MSc Program in Applied Mathematics & Statistics
Application forms and information concerning the application process can be found on the Graduate Studies website.
If you would like more information, please contact us directly at Department of Mathematics and Statistics, Acadia University, Wolfville, NS B4P 2R6. Our email address is email@example.com.
This program offers an exciting opportunity
What makes this program so exciting for
Associated with the department is Acadia’s Centre for Mathematical Modelling and Computation (ACMMaC). The focus of ACMMaC is to apply mathematical and statistical models to problems in other fields, industry and the community. Graduate students in our program will have access to ACMMaC resources have the opportunity to become active participants in high-performance computing research.
A HPC cluster and several connected servers support computing needs within the department and in related departments across campus. Acadia is also a member of the ACEnet HPC consortium.
The faculty in our department are involved in a wide range of research. Brief summaries are below and more detailed descriptions can be found on the faculty members homepages.
Paul Cabilio: Nonparametric statistical inference, rank-based methods, incomplete data, statistical modeling
Hugh Chipman: Tree models, variable selection, Bayesian methodology, data mining
Nancy Clarke: Graph theory, combinatorics, design theory and game theory
Eva Curry: Digital representations for vectors and connections to wavelet theory, iterated function systems, probability, and number theory
Jeff Hooper: Algebraic number theory, cryptography
Richard Karsten: Models of ocean circulation, climate modelling
Wilson Lu: Survey sampling, replication methods, survey confidentiality, computer experiment design
Franklin Mendivil: Image processing, stochastic optimization, fractal analysis
Jianan Peng: Order restricted inference, multiple comparisons, nonparametric statistics
Pritam Ranjan: Computer experiments, sequential designs, combinatorial designs
Paul Stephenson: Machine scheduling, optimization algorithms
Holger Teismann: PDE, control theory, non-linear optics
Ying Zhang: Statistical computing, time series analysis, applied statistical modelling