Master of Computer Science in Big Data Systems
關於課程
Students acquire the knowledge, skills and expertise in designing scalable systems (parallel, distributed and real time) that acquire, store, process and access large-scale heterogeneous multisource data, and they learn to use analytical tools to mine information from the data
Graduates are able to choose and deploy the appropriate data management processing and analysis systems with a suitable structured or unstructured data model that a particular task and domain application needs.
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Entry requirements for 亞利桑那州立大學
An applicant whose native language is not English (regardless of current residency) must provide proof of English proficiency. Official TOEFL scores should be submitted from tests that must have been taken within the last two years (only required for those who did not graduate with a baccalaureate degree from an accredited U.S. institution). The TOEFL score must be valid on the first day of class for the term the student is applying for. CIDSE requires that TOEFL scores must be above 575 (paper) or 90 (iBT), or that the minimum IELTS is an overall band score of 7.0. Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree from a regionally accredited institution. Applicants must have a minimum of a 3.25 cumulative GPA (scale is 4.00 = A) in the last 60 hours of a student's first bachelor's degree program, or applicants must have a minimum of a 3.25 cumulative GPA (scale is 4.00 = A) in an applicable master's degree program.
English language requirements
托福(TOEFL iBT)總分: 90.0
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