- Message from the Chair
- Info Sci Colloquium
- Content Curation in Online Platforms
- Generative AI for the Cyberphysical World
- Making Better Decisions with Human-AI Teams
- Operationalizing Responsible Machine Learning: From Equality Towards Equity
- Data Values: Digital Surveillance and the New Epistemology of Psychiatry
- Computational Methods for Police Oversight and Reform Under Incomplete Data
- Why the First Amendment Protects Misinformation, and Why It Should Continue to Do So
- Tech / Law Colloquium
- IS Engaged
- Graduation Info
- Ethics and Politics in Computing Colloquium
- Info Sci Colloquium
- Contact Us
- Computational Social Science
- Critical Data Studies
- Data Science
- Economics and Information
- Education Technology
- Ethics, Law and Policy
- Human-Computer Interaction
- Human-Robot Interaction
- Incentives and Computation
- Infrastructure Studies
- Interface Design and Ubiquitous Computing
- Natural Language Processing
- Network Science
- Social Computing and Computer-supported Cooperative Work
- Technology and Equity
The MPS curriculum is structured to ready students for industry through a rigorous blend of foundational course work and technical skill-building, culminating with the research and design of a deliverable for real-world implementation by partnering companies. The pages below provide a more detailed look at how this unique, flexible, and inter-disciplinary MPS curriculum is structured.
See the Requirements page for the credit and grade requirements to complete the MPS degree program.
You can review our approved MPS Courses in this Google Sheet. Courses are categorized under the program requirement categories, including electives, and each of the program's four optional focus areas: Data Science, Interactive Technology, User Experience, and Networks, Crowds and Markets. This course listing is updated each semester.
The project-based component is critical to the MPS curriculum. Head to the MPS Project page to learn more about project guidelines, and review some of our students' past projects for leading companies.
The Digital Tech Immersion is a collaboration between Cornell Information Science and Cornell’s Samuel Curtis Johnson College of Business. This sequence gives Master of Professional Studies students the opportunity to take business classes in areas like leadership, project management, and entrepreneurship for scientists and engineers.