Dalhousie University is a renowned Canadian institution located in Halifax, Nova Scotia. With a legacy of more than two centuries, Dalhousie is recognized for its excellence in teaching and research. The university offers a wide range of programs in fields such as arts, sciences, health sciences, law, management, and engineering. Dalhousie provides students with a transformative educational experience, combining rigorous academics with experiential learning opportunities, community engagement, and global perspectives. The university's vibrant campus, inclusive community, and supportive faculty create a stimulating environment for intellectual growth and personal development.

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The department offers programs leading to the degrees of MSc and PhD in the following areas: statistical inference, robust statistics, data mining, bioinformatics, data analysis, multivariate analysis, linear and nonlinear regression, time series analysis, statistical genetics, environmental statistics, and information theory. Computing Facilities The department operates a network of Sun servers, workstations, a Unix cluster, and PCs. Standard statistical and mathematical software such as Splus, SAS, BMDP, Minitab, NAG, IMSL, Matlab and Maple are available, as well as special-purpose applications software in a variety of areas. Graduate student offices are all equipped with computers. Admission Requirements Candidates must satisfy the general requirements for admission to the Faculty of Graduate Studies. Graduate Record Examination (GRE) Aptitude and Advanced Mathematics scores are recommended for all applicants for graduate studies whose undergraduate work has been completed outside of Canada. Show less

Core Courses: The program may include core courses that provide a foundation in statistical theory, methods, and data analysis. These courses may cover topics such as probability theory, statistical inference, linear regression, experimental design, and multivariate analysis.

Specialization: Students may have the opportunity to specialize in specific areas within statistics, such as biostatistics, econometrics, machine learning, or Bayesian statistics. The curriculum may include a combination of required and elective courses related to the chosen specialization.

Statistical Computing: Statistics programs often emphasize the use of statistical software and programming languages for data analysis. Students may learn how to use software such as R, Python, or SAS to manipulate and analyze data, conduct simulations, and create visualizations.

Research and Projects: Students may be required to engage in research projects or statistical consulting work. This could involve collaborating with faculty members or industry partners on real-world data analysis problems, conducting independent research, or completing a thesis or capstone project.

Elective Courses: Students may have the flexibility to choose elective courses that align with their interests and career goals. These courses may cover additional topics in statistics, such as time series analysis, spatial statistics, categorical data analysis, or nonparametric statistics.

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You will need to book the accommodation after you have been accepted.

You can choose to live on campus or off campus in private accommodation.

How to book:

• Make a booking online after you have been accepted (in this case please let us know your choice when you apply).
• Register when you arrive - its not possible to reserve a room before arriving. You can arrive a few days before and book it

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