Queen's University

Overview

The PhD in Mathematics and Engineering at Queen's University is designed to foster advanced research that bridges mathematical theory and engineering practice. This program offers a unique opportunity to develop expertise in various fields, including communications, control systems, mechatronics, and data-driven methodologies such as artificial intelligence and statistics.

What you'll study

• Research training and coursework: Engage in graduate-level studies tailored to enhance your mathematical and engineering foundations relevant to your research topic.
• Advanced study in core areas: The program encourages specialization in at least two subject areas, including Analysis, Algebra, Probability and Statistics, and Geometry and Topology, while ensuring a strong foundation in related disciplines.
• Specialized research development: Develop your capability to apply mathematical and statistical knowledge through literature reviews, preliminary investigations, and formulating research problems.
• Applied focus: For those concentrating on applied mathematics and statistics, the program emphasizes practical modeling and analytical skills to enhance engineering research.
• Thesis/dissertation: The culmination of your degree will be a substantial research thesis that showcases your original contributions to the field, with specific requirements confirmed with your supervisor and department.

Note: Module selection, milestones, and the balance between coursework and research may vary based on your academic background and supervisor's guidance.

Entry requirements

Applicants are typically required to hold a strong academic record, with a focus on achieving a competitive GPA. Specific requirements may vary, so it is advisable to consult the university for detailed information regarding admission criteria.

Career prospects

Graduates of the PhD program in Mathematics and Engineering can pursue a wide range of career opportunities in academia, industry, and research institutions. Potential career paths include roles in engineering design, data analysis, research and development, and teaching at the university level, among others. The skills developed during this program are highly sought after in both technical and managerial positions across various sectors.