數(shù)據(jù)分析碩士選哪個學校比較好

近年來，越來越多的中國學子選擇留學，那其中數(shù)據(jù)分析碩士選哪個學校比較好？本文則針對這個問題，為大家整理了資料，接下來咱們就一起往下了解吧。

1. 單獨的Data Science項目

? SM in Data Science, Institute for Applied Computational Science, Harvard University

? MS in Data Science, Data Science Institute, Columbia University

? MSE in Data Science, College of Engineering, UPenn

此外，Brown, NYU, WPI, UCB, UVA等眾多學校都開設(shè)獨立的DS項目

2. Analytics/Data Analytics

包括：

1) Analytics/Data Analytics

? MS in Analytics, Continuing Liberal and Professional Studies, U of Chicago

? MS in Analytics, College of Engineering, NWU, USC

此外，Georgetown University, NCSU等學校都設(shè)置獨立的Analytics/Data Analytics項目

2) Applied Analytics

比如：MS in Applied Analytics, Graziadio Business School, Pepperdine University

3) Predictive Analytics

? M.S. in Applied and Computational Mathematics Statistics: Specialty inPredictive Analytics, The Division of Science, University of Notre Dame

4) Government Analytics

? M.S. in Government Analytics, Krieger School of Arts and Sciences, JHU

3. Special Data Science:

1) Data Science for Public Policy

Master in Data Science for Public Policy, School of Public Policy, Georgetown U

2) Health Data Science

M.S. in Health Data Science, Department of Biostatistics, Harvard

MS in Health Data Science, Center for Health Outcomes Research, Saint Louis

3) Interdisciplinary Data Science

? Master in Interdisciplinary Data Science, Information Initiative, Duke

? M.S. in Data Analytics and Visualization, The Katz School, Yeshiva U

4. 分支項目：Statistics, EE, CS等

即設(shè)置在上述專業(yè)的一個分支方向

? MS in Statistics Data Science Track, Department of Statistics, Stanford

? MENG in OR and Information Engineering, DS Track, Cornell Tech

? Master of Information Systems Management Concentration in Business Intelligence Data Analytics, Heinz College, CMU

? M.S. in Computational Data Science, Language Technologies Institute, School ofComputer Science, CMU

? Master of Electrical Engineering, Data Science Track, Rice

那么以上就是關(guān)于數(shù)據(jù)分析碩士選哪個學校比較好的相關(guān)內(nèi)容啦，以上內(nèi)容作為參考分享給大家，希望能幫助到有需要的同學，如果還有更多想要了解的內(nèi)容可以關(guān)注本平臺繼續(xù)瀏覽。

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