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Masters in Data Science

在布朗大學
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United States

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課程級別

碩士學位課程

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US$65,656  (2024)

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2 Semester(s)

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07 September 2024

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7.0 IELTS

The Master?s Program in Data Science (ScM) prepares students from a wide range of disciplinary backgrounds for distinctive careers in data science. Rooted in a research collaboration between four very strong academic departments (Applied Mathematics, Biostatistics, Computer Science, and Mathematics), the master's program offers a unique and rigorous education for people building careers in data science and/or big data management. The program is designed to provide a fundamental understanding of the methods and algorithms of data science, to be achieved through a study of relevant topics in mathematics, statistics, and computer science, including machine learning, data mining, security and privacy, visualization, and data management. The program also provides experience in important, frontline data-science problems in a variety of fields, and introduces students to ethical and societal considerations surrounding data science and its applications.

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  • 課程總長: 2 Semester(s)
  • 費用: US$65,656
In學年take 位置
Fall (September), 2024 Providence
Fall (September), 2025 Providence

Entry requirements for 布朗大學

GRE General: Strongly recommended
GRE Subject: Not required
Record of grades or other academic performance
CV or resume
Personal statement
Writing sample (optional): If you have written a technical article or paper which you feel would help us evaluate your preparation for the program, this is where you would attach it.
Letters of recommendations (3 minimum, 5 maximum, suggest to your letter writers that they look at this site)
We consider numerous criteria including academic performance, letters of recommendation and industry experience. We also consider GRE scores, TOEFL/IELTS scores (if relevant), motivation, work experience, awards, honors, prizes, and other accomplishments. Because master's applicants are so diverse, no single set of criteria adequately cover all the cases. In more detail, we are looking for:

Academic performance: The GPA is not the only criterion. The grades in data-science related areas are also important. Also, we take into account the fact that at some very competitive schools it is very difficult to achieve a high GPA.
Letters of recommendation: Letters must give a detailed, factual, and candid evaluation of the applicant's capabilities. Rankings and comparisons with other students are very useful. Ask your recommender to follow these guidelines. Remind your recommenders of deadlines to ensure they are met.
Work experience: Please describe any work experience you might have. Not all applicants have work experience, but for those who do, some description of it helps us better evaluate your application.
GRE scores: These scores let us compare the basic skills of applicants from diverse backgrounds. We are aware that (1) test performance can improve considerably with practice, (2) some people do not perform well on tests, (3) and the verbal GRE is harder for some foreign applicants. While we do not require the GRE General score, the test provides an additional objective form of evaluation that is often helpful in determining an applicant's abilities.
TOEFL and IELTS scores: Applicants whose native language is not English and who have not received a college degree from an institution where the instruction is in English must take the TOEFL or IELTS exam. Additional evidence (e.g., certificate of completion of an English course) may also be submitted. We generally do not consider applicants who have scored below 620 (PBT) or 260 (CBT) or IBT (105), and prefer scores higher than that. The corresponding minimum IELTS score is 7.5.

English language requirements

托福(TOEFL iBT)總分: 90.0

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  • 職業發展
  • If you aren’t eligible for the above entry requirements, you might want to explore pathway options at 布朗大學. If you want to find out more, please speak to our counsellors.

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