Information & Systems Engineering (PhD)
Doctorate (PhD)
Program overview
The PhD in Information and Systems Engineering gives you the skills necessary to lead independent and collaborative research for universities, governments and companies, addressing current and future challenges in information and systems engineering. Students have access to state-of-the-art laboratories, established research centres and laboratories in a department that promotes interdisciplinary research and development of information technologies in software and systems engineering.
Program details
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.
Degree Requirements
Please see the Engineering Courses page for course descriptions.
Information and Systems Engineering PhD (90 credits)
| 78 | credits from the Doctor of/Doctorate in Philosophy (PhD) |
Students must complete a minimum of 12 credits of course work at the 6000 or 7000 level as follows: | |
| 8 | credits chosen from courses offered by the Gina Cody School of Engineering and Computer Science. |
| 4 | credits chosen from INSE courses, unless approved by the Graduate Program Director. |
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 required documents. This link can also be found on the Student Hub's My CU Account page.
3. A completed file that is ready to be assessed will include:
- Application form and Fee
- Curriculum Vitae (CV)
- Three Letters of Reference and assessment form
- Statement of purpose
- Transcripts (with mark sheets if applicable) for all post-secondary institutions attended
- Proof of Canadian citizenship (if applicable)
- Applicants whose primary language is not English, are required to submit official language test scores, unless exempted.
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) |
| Information and Systems Engineering |
| Visit the GCS programs page |
For topic area course lists, please visit the Graduate Calendar.
For course descriptions, please visit the Graduate Calendar.
The Concordia Institute for Information Systems Engineering is an interdisciplinary institute, housing state-of-the-art facilities for world-class research and hands-on training. Faculty members are involved in a wide range of research projects sponsored by both the industry and government agencies. The institute is at the forefront of innovative research in current and emerging information systems engineering technologies, including cyber-security, digital forensics, smart grid security, network security, mobile security, blockchain technology, cyber-physical systems security, Internet of Things, machine learning, data analytics and data-driven decision-making, artificial intelligence, lean engineering and supply chain management, intelligent quality systems, smart cities, multi-agent systems, data driven diagnostics and prognostics, network optimization and management, cloud computing, aerospace design engineering, and Industry 4.0.
Concordia’s Gina Cody School of Engineering and Computer Science offers modern, well equipped research laboratories and facilities for graduate students, postdoctoral fellows and other research personnel.
The Concordia Institute for Information Systems Engineering is an international centre of teaching and learning excellence established as a department within the Faculty. It promotes interdisciplinary research and development of information technologies in software and systems engineering. CIISE has three affiliated research laboratories: