国际学生入学条件
Undergraduate program that includes calculus and linear algebra
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.
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雅思考试总分
6.5
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雅思考试指南
- 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.
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
这是计算机科学(CEAS)和统计学(COAS)部门提供的跨学科硕士课程。该学位课程的一半是计算机科学研究生课程,另一半是统计学研究生课程。毕业生将能够存储和访问来自各种来源的数据,处理大数据架构,将分析技术和算法应用于大型和复杂的数据集,应用数据处理和可视化,在协作团队中工作以及有效地沟通。该计划的重点是一门硕士项目课程,分两个学期。在本课程中,学生选择数据科学中的一个问题(主题),该问题要在CS和/或STAT教员的监督下进行。在第一学期末,学生将提交一份书面建议,定义问题,建议的解决方案以及完整的文献搜
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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