Queen’s University Computer & IT Programs

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Queen’s University is a distinguished academic institution located in the heart of Kingston’s historic district in Ontario. Since its establishment in 1841, Queen’s University has cultivated a rich history and remains dedicated to nurturing a closely-knit community of scholars. The University actively fosters creativity and instills critical thinking skills in students through its renowned and challenging academic programs. The beautiful campus features limestone buildings and lush surroundings, providing a captivating environment for students to gain a comprehensive education. Queen University’s diverse student body promotes global learning by welcoming multiple perspectives.

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Queen's University
Queen’s University

Queen’s University provides students with a cutting-edge education that equips them for success in the quickly expanding field of technology. The University offers various undergraduate, postgraduate, and doctorate programs in computer and information technology. A bachelor’s degree in computer science from an undergraduate institution gives students a strong foundation in programming, algorithms, and software engineering. It also offers specialized cybersecurity, data science, and artificial intelligence courses.
Queen’s University offers various computer and information technology postgraduate degrees for individuals seeking advanced knowledge. The master’s programs allow students to explore particular areas of computing, including computer networks, machine learning, and human-computer interaction. Additionally, the Master of Science in Computer Science program provides research opportunities that allow students to contribute to the most recent developments in the field. Prospective researchers seeking to undertake innovative studies and create noteworthy advancements in the domain may choose to enroll in Queen’s University’s Ph.D. programs in Computer and Information Technology. Under the direction of knowledgeable faculty members, students can participate in high-impact research as part of the demanding and intensive PhD programs. Graduates are prepared for leadership positions in academia, business, and research institutes, emphasizing original research and critical thinking.

List of Computer & IT Programs

Undergraduate Programs

Course NameSpecializationThesis -NonthesisDisciplineDegree LevelDuration YearsIntake MonthDeadline DateFee Per Year
Bachelor of Computer ScienceComputer ScienceNon-ThesisComputer & ITbachelors3,4September,1-February,54908
Bachelor of Computing & MathematicsComputing & MathematicsNon-ThesisComputer & ITbachelors3,4September,1-February,54908
Bachelor of Computing & the Creative ArtsComputing & the Creative ArtsNon-ThesisComputer & ITbachelors3,4September,1-February,54908
Bachelor of Computing & the Creative ArtsComputing & the Creative ArtsNon-ThesisComputer & ITbachelors3,4September,1-February,54908
Bachelor of Software Design (Hons)Software DesignNon-ThesisComputer & ITbachelors3,4September,1-February,54908

Postgraduate Programs

Course NameSpecializationThesis -NonthesisDisciplineDegree LevelDuration YearsIntake MonthDeadline DateFee Per Year
Master of Computing By CourseworkComputingNon-ThesisComputer & ITmasters1January,September,15-January,15-January,12927
Master of Computing By ProjectComputingNon-ThesisComputer & ITmasters1.5January,September,15-January,15-January,12927
Master of Computing By ResearchComputingThesisComputer & ITmasters2January,September,15-January,15-January,12927
Master of Management in Artificial IntelligenceManagement in Artificial IntelligenceNon-ThesisComputer & ITmasters1May,rolling_admissions86640

PHD Programs

Course NameSpecializationThesis -NonthesisDisciplineDegree LevelDuration YearsIntake MonthDeadline DateFee Per Year
Doctor of Philosophy in ComputingComputingThesisComputer & ITphd4September,15-January,15-January,5773
Doctor of Philosophy in Management - AnalyticsAnalyticsNon-ThesisComputer & ITphd4September,15-January,7950
Doctor of Philosophy in Management - Digital TechnologyDigital TechnologyNon-ThesisComputer & ITphd4September,15-January,7950

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Frequently Asked Questions

What programs does Queen's University offer in computer and information technology?

Queen's University offers a range of programs in computer and information technology, including undergraduate degrees in computer science, specialized courses in cybersecurity, data science, and artificial intelligence, as well as postgraduate master's degrees and Ph.D. programs focusing on various areas of computing.

What is the admission process for undergraduate computer science programs at Queen's University?

The admission process for undergraduate computer science programs at Queen's University typically involves submitting an application through the Ontario Universities' Application Centre (OUAC), providing high school transcripts, and meeting specific academic requirements. Prospective students should check the university's website for detailed admission criteria.

Are there research opportunities available for graduate students at Queen's University?

Yes, Queen's University provides various research opportunities for graduate students, particularly in its Master's and Ph.D. programs in Computer and Information Technology. Students can work under the guidance of experienced faculty members and engage in high-impact research that contributes to advancements in the field.

How does Queen's University support international students in computer and information technology?

Queen's University supports international students by promoting a diverse learning environment, offering various resources, such as orientations, academic advising, and cultural events, to help them adjust and excel in their studies. The university also welcomes multiple perspectives, enriching the educational experience for all students.

What career opportunities are available for graduates of Queen's University in computer and information technology?

Graduates of Queen's University with computer and information technology degrees are well-prepared for various career opportunities, including positions in academia, business, and research institutes. They often take on leadership roles and can work in diverse fields such as software development, data analysis, cybersecurity, and artificial intelligence.

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