Data Science Master Program具体开设的情况我做了简单总结并且配上了几个项目做例子，从设置上大致可以分为四类：
1. 单独的Data Science项目
• SM in Data Science, Institute for Applie Computational Science, Harvar 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等众多学校都开设独立的DS项目
2. Analytics/Data Analytics
包括：
1) Analytics/Data Analytics
• MS in Analytics, Continuing Liberal an Professional Stuies, U of Chicago
• MS in Analytics, College of Engineering, NWU, USC
此外，Georgetown University, NCSU等学校都设置独立的Analytics/Data Analytics项目
2) Applie Analytics
比如：MS in Applie Analytics, Graziaio Business School, Pepperine University
3) Preictive Analytics
• M.S. in Applie an Computational Mathematics & Statistics: Specialty in
Preictive Analytics, The Division of Science, University of Notre Dame
4) Government Analytics
• M.S. in Government Analytics, Krieger School of Arts an 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, Harvar
MS in Health Data Science, Center for Health Outcomes Research, Saint Louis
3) Interisciplinary Data Science
• Master in Interisciplinary Data Science, Information Initiative, Duke
• M.S. in Data Analytics an Visualization, The Katz School, Yeshiva U
4. 分支项目：Statistics, EE, CS等
即设置在上述专业的一个分支方向
• MS in Statistics Data Science Track, Department of Statistics, Stanfor
• MENG in OR an 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 of
Computer Science, CMU
• Master of Electrical Engineering, Data Science Track, Rice
总结一下，DS开设情况相对复杂，但项目逐渐增多是大趋势，今年一定也会有新项目开设。上述项目的具体情况、其他我没列上去的项目、DS项目录取难度、对申请者的要求等等细节问题这里就不写了，详情打我电话咨询吧
