The ESD PhD programme covers a variety of areas including data science, optimization and machine learning, operations research, algorithmic game theory, economics of a variety of networks (transportation, telecommunications, financial, energy, aviation, water distribution, supply chains, etc), using a rigorous approach. It provides students with a strong technical foundation and puts an emphasis on inter-disciplinary and collaborative research. This is enhanced by experiences in industry, teaching, and international exchange.
The programme is mentoring-intensive with a unique flexible advising structure that allows students to work with multiple faculty members and faculty members to engage with multiple students. PhD students also benefit from professional development opportunities with a focus on soft skills, including communication, leadership, and entrepreneurship. Students attending the PhD programme are required to build a strong background in optimization and probability by following a small number of rigorously taught courses in these core areas. Then, the can choose more specialized courses in a variety of areas that reflects their research interests.
The Distinctiveness of the ESD PhD
The ESD PhD programme offers students the opportunity to work with faculty who are at the very forefront of their fields and come from the very best universities in the world, including MIT, Stanford, Berkeley, and Cornell, and with diverse nationalities, including countries from North America, Europe, and Asia Pacific.
The ESD pillar is rapidly growing and will continue to do so for the next several years. ESD faculty are engaged in leading edge research in a wide range of disciplines including optimisation, stochastic modelling, game theory, economics, control science, system dynamics, public policy, organisational and behavioral sciences. They are also engaged in important applications including supply chains, transportation and logistics, healthcare, energy and the environment, service systems, financial engineering, critical infrastructure and security, social networks, telecommunication systems, renewable energy, and electricity markets. ESD faculty are tackling these problems using analytical, computational, empirical, and experimental approaches and methodologies.
Organizations our PhD graduates are Employed after Graduation
- Chinese University of Hong Kong
- Eindhoven University of Technology, based in the Netherlands
- Ethereum Foundation, based in Singapore
- Goldman Sachs, based in Hong Kong
- Indian Railways, based in New Delhi
- JPMorgan Chase, based in Singapore
- Nanyang Technological University
- Nvidia, based in Singapore
- Singapore Management University
- Singapore University of Technology and Design
- SINTEF, based in Norway
- University of Washington, based in Seattle
- Veolia, based in Singapore
To fully benefit from courses offered in the ESD PhD programme, enrolled students are expected to be familiar with the following topics:
For each course, follow the hyperlink to reach the corresponding MIT OpenCourseWare page with a typical syllabus and study material. Furthermore, students must show the ability to program in a modern computer language.
We welcome and encourage applications to the ESD PhD programme from bright and motivated students. Please note the following dates and requirements.
Applicants should possess, or be in the process of receiving, at least a bachelor’s degree from a reputable institution and be in excellent academic standing.
For more information on the application period, please refer to the following link: http://www.sutd.edu.sg/Admissions/Graduate/PhD-Programmes/SUTD-PhD-Programme/Application
The application process takes about 20 minutes and will require the following in order to be complete (incomplete applications are not considered):
- Transcripts and certificates for any academic degrees earned or currently in progress. Please submit your latest official transcripts and an official letter of certification from your institution, indicating the expected date of graduation and/or conferral of your degree if your degree is still in progress. For non-English documents, an official English translation must be provided.
- Test of English as a Foreign Language (TOEFL) or International English Language Testing System (IELTS) score report. If the medium of instruction at your undergraduate institution was not English, please submit your up-to-date TOEFL or IELTS score.
- Graduate Record Examinations (GRE) score report (optional). Please have your up-to-date scores submitted to SUTD. The SUTD university code used by Educational Testing Services is 7398.
- Letters of recommendation from at least 3 references. Letters should preferably come from faculty members who can comment on your scholastic capabilities and achievements as well as your ability to complete the ESD PhD programme. Additional letters may be submitted as desired. Please contact your referees well ahead of time to allow them ample time to prepare and submit the letters by the deadline.
- A photocopy of a government issued identity card with a photograph. Provide a copy of your passport, or similar equivalent document.
- A Statement of Objectives. The Statement of Objectives (about 3,000 words) should describe your experiences, research interests, and reasons for applying for admission to the ESD PhD programme. This is your opportunity to tell the admission committee how your experiences and accomplishments thus far as well as your future goals make a PhD the next reasonable step for you, and why you should be considered.
In addition, while not required, any additional information that supports your application such as awards and publications may be submitted.
Short-listed applicants may be asked to attend an interview (via Skype, telephone, or in some cases, face-to-face).