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Statistics (Bachelor of Mathematics - Honours)

University of Waterloo ยท ON ยท H1XegyCAin

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Statistics (Bachelor of Mathematics - Honours) is a Undergraduate degree at University of Waterloo, ON. It covers areas like financial mathematics, computational mathematics, mathematical economics, machine learning, applied statistics, quantitative research methods. The summary below is compiled from public course information โ€” approximate, not official.

University
University of Waterloo
Level
Undergraduate

What you'll study in Statistics (Bachelor of Mathematics - Honours)

computational-mathematicsapplied-statisticsmathematical-economicsstatistical-computingfinancial-mathematicsquantitative-research-methodsmachine-learningmathematicslinear-algebracomputational-biologyapplied-mathematicsdiscrete-mathematicscalculusresearch-design

Example subjects: Quantitative Foundations for Finance, Applied Marketing (WLU), Introduction to Computational Mathematics, System Performance Evaluation, Statistical and Computational Foundations of Machine Learning, Introduction to Artificial Intelligence, Professional Communications in Statistics and Actuarial Science, Calculus 3 for Honours Mathematics, Introduction to Combinatorics, Calculus 3 (Advanced Level), Introduction to Combinatorics (Advanced Level), Mathematical Statistics.

Frequently asked questions

What will I study in Statistics (Bachelor of Mathematics - Honours)?

Statistics (Bachelor of Mathematics - Honours) covers areas like computational-mathematics, applied-statistics, mathematical-economics, statistical-computing, financial-mathematics, quantitative-research-methods, machine-learning, mathematics.

Who offers Statistics (Bachelor of Mathematics - Honours)?

Statistics (Bachelor of Mathematics - Honours) is offered by University of Waterloo, ON.

Considering Statistics (Bachelor of Mathematics - Honours)?

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Sources: University of Waterloo official course page. Information is compiled and summarised โ€” not copied verbatim โ€” and is approximate; always confirm with the original source.

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