学历文凭
Bachelor Degree
专业院系
管理信息系统
开学时间
课程时长
课程学费
国际学生入学条件
Official transcripts with subjects and marks received from any colleges or universities attended.
Certified literal translations of all credentials officially issued in any language other than English.
A Test of English as a Foreign Language TOEFL score of 61 Internet-based or 500 Paper-based is the university minimum requirement.
TAMUK ELTC completion of program letter with a minimum average of 90 percent and levels from Low Advanced, Advanced Plus or High Advanced.
The minimum score required is a 6.0 overall band score.
SAT Reading 27 earned March 2016 or later, ACT verbal 21 English, TAKS 2200 English OR 3 writing.
IDP—雅思考试联合主办方
雅思考试总分
6.0
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- 雅思总分:6
- 托福网考总分:61
- 托福笔试总分:500
- 其他语言考试:PTE overall 44.
课程简介
The marketplace today is awash in data. However, huge data sets are useless without a trained professional who has the ability to shape raw data into something useful'something powerful.<br><br>No matter what industry or field you enter, companies rely on data and data analysis to provide tips to individuals and engage with clients. As all of these industries are transformed by technology, there's a growing need for the data to be collected, monitored, analyzed, and managed. Therefore, a professional's ability to understand and apply qualitative techniques and tools is becoming increasingly valuable in addition to traditional business areas such as accounting, finance, information systems, management, and marketing. As a result, the data analytics path is an opportunity for students across all business disciplines to complement their major with skills in this fast-growing and important field.<br><br>You are a part of the decision-making process: in a world where organizations globalize and flatten their hierarchies, companies must make more complex decisions and turn to more and better information aid in this process. Because information technology is critical to every aspect of every business in every field, you are a part of this process.<br>You provide leadership: using information technology and data science to develop solutions to society's most pressing challenges.<br>You are well-connected: you are equipped for roles in environments with widespread integrated systems, impacted by mobile and web-based technologies.
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