With recent advances in deep learning technologies, Artificial Intelligence is gathering momentum to be one of the key pillars of the next Industry Revolution. Billions of dollars in investments are pouring into this space and an increasing number of organisations would be looking into acquiring talent to help them develop intelligent applications that harness the power of AI to help them gain a competitive edge. Graduates of the course will have the relevant skillsets to build data-driven AI applications and cognitive products.
The objectives of the Specialist Diploma in Data Science (Artificial Intelligence) 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 applied machine learning and AI-human interfaces (such as chatbots). Graduates of the course will be competent in applying machine-learning algorithms to design and develop intelligent software applications and cognitive products.
This course is suitable for working adults employed in sectors that require expertise in applied artificial intelligence (AI) and machine learning such as software application development, internet, government, fintech, transport, logistics, cybersecurity, telecommunications, healthcare, retail, education and manufacturing. In particular, working adults who need to be equipped with technical and practical AI skills to build systems that take advantage of available user data, stand to benefit well from the course. The course contains a mix of theory and application.
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 (Artificial Intelligence) must satisfy at least one of the following entry requirements:
(i)An engineering diploma from a polytechnic in Singapore
(ii)Any diploma from a polytechnic in Singapore AND
- a C6 or better in Additional Mathematics in the O-level examinations
- OR a C grade or better in a one-semester polytechnic mathematics module that substantially covers the Additional Mathematics syllabus;
- OR relevant work experience (considered on a case-by-case basis).
(iii)Any degree from one of the following Singapore universities: NUS, NTU, SMU, SUTD, SIT, or SUSS (UniSIM).
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.
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
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 Artificial Intelligence
Module1 – Applied Machine Learning
Module2 – AI Human Interface
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 (Artificial Intelligence) 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 (Artificial Intelligence) 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 (ARTIFICIAL INTELLIGENCE)|
|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 Artificial Intelligence||$556.13||$370.76||$1,483.02||$382.88|| $443.52||$3,707.55|
|Total Course Fees:||$1,001.04||$667.36||$2,669.44||$689.19|| $798.34||$6,673.59|
*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 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.
17 Oct 2022
1 Jun - 31 Jul 2022
* Registration may be closed once seats are filled up
Every Tue and Thurs
5.30pm to 6.30pm (e-learning*)
6:30pm to 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.
*e-learning: the students are not required to attend classes during this period.
240 hours (1 year)