MSc Program in Applied Mathematics & Statistics
Application forms and information concerning the application process can be found on Acadia's 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 firstname.lastname@example.org.
This program offers an exciting opportunity for students to earn a Masters degree while gaining experience working and researching in industry. Students will take courses that will both prepare them for a work internship and help them write a MSc thesis. Students may also spend up to eight months at a work internship gaining valuable experience in industry. They will then return to Acadia to complete a thesis, usually to be based on the research they completed during their internship.
What makes this program so exciting for prospective students is the wide range of research that faculty at Acadia pursue. In our department, you can pursue research into a game of cops and robbers, unbreakable codes, tidal energy in the Bay of Fundy, fractal images, improving medicines, job scheduling, statistical learning, big data, and an optical computer.
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.
Iain Beaton: Graph theory, combinatorics, graph polynomials and dominating sets
Hugh Chipman: Data science, statistical and machine learning, Bayesian methods, industrial statistics
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: Tidal energy, coastal/numerical oceanography, fluid dynamics
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
Holger Teismann: PDE, control theory, non-linear optics
Ying Zhang: Statistical computing, time series analysis, applied statistical modelling