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The MSc and PhD programs provide avenues for in-depth academic exploration and investigation in:
Applied Mathematics
Applied Statistics
While these disciplines have distinct course prerequisites and examination focus areas, they share significant overlap and interconnection, both theoretically and practically. The shared philosophical foundation lies in approaches to developing and verifying models for real-world scenarios. Key specializations in applied mathematics cover dynamical systems, mathematical biology, numerical analysis, and operations research. Applied statistics involves implementing statistical methods to analyze data from practical applications, with particular attention to biological contexts. Primary specialization areas comprise linear and nonlinear modeling; bioassay techniques; and survival analysis, life testing, and reliability studies.