国际学生入学条件
Transcripts
Applicants must upload unofficial transcripts of their entire post-secondary academic record to the online application, including all undergraduate- and graduate-level coursework.
Unofficial transcripts are sufficient for the application process if you earned an undergraduate degree from an institution (or institutions) in which English is the primary language. Official undergraduate transcripts are required only after acceptance of an offer from the program.
If you earned an undergraduate degree from an institution (or institutions) in which English is not the primary language of instruction, a course-by-course credential evaluation is required to help us better understand your educational background and capabilities. IEE and SpanTran are NACES-member companies that have created custom applications for the School of Data Science at a discounted rate. We accept transcript evaluations from all NACES-member evaluators.
Letters of Recommendation
Two letters of recommendation are required as part of the online application. It is preferable (but not required) for at least one letter to be from an individual with substantial knowledge of your academic accomplishments. Once you have saved the contact information for a reference, the individual will receive email instructions to submit a letter of recommendation on your behalf.
Resume
A r'sum or curriculum vitae helps us get to know an applicant beyond their formal academic coursework. There is no preference for students with or without professional work experience.
The minimum TOEFL (iBT) score requirement is 100 (including minimum section scores of 22 in speaking, 22 in writing, 23 in reading and 23 in listening). TOEFL scores should be sent via ETS to institution code B875 (no department code needed).
The minimum IELTS score requirement is 7.0 (including minimum section scores of 6.5). IELTS scores should be submitted electronically by the IELTS test center. Paper copies will not be accepted, no institution code or department code is needed.
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雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:100
- 托福笔试总分:160
- 其他语言考试:NA
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
Learn the tools and techniques to be leaders and pioneers in the field using data science to solve complex problems. Students in the M.S. in Data Science (MSDS) program are taught by world-class faculty with industry experience, collaborate on team capstone projects sponsored by corporate and government partners, and learn the importance of ethical and responsible data use to benefit the society and the common good.<br><br>In just 11 months and over 32 credit hours, learn essential data analytics topics like natural-language processing, machine learning, text analytics, and deep learning. The integrated curriculum combines hands-on learning with the application of sound data science principles, empowering you to solve real world problems and be a leader in the field.<br><br>Program benefits:<br>Integrated curriculum that focuses on hands-on learning<br>Team capstone project to apply what you learn in the classroom<br>Faculty experts from across disciplines and departments<br>Vibrant cohort experience fostering collaboration and network-building<br>Connections with industry leaders and hiring companies<br>University of Virginia network of 250K alumni worldwide<br>Professional development opportunities
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