WPI’s Computer Science department is as diverse and varied as the field of computer science itself, offering courses and specializations in areas such as human-robotic interaction, intelligent tutoring and educational data mining, bioinformatics, computer security and privacy, and graphics and animation, among many others. WPI stays at the forefront of this ever-growing industry so that as society's use of computers expands, our students are confident in their knowledge of developing technologies in the real world through their work on large-scale team projects that make a real difference to the community.
Our hands-on education ensures that graduates of the Computer Science program leave WPI as problem-solvers and accomplished researchers who are ready to hit the ground running and make immediate contributions to this exciting and dynamic field.
Degrees & Certificates
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Student Reflections: Rodica Neamtu
Rodica Neamtu, PhD '17, this year's graduate commencement student speaker, shares why she chose WPI's computer science program and how she plans to pursue her love of teaching, research, and big data.
Meet Our Students
Alex's fun and packed schedule is a great example of embracing a healthy work-life balance at WPI.
Julie has loved computers since elementary school, and WPI is the perfect place to pursue her passions - including computer science, music, and video games.
A computer science undergraduate with three internships under his belt has his sights set on entrepreneurship for the future.
Careers in Computer Science
The widespread and increasing use of computers and information technology has generated a need for highly trained, innovative workers with extensive practical and theoretical expertise. The U.S. Bureau of Labor Statistics continually predicts a faster-than-average growth rate in computer science jobs, thanks to the continued creation and adoption of new technologies.
In the News
The Wall Street Journal quoted Associate Professor Craig Shue, computer science, in this article. The census “is a treasure trove of information for nation-state hackers [because] it hopefully will have information about every American,” Shue told The Journal.
Emmanuel Agu, associate professor of computer science, was interviewed by the BBC regarding his smartphone app that uses machine learning algorithms to analyze a user’s walking pattern to detect alcohol impairment. Uber is seeking to develop an app to allow drivers to gauge passenger’s sobriety.