Overview
This course is stackable to the Master of Science in Technology and Design (Data Science)
In real-world practice, data science projects begin with a deep understanding of the business use case before applying technical concepts to solve practical problems. This course mirrors that process, guiding students through the complete data science life cycle using real-world case studies and industry-relevant platforms such as Microsoft Azure Machine Learning.
Emphasising hands-on learning in the spirit of SUTD’s MIT-inspired “mind and hand” ethos, the course enables students to apply theory to practice in meaningful, solution-driven ways.
Participants will explore three key dimensions of active data use:
- theory and practice of data curation, cleaning and transformation across various database systems;
- effective data visualisation through dashboards and infographics; and
- data governance, stewardship and ethics.
This course integrates tools such as Microsoft Azure Machine Learning and Power BI, complemented by hands-on exercises and interactive learning to reinforce concepts and encourage applied understanding.
Course details
Course dates:
- 15 September to 20 December 2025
- One session per week over a 14-week period, with a break during Week 7 (recess week).
Registration closing:
- 15 August 2025
Duration:
- 3 hours per week. Exact dates and times will be made available in August 2025.
You will attend classes alongside Master of Science in Technology and Design students.
Who should attend
Participants who wish to upgrade your skills in design and data science technology to fast-track your professional careers or entrepreneurial pursuits.
Potential career paths include:
- Data Scientist/Analyst
- Operations Analyst / Manager
- Business Intelligence Analyst
- Financial Analyst
- Supply Chain Analyst
- Healthcare Data Analyst
- Consultant in Data Science and Analytics
Prerequisites
Applicants should have the following:
- Knowledge of a programming language, such as Python or R
- Good knowledge of mathematics/statistics
- Working knowledge of basic Microsoft Office365, Microsoft Word, Microsoft Excel and PowerPoint