帝国理工学院地球能源与机器学习和数据科学专业 项目网站

Geo-Energy with Machine Learning and Data Science

英国 公立

项目背景

`

更新时间:2024-01-15

专业排名14

大学帝国理工学院

开学时间10月

课程学制1年

学费39400.00/GBP

专业介绍

Data science and machine learning are revolutionising the study of subsurface geoscience and engineering. If you’re a mathematician or a physical or computer scientist keen to apply your skills to this field, or you have a geoscience or engineering background and you want to learn data science and machine learning tools and approaches, this is the ideal course for you. You’ll cover the fundamental processes and various applications of subsurface geoscience and engineering, while learning to apply data science, numerical methods and machine learning to problems in the sector. There are opportunities to apply these concepts to real-world settings, which you’ll do on a geological field trip and to a technical problem you identify, for which you'll design and present your own computational or data science-based solution. The course provides you with the opportunity to develop in-demand skills for a range of careers, from geoenergy, tech, computing and consultancy or go into further research.

推荐顾问

世界排名

2020年

14

2019年

15

2018年

12

2017年

12

语言要求

类型
雅思
托福
PTE
Listen
6
20
56
Speak
6
20
56
Read
6
20
56
Write
6
20
56
总分
6.5
92
62

学术要求

领域:地质或物理学科,或工程学科 科目:数学(至少等同于A Level),计算机编程

课程设置

Numerical Programming in Python:Python中的数值编程 Data Science and Machine Learning: 数据科学和机器学习 Computational Mathematics: 计算数学 Applying Computational Data Science: 应用计算数据科学 Introduction to Resource Geology and Geophysics: 资源地质和地球物理简介 Fluids and Fluid Flow in Porous Media: 多孔介质中的流体和流体流动 Geomechanics and Pressure Analysis: 地质力学和压力分析 Energy Geoscience and Engineering: 能源地球科学与工程 Deep Learning: 深度学习

申请案例

学生姓名:阚**

毕业学校:西交利物浦

本科专业:环境科学

基本背景: 四年级/GPA87.3/100/雅思0

学生姓名:文**

毕业学校:石河子大学

本科专业:环境科学

基本背景: 四年级/GPA88.5/100/雅思0

学生姓名:吴**

毕业学校:暨南大学

本科专业:信息与计算科学

基本背景: 已毕业/GPA91.7/100/雅思0

相关专业