【逆袭】客户GPA 2.7,不仅逆袭斩获斯蒂文斯理工学院 Stevens Institute of Technology M.S Business Intelligence and Analytics 商业智能和分析硕士录取!还将Pepperdine、BU、NEU等名校的OFFER收入囊中!
客户GPA 2.7,不仅逆袭斩获斯蒂文斯理工学院 Stevens Institute of Technology M.S Business Intelligence and Analytics 商业智能和分析硕士录取!还将Pepperdine、BU、NEU等名校的OFFER收入囊中!

斑马博士 (Dr. Zebra, Since 2010),深受海内外名校申请者的青睐!“定制化" 助你被“高于自身背景”的名校录取

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【本案例详解】

客户GPA2.7,逆袭斩获斯蒂文斯理工学院 Stevens Institute of Technology M.S Business Intelligence and Analytics 商业智能和分析硕士录取!不仅如此,小客户还将Pepperdine、BU、NEU等名校的OFFER收入囊中!所以斑马博士留学中心整理了斯蒂文斯理工学院 Stevens Institute of Technology M.S Business Intelligence and Analytics 商业智能和分析硕士的详细的专业解读,供大家参考。



【OFFER展示】斯蒂文斯理工学院 Stevens Institute of Technology M.S Business Intelligence and Analytics 商业智能和分析硕士

斑马博士、斑马博士留学中心、斯蒂文斯理工学院 、Stevens Institute of Technology、 M.S Business Intelligence and Analytics 、商业智能和分析硕士



【学校介绍】 斯蒂文斯理工学院(Stevens Institute of Technology),美国独立理工大学协会成员, 美国国家一级大学。U.S.News美国最佳大学排名第69名。 福布斯美国大学排行榜第152。



【专业详解】The Business Intelligence & Analytics master's program provides a blend of analytical and professional skills to help you become the kind of manager who challenges assumptions and uses data to make evidence-based decisions. At Stevens, you'll master new tools that will help you refine products, services and strategies while setting the pace for your company in markets undergoing constant, technology-driven change.

The curriculum covers the concepts at the forefront of the data revolution — machine learning, language processing, web mining, optimization and risk. Classes explore key business concepts while going beyond basics in R, SAS, Hadoop, Python and Spark. The program culminates in a capstone experience in which you'll work on a project, using real data, under the guidance of an industry mentor.(摘录自官网)


【课程介绍】


Financial Decision Making

Data Management

Data Warehousing and Business Intelligence

Process Optimization and Analytics

Risk Management and Simulation

Multivariate Data Analytics

Experimental Design

Data Analytics and Machine Learning

Advanced Data Analytics and Machine Learning

Social Network Analytics

Web Mining

Cognitive Computing

Data and Information Quality

Marketing Analytics

Supply Chain Analytics

Data Streams Analytics: Internet of Things

Big Data Technologies

Practicum in Analytics





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