The Department of Statistics and Actuarial Science is among the top academic units for statistical and actuarial science in the world and is home to more than 50 research active full-time faculty working in diverse and exciting areas. We offer bachelor's, master's and doctoral programs in Statistics and Actuarial Science and numerous joint programs with other Departments. The Department offers a vibrant research environment for a wide range of areas including foundations of statistics, analysis of longitudinal and life history data, computational inference, finance, risk management, ruin theory, survey methods, industrial statistics, interdisciplinary collaborative work. The Department benefits from close relationships with several research groups on campus including Waterloo Research Institute in Insurance, Securities and Quantitative Finance (WatRISQ), Business and Industrial Research Group (BISRG), Propel Centre for Population Health Impact (PROPEL), Centre for Computational Mathematics in Industry and Commerce (CCMIC), Survey Research Centre (SRC), and many others.
Pilihan kuliah
Purna Waktu
(4 tahun)
Biaya kuliah
CAD$22.188,00 (Rp 249.909.063)
per tahun
Graduate House Charge per term- 24.50 plus 13percent HST
Tanggal mulai
September 2027
Tempat
Waterloo Main Campus
200 University Avenue West,
Waterloo,
Ontario,
N2L 3G1, Central Canada, Canada
Persyaratan masuk
Untuk mahasiswa internasional
A Masters degree in statistics or actuarial science, completed or expectedAt least an overall 78% average from a Canadian university (or its equivalent)An interview may be requiredResumeSupplementary information form (SIF)The SIF contains questions specific to your program, typically about why you want to enrol and your experience in that field. Review the application documents web page for more information about this requirementIf a statement or letter is required by your program, review the writing your personal statement resources for helpful tips and tricks on completionTranscript(s)ReferencesThree references are required, normally from academic sources
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