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Professional Master of Science in Computer Science - Big Data

在西門菲莎大學
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Canada

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課程級別

碩士學位課程

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16 Month(s)

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03 September 2024

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7.0 IELTS

The Master of Science in Big Data develops data architects who apply a deep knowledge of computer science to create new tools that find value in the vast amounts of information generated today. Students are well-prepared to become data scientists/programmers, data solutions architects, and chief data officers capable of offering insights that influence strategic decision-making. The curriculum was developed and is constantly being refined using input from an advisory panel of industry leaders. Through SFU's respected co-op program, students tackle real-world challenges, gain valuable project management experience, and grow their network of industry contacts.
Students will take mandatory hands-on lab courses along with specialized courses in Big Data. All students need to take a graduate co-op or capstone project.”

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  • 課程總長: 16 Month(s)
  • 費用: 無法取得
In學年take 位置
Fall (September), 2024 Burnaby

Entry requirements for 西門菲莎大學

A bachelor's degree from Simon Fraser University or its equivalent from a recognized institution. A cumulative grade point average of at least 3.0/4.33 (B), or a grade point average of at least 3.33/4.33 (B+) based on the last 60 credits of undergraduate courses. All graduate work is also considered. Individual graduate programs may set a higher admission grade point average.IELTS overall band score of 7.0 of the academic test with a minimum of 6.5 in each section.Paper-based TOEFL -580 and TWE 5,Internet-based TOEFL 93 with minimum of 20 in each category.

English language requirements

托福(TOEFL iBT)總分: 93.0

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