MSc Program in Applied Mathematics & Statistics

 

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APPLICATIONS

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 mathstats@acadiau.ca.

  

 

 

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 and big data, and an optical computer.

 

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.

  

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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.

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