Master of Science in Data Science
關於課程
The MSDS prepares professional students for the demands of tomorrow's workplace in data-driven decision making. Data science is an emerging interdisciplinary field whose purpose is the extraction of actionable insights from data. It employs theories and techniques from the core areas of statistics, computational mathematics, computer science, and information science. Our MSDS provides high-quality training in state-of-the-art data analysis and computational methods. We include coverage of the principles which underlie data science, encouraging students to understand not simply how to implement existing methods, but also why they work, when to use them appropriately, and when and how to develop novel methods tailored to new situations in any industry.
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開始日期及學費
學費僅供參考。立即與我們的留學顧問聯繫了解最新資訊。
- 課程總長: 3 Semester(s)
- 費用: 無法取得
In學年take | 位置 |
---|---|
Fall (August), 2024 | East Lansing |
Fall (August), 2025 | East Lansing |
如何申請
Entry requirements for 密西根州立大學
a 2-page letter of motivation (combined personal statement and academic statement, please do not submit two separate letters),
a detailed CV/resume including all relevant industrial experience if applicable,
full official transcripts from undergraduate and/or graduate institutions, sent by the granting institutions (unofficial copies can be uploaded by the applicant),
a minimum of three letters of recommendation sent directly by the recommenders (not attached to the application),
International English Language Testing System (IELTS). A minimum average score of 6.5 is required, with no subscore below 6.0.
Internet-based test (iBT): no subscore below 19 for reading, listening, and speaking, no writing subscore below 22, with a minimum average score of 80
最後申請期限:
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