排名：
QS 45
THE 45
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
区域及类型
大学 公立混合
本科申请信息
基本信息
本科录取率
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
-
秋季
-
常规
暂无 -
提早
暂无 -
转学生
暂无
学院及研究生项目
学院项目
Master of Mathematic
Master of Arts in Cinema and Media Studies (MA)
Master of Applied Science in Biomedical Engineering (MASC)
Master of Chemical and Biological Engineering
Data Science
Electrical and Computer Engineering
M.S. in Computer Science
M.Eng. in Software Development
Master of Engineering (MENG) in Mechanical Engineering
Master of Science in Pharmaceutical Sciences (MSC)
M.Sc. Statistics
Master of Community and Regional Planning
M.S. in Planning
M.A. in Planning
Master of Urban Design
Master of Business Analytics (MBAN)
基本信息
学分
暂无项目时长
12-months学费估算
$62,658 CADGMAT Code
LQS-CP-02托福/GRE Code
0965/0965申请截止日期
秋季
常规
10月15日
申请信息
TOEFL
100.0IELTS
7.0GRE
V 155.0 / Q 155.0Prerequisite
Due to the rigorous nature of the program, it is strongly recommended that applicants have some exposure to university-level courses in topics like statistics, calculus, and linear algebra (or other courses in mathematics and statistics). Experience in computer programming, data analytics or mathematical modeling is also an asset. If you have work experience, two current references (a referee you have worked with in the last 2-3 years) will be required. You will provide their contact information in the application portal and we will contact them by email. No personal references will be accepted.工作经验
There is no minimum work experience requirement for entry into the UBC MBAN.
M.Sc. in Materials Engineering
学院项目
Master of Science in Statistics(MSC)-Biostatistics Concentration
基本信息
学分
30 credits项目时长
2 years学费估算
暂无GMAT Code
暂无托福/GRE Code
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.
Master of Computer Science and Information Systems
M.Sc. Biology
