国际学生入学条件
Undergraduate GPA of 3.0 from a regionally or nationally accredited college or university
GMAT score of 500 or GRE test score of 153 (verbal), 144 (quantitative), and 4 (analytical writing)
Either test is accepted for application purposes. Refer to the Graduate College Test Prep Service for more information.
One to two page statement of your objectives
International students
A course by course evaluation of your international transcripts must be provided by a NACES member.
The minimum College of Business requirement for the TOEFL is 600 (Paper-Based Test) and 100 (Internet Based Test). The minimum College of Business requirement for IELTS is a band score of 7.0.
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雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:100
- 托福笔试总分:600
- 其他语言考试:NA
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
信息技术与管理科学硕士(MSITM)由商学院信息技术与运营管理系和工程与计算机科学学院的计算机电气工程与计算机科学系联合开设。程序详细信息可在FAU目录中找到。MSITM程序是专为具有计算和/或管理背景的积极进取的个人而设计的,它是一项STEM学位课程,旨在为学生为从事商业信息技术领域的管理职业做准备。信息技术管理:此专注于组织中信息技术的管理问题。专注于帮助专业人员从大数据中获取见解,以制定业务决策并提供有关运营,销售和市场营销以及产品和服务研发的解决方案。专注于业务分析的MSITM学位由商学院授予。F
The Master of Science in Information Technology and Management (MSITM) is jointly offered by the Department of Information Technology and Operations Management (ITOM) in the College of Business and the Department of Computer Electrical Engineering and Computer Science (CEECS) in the College of Engineering and Computer Science. Program details can be found in the FAU Catalog. Designed for highly-motivated individuals with computing and/or managerial background, the MSITM program is a STEM degree program that prepares students for a management career in the area of information technology in business.<br><br>Business Analytics (BA), also known as Business Intelligence (BI), involves information technologies, applications, and practices for collection, integration, analysis, and presentation of business data and information. BA allows managers to extract information from the data to make decisions regarding operations, sales and marketing, and research and development of products and services. Business Analytics includes data mining, data analytics, data visualization and OLAP techniques that examine a large amount of data to discover new and valuable information.
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