工程与应用科学
Master of Science in Computer Science concentration in Data Analytics
TOFEL:84分
IELTS:6.5分
40 credits
学年学费
$25,490 per semester
奖学政策
暂无
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专业排名
暂无
招生人数
暂无
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)
5.A current résumé
6.Transcript(s) from each college and graduate school attended. Unofficial transcripts can be uploaded to your application. Official transcripts will be required upon matriculation.
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
The Master of Science in Computer Science concentration in Data Analytics will explore the intricacies of data analytics and expose students to various topics and tools related to data processing, analysis, and visualization. Students will learn probability theory, statistical analysis methods and tools, how to generate relevant visual presentations of data, and concepts and techniques for data mining, text mining, and web mining. Individuals who complete this program will have gained a solid knowledge of concepts and techniques in data analytics, exposure to the methods and tools for data mining and knowledge discovery, and a broad background in the theory of the practice of computer science.
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