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Computer Science (PhD)

Program type
Thesis
Primary campus
Sir George Williams (SGW)
Duration
4 years
Credits
90 credits
Start term
Fall, Winter, Summer

Program overview

The PhD in Computer Science program leads to the highest degree offered by the Faculty and is designed to provide students an opportunity to obtain the greatest possible expertise in their chosen field through intensive research. Advancement of analytical and/or experimental knowledge through a combination of specialized courses and a research thesis under the supervision of an experienced researcher forms the main component of the doctoral program. Where possible, research of interest to industry is encouraged.

The objective of the PhD in Computer Science program is to educate highly qualified researchers required for the expansion of fundamental knowledge and technological innovation through research and development, as well as the needs of institutions of higher learning.

Program structure

(90 credits)

Doctor of/Doctorate in Philosophy (PhD)

12

credits of coursework chosen from the list of Engineering Courses and Computer Science and Software Engineering Courses.

8

credits:

ENCS 8501 Comprehensive Examination (0.00)
ENCS 8511 Doctoral Research Proposal (6.00)
ENCS 8011 PhD Seminar (2.00)

70

credits chosen from one of the following Research and Thesis courses:

ENGR 8911 Doctoral Research and Thesis (70.00)
COMP 8901 Doctoral Research and Thesis (70.00)
SOEN 8901 Doctoral Research and Thesis (70.00)

Admission requirements

Admission Requirements

Admission on a full-time basis

  • Master’s degree or equivalent with high standing in engineering or computer science, or in a cognate discipline.
  • Holders of a bachelor’s degree will, in general, be considered for admission to a master’s program only. After completion of a minimum of one term of full-time study in the Master's degree, they may, upon application, be recommended by the Department and approved by the GCS Associate Dean of Research and Graduate Studies for admission to a PhD program.

Admission on a part-time basis

  • Master’s degree with high standing in engineering, computer science or a cognate discipline.

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.

Application process

Application deadlines

FALL

July 1 (Canadian resident)
March 1 (International)

WINTER

November 1 (Canadian resident)
July 1 (International)

SUMMER

March 1 (Canadian resident)
November 1 (International)

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 & funding

Tuition and fees

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.

Awards and funding

Funding packages are generally available for students in thesis-based programs. They come in the form of awards, teaching and research assistantships are offered at the time of admission to most students to allow them to focus on their research and studies. Research and thesis-based students are automatically considered for all entrance graduate awards when they apply to Concordia, provided they meet eligibility criteria. No separate application is required.

The Quebec and Canadian governments offer a number of competitive graduate scholarships. We encourage you to apply for these awards at the same time you are preparing your application.

Other programs of interest

Software Engineering (PhD)

Deepen your understanding of sophisticated engineering methodologies through intensive research and the application of mathematical, computer science and software engineering concepts.

Department

Faculty

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