ModularMaster Certificate in Data Science

Modelling Your Career

Data-driven. Now that's a word you would have heard umpteen times and no wonder because the environments we work in are starting to look a lot like they are. From what to watch next on Netflix, to dynamic ticket pricing on airlines, organisations and businesses are using data-driven approaches to improve efficiencies and make critical decisions.

Learners can choose from a selection of relevant modular programmes offered by SUTD Academy, Singapore Polytechnic and Nanyang Polytechnic. These select courses ensure relevance and application to the industry, and offer a multi-faceted approach from different institutions to help busy professionals to attain the ModularMaster in Data Science credential.

Course Information

Learners can choose from a selection of relevant modular programmes offered by SUTD Academy. These select courses ensure relevance and application to the industry, and offer a rigorous data science curriculum to help busy professionals to achieve the ModularMaster in Data Science credential. We are constantly designing and curating courses to the course list to ensure our curriculum remain relevant.

Course Structure and Pathways

Two Tracks
We have designed two tracks to cater to participants with different learning preferences.

​Participants who prefer to make use of programming can go for the modules under the Programming Track while participants who prefer to make use of readily available tools can embark on modules under the Non-Programming Track.

For participants who do not possess a programming background, you may also take on a Bridging pathway towards the Programming Track

ModularMaster Certificate in Data Science (Non-programming)

Graduate Certificate in Fundamentals in Data Science​
Complete any 3 out of 4 modules

+

Graduate Certificate in Data Analytics (Non-programming)​
Complete all 3 modules
Foundation of Data Science
Duration: 5 days
Data Wrangling and Preparation with Excel
Duration: 5 days
Data Storytelling with Visualisation
Duration: 5 days
Data Validation and Statistical Analysis with Excel
Duration: 5 days
Innovation by Design
Duration: 8 days
Data Science Modelling with Excel
Duration: 5 days
Relational Database Management Systems (RDBMS)
Duration: 5 days
 

ModularMaster Certificate in Data Science (Programming)

Graduate Certificate in Fundamentals in Data Science​
Complete any 3 out of 4 modules

+

Graduate Certificate in Data Analytics (Programming)​
Complete all 3 modules
Foundation of Data Science
Duration: 5 days
Data Wrangling and Preparation with Programming
Duration: 5 days
Data Storytelling with Visualisation
Duration: 5 days
Data Validation and Statistical Analysis with Programming
Duration: 5 days
Innovation by Design
Duration: 8 days
Data Science Modelling with Programming
Duration: 5 days
Relational Database Management Systems (RDBMS)
Duration: 5 days

Bridging Courses

Type Course Duration
Elective Fundamentals in Python (Intermediate) 5 days
Elective Fundamentals in Python (Basic) 5 days

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Partner Institutions

We have partnered tertiary institutions to provide alternative pathways towards our ModularMaster Certificate in Data Science.

Singapore Polytechnic

Graduates from the Specialist Diploma in Data Science in the below domains will be able to utilise up to 12 subject credits to offset from the stipulated 72 subject credits when applying for the ModularMaster Certificate in Data Science certificate.

Nanyang Polytechnic

Graduates from the Specialist Diploma in the below domains will be able to utilise their corresponding subject credits to offset from the stipulated 72 subject credits when applying for the ModularMaster Certificate in Data Science certificate.

Ngee Ann Polytechnic

Graduates from the Specialist/Advanced Diploma in the below domains will be able to utilise up to 12 subject credits to offset from the stipulated 72 subject credits when applying for the ModularMaster Certificate in Data Science certificate.

  • Specialist Diploma in Data Analytics (SDDA)  
    • Data Visualisation & Story Telling (up to 12 subject credits)
    • Data Wrangling (up to 12 subject credits)
    • Descriptive Analytics (up to 12 subject credits)

Exempted module (choose 1): -

  • Foundation of Data Science or

  • Data Storytelling with Visualisation

*Learners are encouraged to take up Foundation of Data Science as setting the right foundation is crucial

 
  • Specialist Diploma in Artificial Intelligence for Engineers (SDAIE)
    • Data Handling and information Visualisation (up to 12 subject credits)
    • Machine Learning System Engineering (up to 12 subject credits)
    • Machine Learning Algorithm Development (up to 12 subject credits)

Exempted module (choose 1): -

  • Foundation of Data Science or

  • Data Science Modelling with Programming

*Learners are encouraged to take up Foundation of Data Science as setting the right foundation is crucial

Graduates from the Advanced Diploma in the below domains will be able to utilise their corresponding subject credits to offset from the stipulated 72 subject credits when applying for the ModularMaster in Data Science certificate.

Advanced Diploma in Machine Learning (ADML)

  • Machine Learning (6 subject credits)
Temasek Polytechnic

Graduates from the Specialist Diploma in the below domains will be able to utilise their corresponding subject credits to offset from the stipulated 72 subject credits when applying for the ModularMaster Certificate in Data Science certificate.

Republic Polytechnic
Graduates from the Specialist Diploma in the below domains will be able to utilise up to 12 subject credits to offset from the stipulated 72 subject credits when applying for the ModularMaster Certificate in Data Science.
 
  • Specialist Diploma in Business Analytics (SDBA)
    • C1419C Introduction to Data Management (2 subject credits)
    • C1439C Data Visualisation for Business Decisions (2 subject credits)
    • C1449C Data Visualisation for Enhanced Business Insights (2 subject credits)
    • C3459C Statistics for Data Analytics (2 subject credits)
    • C3439C Predictive Analytics with Machine Learning (5 subject credits)
 
  • Exempted module (choose 1): -
    • Foundation of Data Science or
    • Data Storytelling with Visualisation

*Learners are encouraged to take up Foundation of Data Science as setting the right foundation is crucial.

Register your Interest for MM in Data Science

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Frequently Asked Questions

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Policies and Financing Options

SSG Funding Terms and Conditions

Use of Personal Details

In consideration of the subsidy provided by SkillsFuture Singapore Agency (“SSG”) through the SUTD Academy for the Course,
 

I consent to:

The collection, use and disclosure to relevant third parties of my personal data by the SUTD Academy including but not limited to personal particulars, attendance records, assessment/performance records, for the following purposes:

  1. Reporting of national statistics and conducting of holistic continuing education training research and analysis;

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  3. General administration of the Course including but not limited to processing of the subsidy provided by SSG;

  4. Publicity and marketing of the Course or other Courses to be provided by SSG or SUTD Academy; and

  5. SSG or its Appointed Auditors or Nominated Representatives to directly contact Course Participant to obtain information deemed necessary for the purposes of conducting effectiveness survey or audits in relation to the Course.
     

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  3. Complete the post Course survey sent about 3 to 6 months after class attendance; and

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SUTD Terms and Conditions

Methods of Payment

Learn more about the available payment modes.

Cancellation & Refund Policy

  1. If a written notification is sent to sutd_academy@sutd.edu.sg within 24 hours after course registration deadline there will be no cancellation charges. A full refund will be made. 

  2. No refund is provided if written notification is more than 24 hours after course registration deadline. SUTD Academy reserves the rights to collect the full fee amount from the participant.

Replacement Policy

Companies may replace participants who have signed up for the course by giving a 3-working day notice before the course commencement date to sutd_academy@sutd.edu.sg. Terms and conditions apply.

Registration Policy

  1. Course may be cancelled due to insufficient participants. SUTD Academy will not be responsible or liable in any way for any claims, damages, losses, expenses, costs or liabilities whatsoever (including, without limitation, any direct or indirect damages for loss of profits, business interruption or loss of information) resulting or arising directly or indirectly from any course cancellation.

  2. Course enrolment is based on a first-come, first-served basis.

  3. SUTD Academy reserves the right to change or cancel any course or instructor due to unforeseen circumstances. 

Types of Funding

Funding under Mid-Career Enhanced Subsidy ("MCES")

  1. MCES is an enhanced Subsidy to encourage mid-career individuals to upskill and reskill, thereby helping them to remain competitive and resilient in the job market. With this, all Singaporeans aged 40 and above will receive higher subsidies of up to 90% course fee subsidy for SSG-funded certifiable courses.

  2. Individuals/employers are not required to submit an application for the MCES. Those pursuing SSG-funded programmes will be charged the appropriate subsidised fees by SUTD Academy if they are eligible MCES. Individuals/employers will only need to pay the nett fee (full course fee after SSG's grant).

    For more info, please visit SkillsFuture website at https://www.skillsfuture.gov.sg/enhancedsubsidy

Funding under Enhanced Training Support for SMEs ("ETSS")

  1. ETSS is an enhanced funding to enable SMEs to send their employees for training.

  2. SMEs will enjoy subsidies of up to 90% of the course fees when they sponsor their employees for SSG-funded certifiable courses.

  3. In addition to higher course fee funding, SMEs can also claim absentee payroll funding of 80% of basic hourly salary at a higher cap of $7.50 per hour. SMEs may apply for the absentee payroll via the SkillsConnect system.

  4. To qualify, SMEs must meet all of the following criteria:
    - Organisation must be registered or incorporated in Singapore
    - Employment size of not more than 200 or with annual sales turnover of not more than $100 million
    - Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
    - Trainees must be Singapore Citizens or Singapore Permanent Residents

    For more info, please visit SSG website at https://www.ssg.gov.sg/programmes-and-initiatives/funding/enhanced-training-support-for-smes1.html


Funding under Union Training Assistance Programme ("UTAP")

UTAP is a training benefit for NTUC members to defray their cost of training. This benefit is to encourage more union members to go for skills upgrading.

NTUC members enjoy 50% unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP (Union Training Assistance Programme).

For more info, please visit https://e2i.com.sg/individuals/ntuc-education-and-training-fund/.
 


Funding under Post-Secondary Education Account ("PSEA")

The Post-Secondary Education Account (PSEA) is part of the Post-Secondary Education Scheme to help pay for the post-secondary education of Singaporeans.

This is part of the Government’s efforts to encourage every Singaporean to complete their post-secondary education. It also underscores the Government’s commitment to support families in investing in the future education of their children and to prepare them for the economy of the future. PSEA is not a bank account.

It is administered by the Ministry of Education (MOE) and is opened automatically for all eligible Singaporeans.

Account holders can use their PSEA funds to pay for their own or their siblings’ approved fees and charges for approved programs conducted by approved institutions.

However, you will have to check your eligibility and balance by contacting MOE first.

Contact MOE at (65) 6260 0777

E-mail to MOE at contact@moe.edu.sg

Click here for MOE website.