Curriculum

SUTD’s curriculum is designed to prepare students for the future.  It is designed with an outside-in approach that starts with considering the industry’s evolving needs and delves deeply into challenges the world faces today.

Design

Design is literally everywhere at SUTD. It covers all technically grounded design, including products, processes, services, and systems that involve the full value chain from conception, development, prototyping, marketing, manufacturing, profitability, maintenance, to sustainability.
 
Students are not passive spectators in their own learning in SUTD where a vibrant design and hands-on culture within and outside the classroom is supported by the 4-Dimensional Big-Design (4D Big-D) framework.
 
Students work on design projects within each subject, across subjects within the term and across academic years. They also make their own opportunities outside of the formal curriculum to explore their design interests, be involved in research, be entrepreneurial and innovate.

Artificial Intelligence/Data Science

In order to prepare students for the digital economy as the world gears towards a Fourth Industrial Revolution, all SUTD students will be equipped with knowledge in artificial intelligence/data science (AI/DS).
 
This is achieved through the incorporation of various AI/DS topics throughout the course curriculum, regardless of their chosen pillar.  Students interested to acquire deeper knowledge in AI/DS may also choose to take up an AI Minor or an AI Track.

Courses

Computational Thinking for Design
Data Driven World
Probability and Data Analysis
01.112 Machine Learning
50.038 Computational Data Science
Database & Big Data
Distributed Computing & Systems
40.220 The Analytics Edge
40.002 Optimisation
01.113 Statistical and Machine Learning
50.006 User Interface Design and Implementation
50.039 Theory & Practice of Deep Learning
50.035 Computer Vision
50.021 Artificial Intelligence
50.040 Natural Language Processing
30.202 Design of Intelligent Integrated Circuits & Systems
30.119 Intelligent Robotics
Numerical Methods and Analysis for Science and Engineering
Applications of AI
Humanities, Arts and Social Sciences

All students are required to take up to seven classes in HASS. HASS subjects complement the technical subjects to provide students with a grounding in the practice of inquiry, analysis, interpretation and presentation, developing critical thinkers.  Having a good grounding in HASS also provides students with a good understanding societal needs.
 
Find out more about the HASS electives.


Brochures

Undergraduate Brochure
ASD Brochure
EPD Brochure
ESD Brochure
ISTD Brochure
HASS Brochure
SHARP Brochure
STEP Brochure
SUTD-Duke-NUS Special Track
SUTD-SMU DDP Brochure