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Mathematics and Statistics


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Mathematics

Mathematics is often described as the "queen of the sciences".  It is essential to many fields, including engineering, finance, medicine, economics and the natural sciences.  Math is everywhere!  It is used to secure your data when you enter it online, in fraud detection, to understand medical scans, in weather prediction, for modeling wildfires and for creating efficient networks for security systems or air traffic.  Studying mathematics trains you to think critically and develops strong problem-solving skills.  

One branch of mathematics, called cryptography, helps to keep our information safe.  When you use your credit card online, mathematics is used to encrypt this information so that a third party cannot read it.  Mathematicians are also essential to national security, where their high-level problem-solving skills are used for encryption and decryption for intelligence gathering and computer security. Another branch of mathematics, called graph theory, is used to design and analyze networks, such as security, transportation or social networks.

Statistics

Statisticians use their expertise in agricultural research, health care research, quality control and actuarial work. In the face of uncertainty, statisticians use data to make predictions about sales, product demand, weather forecasts and product quality.  Statisticians design and analyze the results of clinical trials to study the safety and effectiveness of new medications or to compare cancer treatments.  Almost every government agency employs statisticians.  They work with specialists such as economists, biologists, chemists, and doctors to assist in the design of experiments and the analysis of research data. Statisticians are highly employable with the majority working for private corporations or government departments and agencies.

New!  Beginning Fall, 2020, we will be offering a B.Sc. or B.A. 4-year Statistics degree, Data Science Stream.  This degree will involve a mix of Statistics, Mathematics and Applied Computer Science courses.  More information can be found on this page.