Computer Science

The Bachelor of Science in Computer Science at Queen's University offers students a comprehensive foundation in the core principles and emerging trends of computing. Designed for those passionate about technology and innovation, this program provides a rigorous curriculum that combines theoretical knowledge with practical skills. Students will explore a broad spectrum of topics including programming, algorithms, data structures, software engineering, computer architecture, and operating systems. The program also emphasizes the development of problem-solving skills and encourages students to engage in research projects, internships, and collaborative initiatives that prepare them for a dynamic career in the tech industry.

Throughout their studies, students gain proficiency in multiple programming languages, software development methodologies, and modern computing tools. The curriculum incorporates advanced courses in artificial intelligence, machine learning, cybersecurity, and data analysis, reflecting the rapidly evolving landscape of computer science. Queen's University’s state-of-the-art laboratories and dedicated faculty members provide an enriching environment for experiential learning. Opportunities for interdisciplinary collaboration enable students to apply their knowledge in fields such as health sciences, business, and engineering.

The program aims to cultivate not only technical expertise but also critical thinking, creativity, and effective communication skills essential for professional success. Graduates of the Queen’s Computer Science program are well-equipped to pursue careers in software development, systems analysis, research, and beyond. They are also prepared for further study in graduate programs or professional certifications. With a vibrant campus community and strong industry connections, Queen’s University offers a supportive environment for students to innovate, lead, and shape the future of technology.

There are four formal requirements imposed by the School:

• a breadth requirement (which can be met through a combination of graduate courses, an MSc thesis, and work experience);
• a six-page topic proposal;
• a comprehensive examination (which includes a written research proposal and an oral defense);
• and a Ph.D. thesis.

Candidates who fail to complete any requirement within the time limit specified will be required to withdraw from the program. The Ph.D. program committee may approve extension to time limits, subject to the rules of the School of Graduate Studies, and will normally do so for part-time and inactive students.

Ph.D. Breadth Requirement

A candidate for the Ph.D. degree should demonstrate broad knowledge of the various areas of Computing Science, and in particular, the way in which these areas relate to one other.

A token-based approach is used to evaluate the candidate's knowledge. A token represents knowledge of an area such as might reasonably form a graduate course. The following activities would normally count as tokens: a grade of at least B- in a graduate course at Queen's (excluding CISC 897 & CISC 810) or equivalent in standard to one at Queen's, a research project, appropriate work carried out in industry, or a Master's thesis.

The candidate demonstrates breadth by presenting ten tokens with an appropriate distribution among the following areas:

1. Theory of computation,
2. Computer systems,
3. Applications within computing, and
4. Multidisciplinary Studies

Area 4 (Multidisciplinary Studies) is optional and is intended to encourage recruitment of students who may not have a "conventional" computing background but who clearly demonstrate the skills and methodology that we expect of our doctoral students. At least two tokens in each of the core computing areas (theory of computation, computer systems and applications within computing) are required. The School of Computing Graduate Handbook classifies graduate computing courses under the three core areas and therefore gives guidance about how a token in each area can be obtained. Normally, at least 4 courses from the School of Computing are required. The Ph.D. program committee ultimately decides whether a proposed token is acceptable.

Procedure:

When a supervisory committee has been appointed, the candidate presents a plan for meeting the breadth requirements to it for discussion and approval. The proposal must provide a clear description of each token. Courses require calendar description and name of instructor, a thesis token requires title and abstract of thesis and a work token requires job description.

When breadth proposal has been agreed upon, it is sent to the Ph.D. program committee for approval or modification. The Ph.D. program committee ensures that similar requirements are applied to all students.

Where a token is failed, a candidate may appeal to the Ph.D. program committee to substitute another token or to repeat the failed requirements.

The breadth proposal must be approved by the supervisory committee and submitted to the PhD committee before the end of the first term into the program. The breadth requirement must be fulfilled within one year of the first registration to maintain satisfactory progress.

Ph.D. Topic Proposal 

The second School requirement is a 6-page maximum (Queen’s thesis format not including references) topic proposal. This document is to be submitted before the end of the third term after the initial registration in the Ph.D. program. Failure to submit the proposal on time is considered unsatisfactory progress.

The document gives a description of a subject area (one paragraph, roughly comparable to a course description), and a proposed topic for research to be conducted within that area. The document then provides a brief survey of the key and most pertinent literature contributions for the proposed topic.

The Ph.D. supervisory committee provides feedback on the document and their expectation for the Ph.D. Research proposal. The feedback from the supervisory committee gives the expected weights of the literature survey and research plans in the PhD research proposal paper. The feedback is communicated to the Ph.D. committee which in turn communicates it to the student.

Ph.D. Comprehensive Examination

Graduate students enrolled in the Ph.D. program in Computing at Queen's are required to pass a Comprehensive Examination as described in Calendar of the School of Graduate Studies.

The examination ensures that candidates are well-versed of the state of the art in the area in which they intend to pursue research, that they have a critical perspective of the area, and that they are able to formulate a research plan to explore open problems and research opportunities. Candidates should have acquired their own views of the area, be able to be critical of previous work, be able to discuss the area with other researchers at their own level, and able to outline a well-thought research plan.  Although they may not themselves have contributed to the area, they should be as informed and analytical as those who work in it.

The proposal requirement is met by writing a PhD research proposal paper (as defined below), presenting it orally to an examining committee, and answering questions about the proposed research and the associated area.

The PhD research proposal paper is a 40-page maximum (Queen’s thesis format not including references) research proposal. This document is to be submitted before the end of the sixth term after the initial registration in the Ph.D. program. The document should normally cover background material (e.g., motivation and literature survey), the problem to be tackled, methods to be used (e.g., research plans and experimental design), results sought, evaluation metrics (i.e. how research success will be measured), and milestones (including progress to date). The proportions of text for the literature survey and for the research plans will have already been communicated to the student through the feedback received on their topic proposal.

Ph.D. Comprehensive Examination

Graduate students enrolled in the Ph.D. program in Computing at Queen's are required to pass a Comprehensive Examination as described in Calendar of the School of Graduate Studies.

The examination ensures that candidates are well-versed of the state of the art in the area in which they intend to pursue research, that they have a critical perspective of the area, and that they are able to formulate a research plan to explore open problems and research opportunities. Candidates should have acquired their own views of the area, be able to be critical of previous work, be able to discuss the area with other researchers at their own level, and able to outline a well-thought research plan.  Although they may not themselves have contributed to the area, they should be as informed and analytical as those who work in it.

The proposal requirement is met by writing a PhD research proposal paper (as defined below), presenting it orally to an examining committee, and answering questions about the proposed research and the associated area.

The PhD research proposal paper is a 40-page maximum (Queen’s thesis format not including references) research proposal. This document is to be submitted before the end of the sixth term after the initial registration in the Ph.D. program. The document should normally cover background material (e.g., motivation and literature survey), the problem to be tackled, methods to be used (e.g., research plans and experimental design), results sought, evaluation metrics (i.e. how research success will be measured), and milestones (including progress to date). The proportions of text for the literature survey and for the research plans will have already been communicated to the student through the feedback received on their topic proposal.

Ph.D. Thesis

A thesis presenting original research is submitted for approval by a thesis examining committee. The research described in the thesis should constitute a significant contribution to knowledge in an area of Computing Science. It must be original and of such quality as to warrant its publication in a recognized journal.

Candidates should consult the Calendar of the School of Graduate Studies and Research for University Regulations regarding Ph.D. theses. The thesis is examined in accordance with the general rules of the School of Graduate Studies and Research.

Requirements

• Applicants should normally have completed an M.Sc. in Computing Science or a closely related field at an established university. They are admitted in accordance with the general regulations of the School of Graduate Studies. Candidates normally enter the program at the beginning of the Fall term (September).
• Statement of Interest
• For international students, if required, a TOEFL total score of at least 550 (paperbased) or TOEFL iBT minimum scores of: writing (24/30); speaking (22/30); reading (22/30); listening (20/30), for a total of 88/120. Applicants must have the minimum score in each test as well as the minimum overall score.
• Transcripts
• Two current academic recommendations are required from professors under whom the applicant has recently studied.
• IELTS (International English Language Testing System) - score of 7 on the academic module
• Pay the non refundable application fee on-line (currently $105 CDN).

Scholarships

• Basic Funding Package (teaching and research assistantship, internal fellowships, bursaries and incremental growth).minimum $18,000; most students receive between $18,000 and $22,000 per year
• Queen’s Graduate Awards (QGA)
• Graduate Entrance Tuition Awards (GETA)
• International Tuition Awards (ITAs)
• Conference Travel Awards

The Bachelor of Science in Computer Science at Queen's University is a comprehensive undergraduate program designed to prepare students for a wide range of careers in technology, software development, and research. The curriculum provides a strong foundation in fundamental computing principles, programming languages, algorithms, and data structures. Students also gain practical experience through project work, laboratory exercises, and internships, which help to develop their problem-solving skills and technical expertise. The program emphasizes both theoretical understanding and applied skills, ensuring graduates are well-equipped to adapt to the rapidly evolving field of computer science.

Students have the opportunity to explore specialized areas such as artificial intelligence, machine learning, cybersecurity, software engineering, databases, and human-computer interaction. The program also includes foundational courses in mathematics, logic, and discrete structures, which underpin advanced computing topics. In addition to technical courses, students benefit from courses in communication, teamwork, and professional practice, preparing them for collaborative work environments.

Queen's University supports a vibrant research community, and undergraduate students are encouraged to engage in projects alongside faculty members in various research areas. The program offers a range of extracurricular activities, clubs, and competitions to enhance learning and networking opportunities. The university's state-of-the-art facilities and resources provide an ideal environment for practical training and innovation.

Graduates of the Computer Science program are well-positioned for employment in the tech industry, including roles such as software developer, systems analyst, cybersecurity specialist, data analyst, and more. Many students also choose to pursue graduate studies or research opportunities around the world. Overall, the Queen's University Computer Science program aims to develop highly skilled, ethically responsible professionals who can contribute effectively to technological advancements and societal development.

This program is typically completed over three or four years, depending on the course load and student choices. It is accredited by relevant professional bodies, ensuring that the qualification meets industry standards. The university provides comprehensive academic advising and career services to support students throughout their studies and beyond. Whether students are interested in theoretical computing, practical application, or research, the Queen's University Computer Science program offers a robust platform for academic and professional growth.