哈佛大學
Harvard University
專業名稱:SM Data Science
課程鏈接:https://gsas.harvard.edu/programs-of-study/all/data-science
課程長度:1年
專業背景:Students with bachelor’s degrees in the natural sciences, mathematics, or engineering are invited to apply for admission
工作經驗:無
注:不接受GMAT代替GRE,不接受IELTS代替TOEFL
哥倫比亞大學
Columbia University
專業名稱:MS in Data Science
課程鏈接:http://datascience.columbia.edu/master-of-science-in-data-science
課程長度:2年
專業背景:quantitative coursework(calculus, linear algebra, etc...);computer programming coursework
工作經驗:許多學生有工作經驗,但不是必須的
斯坦福大學
Stanford University
專業名稱:M.S. in Statistics: Data Science
課程鏈接:https://statistics.stanford.edu/academics/ms-statistics-data-science
課程長度:5 Quarters(1年3個Quarters)
專業背景:較強的數學和計算機背景
工作經驗:最好有但不強制
注:不接受GMAT代替GRE,不接受IELTS代替TOEFL
杜克大學
Duke University
專業名稱:Master in Interdisciplinary Data Science (MIDS)
課程鏈接:https://mids.duke.edu/
課程長度:2年
專業背景:We welcome applicants of any age and background, including (but not limited to) recent college graduates with quantitative majors, database engineers who have been in the IT field for years, government professionals who want to integrate data science into federal or local offices, and journalists who want to incorporate data mining into their investigative skills.
工作經驗:許多學生有工作經驗,但不是必須的
注:每年大約招收25-35個學生
康奈爾大學
Cornell University
專業名稱:MPS in Information Science(含Data Science分支)
課程鏈接:http://infosci.cornell.edu/academics/mps
課程長度:1年
專業背景:solid writing skills, computing experience with some proficiency in a high-level programming language and an understanding of web technologies, good analytical skills, an understanding of the human/cognitive facet of information systems, and a mathematical foundation that includes calculus, probability, statistics, and linear algebra.
工作經驗:不要求
注:不接受GMAT代替GRE
布朗大學
Brown University
專業名稱:Master's in Data Science
課程鏈接:https://www.brown.edu/initiatives/data-science/academic-programs/masters-data-science
課程長度:one academic year plus one summer
專業背景:先修課要求為1年的微積分,1學期的線性代數,1學期的概率與統計,編程。We also admit exceptional students who lack one or more of the minimum requirements in linear algebra, probability and statistics, and computer science. The four departments (Math, Applied Math, Computer Science, and Biostatistics) will offer a suitable course in each of these three topics during the Brown summer session before the first semester.
工作經驗:不要求,但最好有
喬治城大學
Georgetown University
專業名稱:Master of Science in Data Science for Public Policy
課程鏈接:https://mccourt.georgetown.edu/master-in-data-science-for-public-policy
課程長度:2年
專業背景:a college level calculus course with a grade of a B or higher, and demonstrate evidence of technical ability, such as coursework in computer science, advanced statistics, or higher level mathematics. It is also recommended that applicants complete an introductory microeconomics course.
工作經驗:不要求
南加州大學
University of Southern California
專業名稱:Master of Science in Computer Science(Data Science)
課程鏈接:https://www.cs.usc.edu/academics/masters/data-science
課程長度:32 units
專業背景:engineering,math or a hard science.Applicants whose background is not in computer science may consider the MS in Computer Science (Scientists and Engineers)
工作經驗:不要求
注:不接受GMAT代替GRE
卡耐基梅隆大學
Carnegie Mellon University
專業名稱1:MSPPM Data Analytics track
課程鏈接:http://cms-staging.heinz.win.cmu.edu/school-of-public-policy-management/public-policy-management-msppm/msppm-track-options/data-analytics-track/index.aspx
課程長度:1.5年
專業背景:較強的數學基礎,有先修課要求(http://cms-staging.heinz.win.cmu.edu/admissions/application-process/quantitative-background/index.aspx)
工作經驗:不要求
專業名稱2:MISM Business Intelligence & Data Analytics
課程鏈接:http://www.heinz.cmu.edu/school-of-information-systems-and-management/information-systems-management-mism/business-intelligence-data-analytics/index.aspx
課程長度:16個月
專業背景:Required: Statistics、Database、Object Oriented Programming;Suggested: Linear Algebra
工作經驗:不要求
紐約大學
New York University
專業名稱:MS in Data Science
課程鏈接:https://cds.nyu.edu/academics/ms-in-data-science/
課程長度:2年
專業背景:a strong background in mathematics, computer science, and applied statistics.
先修課要求:Calculus I、Linear Algebra、Intro to Computer Science (Python and R at a minimum)
工作經驗:不要求
注:不接受GMAT代替GRE
羅徹斯特大學
University of Rochester
專業名稱:MS in Data Science
課程鏈接:http://www.sas.rochester.edu/dsc/graduate/ms.html
課程長度:two semesters
專業背景:science, engineering, mathematics, or business
工作經驗:不要求
東北大學
Northeastern University
專業名稱1:MS in Data Analytics Engineering
課程鏈接:https://www.northeastern.edu/graduate/program/master-of-science-in-data-analytics-engineering-14810/
課程長度:2年
專業背景:無
工作經驗:不要求
注:不接受GMAT代替GRE
專業名稱2:Master of Science in Data Science
課程鏈接:https://www.northeastern.edu/graduate/program/master-of-science-in-data-science-5256/
課程長度:2-3年
專業背景:Successful applicants to the Masters in Data Science program will have a background in STEM fields, with prior exposure to programming and statistics or linear algebra.
工作經驗:不要求
加州大學-圣地亞哥
University of California-San Diego
專業名稱:MS in Advanced Study Degree for Data Science and Engineering
課程鏈接:http://jacobsschool.ucsd.edu/mas/dse/
課程長度:2年
專業背景:Engineering, Math, Physics, or other Science field preferred
工作經驗:不要求
喬治華盛頓大學
George Washington University
專業名稱:Master of Science in Data Science
課程鏈接:https://www.programs.gwu.edu/graduate/data-science
課程長度:10 three-credit graduate courses(10門課程)
專業背景:先修課包括Multivariable Calculus,Statistics,Computer Programming
工作經驗:不要求
注:不要求GRE
華盛頓大學
University of Washington
專業名稱:Master of Science in Data Science
課程鏈接:https://www.datasciencemasters.uw.edu/
課程長度:1.5年
專業背景:先修課包括Mathematics(a three-class calculus sequence and a linear algebra course),Computer Programming(a two-course introductory sequence in programming)
工作經驗:不要求
注:不接受GMAT代替GRE
福特漢姆大學
Fordham University
專業名稱:Master of Science in Data Analytics
課程鏈接:https://www.fordham.edu/info/25661/master_of_science_in_data_analytics
課程長度:1-2年
專業背景:computer science, information science, engineering, math, physical science, health science, business, social science or city and urban planning
先修課包括Computer Programming(C, C++, Java, R or Python) ,Applied Statistics and Probability,Discrete Mathematics including basic combinatorics and graph theory
Harvard University:M.S. in Computational Science and Engineering
University of Chicago:M.S. in Analytics
Columbia University:M.S. in Data Science or M.S. in Applied Analytics
Stanford University:M.S. in Statistics: Data Science
Duke University:Master of Quantitative Management
Northwestern University:M.S. in Analytics
Washington University in St. Louis:M.S. in Customer Analytics
Cornell University:M.Eng. concentration in Data Analytics
Georgetown University:M.S. in Analytics
University of Virginia:M.S. in Data Science
New York University:M.S. in Data Science
Georgia Institute of Technology:M.S. in Analytics
University of Illinois—Urbana-Champaign:M.S. in Statistics with concentration in Analytics
University of Washington:M.S. in Data Science
Pepperdine University:M.S. in Applied Analytics
Worcester Polytechnic Institute:M.S. in Data Science
American University:M.S. in Analytics
Indiana University—Bloomington:M.S. in Data Science
North Carolina State University—Raleigh:M.S. in Analytics

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