We're Hiring!

The Department of Computer Science at Colgate University invites applications for a tenure-stream position in computer science at the rank of Assistant Professor beginning fall semester 2018. For more information and to apply, visit https://academicjobsonline.org/ajo/jobs/9813.

Our Study

Computer science is the study of algorithmic processes and the machines that carry out these processes. It is a mix of theory, application, design, and experiment. Methods and ideas drawn from computer science are increasingly important in other scientific disciplines, as well as the humanities and social sciences. Most of all, we think computer science is fun. Our energetic faculty have active research programs and typically involve student researchers during the summer and the academic year. Check out our department highlights to learn more about computer science and our department.

We have a growing pool of highly successful graduates. Our students continue on to successful careers in a wide variety of fields including the computing and financial industries. A number of our students continue on to graduate work as well. Computing research and technology can change the world for the better, and there are many great reasons for choosing computer science. Contrary to fears generated by outsourcing, computer science-related jobs are still some of the best, fastest-growing, and highly-paid positions available to freshly-minted graduates.



Contact Information

Computer Science Department
Colgate University
McGregory Hall, 3rd Floor
13 Oak Drive
Hamilton, NY 13346
(tel) 315.228.7719
Charlotte Jablonski, Administrative Assistant
cjablonski@colgate.edu

Highlights & Photos

Alumnus Ryan Diew '17 appears on Shark Tank Alumnus Ryan Diew '17 appears on Shark Tank

Computer-science major Ryan Diew '17 pitches his app, Trippie, developed through Colgate's Thought Into Action (TIA) program, on ABC's Shark Tank. Read the full story on the Colgate News website.


Upcoming Events

Recent Events

  • 17

    Oct

    2017

    Dept Tea: Speeding Up Maximum Clique Computation with Graph Partitioning

    Location: 319 McGregory Hall

    From 11:30 a.m. to 12:20 p.m.

    Speaker: Rohan Chaudhari '19

    Abstract: In a social network, a clique is a group of mutual friends. A clique is maximum if it has the largest cardinality among all cliques in the graph. This past summer, I worked with Prof ...

  • 3

    Oct

    2017

    Dept Tea: Getting Jobs, Internships, and Grad Programs in Tech

    Location: 319 McGregory Hall

    From 11:30 a.m. to 12:20 p.m.

    Speakers: James Reed, Career Services

    Getting an internship, full-time job, or admission or graduate school can seem like a daunting task. We'll cover what steps you should take to find and apply for jobs, internships, and graduate programs in ...