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Master of Science in Analytics

美利坚大学-Shorelight

American University - Shorelight

US美国

  • 学历文凭

    学历文凭

    Masters Degree

  • 专业院系

    专业院系

  • 开学时间

    开学时间

  • 课程时长

    课程时长

  • 课程学费

    课程学费

    汇率提示

国际学生入学条件

Applicants must have earned an undergraduate bachelor's degree from an accredited institution with a satisfactory grade point average.
Applicants may be admitted without reference to their baccalaureate record if they earned at least a 3.30 cumulative GPA in a master's degree program completed at a regionally accredited institution or if they earned at least a 3.50 cumulative GPA for the last 12 credit hours of a master's or doctoral degree program still in progress.
A TOEFL (minimum score of 100), IELTS (minimum score of 7)
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  • 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:Duolingo (minimum score of 120)

CRICOS代码:
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课程简介

Data analysis plays a crucial role in solving organizational challenges and making effective business decisions. An MS in analytics provides you with an in-demand skill set that will allow you to step into more specialized roles in your career. Plus, that expert knowledge in this complex field may open more lucrative doors in your career. The program is housed in DC's first accredited business school, and it shows. Our curriculum takes students through the full lifecycle of business analytics by providing foundations in technology, finance, insurance, utilities, manufacturing, consulting, government, and business intelligence.<br><br>The MS in analytics is designed to bridge the gap between theory and practice from day one. Throughout the program, you'll gain a command of programming languages like R, Python, SQL, and Tableau. The highlight of our program is the capstone experience, where you'll partner with a local organization on an analytics project.<br><br>The MS in analytics program consists of 33 credit hours. The courses in core competencies and analytics foundations provide a well-rounded understanding of the field. You'll learn evidence-based data gathering, data modeling, and quantitative analysis, as well as how to implement these tools to provide businesses with competitive advantages. Students gain skills to work in business intelligence, financial analysis, marketing, and consulting.
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开学时间&学费

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开学时间时长学费地点

学校排名

  • 排名

    世界排名401

    数据源:泰晤士高等教育世界大学排名

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