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While the two program disciplines have distinct course and examination requirements, they share significant overlap and interaction from both theoretical and practical perspectives. The philosophical connection lies in their shared approaches to building and verifying models of real-world scenarios. Applied mathematics focuses on dynamical systems, mathematical biology, numerical analysis, and operations research as its primary specializations. Applied statistics involves developing and implementing statistical methods for data from practical applications, with particular emphasis on biological contexts. Key specialization areas include linear/nonlinear modeling, bioassay techniques, and survival/reliability analysis.
Graduate students here can contribute to solving critical scientific and societal challenges. Our location near premier research institutions like the Fields Institute, Institute for Quantum Computing, and Perimeter Institute, along with numerous government and industry partners, creates exceptional opportunities for collaborative mathematical and statistical research.
Embarking on an original research project may feel both exhilarating and daunting, but it's an immensely fulfilling journey - and one where you'll receive dedicated guidance throughout the process.