SGUS Data Science Professional (AI & Machine Learning App Developer)


The Singapore Polytechnic (SP) School of Computing is pleased to introduce the SGUS Data Science Professional Programme (AI Application Developer). This is a Programme offered to trainees who are in Information and Communications Technology (ICT) Industry. This is to facilitate trainees who are keen to further their education in a new or reskill knowledge domain as part of the journey in being a life-long learner. 

Trainees are required to equip with a computer Notebook (installed with minimally windows10 OS) when attending lessons.

Course Objectives

This programme aims to equip the Industry with ICT-Emerging Tech Specialists and talents to have the knowledge and ready skillset in the area of AI & Machine Learning Application Development to help business and industries ride the waves of digital transformation.

This programme also enables learners to:
• Frame problem statements using the lens of Data Science to design and select the most appropriate Machine Learning models.
• Implement machine learning techniques and algorithms in an AI application.
• Design, project manage and develop an AI & Machine Learning project that solves a real world problem.

Suitable for

This programme is suitable for Technical Specialist: IT Specialist, Software Tester, IT Executive and working in the ICT related Industry.

Industry and Career Options

With the skills and knowledge gained from this programme, trainees will be able to take on new challenges in AI & Machine Learning related to Singapore’s ICT landscape. 

Career options include:
• Software analyst and developer
• AI Engineer
• System Engineer

Minimum Entry Requirements

Applicant must be a Singapore Citizen or Singapore Permanent Resident aged 21 and above, and is able to commit to the full-time training schedule.

In addition, the target trainees for SGUS programmes will exclude the following:

a) Graduated or graduating in Calendar Year (CY) 2019 / 2020 from ITE, Polytechnics, Universities, and other educational institutions. This includes graduates from private universities as well as overseas institutions and part-time / post-graduate programmes; and

b) Graduated from the educational institutions mentioned in (a) and completed or completing their National Service (NS) in CY 2019 / 2020 and are entering the labour force.

Applicants should have a local Polytechnic Infocomm Technology related Diploma and have at least 1 year of related working experience in Software Development. Any equivalent diplomas will be assessed on a case-by-case basis. 

Recognition of Prior Learning

Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or entrance test. The Polytechnic reserves the right to shortlist and admit applicants.

Course Outline

The Programme consists of seven (7) certificates to be conducted within 12 months. This is an online-offline hybrid course that is conducted with facilitated learning, complemented with self-directed online learning resource to promote life-long skill-based training. 

1. Certificate in Communication and Interpersonal Skills (1 month)
It covers the key communication areas which include mindset transformation, emotional intelligence (EQ), communications between generations and building digital confidence in the workplace.

2. Certificate in Introduction to Analytics, Cyber Security, AI and Blockchain (1 month)
It introduces key concepts in the areas of data and visual analytics using Power BI, statistics, cyber security, blockchain, AI and machine learning.

3. Certificate in Essential and Emerging Skills for Employability (1 month)
It covers fundamentals in various essential areas within an organisation, which includes human resource, finance, design thinking, robotic process automation and digital marketing.

4. Certificate in Fundamentals of Data Science (2 months)
To provide training in the fundamentals of statistics and programming for data science. 

5. Certificate in Data Science Projects Practices (1 month)
It teaches students to plan end to end data science projects including activities involved, dependencies, external/internal resource needs and skills requirements. The approaches to manage stakeholder expectations as well as organising and managing a data science team on the delivery of data science projects will be covered. 

6. Certificate in Job Specialisation for AI & Machine Learning App Developer (3 months)
It enables students to apply machine learning to solve practical problems and develop programs that employ artificial intelligence techniques to perform autonomous actions without human intervention. It provides students with opportunity to integrate knowledge and technical skills they have acquired from the course and experience problem solving, project management and communication as well as working as a team to develop an AI & Machine Learning solution to solve a real world problem.

7. Practicum (3 months)
This project module provides opportunities for learners embark on an industry project either in-house or in an attachment to a company.

Please click here for here synopsis.

*Certificates may not be conducted according to the sequence listed.

Award / Certification / Accreditation

• Upon completion and passed all modules in each Certificate, trainees will be awarded a Certificate
• Upon completion and passed all the certificates, trainees will be awarded with a Certificate of Completion in SGUS Programme from SP

Please refer here for the FAQ on SGUS programme.

Course Fees

Full Fees (inclusive of GST): $27,152.32

Subsidised Fees for Singaporeans & Singapore PR (inclusive of GST): $1,000.00

Trainees must fulfil minimum attendance requirements and pass assessments to qualify for course fee subsidies. Trainees who are unable to meet these requirements may be asked to return the course fee subsidies that they have received.

Refund Policy:

• The programmes allow trainees to exit without penalty if they are successfully placed into a job or have secured a job on their own accord while undergoing training. However, trainees who exit the programme without a valid reason may be asked to return the course fee subsidy that they have received.
• Refund of paid course fees will be pro-rated based on certificates that have not commenced
• Trainees who wish to exit from the programme must write to

No new intake

Class Schedule:
Mon-Fri, 9 am to 6 pm (at least 15 hours or more per week)
Lessons will be conducted in online synchronous/asynchronous or face-to-face mode

745 hours (1 year)