MSc in Advanced Studies in Statistics and Data Science
所属信息
基本信息
项目时长
1年学费估算
198000申请截止日期
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秋季
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常规
2.28
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其他
申请信息
IELTS要求
6.50
工作经验要求
官网没有明确说明
Prerequisite
毕业于公认的大学，并获得学士学位，通常荣誉成绩不低于二等；或
毕业于公认大学的荣誉课程，并获得学士学位，通常平均成绩不低于 "B"；或
完成高等教育机构的课程，并获得相当于荣誉学位的专业或类似资格。
除研究生院的一般要求外，申请人还应具备以下条件
统计学或相关学科二等荣誉或以上的学士学位。graduated from a recognized university and obtained a bachelor's degree, normally with honours not lower than Second Class; or
graduated from an honours programme of a recognized university with a bachelor's degree, normally achieving an average grade of not lower than "B"; or
completed a course of study in a tertiary educational institution and obtained professional or similar qualifications equivalent to an honours degree.
In addition to the general requirements of the Graduate School, applicants should have:
a Bachelor degree with second class honours or above in Statistics or related subjects.
毕业于公认大学的荣誉课程，并获得学士学位，通常平均成绩不低于 "B"；或
完成高等教育机构的课程，并获得相当于荣誉学位的专业或类似资格。
除研究生院的一般要求外，申请人还应具备以下条件
统计学或相关学科二等荣誉或以上的学士学位。graduated from a recognized university and obtained a bachelor's degree, normally with honours not lower than Second Class; or
graduated from an honours programme of a recognized university with a bachelor's degree, normally achieving an average grade of not lower than "B"; or
completed a course of study in a tertiary educational institution and obtained professional or similar qualifications equivalent to an honours degree.
In addition to the general requirements of the Graduate School, applicants should have:
a Bachelor degree with second class honours or above in Statistics or related subjects.
适宜学生
该课程由统计系组织实施。该课程专为具有深厚统计学和数据科学背景并有兴趣进一步探索这些学科的学生量身定制。我们提供先进的理论和实践培训，让毕业生掌握知识发现和决策制定所需的技能。
特点
1 - 高级统计推理 - Advanced Statistical Inference
2 - 统计机器学习 - Statistical Machine Learning
3 - 数据科学应用线性模型 - Applied Linear Models For Data Science
4 - 高维数据分析 - High-Dimensional Data Analysis
5 - 离散数据分析 - Discrete Data Analytics
6 - 数据科学中的优化 - Optimization In Data Science
7 - 数据管理 - Data Management
8 - 高级时间序列 - Advanced Time Series
9 - 生物医学研究中的统计方法 - Statistical Methods In Biomedical Research
10 - 机器学习中的贝叶斯统计应用 - Bayesian Statistics With Applications In Machine Learning
11 - 应用深度学习 - Applied Deep Learning
12 - 研究讲习班 - Research Workshop
2 - 统计机器学习 - Statistical Machine Learning
3 - 数据科学应用线性模型 - Applied Linear Models For Data Science
4 - 高维数据分析 - High-Dimensional Data Analysis
5 - 离散数据分析 - Discrete Data Analytics
6 - 数据科学中的优化 - Optimization In Data Science
7 - 数据管理 - Data Management
8 - 高级时间序列 - Advanced Time Series
9 - 生物医学研究中的统计方法 - Statistical Methods In Biomedical Research
10 - 机器学习中的贝叶斯统计应用 - Bayesian Statistics With Applications In Machine Learning
11 - 应用深度学习 - Applied Deep Learning
12 - 研究讲习班 - Research Workshop
