Master of Business Administration - Professional (Data Analytics for Management)

学历文凭
Masters Degree

专业院系
数据库管理

开学时间

课程时长

课程学费

国际学生入学条件
Admission to the Graduate School is open to anyone holding a bachelor’s, master’s, or doctoral degree from an accredited college or university. In cases, where a program’s accrediting body allows alternate admissions standards, exceptions may be made. Applicants should have completed undergraduate or graduate work of sufficient quality and scope to enable them to successfully pursue graduate study. The University of Memphis offers equal educational opportunity to all persons without regard to race, religion, sex, creed, color, national origin or disability.
Baccalaureate Degree: The applicant must provide an official transcript showing that a bachelor’s degree was awarded by an accredited college or university. If you are a UofM undergraduate student applying to Graduate School at UofM, you do not need to request that an official transcript be sent to Graduate Admissions. This office has access to your transcript. In addition, transcripts from any other college or university attended may be requested. Only transcripts received directly from an issuing institution are considered official. Personal copies are not acceptable as official documents.
GPA: The applicant must have earned an acceptable grade point average, typically a minimum of 2.5 on a scale of 4.0, but departments may make exceptions for students whose overall GPA does not adequately reflect their ability to succeed in their chosen field.
English proficiency test scores required by the University:
Duolingo English Test- For students affected by test center closures due to COVID-19, the University is temporarily accepting Duolingo as an alternative. 100 or higher on the overall score, all sub scores must be at least 80.
TOEFL (Test of English as a Foreign Language) Institution code 1459. TOEFL - 550 or higher on the paper version, 79 or higher on the internet-based test
IELTS (International English Language Testing System- 6.0 or higher
PTE (Pearson Test of English) - 53 or higher
Applicants to all MBA programs must have:
An undergraduate degree from an accredited college or institution.
A Graduate School application for admission and the appropriate fee.
An official transcript from each college or university attended.
Applicants must present an acceptable score on a recent (five years or less) Graduate Management Admission Test (GMAT) or the Graduate Record Examination (GRE). Official GRE or GMAT scores are required for admission. Admission is competitive based on standardized test scores, cumulative grade point averages, (etc.).
A current resume
A personal statement of interest
Response to the required essay questions (available on the MBA website)
Two letters of recommendation
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:79
- 托福笔试总分:550
- 其他语言考试:PTE (Pearson Test of English) - 53 or higher
CRICOS代码:
申请截止日期:请 与IDP联系 以获取详细信息。
课程简介
The Data Analytics for Management concentration will allow the student to successfully lead analytics teams and projects. It is targeted towards a broad audience such as Business Analysts and Managers who need to learn the language and fundamentals of mathematical modeling and data visualization techniques.<br><br>In this concentration, you will learn what AI (Artificial Intelligence) can and cannot do for you using business use cases, use engagement metrics from popular social media sites for effectiveness measurement and evaluate data patterns detected from structured and unstructured data to determine a successful business strategy.<br>An MBA is designed for those students who are interested in managerial careers – for those with leadership aspirations and abilities. After completing this program, students will acquire managerial-level knowledge in the core areas of business, and managerial-level skills for data driven decision making, leadership and analysis of the global implications of all business decision making.<br><br>The Data Analytics for Management concentration will allow the student to successfully lead analytics teams and projects. It is targeted towards a broad audience such as Business Analysts and Managers who need to learn the language and fundamentals of mathematical modeling and data visualization techniques.<br><br>In this concentration, you will learn what AI (Artificial Intelligence) can and cannot do for you using business use cases, use engagement metrics from popular social media sites for effectiveness measurement and evaluate data patterns detected from structured and unstructured data to determine a successful business strategy.
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