Master of Mathematics & Statistics
所属信息
基本信息
项目时长
1 year申请截止日期
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秋季
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常规
2025/1/15
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其他
申请信息
TOEFL要求
79.00
IELTS要求
6.50
申请材料
GPA: B
GRE not required
GRE not required
特点
数学与统计研究生课程提供文学硕士、应用与工业数学硕士以及哲学博士学位。我们的教师在多个数学领域拥有广泛的研究兴趣,包括代数几何、应用数学、复杂性理论、微分方程等。同时,他们在统计领域的研究涵盖了统计基础、广义线性模型、统计推断等主题。这为学生提供了全面的学习和研究机会。
The Graduate Program in Mathematics & Statistics offers instruction leading to Master of Arts, Master of Science in Applied & Industrial Mathematics and Doctor of Philosophy degrees. Research interests of faculty members cover diverse areas of mathematics including algebraic geometry, applied mathematics, category theory, complexity theory, differential equations, dynamical systems, discrete mathematics, functional analysis, geometry, group theory, history of mathematics, logic and set theory, numerical analysis, optimization, probability, stochastic processes and topology. They also cover various areas of statistics including foundations of statistics, generalized linear models, interactive statistical graphics, statistical inference and survey sampling technique
课程设置介绍:
The Statistics program at York will provide you with modern tools and the practical training to analyze data, explain your findings graphically, and devise predictions for future events. You will also learn to use the statistical software packages used by industry professionals.
Applied and Industrial Mathematics
Industrial Mathematics
Mathematical Finance
Scientific Computing
Mathematical Biology
Disease Modelling and Computational Epidemiology
Pure Mathematics
Algebraic Combinatorics
Analysis
Category Theory
Number Theory
Set Theory
Statistics and Actuarial Science
Statistics and Probability
Biostatistics and Bioinformatics
Big Data
Machine Learning
Actuarial Science
The Graduate Program in Mathematics & Statistics offers instruction leading to Master of Arts, Master of Science in Applied & Industrial Mathematics and Doctor of Philosophy degrees. Research interests of faculty members cover diverse areas of mathematics including algebraic geometry, applied mathematics, category theory, complexity theory, differential equations, dynamical systems, discrete mathematics, functional analysis, geometry, group theory, history of mathematics, logic and set theory, numerical analysis, optimization, probability, stochastic processes and topology. They also cover various areas of statistics including foundations of statistics, generalized linear models, interactive statistical graphics, statistical inference and survey sampling technique
课程设置介绍:
The Statistics program at York will provide you with modern tools and the practical training to analyze data, explain your findings graphically, and devise predictions for future events. You will also learn to use the statistical software packages used by industry professionals.
Applied and Industrial Mathematics
Industrial Mathematics
Mathematical Finance
Scientific Computing
Mathematical Biology
Disease Modelling and Computational Epidemiology
Pure Mathematics
Algebraic Combinatorics
Analysis
Category Theory
Number Theory
Set Theory
Statistics and Actuarial Science
Statistics and Probability
Biostatistics and Bioinformatics
Big Data
Machine Learning
Actuarial Science