国际学生入学条件
Students should have a master's degree in a mathematically-intensive discipline with a minimum 3.50 GPA.Must have a baccalaureate degree from a regionally accredited institution of higher education.Earned or will earn a four-year baccalaureate degree from a regionally acredited US institution, or an equivalent degree from a nationally recognized non-US institution. Earned a 3.00 GPA on a 4.00 scale or better in your baccalaureate study. IELTS (Academic Test) - 6.5.TOEFL (Internet Based) - 80 points total, no minimum section scores.PBT - 570 points.
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IDP—雅思考试联合主办方

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:570
- 其他语言考试:Pearson Academic Test of English: A minimum score of 59, all applicants
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
梅森(Mason)的统计科学博士学位强调数学理论,计算和数据分析。课程工作重点是算法和仿真,度量和线性空间,概率论和数理统计。该计划为学生做好了从事研究以及行业和政府的职业生涯的准备,使其适合高级统计学家,高级数据科学家或高级生物统计学家等职位。该计划的主要系当前的研究领域包括生物识别,生物统计学,统计遗传学,统计图形,数据保密性,网络分析和数据探索。统计科学博士学位代表着统计学家最高的学术成就,因此,它需要对现代统计理论和实践有深入的了解。学位课程是数学理论,计算和数据分析的混合体,希望学生精通这三门课
Mason's PhD in statistical science emphasizes mathematical theory, computation, and data analysis. Coursework focuses on algorithm and simulation, measure and linear space, probability theory, and mathematical statistics. The program prepares students for careers in research as well as in industry and government, for positions such as senior statistician, senior data scientist, or senior biostatistician. Current research areas of key department faculty in the program include biometric identification, biostatistics, statistical genetics, statistical graphics, data confidentiality, networking analysis, and data exploration. The PhD in Statistical Science represents the highest academic attainment for a statistician and, as such, requires in-depth knowledge of modern statistical theory and practice. The degree program is a hybrid of mathematical theory, computation, and data analysis, and students are expected to be proficient in all three. Current research areas of key department faculty in the program include biostatistics, statistical genetics, statistical graphics, data confidentiality, networking analysis, and data analytics.
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