学历文凭
Masters Degree
专业院系
数据库管理
开学时间
课程时长
课程学费
国际学生入学条件
A course in probability
A course in statistical methods
Introduction to R software
Strong background in an object oriented programming language such as Java or C++
A resume or curriculum vitae CV is required please submit within the online application system
This program does not require a graduate test
This program does not require any supplemental recommendations
Please prepare a statement which covers the following information and attach it within the online application
Summarize your experiences in academic professional research creative or scholarly activities and indicate how these experiences make you an ideal candidate for graduate study in your selected program Also address how these activities align with the strengths of your chosen program and faculty and with your professional goals including future job positions This statement doublespaced and between 500 1500 words should demonstrate your communication skills and writing competence
An official transcript from the institution from which you received your bachelor degree is required as well as a transcript from the institutions where any additional graduate level courses or degrees have been taken completed Applicants are not required to submit an official transcript of courses taken completed at WMU
An overall grade point average of at least 3.0 in the last two years of undergraduate work.
Test of English as a Foreign Language TOEFL 80 iBT graduate.
TOEFL Essential 8 Graduate.
International English Language Testing System IELTS Academic - 6.5 graduate.
Pearson Test of English Academic Module PTE - 54 graduate.
IDP—雅思考试联合主办方
雅思考试总分
6.5
了解更多
- 雅思总分:6.5
- 托福网考总分:80
- 托福笔试总分:550
- 其他语言考试:Duolingo - 115.
课程简介
This is an interdisciplinary Master of Science program offered jointly by the Department of Statistics (COAS) and the Department of Computer Science (CEAS), housed in the Department of Statistics. Data Science is today one of the most rapidly developing disciplines and data scientists are in high demand in the job market. Students in this program would develop a skill set that will allow them to take on current and future complex data challenges. Graduates will be able to store and access data from a variety of sources (also heterogeneous), process Big Data architecture, apply analytic techniques and algorithms (including statistical and data mining) to large, complex data sets, apply relevant environments for data processing and visualization, work in collaborative teams and communicate effectively.<br><br>A minimum of 32 hours is required and the resulting degree is a Master of Science in Data Science.
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