Singapore University of Technology and Design (SUTD)
Master of Science in Technology and Design (Engineering Design Innovation)
Programme schedule
The MTD (Engineering Design Innovation) is a one-year full-time coursework-based Master programme. This programme comprises of eight courses (96 credits)—two core design courses, three electives and one project, organised as follows:
Course descriptions
Ideate-Prototype-Realise (36 credit points)
Ideate-Prototype-Realise (IPR), is a hands-on, experiential learning individual project undertaken by the students over 3 terms (1 year). Students can decide on the topic of the project and work closely with their advisor to develop their projects.
Innovation by Design (12 credit points)
The focus of this course is the integration of marketing, design, engineering and manufacturing functions in creating and developing a new product, system or service. The course will go through the different phases of designing a new product, system or service and will focus on some of the critical success factors for new product development, with an early emphasis on design thinking. The overall framework of this programme and its accelerated pace will be set by this introductory course, where students will be given a design challenge to complete during the term.
Design Science (12 credit points)
This course will introduce students to design science. Many design principles and methods are reviewed, applied and analysed. Students will learn to make connections between design science and other fields in, for example, engineering and how principles in design science can be used to advance these fields. The class will cover a broad set of design methods such as customer needs analysis, methods in creativity, functional modelling, design for X, design for testing and verification.
Elective courses (36 credit points)
Each elective course carries 12 credit points. Students are required to complete one elective course per term, selected from the list of available courses offered in each term.
Term 1
- Foundations of Cybersecurity
- Digital IC Design
- User Experience 1: Understanding Culture and Behaviour
- AI Empowered Data-Driven Design
- Healthcare Ecosystem
- Network Security
- Semiconductor Device Tech and Design: Silicon and Beyond
- Design Ethics
- Creative Machine Learning
- Biomedical Physiology
- Mechanics & Mechanisms
- Data, Technology, and Design
- Digital Manufacturing
- Modelling & Control
- Advanced Analytics for Data Science
- Materials and Manufacturing Process Selection in Design
Term 2
- Design for Sustainability
- Biomedical Instrumentation
- Addictive Manufacturing of Healthcare Product
- Human Behaviour, Technology and Design
- Security Tools Lab 1
- Optimisation for Industry Applications
- Smart Sustainable Development
- Systems Security
- Materials and Design for Semiconductor Technology
- Design Project 1: Ideate to Prototype
- Statistical Learning for Data Science
- Secure Software Engineering
- Reliability Engineering and Failure Analysis of Advanced CMOS Devices
- Optimisation for Data Science
- Soft Robotics
- Coding and AI for Human-Centred Design
- Robotics Intelligence
Term 3
- Digital Twins in Data-Driven Decisions
- Product Representation, Manufacturing and Assembly
- Data Science for Healthcare
- Management of Design and Technology
- Advanced Failure Analysis Techniques for Semiconductor Devices
- Field Autonomy
- Wafer Fabrication, Defect Characterisations and Yield Enhancement for IC Production