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
Several members of the department use high-performance computing (HPC) in their research. Acadia is a member of both the ACEnet HPC consortium and Compute Canada, which provide compute resources and training. Graduate students in our program will have access to these resources, giving them the opportunity to become active participants in high-performance computing research.
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
Holger Teismann: PDE, control theory, non-linear optics
Ying Zhang: Statistical computing, time series analysis, applied statistical modelling