Университет Британской Колумбии, MSc, Statistics

An introductory course in statistics, and one in probability; A 3rd or 4th year course in statistical inference; A 3rd or 4th year course in regression analysis; at least 3 of the following courses: introductory stochastic processes, 4th year probability, 3rd or 4th year mathematical statistics, design of experiments; preferably two other 3rd or 4th year courses in statistics or computer science. For Russia: Bakalavr, Diplom ob Okanchanii Vysshego Uchebnogo Zaredeniia (Diploma Specialist); at least four years of study in the relevant area. Grade of 4 on a 5-point scale. Successful applicants must show evidence of their genuine interest in our discipline This evidence can be in the form of previous studies in Statistics and/or work experience. Admission success depends a lot on excellent grades and a good selection in undergraduate courses in areas most relevant to graduate courses in statistics. Mathematics: minimally, calculus (differentiation, integration, multivariable), linear algebra, advanced calculus (proofs involving limits, continuity etc); in addition, a course in real analysis would be useful as background for more theoretical statistics courses. Probability: axioms up to multivariate distributions and limit theorems; stochastic process (could be taken in MSc program). Statistics: minimally statistical methods, statistical inference (theory of estimation and hypothesis testing), regression analysis; other useful courses are sample surveys, design of experiments and analysis of variance. Computing: programming experience (e.g. C/C++) would be useful background for programming in statistical software such as Splus, R and SAS. TOEFL IBT 100, IELTS 7,5.

At the MSc level we offer a MSc in Statistics and a MSc in Statistics with a Biostatistics option (in collaboration with the School of Population and Public Health). Students can choose to do a thesis, a final project or an 8-month full-time co-op placement (internship) outside the Department. For more information please click here and here. Our MSc program has an expected completion time of less than 2 years. With appropriately selected courses during their MSc program, our students can prepare themselves for a successful career in biostatistics, bioinformatics / genomics, data mining, statistical computing, among others. Students with an interest in bioinformatics, please note the training program in bioinformatics. Our alumni can be found in a number of different professional roles