工业数学理学硕士

Master of Science in Industrial Mathematics

犹他州立大学

Utah State University

美国

学历文凭
Masters Degree
专业院系
Mathematics and Statistics Department
开学时间
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国际学生入学条件

Applicants are welcomed from any undergraduate technical major, including computer science, chemistry, engineering, math, physics and statistics. Undergraduate linear algebra, multivariate calculus and differential equations is prerequisite, as is computer programming experience.
GRE general scores (subject exams not required). We look for Quantitative scores above 60% and Verbal scores above 40%, but the application process is competitive so higher scores may be neccessary be competitive with other applicants.
TOEFL or IELTS (unless you have earned a degree in an English-speaking country, e.g. US, UK or Canada). To qualify for a teaching assistantship in our department the total
TOEFL iBT score must be 100 or above.
IELTS must be at or above 6.5 for TA consideration.
Transcripts of all past coursework. Your GPA must be above 3.0 during the last two years, and should be above 3.5 in technical subjects.

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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：100
托福笔试总分：160
其他语言考试：NA

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

工业数学计划向学生教授工业和数学科学领域的建模，模拟，数学和统计分析。学生准备从事各种政府和工业研究工作，在社区大学任教，以及进入应用数学或统计学博士学位课程。工业和科学实习合作伙伴提出了研究项目主题，最近的研究开发了贝叶斯优化工具，用于定量酶联免疫吸附测定（ELISA）中以检测生物病原体，使用路径规划算法来控制复杂环境中的机器人设备，或者开发了随机模型来描述植被对不断变化的干旱环境的反应。我们欢迎任何本科技术专业的申请者，包括计算机科学，化学，工程，数学，物理和统计学。
The Industrial Mathematics Program teaches students modeling, simulation, mathematical and statistical analysis for careers in industry and mathematical sciences. Students are prepared to work at a variety of government and industrial research jobs, teaching careers at community colleges as well as for entry to doctoral programs in applied mathematics or statistics. Research project topics are suggested by industrial and scientific internship partners, recent research has developed Bayesian optimization tools for use in quantitative Enzyme-Linked ImmunoSorbant Assay (ELISA) to detect bio-pathogens, used path planning algorithms to govern robotic devices in complicated environments, or developed stochastic models to describe vegetation responses to changing arid environments. Applicants are welcomed from any undergraduate technical major, including computer science, chemistry, engineering, math, physics and statistics.

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