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It was great meeting you recently! Thanks for taking the time to chat with us and for visiting here to learn more about our graduate programs.
Below, you'll find additional details about our programs here at Cornell Information Science – Masters of Professional Studies (MPS) and PhD. If you have any questions about our programs, or would like to receive more info about them, drop us a line at CornellGRAD@infosci.cornell.edu. We are happy to help!
MPS
The Master of Professional Studies (MPS) is an interdisciplinary, one-year program that prepares students for successful careers in information science. We offer four optional focus areas: user experience, data science, interactive technology, and networks, crowds, and markets. You will also complete a capstone project to find solutions to real-world problems for company clients, providing experiences that can apply directly to jobs after graduation. Check out what a couple of our MPS student teams created last semester.
Check out what jobs our graduates landed, where, their starting salaries, and how they secured those jobs.
"I'm not sure if I'm the right fit for an MPS. I don't have enough experience in ---" Let's stop you right there. We value a diversity of backgrounds and experiences, and accept students from a range of fields, from architecture and design through engineering, to business and social sciences. You will need to have some basic computer science competence, but we’re definitely not looking exclusively for coders and the tech-minded.
To learn more, have a look at our main MPS page, browse our course offerings, and learn more about our Digital Technology Immersion sequence designed for tech entrepreneurs.
PhD
Info Sci doctoral students are based at either our Ithaca or New York City-based Cornell Tech campuses, depending on academic focus and where the advisor is based. Our PhD candidates explore areas including (but not limited to):
- Human computer interaction/interface design
- applied machine learning
- social media
- computer-supported cooperative work
- digital humanities
- algorithmic mechanism design
- ubiquitous computing and mobile computing
- social and information networks
- critical and interpretive analysis of information systems
- behavioral science approaches to information systems
- big data applications and analysis, markets, technology policy
- information science approaches to societal challenges.
How have our PhDs fared after graduating? They routinely land positions in academia and in industry.
Interested students are encouraged to reach out to potential advisors directly with any questions. To help get you started, have a look at our Research page. Affiliated faculty are listed under each research area.