PhD in administration - Information Technology
Phd in administration — information technology.
- Tuition fees and Funding
- Students wanted
Are you planning on an academic career in the management of information technology?
Do your PhD in a milieu dedicated to research and innovation, in an internationally renowned community of professors and researchers.
Your PhD in short
- Offered by HEC Montréal jointly with Concordia and McGill universities and the Université du Québec à Montréal (UQAM). This partnership gives you access to resources (faculty and courses) rarely available elsewhere in the world.
- Full-time program allowing you to complete your studies in four or five years.
- Tuition fees waived and competitive funding for the first four years of your studies.
� For a career in academia
The 21 graduates from this doctoral program between 2010 and 2021 hold research positions. Among them, 19 obtained an assistant professor position at a university before or right after graduating.
“I had 10 years of industry experience behind me, but no knowledge whatsoever of the world of academia, and zero publications. The program exceeded my expectations… ultimately landing a tenure-track position in the best place for me.” Julien Meyer, PhD. Assistant Professor, Ryerson University, Ontario
� Among the best
Students in this doctoral specialization publish their research findings in the world’s top information systems management journals, including:
- European Journal of Information Systems
- Information Systems Journal
- Information Systems Research
- Journal of Management Information Systems
- Journal of Strategic Information Systems
- Journal of the Association for Information Systems
- Management Information Systems Quarterly
Thanks to these publications, HEC Montréal placed 2 nd in Canada and 28 th in the world in the 2018-2021 My Vision Research ranking.
“During my studies, I worked with an expert supervisor who is one of the best scholars in our field. I received support in applying for external funding and awards. I worked on different research projects, attended international conferences, and taught various courses. My PhD from HEC Montréal has made me a more confident and capable researcher and teacher.” Mohammad (Mo) Moeini, Associate Professor in Information Systems at Warwick Business School (UK). Graduate of the PhD in Administration (2015)
Widely varied research interests
- Effects of simultaneous IT use
- Electronic government
- impact of mobile technologies
- integrated systems
- IT acceptance
- IT and teaching
- IT implementation
- IT in the healthcare sector
- IT outsourcing and offshoring
- IT project management
- IT strategic management
Our PhD students and candidates
See the list of students in this specialization on Google Scholar.
World-class IT research groups
HEC Montréal offers doctoral students in information technology an exceptional scientific milieu headed up by GReSI , a research group of renowned scholars, including five chairs and four professorships.
Chair in Strategic Management of Information Technology , directed by Professor Suzanne Rivard , Fellow of the Association for Information Systems (AIS) and Senior Editor emeritus of Management Information Systems Quarterly
Research Chair in Digital Health , directed by Professor Guy Paré
NSERC-Prompt Industrial Research Chair in User Experience , directed by Professor Pierre-Majorique Léger
Canada Research Chair in Digital Communication and Multitasking , directed by Professor Ann-Frances Cameron
Canada Research Chair in Enterprise Social Media and Digital Collaboration , directed by Professor Wietske Van Osch
Research professorships
- Research professorship in strategy and management information systems: Professor Ana Ortiz de Guinea Lopez de Arana
Research professorship in technology and aging: Professor Stefan Tams
Research professorship in development and use of information systems: Professor Bogdan Negoita
Research professorship in responsible adoption and diffusion of information technologies: Professor Camille Grange
Be part of innovations in research and education
HEC Montréal is home to Tech3Lab , the largest user-experience (UX) laboratory in North America. It’s a unique milieu for advanced research in human-machine interaction and the user experience. Watch the information webinar
HEC Montréal plays a leading role in the SAP University Alliances Community. The teaching innovations developed in the ERPsim laboratory are producing huge changes in the way ERP concepts are taught. Our graduates have the technical and teaching skills to use these active learning methods in the classroom.
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Computer Science (Doctoral program)
Program details.
Faculty Science
Degree Doctor of Philosophy (PhD)
Delivery method Hybrid online/in-class
Location Ontario Tech University, North Oshawa
Start dates September, January or May
Length Approximately 48 months, based on full-time study
Program load Full-time
Program format Courses with PhD thesis
The goal of the PhD program is to produce a new breed of computer science graduates that have a broad background in information technology along with project management and people skills. Graduates of this program will not only have strong technical expertise in their particular field, but will also have the ability to work effectively in interdisciplinary teams and be able to tackle problems that require both technical and non-technical solutions.
The program differs from most existing computer science programs as it concentrates on both applied research and the development of professional skills. The intention is that most of the graduates from this program will build careers in industrial research and software development. The program also prepares graduates for careers in academia, but it is expected that most of the graduates from this program will select careers in industry. The program focuses on the skills required for successful careers in industry, reflecting the university's goals to be market-oriented and to provide high-quality professional education.
The PhD program gives students the opportunity to work in teams, develop leadership skills, and master oral and written communication skills.
- Digital Media Use of computer technology in the implementation of various forms of media including audio, graphics, computer animation, visual analytics, computer games and computer vision.
- Information Science Distribution and management of information including database systems, machine learning, services computing, intelligent systems and health informatics.
- Networks and IT Security Design, implementation and management of computer networks, as well as security issues such as cryptography, malware analysis and secure communications.
- Software Design Process of designing and implementing software systems, including software engineering, distributed computing, programming languages and software architecture.
- Admission requirements
- Application deadlines
- How to apply
- Completion of a master's level degree in computer science, computer engineering, information technology or software engineering from a Canadian university, or its equivalent from a recognized institution.
- A minimum B+ average (GPA: 3.3 on a 4.3 scale or 77 to 79 per cent).
Required supporting documents:
Please see the checklist of required documents for a list of supporting documentation that must be submitted with your application.
Additional requirements:
Admission depends on the availability of a research supervisor. It is recommended that applicants contact a potential supervisor before formally applying.
In their statement of academic intent, applicants should include the type(s) of course(s) they feel they are suitable to teach as teaching assistants.
Required test scores for English language proficiency:
See English language proficiency for the minimum required test scores for this program.
Please see application deadlines for specific dates. Note that the application deadlines listed are for both the online application and all supporting documentation.
Applications for admission to all graduate studies programs are submitted online. There are five steps you must go through to complete the application process. See application process and requirements for step-by-step instructions.
Many of our graduate programs are extremely competitive; the number of qualified applicants normally exceeds the number of seats available for each intake. Satisfaction of minimum entry requirements does not ensure admission.
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Research areas
- Artificial intelligence
- Computer graphics
- Computer vision
- Data science
- Distributed computing
- Health informatics
- Information visualization
- Network design
- Network security
- Serious games
- Software engineering
- Ubiquitous computing
- Virtual reality
Learn more about the research areas within this program and find research experts by visiting the faculty’s website and the university's Expert Centre .
Additional information
Internal awards and funding.
Applicants to research-based graduate programs who are studying full-time are automatically considered for some types of funding at the time of admission.
Types of funding that do not require an application:
- Entrance scholarships
- Minimum funding packages
- Teaching assistantships, research assistantships and graduate research assistantships
For more details on the above funding opportunities, see graduate student awards and funding .
Please note: Part-time students are not eligible for the above funding opportunities.
External awards and funding
Graduate program applicants are encouraged to apply for external awards to help finance their education. The application process differs for each competition, so review the information carefully to determine where and when you must apply. Please note: The majority of these awards are for domestic or permanent residents only.
Tuition fees for graduate programs are charged on a flat-fee or fee-per-credit basis and vary by program and student status.
For current, specific fees and details on flat-fee versus fee-per-credit programs, please see tuition and fees .
Contact the program:
Faculty of Science 905.721.3050 [email protected]
Contact the School of Graduate and Postdoctoral Studies:
905.721.8668 ext. 6209 [email protected]
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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 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
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. |
Application process
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.
Application deadlines
(September) | (January) | (May/June) |
For topic area course lists, please visit the Graduate Calendar .
For course descriptions, please visit the Graduate Calendar .
Faculty research interests
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.
Research units & facilities
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 :
- Computer Security Laboratory
- Design Laboratory
- Telecommunications Service Engineering Research Laboratory
- Information Systems Security (MEng)
- Information Systems Security (MASc)
- Information & Systems Engineering (PhD)
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Related documents
- PhD proposal information
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- PhD comprehensive exam information
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Our PhD program in Information Technology addresses the needs of industry and society in the IT area, providing students with the skills they will need to succeed in this demanding and ever evolving field.
Are you planning on an academic career in the management of information technology? Do your PhD in a milieu dedicated to research and innovation, in an internationally renowned community of professors and researchers.
The PhD program in Computer Science focuses on applied research with the aim of producing highly trained researchers for industry and academia. There are four fields in the program: Digital Media, Information Science, Networks and IT Security, and Software Design.
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The doctorate program features advanced scholarly research at the intersection of information, technology, people, and communities. In private and public institutions, apply the PhD to professional practice functions such as research, systems analysis and design, and administration.
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.