Preparation for the program should include a thorough knowledge of linear algebra (through the level of MATH V2020 at Columbia) and advanced calculus (through the level of MATH V1201).Experience in theoretical or applied probability and statistics is advantageous.Familiarity with computer programming is also helpful.
综排:12,专排:5,学位:M.A in Applied Mathematics and Statistics
申请条件——先修课要求:
A mathematics background of at least 5 mathematics courses beyond multivariable calculus,including at least two semesters of proof-writing courses (such as analysis, abstract algebra or topology).
综排:15,专排:24,学位:Master of Professional Studies in Applied Statistics
申请条件——先修课要求:
A student with the equivalent of an undergraduate degree in mathematical or statistical sciences,with at least three semesters of calculus and substantial preparation in linear algebra,applied statistics and computing may expect to finish the degree in one year.
综排:29,专排:12,学位:Master degree in Applied Statistics
申请条件——先修课要求:
It is strongly recommended that prospective students have a good background in calculus and linear algebra and have taken one course in probability and one in theoretical statistics.
Students who have not taken these prerequisite courses are generally required to take them in the first year of graduate study, with no credit toward the requirements for the degree.
University of North Carolina--Chapel Hill 北卡罗来纳教堂山分校 北卡罗来纳州
综排:30,专排:12,学位:MS in Statistics
申请条件——先修课要求
Applicants to the M.S. program should have completed basic undergraduate coursework in statistics and mathematics. Statistics coursework should include an introductory, calculus based course in statistics (similar to STOR 155), an intermediate level course in inference and regression (similar to STOR 455), and a calculus based probability course (similar to STOR 435). Mathematical coursework should include single and multivariable calculus, as well as an intermediate level course in linear and matrix algebra. Students interested in theoretical statistics or probability should have prior coursework in advanced calculus or real analysis.