Overview
The ModularMaster Certificate in Data Science and Artificial Intelligence is designed to equip individuals with the technical skills and practical knowledge needed to meet the growing demand for data science and artificial intelligence (AI) expertise across various industries. This programme provides a strong foundation in key data science concepts, machine learning techniques, and AI applications.
Led by expert faculty from SUTD, the programme strikes a balance between theory and hands-on learning. Participants will develop critical skills in data analytics, predictive modelling, and AI-driven decision-making, preparing them to thrive in today’s data-driven world. Whether you are looking to advance your career, transition to a new industry, or deepen your understanding of data science and AI, this programme offers the essential tools to unlock new opportunities.
Join us in exploring how data science and AI are transforming industries and driving innovation. Gain practical insights, develop technical expertise, and prepare yourself for the future of innovation work with the ModularMaster Certificate in Data Science and Artificial Intelligence.
Course Information
| ModularMaster Certificate in Data Science and Artificial Intelligence | ||
| Graduate Certificate in Data Analytics and Visualisation |
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Graduate Certificate in Artificial Intelligence |
| 1a) Principles of Data Science Duration: 2 days
1b) Data Science for Business Decision |
7a) Introduction to Machine Learning using Python Duration: 2 days
7b) Building Predictive Models from Scratch using Python |
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| 2a) Principles of Data Storytelling Duration: 2 days
2b) Data Visualisation and Dashboard Design |
8a) Practice of Deep Learning Duration: 2 days
8b) Computer Vision in Python |
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| 3a) Principles of Relational Database Design Duration: 2 days
3b) Database Querying with SQL |
9ai) Empowering AI at Work Duration: 2 days OR
9aii) AI Basics for Productivity
9aiii) Generative AI for Design Thinking and Innovation
9b) Natural Language Processing and Generative AI |
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| 4a) Data Exploration and Visualisation
Duration: 2 days
4b) Data Preparation for Analytics |
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| 5a) Statistics for Data Analytics Duration: 2 days
5b) Statistical Inference and Model Validation |
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| 6) Innovation by Design Duration: 8 days inclusive of project |
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You can earn the Graduate Certificate in Data Analytics and Visualisation by completing any 3 groups of modules from the list (items 1 through 6). For example, item 1 comprises modules 1a and 1b, which together constitute one group, whereas item 6, a standalone module, is considered a complete group on its own. All modules are subject to class availability.
Who should attend?
This programme is designed for business leaders, managers, and technical professionals across various industries who seek to develop their expertise in data science and AI. Business leaders and managers can harness data-driven insights to enhance operational efficiency, identify trends, and make informed strategic decisions. Technical professionals can refine their skills in predictive modelling, machine learning, and AI-driven problem-solving, preparing themselves for the growing demand in data-centric roles.
How does it work?
Learners can choose individual modules that are most relevant to their learning goals. By completing selected modules, learners can earn a graduate certification within the first year. Furthermore, by completing additional selected modules in the second year, learners can earn a ModularMaster Certificate by the end of the programme.
Bridging modules
The ModularMaster Certificate in Data Science and Artificial Intelligence consists of modules that require programming experience. Therefore, learners without prior programming experience may find it challenging. To build confidence and proficiency, learners can undertake the following bridging modules: