Master of Science in Technology and Design (Data Science)

Apply state-of-the-art data science techniques incorporated with a design science perspective to solve contemporary industrial, social, and economic problems.
LOCATION

Singapore University of Technology and Design (SUTD)

PROGRAMME MODE & CANDIDATURE
Full-time (12 months)
Part-time (24 months, maximum 36 months with special approval)
GRADUATE WITH

Master of Science in Technology and Design (Data Science)

About programme

Apply state-of-the-art data science techniques incorporated with a design science perspective to solve contemporary industrial, social, and economic problems

 

As the world grapples with unprecedented volumes of data, there is an increasing urgent demand for data experts who can derive meaningful insights. The area of data science deals with the discovery of patterns in data that can help make decisions; hence it is often called the science of data-driven decision-making. Grounded in the core of applied mathematics, modeling, and computation, it has widespread applications in various fields such as business, finance, telecommunication, transportation, and more.

 

Modern enterprises, governments, and even individuals are using more advanced data science methods to make more informed decisions, such as purchases of products or services, reaching out to new markets, and enhancing the effectiveness of their internal operations and workflows. The Master of Science in Technology and Design (Data Science) programme equips students with the skills and knowledge to apply state-of-the-art data science techniques amalgamated with a design science perspective to solve contemporary industrial, social, and economic problems.

Programme structure

In this programme, you will delve deep into areas of artificial intelligence, machine learning, statistical learning, optimisation, and simulation methodologies. It allows you to gain a comprehensive understanding of data-driven decision-making. You will also learn the skills of complex data management, communication using data and the intricacies of data governance and ethics. The incorporation of design core modules will empower you with the necessary design know-how for developing cutting-edge technological solutions. In the final design project, you will apply your coursework knowledge to specific application domains such as aviation, finance, logistics, telecommunication, transportation, and more.

 

This one-year full-time programme is suitable for individuals who wish to upgrade their skillset to the state-of-the-art design and data science technology to fast-track their professional careers or entrepreneurial pursuits as technically grounded leaders and innovators.

Possible career paths and opportunities

The skills acquired in this programme are highly versatile and can be applied to a variety of industries. Some 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
Message from the academic programme director

The rapid growth of digital technologies now gives us access to enormous data sets — often messy, complex, and scattered across different systems. When used well, this information becomes a powerful asset: it can cut costs, streamline operations, guide resource allocation, reveal and forecast customer behaviour, and uncover new opportunities. Organisations in sectors like healthcare, finance, transport, logistics, and telecommunications depend on specialists to spot patterns, design effective solutions, and translate data into strategy. As a result, demand is strong for talent across the data spectrum — from analysts and architects to engineers and scientists — with strong skills in data and systems design.

 

This programme was created to meet that demand. It prepares you for a fast-moving data science career through a systems design perspective. With guidance from experienced instructors and industry mentors, you’ll progress from designing robust data curation and management workflows to decision-making grounded in techniques from machine learning, optimisation, AI, statistical learning, and simulation. You’ll also learn the design principles behind data pipelines, model design and evaluation, and experiment design for real-world impact. Our teaching team brings deep expertise and a genuine passion for the field, and they’re committed to helping you grow. The aim is to elevate your analytics skills and equip you with modern, industry-ready tools and design practices — so you can turn raw data into clear, actionable decisions in today’s data-driven world.

 

Dr Young Lee
Senior Lecturer, Engineering Systems and Design

 

 

 

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