全国统一学习专线 8:30-21:00
专业概况
在这里学什么?In today's data-driven world, analytics is a part of everyday company operation. The difficult part is finding employees trained in data analytics with the skills to not only understand and utilize analytics tools but to follow up their analysis with clear, definitive recommendations for the next step.
Successful data analysis pulls from many different skill sets. In order to determine what data to collect, you need to understand the business and market landscape so you can determine what data would suit your purpose. You need to know how to gather that data, what tools are the best to analyse it, how to translate the results into a story the CEO will understand, and how to use that data to make recommendations for enterprise-level decision making that will heavily impact the direction of the organization.
The career opportunities around Big Data have never been greater. The MS in Enterprise Analytics combines computer science, statistics, data warehousing, database design, and data mining into a program that includes advanced analytics skills, a foundation in data science technology architectures, database programming, and algorithmic thinking to source data, build queries, develop reports, and build enterprise applications that extract maximum value and recognize patterns or anomalies in Big Data sets.
所属院系
进入哪个院系学习? Seidenberg School of Computer Science and Information Systems中国学生入学要求
为来自中国的学生设计 Applicants to Pace University graduate degree and certificate programs must hold a bachelor's degree from an accredited college or university if postsecondary education was completed in the United States. Applicants who are currently in their senior year at an undergraduate institution may apply for admission, but acceptance will be contingent upon receipt of a final transcript indicating all senior year grades and receipt of the bachelor's degree. Applicants who have attended institutions outside of the U.S. must hold a degree equivalent to a U.S. bachelor's degree. English Language Requirements: TOEFL scores of 78 (Internet-based version); IELTS score of 6.5; Pearson PTE score of 52.课程信息
学制:在线/远程学习(2 年)
学费:
开学时间:预计在一月 2022
申请截止日期:
留学地点: