Prospective and Accepted Students
We invite you to click below to view more information about our department, including upcoming virtual events.
B.S. in Computer Science
Our flexible curriculum accommodates students with diverse interests. Create an open source project, work on a research problem, or complete a dual degree in Mathematics, Biology, Computer Systems Engineering, Cognitive Science, Games and Simulation Arts and Sciences, or Information Technology and Web Science.
Ph.D and M.S. in Computer Science
Come and study with our internationally recognized faculty. Work on foundational research such as data science, distributed computing or security to network science—research that has real-world applications with a societal impact.
Congratulations to our 2020 Graduates!
Congratulations! Click below to view our virtual 2020 Commencement ceremony that took place on May 22, 2020.
The Department of Computer Science at Rensselaer Polytechnic Institute, in Troy, NY is aggressively growing with a focus on Artificial Intelligence (AI), Machine Learning (ML) and Cybersecurity (Cyber), broadly defined to cover fundamental theoretical underpinnings, core algorithms, software and systems, and related fields that contribute to or leverage these foci.
Dr. Joe Flaherty, founding chair of the Department of Computer Science, former Amos Eaton Professor and former Dean of the School of Science, passed away Thursday morning March 29 at St. Peter's Hospital in Albany. Joe set a tone of collegiality, respect and excellence that still defines the department and will continue for many years into the future. He will be sorely missed. A memorial service will be held on Saturday April 21 at 9:30 at the RPI campus Chapel and Cultural Center. His on-line obituary can be read at: http://dufresneandcavanaugh.com/tribute/details/1088/Dr-Joseph-Flaherty/...
Department of Computer Science invites applications for multiple Lecturer, Senior Lecturer, or Professor of Practice positions with expertise in one or more of the broad areas of computer science: Theory and Algorithms; Systems and Software; Artificial Intelligence and Data; and Vision, Graphics, Robotics, and Games, along with the ability to teach other introductory computer science courses. The initial appointment is for three academic years, with the expectation of subsequent renewal.
The article entitled: "Airplane Flight Safety Using Error-Tolerant Data Stream Processing", features Varela's data driven avionics research for flight safety. Article: http://www.brightcopy.net/allen/aesm/32-4/index.php#/6
Elsa has a PhD in Computer Science from Rensselaer Polytechnic Institute. This article describes Elsa's work on HPC at Livermore Computing. https://computation.llnl.gov/about/our-people/highlights/elsa-gonsiorowski
George Slota has been has been granted a prestigious National Science Foundation Faculty Early Career Development (CAREER) award to develop approaches that match exascale supercomputers with petascale data.
In the midst of the COVID-19 pandemic, as Rensselaer leaders prepared to bring students back to campus for the fall 2020 semester, they relied on a powerful algorithm to determine a testing schedule that, along with other tools, has helped maintain a safe environment on campus. That algorithm is now publicly available as a free online app.
Francine Berman, the Rensselaer Polytechnic Institute Hamilton Distinguished Professor of Computer Science, has been selected by the National Academy of Public Administration for inclusion in its 2020 Class of Academy Fellows, in recognition of her years of public-focused service and expertise.
TROY, N.Y. — More strategic and coordinated travel restrictions could have reduced the spread of COVID-19 in the early stages of the pandemic, data confirms. The conclusion, available in preprint on MedRxiv, an online repository of papers that have been screened but not peer reviewed, stems from new modeling conducted by a multidisciplinary team of scientists and engineers at Rensselaer Polytechnic Institute.
As the volume of available information expands, the fraction a person is able to absorb shrinks. To break this cycle, computer scientists say we need new algorithms that prioritize a broader view over fulfilling consumer biases.