

PhD in Mathematics, Ryerson University International College (RUIC)
Toronto, Ontario
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48 Months
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About this course
This program welcomes motivated students seeking to acquire advanced mathematical skills to further their academic or industry careers. MSc students are expected to produce high-quality work such as a thesis or research paper, and learn effective communication skills for technical and scientific reports. The PhD program emphasizes applied research and integrates mathematical modeling in biomathematics, discrete mathematics, and financial mathematics. Both degrees are rooted in three main research groups: Financial mathematics, Biomathematics and fluids, and Discrete mathematics and networks. It's designed to prepare students for careers in academia or industry through a deep engagement with research.
Why this course is highly recommended
This program is ideal for students who want to build strong mathematical research skills grounded in applied areas. Its focus on core research groups and real-world applications makes it suitable for those aiming for careers in academia or industry, especially in fields like biomathematics, financial mathematics, and network analysis.
Specialisation
The program offers specialisation in three main research areas: Financial mathematics, Biomathematics and fluids, and Discrete mathematics and networks. These focus areas allow students to develop expertise in their chosen field of mathematical research, aligned with their academic or professional goals.
Course fees
Application fees
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1st year tuition fees
15.65L
Living cost
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Living cost
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Degree requirements
To pursue the MSc in Applied Mathematics, applicants should hold a four-year undergraduate degree in mathematics or related fields with adequate coursework, and a minimum GPA of 3.00/4.33, though a higher GPA of 3.33/4.33 is strongly recommended. For the PhD in Mathematical Modelling and Methods, applicants must have completed a master's degree in mathematics or a related field with a minimum GPA of 3.33/4.33.
English language test
IELTS
7.5
PTE
72
TOEFL
105
DUOLINGO
120
Career prospects
Graduates from this program are well-prepared for careers in academia and industry. The research-intensive nature of the program and its focus on applied mathematical modeling provide graduates with skills applicable in fields such as finance, biomedicine, network analysis, cryptography, data mining, and various engineering and technology sectors.
FAQs
What are the admission requirements for the MSc program?
Applicants need a four-year undergraduate degree in mathematics or related fields, with a minimum GPA of 3.00/4.33, and must submit a statement of interest, résumé/CV, transcripts, and two recommendation letters.
How competitive is the admission process?
Since the program is highly competitive, meeting the minimum requirements does not guarantee admission. Applicants are encouraged to submit early to improve their chances, especially for financial support.
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