Courses and modules
These industry-relevant courses focus on equipping Singaporeans with emerging skills in areas such as Data Analytics, Cybersecurity, Design Innovation, Digital Media, Advanced Manufacturing, Unmanned Aerial Systems, and others.
Design, AI and Tech Executive Programme
This course seeks to transform businesses by equipping senior executives, managers and professionals with strategic knowledge and practical skills to integrate design, Artificial Intelligence (AI) and technology into their organisations. Participants will leverage on data-driven decision-making and apply human-centric design principles to drive innovation, boost efficiency and gain a competitive edge — all of which are necessary for organisation’s long-term success in an evolving digital landscape.
Data Analytics for Semiconductor Industry Applications: Yield and Reliability Analysis
Application of data analytics in semiconductor industry and analysis of large industrial data contribute to improved operational efficiency and business processes. This course equips participants with knowledge about applications of data analytics in the field of yield and reliability analysis in semiconductor devices/systems.
Data Science and Decision Making
This course focuses in the creation of value through application of data science and analytics toolbox in the business decision making. The focus of the course is in building a capability to bridge the gap between the business domain understanding and data science expertise, this is a fundamental task for any contemporary business.
Data Science Modelling with Excel
In the 21st century, we continue to see a rising trend in the applications of Data Science (DS) from the use of GrabPay to the example of Siri. The applications of Data Science encompass all walks of life and indirectly every aspect of the business – from how business acquires data to how data contributes and complements with the traditional intuitive decision-making approach. Data Science will not only continue to shape how industries operate in the near future but also revolutionise how firms harness Data to its full potential.
Data Storytelling with Visualisation
A picture speaks a thousand words. According to the World Economic Forum, the world produces 2.5 quintillion bytes of data daily and we need to be able to quickly and effectively understand what data means and be able to make decisions based on numbers and patterns. Data visualisation helps us to identify patterns, trends, understand relationships and provide better data presentation through visuals such as graphs, charts, and information visuals.
Data Validation and Statistical Analysis with Excel
Effective data science project relies on one critical aspect, data quality. With the right data quality, statistical analysis can then take place which translates data into meaningful insights for businesses. Data Validation plays an important role in ensuring the data is correct and useful in preparation for analysis.
Data Validation and Statistical Analysis with Programming
Effective data science project relies on one critical aspect, data quality. With the right data quality, statistical analysis can then take place which translates data into meaningful insights for businesses. Data Validation plays an important role in ensuring the data is correct and useful in preparation for analysis.
Data Wrangling and Preparation with Excel
In computer science particularly, you may have heard of the phrase “Garbage in, garbage out”; and that’s true for data analysis, the importance of having quality and the right data format is critical to any data science project. Data wrangling is the function of transforming raw data into data that is usable down the data science process.
Data Wrangling and Preparation with Programming
In computer science particularly, you may have heard of the phrase “Garbage in, garbage out”; and that’s true for data analysis, the importance of having quality and the right data format is critical to any data science project. Data wrangling is the function of transforming raw data into data that is usable down the data science process.
Finances
Available funding
| Funding type | Main eligibility |
| SSG Course Fee Grant 70% of course fees (excluding GST) |
Singapore Citizens or Singapore Permanent Residents |
| Mid-Career Enhanced Subsidy (MCES) Up to 90% of course fees. |
Singapore Citizens aged 40 years and above
|
| Enhanced Training Support for SMEs (ETSS) Up to 90% of course fees and 80% of basic hourly salary capped at $7.50/hr. |
Local or PR employees of SMEs
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 |
| Union Training Assistance Programme (“UTAP”) 50% unfunded course fee support for up to $250 each year |
NTUC members
Excludes miscellaneous fees such as GST and registration fee etc UTAP application must be submitted within 6 months after course completion |
| Post Secondary Education Account (“PSEA”) |
Singapore Citizens
|
Information is a guide based on subsidy/funding provider. Participants are strongly advised to check the respective websites for the most updated eligibility requirements.