国际学生入学条件
Students entering our Master of Science in Statistical Science program should have a bachelor's or master's degree from an accredited university. Academic preparation should include at least two undergraduate courses in statistics, some background in mathematics that includes courses in multivariate calculus and linear algebra, and some familiarity with computer programming.
A 300-500 word Personal Statement regarding your current goals, research interests, and plans for your professional career. At least three letters of recommendation. Official academic records from all post-secondary institutions.
Non-native English speakers must provide a TOEFL score (minimum score of 79 on the IBT), IELTS score (minimum score of 6.5), or a Duolingo score (minimum score of 100).
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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:79
- 托福笔试总分:160
- 其他语言考试:Duolingo score (minimum score of 100).
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
IUB的统计系提供的研究生课程包括应用统计硕士学位,统计科学硕士学位和博士学位。统计科学学位。应用统计学硕士课程是为攻读博士学位的学生而设计的。他希望通过获得统计专业的学位以及本专业的研究生学位来增强其统计知识和证书的另一个领域的专家。统计科学硕士学位旨在帮助学生为从事商业,政府或行业工作的专业统计学家职业做好准备。博士 学位课程是一个严格的面向研究的计划,无论是在理论上还是在应用上,都可以促成学术界或行业的职业发展。MS计划培养学生成为应用统计学家,他们可以与各个学科的研究人员合作来设计实验和分析数据。
Statistics is an increasingly interdisciplinary field. Recognizing that fact, the IU Department of Statistics welcomes students from a variety of quantitative backgrounds, not just statistics and mathematics.<br>The M.S. in Applied Statistics is intended for the student pursuing a Ph.D. degree in another field who wishes to enhance his or her statistical knowledge and credentials by obtaining a graduate degree in Statistics, in addition to a Ph.D. degree in his or her primary field of study.<br>Students entering our Master of Science or Ph.D. in Statistical Science programs should have a bachelor's or master's degree from an accredited university. Academic preparation should include at least two undergraduate courses in statistics, some background in mathematics that includes courses in multivariate calculus and linear algebra, and some familiarity with computer programming.
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