帝国理工学院/英国

授课型硕士 · 2027

统计学硕士

Statistics

理学硕士MSc

学制

1 年1 year

授课

全日制Full-time

学费

—

英语

雅思 7 · English language requirement All candidates must demonstrate a minimum level of English language proficiency for admission to Imperial。IELTS 7 · English language requirement All candidates must demonstrate a minimum level of English language proficiency for admission to Imperial. For admission to this course, you must achieve the higher university requirement in the appropriate English language qualification. For details of the minimum grades required to achieve this requirement, please see the English language requirements .

入学要求

2:1 in statistics, mathematics, engineering, physics or computer science.

学年课程

官网写明为示例课程,以当年公布为准

必修Core modules

  • 应用统计学Applied Statistics
  • 计算统计学与机器学习Computational Statistics and Machine Learning
  • Fundamentals of Statistical Inference
  • 概率统计学Probability for Statistics
  • 数据科学Data Science

选修Optional modules

  • 高级统计金融Advanced Statistical Finance
  • Big Data: Statistical Scalability with PySpark
  • Deep Learning (7.5 ECTS)
  • 导论统计金融Introduction to Statistical Finance
  • Nonparametric Statistics
  • Probabilistic Generative Models
  • Spatial Statistics (7.5 ECTS)
  • Statistical Learning for high-dimensional data
  • Stochastic Processes
  • Survival Models (7.5 ECTS)
  • Time Series Analysis (7.5 ECTS)
  • 优化统计学Optimisation for Statistics

申请节点

—

所载课名、学制、学费与入学要求摘自学校官网当年公布。中文名为惯例译名,英文以官网为准。缺字段写作「—」,不编数字。是否适合申请、如何排冲稳保,预约梳理后另议。

PRIVATE CONSULTATION

下一步:预约一次梳理

这一条只抄官网已经写明的标准。要不要申、怎么排,预约后单独谈。

预约梳理