Partnership with Carnegie Mellon

In January 2003, SMU and Carnegie Mellon University (CMU) forged a four-year strategic partnership intended to leverage the experience and expertise of CMU faculty to assist SMU in establishing an innovative School of Information Systems (SIS) that would offer undergraduates a business-oriented IT education. In the four years that followed, the partnership exceeded its initial objectives, extending beyond efforts related to the new SIS into activities that benefited both partners. In recognition of this success, and of the potential for even deeper collaboration, SMU and Carnegie Mellon agreed in May 2007 to extend their partnership for an additional four years.


In its first phase, the SMU-CMU partnership focused on the following:

  • faculty recruitment, development and mentoring
  • establishment and development of SIS's undergraduate programme, including curriculum and course design
  • establishment of the flagship SMU - CMU Fast-Track programme supported by the Singapore IDA's National Infocomm Scholarship scheme, which enables SIS students to graduate within four-and-a-half years with both a bachelor's degree from SMU and a master's degree from Carnegie Mellon.

In its second phase, the relationship will focus on the following:

  • faculty selection, mentoring and evaluation
  • establishment and growth of SIS post-graduate education, including a research-focused PhD programme, a research-focused Masters programme and a professionally-oriented Masters programme
  • establishment of collaborative research efforts leading to joint faculty research outputs, funded projects and PhD student interactions
  • establishment of appropriate process and feedback for ensuring a systematic approach to redesign innovation and quality improvement for all major SIS educational programmes, research efforts and related administrative support

Going forward, both institutions will continue to develop new funded research projects, which will provide additional resources for our faculty and students to collaborate, and will also reinforce our shared mission to produce high-quality, globally relevant research that impacts both theory and practice.

In March 2011, Singapore Management University (SMU) and Carnegie Mellon University (CMU) in Pittsburgh Pennsylvania, USA, have teamed up to establish the Living Analytics Research Centre (LARC). The Centre will develop new techniques to acquire data on consumer and social behavior and pioneer new approaches to analyse such data to develop applications and methods that will benefit consumers, businesses and society.

To find out more about this partnership, please visit the SMU-Carnegie Mellon Living Analytics Research Centre (LARC) website.


Carnegie Mellon Faculty & Staff Visitors

Research Seminar Mar 9 – 12 2026
Creating “Everyday” Accessible Experiences
Patrick Carrington
Associate Professor
Human-Computer Interaction Institute, School of Computer Science, Carnegie Mellon University
Research Seminar Apr 3 2024
Machine learning for public health decision making
Bryan Wilder
Assistant Professor
Carnegie Mellon University
Faculty Job Seminar Apr 5 2023
Deep Inverse Reinforcement Learning for Robot Navigation
Arne J. SUPPE
PhD, Robotics
Carnegie Mellon University
Faculty Job Seminar Mar 7 2023
Towards Scalable Game Learning and Solving
LING Chun Kai
PhD Candidate
Carnegie Mellon University
Nov 30 – Dec 2 2022
Ramayya Krishnan
Dean and Professor
Heinz College, Carnegie Mellon University
Research Seminar Jun 17 2022
Challenges in Machine Learning and Game Theory for Social Impact
Fei FANG
Leonardo Assistant Professor
Institute for Software Research, School of Computer Science at Carnegie Mellon University
Faculty Job Seminar Mar 30 2021
Towards Human-AI/Robot Collaborative Systems
LEE Min Hun
PhD Candidate
Electrical and Computer Engineering, Carnegie Mellon University
Research Seminar Oct 11 2019
Organizational Issues in Managing Open Source Software
Anthony I. (Tony) WASSERMAN
Professor, Software Management Practice
Carnegie Mellon University, Silicon Valley
SIS Research Seminar Jan 09 2019
Detecting Anomalies in Large Graphs and Sensor Data
Bryan HOOI
PhD Candidate
Carnegie Mellon University
SIS Research Seminar Dec 20 2018
Dynamic Assortment Planning under Discrete Choice Models
WANG Yining
PhD Candidate
Carnegie Mellon University
LARC Research Seminar Jul-06 2018
Causal Modeling and Machine Learning
ZHANG Kun
Assistant Professor
Carnegie Mellon University
LARC VisitorJul 3 - Aug 1 2018
ZHANG Kun
Assistant Professor
Carnegie Mellon University
SIS Research Seminar Mar-16 2018
Advantages and Risks of Sensing for Cyber-Physical Security
Jun Han
PhD Candidate
Electrical and Computer Engineering Department, Carnegie Mellon University
SIS Research Seminar Mar-13 2018
Indoor Human Information Acquisition from Physical Vibrations
Shijia PAN
PhD Candidate
Carnegie Mellon University
SIS Research Seminar Feb-02 2017
Characterizing Street-level Accessibility at Scale
Kotaro HARA
Postdoctoral Fellow, Human-Computer Interaction Institute / Robotics Institute
Carnegie Mellon University