Mathematics and Statistics (MSc)

In our program, you will benefit from the small school advantage – close contact with your supervisor and a program best-suited to your interests – while also being able to participate in a wide range of research that Acadia faculty conduct. In our department, you can pursue research into tidal energy in the Bay of Fundy, fractal images, games on graphs, statistical learning, big data, computer experiments, cryptography, number theory, scheduling theory, and statistical applications in agriculture, biology, and medicine.

Our department is associated with the Acadia Centre for Mathematical Modeling and Computation, ACENet and Compute Canada, which provide expertise and resources for applying computational resources towards solving problems in the mathematical sciences. The Statistical Consulting Centre creates opportunities to support local projects, and to consult on other research projects at the institution. Acadia's faculty engage in projects with local businesses, federal and provincial government agencies, the local tidal power and agricultural industries, and a variety of businesses nationally and internationally.

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