Academic Programs - Graduate

Mathematics & Statistics

Choosing to take a Master of Science in Mathematics and Statistics at Acadia will deepen your mathematical knowledge, and develop your research and analytical skills. At the same time, you can earn your degree while gaining experience working and researching in industry.

A female and male student smile as they work together in the KC Irving Centre's Garden Room.
Acadia's graduate program in mathematics and statistics offers you an exciting opportunity to earn your degree and tackle a significant research problem while also participating in our award-winning co-operative education option and gaining industry work experience. You will take courses that will broaden your knowledge and also prepare you to work on your chosen research project. Our co-operative education option allows you to gain eight months of industry experience work terms or internships. A special feature of the program is to be able to align your work experience and research project, allowing you to more deeply understand the importance and relevance of the research problem.

Be Inspired

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.

Research Interests

  • 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
  • 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

Program at a Glance

Year One -
First Term

  • MATH 5960
    Thesis
  • MATH 5810
    Research Seminar
  • MATH 5xx3*
    Elective
  • MATH 5xx3
    Elective

Year One -
Second Term

  • MATH 5960
    Thesis
  • MATH 5810
    Research Seminar
  • MATH 5xx3*
    Elective
  • MATH 5xx3
    Elective

Year One -
Third Term

  • MATH 5960
    Thesis

Year Two -
First Term

  • MATH 5960
    Thesis

Year Two -
Second Term

  • MATH 5960
    Thesis Completion
[NSBP]
 
 

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