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Computer Science (MCompSc)

Master of Computer Science (MCompSc)

Program overview

The Master of Computer Science provides students with an opportunity to broaden their base of knowledge and increase their research capabilities in a specific area of computer science. The program should appeal to students of related disciplines, such as mathematics and electrical and computer engineering, who have successfully completed core courses in computer science. It is ideal for those in business and industry who wish to gain a solid education in computer science and/or software engineering at the theoretical and practical levels. The MCompSc consists of coursework and research, culminating in the presentation of a thesis. Graduates can pursue their training at the Doctoral level (PhD), the department’s highest degree, and attain the greatest possible expertise in their chosen fields.

Program details

Admission Requirements

  • Bachelor’s degree in computer science or other disciplines such as engineering, sciences, and mathematics with very high standing.

Proficiency in English

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.

Degree Requirements

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.

Computer Science MCompSc (45 credits)

16

credits of courses with a minimum of 8 credits 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

Any remaining credits may be chosen from the following Topic Areas:

C08 - Developments in Software Engineering
C09 - Software Development

C10 - Software Architecture and Design
C11 - Software Maintenance and Quality

C12 - Software Development Processes and Management
C13 - Software Engineering
C16 - Cognate Disciplines

or from:

  COMP 6961 Graduate Seminar in Computer Science (1.00)

29

credits:

  COMP 7941 Master’s Research and Thesis (29.00)

Please apply online. Read the how-to guide for application procedures. 

1. Submit your application and pay a $100 CAD application fee. A student ID number will be issued

2. Upload your documents online. You can also upload your documents by logging in to the Student Hub and going to My CU Account

3. A completed file that is ready to be assessed will include:

4. An admission offer will not be issued until a supervisor match has been made. Students are encouraged to review the list of faculty members' field of interests and directly contact those with whom you would like to work.  

For initial assessment purposes, scanned and uploaded copies of documents are accepted. To finalize a file, once admitted, Concordia University will require official documents.

  DEGREE
 
FALL
(September)
WINTER
(January)
SUMMER
(May/June)
Computer Science        
Canadian / International /
Permanent Resident
MCompSc June 1 Oct. 1 Feb. 1

Sample classes
  • Topics in Software Engineering
  • Software Engineering Development Processes
  • Software Comprehension and Maintenance
  • Advanced Programming Practices

View more courses & descriptions

  • Mobile computing and wireless networks
  • distributed systems
  • computer networks and protocols
  • parallel algorithms and architectures
  • ad hoc networks
  • numerical analysis and scientific computing
  • semantics of programming languages
  • databases
  • knowledge based systems
  • data mining
  • semantics web
  • symbolic and algebraic computation
  • combinatorial algorithms
  • mathematical programming
  • artificial Intelligence
  • natural language processing
  • pattern recognition
  • image processing
  • 3D graphics and computer gaming
  • visualization techniques
  • multimedia computing
  • bioinformatics
  • software architecture
  • requirement engineering
  • software measurement
  • user interface
  • software comprehension and maintenance
  • dependable software.
Learn more about our research expertise or explore CENPARMI, our research centre.

Graduate students of computer science and software engineering may apply for positions as teaching assistants within the department. All candidates must have good language skills.

Learn more about Teaching Assistantships

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