商业分析理学硕士
Master of Science in Business Analytics
  • 学历文凭

    Masters Degree

  • 专业院系

    商业管理与行政

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

completion of a degree equivalent to a four-year U.S. bachelor's degree from a recognized university
grade point average: final GPA of bachelor's degree, or the last 60 semester units or 90 quarter units of college coursework completed, must be at least 3.0 (on a 4.0 scale). Or earned a master's degree with a 3.0 GPA. Applicants with GPA between 2.75-2.99 may be admitted on an exceptional basis.
statement of purpose
r'sum (full time work experience is recommended)
two letters of recommendation from supervisors and/or professors
GMAT test: the verbal, quantitative, integrated reasoning and writing scores will be reviewed. A minimum analytical writing score of 5.0 is required on the GMAT. A lower analytical writing score may be accepted as conditional admission and student must take a writing course after joining the program.
or GRE test: The admissions committee accepts the GRE test in place of the GMAT. A minimum analytical writing score of 4.5 is required on the GRE test.
IELTS - 6.5, TOEFL IBT-88, PBT-570, PTE- 59
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雅思考试总分

6.5

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  • 雅思总分:6.5
  • 托福网考总分:88
  • 托福笔试总分:570
  • 其他语言考试:PTE- 59
CRICOS代码:
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课程简介

为期18个月的商业分析理学硕士(MSA​​)计划利用了一种不断发展的趋势,该趋势结合了技术编程技能和战略业务敏锐度,可以从庞大的数据仓库中提取见解。利用从产品扫描仪,收银机,智能设备,病历或可穿戴设备收集的数据,熟练的分析师可以掌握业务趋势,预测客户行为,发现业务问题的解决方案并制定有针对性的营销策略。从2018年秋季开始,分析专业硕士将提供五种STEM(科学,技术,工程和数学)指定的轨道,客户分析和四个新选项:会计分析,供应链分析,金融技术分析和医疗保健分析。拥有39个学分的计划的学生将于7月开始参加一
Business Analytics encompasses the techniques, technologies, systems, practices, methodologies, and applications that analyze critical business data to help an enterprise better understand its business and market and make timely business decisions. This 30-unit, 10-course program will prepare graduates for positions such as business analysts, data scientists, and marketing analysts in business, government, and non-profit organizations.<br>Students completing the program will:<br>Illustrate knowledge and application of programming languages.<br>Appropriately apply data management tools and methods.<br>Apply appropriate statistical techniques.<br>Be able to extract business intelligence from data and apply it for strategic decision-making in different functional areas of business.<br>Synthesize knowledge and evaluation of outcomes by managing a complex data analytics project from start to finish.
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