Computer Science
Location: Goldberg Computer Science Building
6050 University Avenue
P.O. Box 15000
Halifax, NS
B3H 4R2
Telephone: (902) 494-2093
Fax: (902) 492-1517


The Faculty of Computer Science offers both masters and doctoral degree programs. The masters program is available either with a traditional research-oriented thesis option, or with a project option and more courses designed for students interested in an advanced professional degree. Research in the Faculty has an interdisciplinary approach and addresses a number of areas. Please see the Faculty website for information on these research areas. There are approximately 30 full-time professors in the Faculty, and approximately 200 students registered in the masters and doctoral programs.

The Faculty of Computer Science has a permanent home in the award winning Goldberg Computer Science Building completed in the autumn of 1999, and the top floor of the Mona Campbell Building. Graduate computing facilities include networks of Unix workstations, Windows PCs, and Macintosh computers, as well as large scale servers and massive data storage facilities. The faculty also has access to high performance computing facilities. The Faculty's Network Performance Lab is equipped with network testing software, routers, and switches for developing secure virtual private networks. The Computer Graphics and Visualization Lab houses graphics workstations as well as specialized equipment, such as a laser scanner and eye tracking hardware. The Electronic Commerce Lab utilizes award winning e-business software to research new concepts in online commerce and web services. The faculty's research in semantic web based approaches to clinical decision support systems is at the cutting edge of both health informatics and semantic web research. The Faculty of Computer Science building houses a fast, secure, fully switched network, in addition to being fully wireless. Gigabit ethernet serves as the backbone of the network with a connection to CA*net3, the world's first national optical R&D network.

The Institute for Big Data Analytics is housed in the Faculty of Computer Science, where it serves as a centre of excellence both nationally and internationally in the field of Big Data Analytics.  Directed by Dr. Stan Matwin CRC, the Institute coordinates and participates in a wide range of research projects involving students, faculty and industrial and governmental partners as well as presenting a program of guest seminars and training courses.  From fall 2014 onwards the Institute is offering a limited number of MSc and PhD scholarships funded by the NSERC CREATE initiative. Further details can be found on the Institute's website

NOTE: Completion of any or all software engineering courses offered by the Faculty of Computer Science does not qualify persons to hold the designation “Professional Engineer” as defined by various Provincial Acts governing the Engineering Profession.

The most up-to-date information on our graduate programs, admission requirements, academic regulations, graduate courses and research activities is available on the following website: (programs, graduate).