponsored applicants, please click on the “Register” button to apply for the course. You will be directed to Skills Training & Enhancement Portal (STEP), the official portal to manage all your course activities. Please note that you will be prompted to sign in with Singpass/Student ID.
 
2. For company-sponsored applicants, please approach your company's Human Resource (HR) team to put in the application through the company portal using CorpPass at STEP (polite.edu.sg). You may only apply after receiving the registration link from your company's HR.
 
3. Your application does not guarantee acceptance into the course. Your acceptance into the course is dependent on meeting the course requirements and course vacancy.
 
4. Non‐Singaporeans must possess a valid Employment Pass / Work Permit / Dependant Pass throughout the course duration. You would need to bear the full risk of non-completion should your pass expire and subsequently lapse within the duration of the course.
 
5. You will be notified by email on the application outcome 6 weeks after the application’s closing date. 
 
6. PACE Academy course schedules, including course trainer, course fees and course availability are subject to change.

7. PACE Academy reserves the right to cancel or postpone any course at short notice; & at its absolute discretion without assigning any reason for such cancellation/postponements. In the event that the applicant’s chosen course is cancelled prior to its commencement, PACE Academy will make a full refund of course fees already paid by the applicant.

8. The data provided to Singapore Polytechnic will be kept strictly confidential and will be used for the purpose of course administration. The data may be passed on to the relevant organisations that require the information related to the course. 

Related Links

Please note that a 100% refund will be given if the withdrawal request is submitted more than or equal to 14 days before the course start date.

Please note that a 50% refund will be given if the withdrawal request is submitted less than 14 days before the course start date.

Please note that no refund will be given if the withdrawal request is submitted after the course start date.

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Singapore Polytechnic

500 Dover Road Singapore 139651

Last updated: 09 May 2023

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