帝国理工学院Machine Learning and Big Data in the Physical Sciences专业 项目网站

Machine Learning and Big Data in the Physical Sciences

英国 公立

项目背景

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更新时间:2024-05-21

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38500.00/GBP

专业介绍

This MRes will cover the methodologies and toolkits for research involving large data sets. The challenges faced in modern physics research, combined with the large datasets and data rates generated, make the field a unique development ground for machine learning and artificial intelligence. You will learn the science behind these methods and how they can be deployed in real research. During the course, you will discover the tools used in research, both within academia and industry, and how to apply them to real-life experimental data. The main component of this course is an extended research project where you will carry out original work embedded in a research group. You will explore cutting-edge research within your chosen topic, working with and learning from world-leading experts at the College.

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
6.5
22
62
Speak
6.5
22
62
Read
6.5
22
62
Write
6.5
22
62
总分
7
100
69

学术要求

领域:相关专业如金融,computer engineering,临床医学或transportation领域; 如学术条件不足可用3年工作经验个案评估

课程设置

Statistical Methods for Experimental Physics:实验物理的统计方法 Practical Data Analysis and Machine Learning in the Physical Sciences: 物理科学中的实用数据分析和机器学习 Accelerated Processing for Big Data Analysis: 大数据分析的加速处理 Advanced Particle Physics: 高级粒子物理 Computational Physics: 计算物理 Laser Technology: 激光技术 Plasmonics Metamaterials: 等离子体超材料 Space Physics: 空间物理

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