Overview
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
Foundation of Data Science
Duration: 5 days
Data Storytelling with Visualisation
Duration: 5 days
Innovation by Design
Duration: 8 days
Relational Database Management Systems (RDBMS)
Duration: 5 days
Graduate Certificate in Data Analytics (Non-programming)
Complete all 3 modules
Data Wrangling and Preparation with Excel
Duration: 5 days
Data Validation and Statistical Analysis with Excel
Duration: 5 days
Data Science Modelling with Excel
Duration: 5 days
ModularMaster Certificate in Data Science (Programming)
Graduate Certificate in Fundamentals in Data Science
Complete any 3 out of 4 modules
Foundation of Data Science
Duration: 5 days
Data Storytelling with Visualisation
Duration: 5 days
Innovation by Design
Duration: 8 days
Relational Database Management Systems (RDBMS)
Duration: 5 days
Graduate Certificate in Data Analytics (Programming)
Complete all 3 modules
Data Wrangling and Preparation with Programming
Duration: 5 days
Data Validation and Statistical Analysis with Programming
Duration: 5 days
Data Science Modelling with Programming
Duration: 5 days
Who should attend?
We encourage anyone to join us for this exciting programme. And by anyone, we mean anyone – anyone who is generally curious with a great interest in finding out what data is, to making data magic through analysis and predictions. Whether it is exploring roles in data science for absolute beginners or career-switchers who are exploring additional skillset in data, across major industries, data is in demand in the age of Smart Nation.
How does it work?
For the ModularMaster pathway, learners can mix and stack modules the way that best fit their learning goals as long as they add up to 72 subject credits within 2 years.
If you have not decided on pursuing the ModularMaster, you can always take up individual modules that are the most relevant to your learning goals.
Course fee
Without subsidies and excluding GST, the full course fee of the ModularMaster Certificate in Data Science (Programming) is S$29,700.
Bridging Courses
| Type | Course | Duration |
| Elective | Fundamentals in Python (Intermediate) | 5 days |
| Elective | Fundamentals in Python (Basic) | 5 days |
Programming Track
Sam, 35, is looking to transition into a data analyst or data scientist role. Currently an Engineer, Sam is proficient in Java programming and has some experience working with Python and is looking to put his eye for numbers into data science.
Sam is deciding between the Programming Track and Non-programming Track of the ModularMaster Certificate in Data Science programme. Which track should he choose?
Based on his learning objectives and aspiration to become a data analyst/scientist, together with his background and experience in programming; Sam would benefit most from going onboard the Programming Track.
The Programming Track is designed for learners who want to be able to perform data science tasks with the use of code, facilitating greater flexibility, and more expansive applications throughout the data science process.
Non-Programming Track
Usha, 42, a stay-at-home mum is looking to return to work after 5 years. Previously a Marketing Associate, Usha is keen to learn data science because she has heard that it is a skill in demand, but Usha has no background in programming. She is keen to pursue a role as a business or market analyst.
Usha is deciding between the Programming Track and Non-programming Track of the ModularMaster Certificate in Data Science programme. Which track should she choose?
Based on her learning objectives and career goals; Usha would benefit most from going onboard the Non-Programming Track.
The Non-Programming Track is designed for learners who have no background in programming but with a strong interest in data science. This track allows such learners to acquire the skills and knowledge to navigate through the data science process with the use of tools and applications.
Bridging to Programming
Usman, 26, a business graduate, is currently employed as a junior business analyst at a local manufacturing firm. His mentor has advised him to deepen his skills in data science to prepare him for career advancement. Usman has no background in programming but he regards it to be an important skillset should he want to progress in his career.
Usman is deciding between the Programming Track and Non-programming Track of the ModularMaster Certificate in Data Science programme. Which track should she choose?
Based on his learning objectives and career goals; Usman would benefit most from going onboard the Programming Track.
However, with no prior experience in programming, he may find it challenging to go directly for the Programming Track.
Usman can take on modules from the bridging track to gain the confidence and proficiency to prepare him for the Programming Track.
The Non-Programming Track is designed for learners who have no background in programming but with a strong interest in data science. This track allows such learners to acquire the skills and knowledge to navigate through the data science process with the use of tools and applications.
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Frequently Asked Questions
You can visit the FAQ page for more information about the ModularMaster Certificate and Graduate Certificate programmes.