Master of Science in Business Analytics

加州州立大学东湾分校

US

QS排名:

  • 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

    汇率提示

国际学生入学条件

The M.S. Business Analytics minimum admission requirements include:
Baccalaureate degree with strong quantitative and computer programming background from an accredited college or university.
Demonstrated mastery of college algebra, statistics and object-oriented programming with a grade of ''C'' or better in relevant coursework within 7 years of starting in the program.
Undergraduate degree with at least 2.5 Grade Point Average (or equivalent).
Acceptable percentile rankings in verbal and quantitative section of GRE or GMAT. No preference for one test over the other. GRE or GMAT may be waived for applicants with three or more years of solid work experience in IT, quantitative analysis, or a related field verifiable with proof required by the program.
For International students: demonstrated proof of English proficiency, e.g., TOEFL score of 550 (paper-based), 213 (computer-based) or 80 (internet-based), or IELTS of 6.5 or above.
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IDP—雅思考试联合主办方

雅思考试总分

6.5

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  • 雅思总分:6.5
  • 托福网考总分:80
  • 托福笔试总分:550
  • 其他语言考试:NA
CRICOS代码:
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课程简介

The Master of Science in Business Analytics (M.S.B.A.) provides students with a balanced and broad set of knowledge and skills in data analytics. This degree offers an in-depth study of advanced technologies and methods used in business analytics and develops students knowledge and skills in applying analytics to solve business problems. The M.S.B.A. program prepares students for exciting career opportunities in business and data analytics, business intelligence, data science, and data engineering.<br>Students who graduate with a Master of Science in Business Analytics will be able to:<br><br>Demonstrate advanced knowledge and skills in using business analytics technology and applications.<br>Build expertise in quantitative methods and tools for business analytics.<br>Develop skills in making effective business decisions through data analytics.<br>Develop effective written communication skills in conveying project ideas, activities, and findings.
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