国际学生入学条件
Completed a regionally accredited Bachelor's degree.
Official transcript of all university-level education from accredited institutions. Unofficial transcripts can be accepted at the time of application, however, official transcripts must be submitted upon acceptance.
Grade Point Average - You must have a minimum overall grade point average of 2.75 (4.00=A) for the bachelor's degree or a minimum 3.00 (4.00=A) for the last two years (60 semester hours). Applicants with international academic work can use Scholaro to estimate their U.S. GPA calculation. While Scholaro can provide an approximate representation of your converted U.S. GPA, it does not replace the comprehensive evaluation of academic coursework conducted by the UNLV Office of Admissions. Our GPA calculation and credential equivalency review are still essential in the admission process. UNLV's evaluation may differ from the results generated by this tool.
Transcripts - One transcript from every post-secondary institution the applicant has attended (regardless of whether a degree or credential was earned), showing all coursework, extension and correspondence work, any degrees earned, and the dates that those degrees were awarded. Unofficial transcripts will be accepted as part of the application process. However, if an applicant is admitted, official transcripts will be required by the date specified on the Certificate of Admission. Transfer credits posted on another institution's transcript will not be accepted in lieu of the transcript itself. Only transcripts sent directly from the institution are considered official. Failure to disclose all coursework and/or degrees awarded will result in rescission of admission. IELTS - 6.5, TOEFL - 80, (Paper-based) Minimum score - 74 (Computer-based) Minimum score - 213, Pearson Test of English (PTE) - Minimum score - 65
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雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:80
- 托福笔试总分:160
- 其他语言考试:Pearson Test of English (PTE) - Minimum score: 65
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申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
The M.S. in Data Analytics equips students with technical skills that are used by professional data scientists for data analysis, visualization, predictions, and discoveries. This Master degree at UNLV utilizes the strengths of six colleges for computer programming, database technology, machine learning, management, and statistical techniques for data analysis in specific disciplines. The program covers applications in many industries and specialties such as health care, hospitality, social sciences, engineering, business, and government.<br><br>Learning Outcomes<br>Demonstrate a basic level of technical knowledge related to programming, database management, and machine learning.<br>Demonstrate a mastery of in-depth knowledge of fundamental and basic statistical principles.<br>Formulate, update, and communicate results obtained from the data.
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