爱丁堡大学统计与数据科学专业 项目网站

Statistics with Data Science

英国 公立 科学

项目背景

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更新时间:2024-01-15

专业排名36

大学爱丁堡大学

开学时间9月

课程学制1年

学费29900.00/GBP

专业介绍

In this digital and data-rich era the demand for statistics graduates from industry, the public sector and academia is high, yet the pool of such graduates is small. The recent growth of data science has increased the awareness of the importance of statistics, with the analysis of data and interpretation of the results firmly embedded within this newly recognised field. This programme is designed to train the next generation of statisticians with a focus on the newly recognised field of data science. The syllabus combines rigorous statistical theory with wider hands-on practical experience of applying statistical models to data. In particular the programme includes: classical and Bayesian ideologies computational statistics regression data analysis of a range of models and applications Graduates will be in high demand. It is anticipated that the majority of students will be employed as statisticians within private and public institutions providing statistical advice/consultancy.

推荐顾问

世界排名

2020年

36

2019年

47

2018年

51

2017年

51

语言要求

类型
雅思
托福
PTE
Listen
6
20
59
Speak
6
20
59
Read
6
20
59
Write
6
20
59
总分
6.5
92
62

学术要求

numerate类专业如数学、工程学、计算机科学、物理或生物科学、经济学或商学。 科目:足够的数学科目微积分(包括多变量微积分)、线性代数、概率论、统计学和统计理论。

课程设置

Compulsory courses 必修课 Bayesian Theory:贝叶斯理论 Extended Statistical Programming:扩展统计规划 Generalised Regression Models:广义回归模型 Bayesian Data Analysis:贝叶斯数据分析 Incomplete Data Analysis:数据分析不完全 Statistical Research Skills:统计研究技能 Dissertation (SDS):论文 (SDS) Optional courses 选修课 Machine Learning and Pattern Recognition:机器学习和模式识别 Theory of Statistical Inference:统计推断理论 Fundamentals of Operational Research:运筹学基础 Statistical Methodology:统计方法 Stochastic Modelling:随机建模 Fundamentals of Optimization:优化基础 Python Programming:Python编程 Probabilistic Modelling and Reasoning:概率建模与推理 Methods for Causal Inference:因果推断的方法 Multivariate Data Analysis:多变量数据分析 Simulation:仿真 Time Series:时间序列 Large Scale Optimization for Data Science:数据科学的大规模优化 Credit Scoring:信用评分 Machine Learning in Python:Python中的机器学习 Biostatistics:生物统计学 Targeted Causal Learning:有针对性的因果学习 Text Technologies for Data Science:数据科学的文本技术

申请案例

学生姓名:郝 **

毕业学校:河南理工大学

本科专业:计算机

基本背景: /GPA85.4/100/雅思0