不列颠哥伦比亚大学(英语:University of British Columbia,简称UBC),又或译为英属哥伦比亚大学等,简称卑诗大学或卑大,是一所位于加拿大不列颠哥伦比亚省的公立大学,也是U15大学联盟、英联邦大学协会、环太平洋大学联盟、和Universitas 21成员之一。截至目前,不列颠哥伦比亚大学共培养了8位诺贝尔奖得主。学校主校区位于紧邻温哥华市西端的大学保留地,于1908年创校,为不列颠哥伦比亚省最古老的大学,起初为研究性合作机构,后来逐渐发展为闻名国际的综合大学;另外位于基洛纳市的新校区成立于2005年,称为不列颠哥伦比亚大学奥卡纳干分校,取代原奥卡纳干大学学院。
知名校友
J.福斯特、B.特利格瓦森、J.特纳、罗伯特·蒙代尔
本科申请信息
基本信息
本科录取率
暂无学费估算
暂无TOEFL Code
暂无入学成绩
SAT录取均分
暂无ACT录取均分
暂无TOEFL要求
暂无转学相关
转学所需最低学分
暂无转学最低GPA
暂无申请截止日期
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秋季
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常规
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提早
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转学生
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学院及研究生项目
学院项目
基本信息
学分
30 credits项目时长
2 years学费估算
暂无GMAT Code
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暂无申请截止日期
秋季
常规
2025/1/6
申请信息
TOEFL
100.0IELTS
7.5Prerequisite
COURSE REQUIREMENTS The department's Admissions Committee has outlined the following requirements, along with other desired courses and skills. Note that meeting the minimum requirements does not guarantee admission. Note also that an applicant missing a course or two but with other strong attributes, such as work experience as a statistician, will be seriously considered. MATHEMATICS COURSES required: calculus (differentiation, integration, multivariable calculus) as obtained in UBC MATH 100, 200, 253 required: linear algebra, as obtained in UBC MATH 221 In addition, the student should have some ability in constructing proofs, for instance concerning continuity and limits, such as acquired in UBC MATH 200. PROBABILITY COURSES required: an intoductory course including axioms of probability, various common distributions, multivariate distributions and some limit theorems, as obtained through UBC MATH/STAT 302 or via the text Introduction to Probability and Its Applications, 2nd edition, by R.L. Scheaffer. recommended but not required: stochastic processes, as obtained through UBC MATH 303 COMPUTING SKILLS required: familiarity with R recommended but not required: experience in coding such as C/C+ or Python STATISTICS COURSES required: an introductory course in statistical methods, such as UBC STAT 200 or via the text Statistics Data and Models, Pearson Canada, 2015, by De Veaux Velleman and Bock required: a course in statistical inference/mathematical statistics: theory of estimation and hypothesis testing, such as UBC STAT 305 or via the text Mathematical Statistics and Data Analysis, Wadsworth & Brooks/Cole, 1988, by John Rice required: either a course in regression analysis or a course in the design of experiments/ANOVA. The regression course should cover the material in UBC STAT 306, with text Applied Linear Regression, Wiley, by S. Weisberg. The design/ANOVA course should cover the material in UBC STAT 404, with text Design and Analysis of Experiments, Wiley, latest edition, by D. Montgomery.学院项目