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Engineered To Be Exceptional

Master of Computer Science Online Program

This program has been built from the ground up to combine the Rice University Computer Science Department’s tradition of excellence with best-in-class online teaching methodology. It offers an intimate and engaging student experience, with small class groups and the 1:1 interactions with faculty that are critical to developing graduate-level skills and thinking. Scholarships are now available to those who qualify. Talk to a coach to learn more.

Scott Rixner

Rice on your resume means something

“Our Computer Science Alumni have gone on to lucrative careers across a wide variety of fields.  For example, past graduates of our MCS program have gone on to careers at Amazon, Facebook, Google, Halliburton, JP Morgan Chase, Microsoft, Schlumberger, Two Sigma, Uber, and many other leading companies. We invite you to join these ranks of Rice-educated Computer Scientists.  Together, we can impact the world.”

Scott Rixner Faculty Director

Utilize the latest online teaching tools

The faculty lead for our Master of Computer Science Online Program is Professor Scott Rixner, who has significant experience in creating coursework for online learning environments. He’s leveraging the expertise Rice has gained in teaching over a million online students to create this one of a kind program.

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Engage with our exceptional faculty, on your schedule

At Rice, we strive to deliver a personalized student experience that is collaborative and engaging. Student/faculty interaction is paramount. With the online learning experience, those interactions with professors and peers are no longer dependent on being on campus. You no longer have to put your career on hold to build your computer science skill set.

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A curriculum created for your career goals

Our program is designed to give working professionals the practical skills needed for career advancement in the tech world. With the flexibility of online learning, students can develop a deep understanding of topics like machine learning and AI, cybersecurity and software engineering.

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