University of Regina

Overview

The Software Systems Engineering PhD program at the University of Regina emphasizes advanced research and comprehensive training in the design, analysis, and development of software systems. Students collaborate closely with a primary supervisor to conduct original research and complete a thesis that aligns with their area of focus within Software Systems Engineering.

What you'll study

In this research-led doctoral program, students will:

• Be assigned a primary supervisor to guide their research in Software Systems Engineering.
• Have the opportunity to request additional research supervisors, potentially from other engineering disciplines, faculties, or industry, to enhance their research expertise.
• Engage in thesis research that involves developing and refining a research plan in collaboration with their supervisory committee, culminating in a comprehensive thesis.
• Participate in scholarly activities including literature reviews, research design, experimentation, analysis, and dissemination of results through presentations and publications.

Entry requirements

Applicants typically need to possess a thesis-based Master’s degree in a relevant field and have the academic qualifications necessary for doctoral-level work. Those without adequate background may be required to complete specific graduate-level courses as preparatory work, which will not count towards the formal degree requirements.

Additionally, proficiency in English is essential, with acceptable test scores from recognized assessments such as:

• IELTS (Academic): minimum overall score of 6.5
• TOEFL iBT: minimum overall score of 86
• PTE Academic: minimum overall score of 53
• Duolingo English Test: minimum overall score of 120

It is important to ensure that test scores meet the university's validity requirements.

Career prospects

Graduates of the Software Systems Engineering PhD program will be well-equipped for a variety of careers in academia, industry, and research institutions. They will possess the advanced knowledge and skills necessary to tackle complex software system challenges, making them valuable assets in a rapidly evolving technological landscape.