国际学生入学条件
With citizenship from a country outside the U.S.
have no college coursework (or have less than 15 credit hours from an accredited university).
have an equivalent GPA 3.0 or higher (4.0 scale).
IELTS - 6.5
TOEFL (iBT) - 79, TOEFL (PBT)- 550
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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:550
- 其他语言考试:Duolingo English Test- 105
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
数学是一门处理数据,测量和科学观察,进行推论,推论和证明以及发展生物,化学,物理和社会系统分析模型的科学。数学专业的学生可以在许多不同领域找到工作:生物医学研究,金融机构,精算公司,政府机构以及与军队有关的各种团体。在行业中,数学家通常是从事复杂项目的多学科团队的重要成员,并且是运营和物流团队的一部分。系的研究和教学兴趣包括应用数学,微分几何,算子代数和算子理论,非线性偏微分方程,偏微分方程,常微分方程,动力学系统,机器智能,科学计算,分岔理论,对称性,数值分析,复杂分析,计算流体动力学等。数学系提供文学
The Department of Mathematics at the University of Houston offers an excellent environment to study mathematics and its applications. In terms of enrollment, we are the largest department on campus, with approximately 10,000 students taking math courses each semester. The department has around 300 undergraduate majors and 80 graduate students. Our diverse faculty is both research active and deeply committed to the teaching endeavor. Majors in our department have the opportunity to learn from faculty members who are not only experts in their field, but who are involved in making significant contributions to the advancement of mathematics through their research. Numerous seminars, colloquia, and frequent visitors contribute to the lively intellectual atmosphere of our department, and we have a multitude of extracurricular activities and opportunities for our undergraduate majors. In addition, students can pursue a variety of more specialized research areas within the context of the major in mathematics. The department offers special degree options in mathematical biology, financial mathematics, and teaching certification in mathematics, as well as excellent preparation for graduate school or professional programs.<br><br>Department research and teaching interests include applied mathematics, differential geometry, operator algebras and operator theory, partial differential equations, ordinary differential equations, dynamical systems, machine intelligence, scientific computation, numerical analysis, complex analysis, mathematical biology, computational fluid dynamics, and more.
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