MSc Biostatistics
所属信息
基本信息
项目时长
1年学费估算
207000申请截止日期
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秋季
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常规
5.17
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其他
申请信息
TOEFL要求
79.00
IELTS要求
6.50
工作经验要求
加分项Applicants satisfying the admission requirements who have relevant working experience will be considered favourably.
Prerequisite
拥有公认的本科学位，其中包括数学或生物医学方面的课程。 强烈鼓励学习微积分、线性/矩阵代数和统计学入门的学期课程。
在本科学习期间可能没有受过扎实的数学和统计学训练的申请人也将被考虑。 之前在线性代数、微积分和统计学方面的课程是非常可取的。
符合录取要求的申请人，如果有相关的工作经验，将得到积极的考虑。Possess a recognized undergraduate degree that includes courses in the mathematical or biomedical sciences. Semester courses in calculus, linear/matrix algebra and introductory statistics are highly encouraged.
Applicants who might not have solid training in mathematics and statistics during their undergraduate studies would also be considered. Prior coursework in linear algebra, calculus and statistics is highly desirable.
Applicants satisfying the admission requirements who have relevant working experience will be considered favourably.
在本科学习期间可能没有受过扎实的数学和统计学训练的申请人也将被考虑。 之前在线性代数、微积分和统计学方面的课程是非常可取的。
符合录取要求的申请人，如果有相关的工作经验，将得到积极的考虑。Possess a recognized undergraduate degree that includes courses in the mathematical or biomedical sciences. Semester courses in calculus, linear/matrix algebra and introductory statistics are highly encouraged.
Applicants who might not have solid training in mathematics and statistics during their undergraduate studies would also be considered. Prior coursework in linear algebra, calculus and statistics is highly desirable.
Applicants satisfying the admission requirements who have relevant working experience will be considered favourably.
适宜学生
生物统计学理学硕士旨在通过创新课程培养下一代生物统计学家，使他们具备必要的分析、领导和沟通技能，以应对数据密集时代的挑战。它将有助于促进新的统计理论的发展和最先进的数据分析解决方案的应用，以解决公共卫生、兽医流行病学和生物医学科学中的问题。
特点
1 - 一体化健康中的生物统计学简介 - Introduction to Biostatistics in One Health
2 - 一体化健康和流行病学的原则 - Principles of One Health and Epidemiology
3 - 概率论 - Probability
4 - 统计计算 - Statistical Computing
5 - 生物统计学的高级方法 - Advanced Methods in Biostatistics
6 - 统计推断 - Statistical Inference
7 - 交流和项目研究 - Communication and Project Study
8 - 时间序列分析 - Time Series Analysis
9 - 空间数据分析 - Spatial Data Analysis
10 - 分类数据分析的统计方法 - Statistical Methods for Categorical Data Analysis
11 - 统计学习简介 - Introduction to Statistical Learning
12 - 计算生物学、实验设计和数据科学 - Computational Biology, Experimental Design and Data Science
2 - 一体化健康和流行病学的原则 - Principles of One Health and Epidemiology
3 - 概率论 - Probability
4 - 统计计算 - Statistical Computing
5 - 生物统计学的高级方法 - Advanced Methods in Biostatistics
6 - 统计推断 - Statistical Inference
7 - 交流和项目研究 - Communication and Project Study
8 - 时间序列分析 - Time Series Analysis
9 - 空间数据分析 - Spatial Data Analysis
10 - 分类数据分析的统计方法 - Statistical Methods for Categorical Data Analysis
11 - 统计学习简介 - Introduction to Statistical Learning
12 - 计算生物学、实验设计和数据科学 - Computational Biology, Experimental Design and Data Science
