MSc Program in Applied Mathematics & Statistics


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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




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.


Faculty 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.

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