Study abroad in Montréal, Canada: Most popular universities for Statistics.
Are you thinking of studying Statistics abroad? Below you can find the most popular universities and programmes to study Statistics in Montréal, Canada. This list is based on visitors on the Studyportals websites, listing more than 150,000 English-taught Bachelor's and Master's programmes world-wide.
McGill University is one of Canada's best-known institutions of higher learning and one of the leading universities in the world. With students coming to McGill from over 150 countries, our student body is the most internationally diverse of any research-intensive university in the country.
Most popular Statistics programmes for international students in Montréal
These are the most popular programmes among international students who are looking for a Statistics degree in Montréal.
1
Biostatistics (Thesis)
McGill University
Biostatistics involves the development and application of statistical methods to scientific research in areas such as medicine, epidemiology, environmental health, genetics, and ecology.
The Department of Mathematics and Statistics offers programs that can be focused on applied mathematics, pure mathematics, and statistics leading to master’s degrees (M.A. or M.Sc.), with program options in Bioinformatics and in Computational Science and Engineering (CSE).
Biostatistics offered by McGill University involves the development and application of statistical methods to scientific research in areas such as medicine, epidemiology, public health, occupational and environmental health, genetics, and ecology.
Mathematics and Statistics (Thesis) - Computational Science and Engineering
McGill University
The Department of Mathematics and Statistics offers programs that can be focused on applied mathematics, pure mathematics, and statistics leading to master’s degrees (M.A. or M.Sc.), with program options in Bioinformatics and in Computational Science and Engineering (CSE).
The Department of Mathematics and Statistics at McGill University offers programs that can be focused on applied mathematics, pure mathematics, and statistics leading to master’s degrees (M.A. or M.Sc.), with program options in Bioinformatics and in Computational Science and Engineering (CSE).
The Department of Mathematics and Statistics offers programs that can be focused on applied mathematics, pure mathematics, and statistics leading to master’s degrees (M.A. or M.Sc.), with program options in Bioinformatics and in Computational Science and Engineering (CSE).
The Department of Mathematics and Statistics offers programs that can be focused on applied mathematics, pure mathematics, and statistics leading to master’s degrees (M.A. or M.Sc.), with program options in Bioinformatics and in Computational Science and Engineering (CSE).
The Statistics and Computer Science program offered by McGill University provides students with a solid training in both computer science and statistics together with the necessary mathematical background.
The most common way to assess your English level is by taking a standardised English test, such as:
PTE Academic (Pearson Test of English)
TOEFL iBT (Test of English as a Foreign Language)
IELTS Academic (International English Language Testing System)
C1 Advanced (formerly known as CAE – Cambridge English Advanced)
What makes PTE Academic stand out among these renowned English exams is the use of A.I. (Artificial Intelligence) to correct the answers of tests takers. This ensures that the results are unbiased and offer a 100% objective evaluation. Another great advantage of using A.I. is speed – results are typically available within 2 business days after taking PTE Academic.
Statistics degrees teach students to collect, organise, display, and interpret data. Statisticians help us understand problems and trends in society. Statistical insights are used to find or test solutions before implementation, while Statistics studies focus on improving planning processes and data collection, with surveys or experiments. Graduates work as market researchers, risk analysts, data scientists, or statisticians.
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