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 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.
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
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
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.
Click here for Funding Incentives and Fees Matters.
Other Fees Payable:
|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||WORKFARE TRAINING SUPPORT SCHEME||OTHERS / REPEAT STUDENTS|
|Certificate in Fundamentals of Data Science||$389.05||$259.37||$1,037.47||$267.85||$146.65||$2,593.68|
|Certificate in Data Analytics||$389.05||$259.37||$1,037.47||$267.85||$146.65||$2,593.68|
|Total Course Fees:||$778.10||$518.74||$2,074.94||$535.70||$293.30||$5,187.36|
|FEE DESCRIPTION||PER SEMESTER (AFTER GST)|
| ||SINGAPORE CITIZENS||SINGAPORE PR AND OTHERS|
|Statutory Licence Fee (CLASS)||$0.94||$0.94|
|Insurance Fee (GPA)||$0.85||$0.85|
- 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 application procedure.
Course Commencement:Academic Calendar
15 Oct 2018
Closed due to overwhelming response
* Registration may be closed once seats are filled up
Tue, Thu evenings
6:30pm - 9:30pm
240 hours (1 year)
For course specific details,
please contact the course manager:
Name: Robert A Straughan