TOFEL:84分
IELTS:6.5分
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学年学费
$25,490 per semester
奖学政策
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专业排名
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招生人数
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1.A completed Application for Graduate Admission
2.Three letters of recommendation. It is required that one be an academic reference if you graduated or engaged in post-graduate education in the past three years
3.You must supply the name and email address of your recommenders in order to submit your application.
Recommendations must be received before your application can be reviewed.
4.A self-evaluation (short essay discussing your motivation for study)7.A nonrefundable $85 application fee.
8.Minimum TOEFL Requirements
Unless otherwise indicated by the department/program to which you are applying, the minimum total internet-based TOEFL score is 84, with minimum scores in each section as follows:
Reading—21
Listening—18
Speaking—23
Writing—22
The ETS TOEFL institution code for all Boston University Graduate Programs is 3087.
9.Minimum IETLS Requirements
In addition to the TOEFL, the IELTS is also accepted as proof of English proficiency. The band score of 6.5 is required for admission to Metropolitan College. Applicants submitting IELTS scores will need to contact their testing center and request official test scores be mailed to the following address:
Boston University Metropolitan College
Graduate Admissions & Enrollment Services
808 Commonwealth Avenue, Suite 270
Boston, MA 02215
With its unique combination of dynamic academic curriculum, the latest educational technologies, flexible delivery modes, advanced pedagogy, and professional contacts within the business analytics industry, Metropolitan College’s Master of Science in Applied Business Analytics (MSABA) provides comprehensive coverage of the state-of-the-art concepts, techniques, and tools used in the process of data-driven business decision-making. Whether studying online, on campus, or both, students gain hands-on experience with a variety of analytical models and decision-support tools, and to apply them to interlinked data-inputs and large data sets in the areas of marketing, operations, product and technology innovations, financial services, and others. The curriculum covers advanced software tools and functions such as descriptive, predictive, and prescriptive modeling; text and data mining; visual analytics; and business simulations. Graduates of the program will be able to analyze data-driven business processes, select appropriate analytical methods to monitor and identify performance issues, prescribe possible outcomes, and propose optimal data-based solutions.
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