Tuition & funding
The Master of Applied Computer Science (MApCompSc) increases students' knowledge of both the theoretical and practical applications of computer science. The program is designed for those who want to reorient their careers toward computer applications in industry and commerce. The degree is full-time, with a normal duration of two years. However, candidates employed in business, government or other academic programs may study on a part-time basis. Graduates of the MApCompSc are highly sought-after as qualified professionals able to design and create new softwares, modify and test existing ones, devise efficient algorithms, and implement techniques for computerized applications in a broad range of industries. The program offers students a wide variety of stimulating core and elective courses on a complete range of computer science and software engineering topics.
Fully-qualified candidates are required to complete a minimum of 45 credits.
Please see the Computer Science and Software Engineering Courses page for course descriptions and prerequisites.
credits chosen from the Applied Computer Science MAPCompSc Core
Note: All Core courses must be successfully completed within the first four terms of the program.
credits chosen from Applied Computer Science MAPCompSc Electives
credits minimum chosen from the following Topic Areas:
C01 - Developments in Computer Science
C02 - Parallel and Distributed Systems
C03 - Image Processing/Pattern Recognition and Graphics
C04 - Software Systems and Languages
C05 - Information Processing and Management
C06 - Scientific Computation and Algorithms
C07 - Artificial Intelligence and Human-Machine Communication
credits maximum chosen from the following computer science courses at the 6000 level:
• COMP 6281 Parallel Programming (4.00) • COMP 6311 Animation for Computer Games (4.00) • COMP 6331 Advanced Game Development (4.00) • COMP 6341 Computer Vision (4.00) • COMP 6371 Immersive Technologies (4.00) • COMP 6421 Compiler Design (4.00) • COMP 6721 Applied Artificial Intelligence (4.00) • COMP 6731 Pattern Recognition (4.00) • COMP 6741 Intelligent Systems (4.00) • COMP 6771 Image Processing (4.00) • COMP 6791 Information Retrieval and Web Search (4.00)
Remaining credits may be chosen from the topic areas and courses listed below:
C08 - Developments in Software Engineering C09 - Software Development
C10 - Software Architecture and Design
C11 - Software Maintenance and Quality
C13 - Software Engineering
C16 - Cognate Disciplines
• COMP 6971 Project and Report I (4.00) • COMP 6981 Project and Report II (4.00) • ENCS 6921 Industrial Stage and Training (4.00)
Students may select a maximum of five one-credit courses from the following:
• COMP 6961 Graduate Seminar in Computer Science (1.00)
E09 - Professional Leadership Skills
Proficiency in English. Applicants whose primary language is not English must demonstrate that their knowledge of English is sufficient to pursue graduate studies in their chosen field. Please refer to the English language proficiency page for further information on requirements and exemptions.
All applicants: Canadian / International / Permanent Resident
February 1 (all applicants)
July 1 (all applicants)
January 30 (all applicants)
Priority will be given to complete applications submitted by the deadline. In some cases, programs may continue to accept applications as long as there is space available.
International students: Considering the waiting period involved in meeting the entry requirements to Canada and Quebec, we strongly encourage international applicants to apply early and submit supporting documents prior to the deadline.
Tuition and fees of the program may depend on your student status, among other key factors. Estimate these costs based on the most common situations.
Funding packages are generally available for students in thesis-based programs. Course-based students may be eligible for a number of donor awards, and may consult with their department for program-specific opportunities.
Conduct research with faculty members that are leaders in various fields of computer science. Engage in research aimed at advancing the design of technological systems.
Department of Computer Science and Software Engineering
Gina Cody School of Engineering and Computer Science
© Concordia University
Connect with us