Master of Computer Science with Concentration in Applied Artificial Intelligence

University of Ottawa

Canada,Ontario

 1 Shortlist

24 Months

Duration

CAD 27,471/year

Tuition Fee

CAD 110

Application Fee

Apply Date

Canada, Ontario

Type: University

Location Type: Urban

Founded: 1848

Total Students: 40,000 +

Int. Students: 5,400 +

Campus Detail

Main Campus Address

75 Laurier Ave E, Ottawa, ON K1N 6N5, Canada

Master of Computer Science with Concentration in Applied Artificial Intelligence

Program Overview

Students who wish to pursue studies in computer science leading to the degree of Master of Computer Science (MCS) or Doctor of Philosophy in Computer Science (PhD) can do so in joint programs offered by the School of Electrical Engineering and Computer Science (EECS) at the University of Ottawa and the School of Computer Science at Carleton University under the auspices of the Ottawa-Carleton Institute for Computer Science (OCICS).

The Institute is responsible for supervising these programs and for providing a framework for interaction between the universities in graduate computer science education. In addition to the faculty members from the two computer science programs, the Institute also has members with computer science expertise from other departments.

Concentration Program Description
The Master of Computer Science, Concentration in Applied Artificial Intelligence program combines theory, research and applied skills to facilitate a graduate’s entry into a wide range of careers. Successful completion of the program will prepare graduates with strong analytical skills that are able to effectively work in a variety of settings. Specifically, the graduates of this program will be Computer Science students who are not only proficient in machine learning, but also able to apply their knowledge to facilitate data?driven discovery. They will be immersed into a comprehensive and applied curriculum to develop the necessary knowledge to apply the correct algorithms, to obtain insights from a rich variety of data, and to communicate the results in an effective manner.