卡迪夫大学Data Intensive Astrophysics专业 项目网站

Data Intensive Astrophysics

英国 公立 科学

项目背景

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更新时间:2024-04-25

专业排名201

大学卡迪夫大学

开学时间9月

课程学制1年

学费28200.00/GBP

专业介绍

The MSc in Data-Intensive Astrophysics has been designed to provide you with the skills and knowledge needed for a career in a range of areas including academic research in astronomy or astrophysics as well technical, development and engineering positions in related scientific fields. The MSc in Data-Intensive Astrophysics has been designed to provide you with the skills and knowledge needed for a career in a range of areas including academic research as well technical, development and engineering positions in the “in-demand” field of “Big Data” and related scientific fields. By combining data analysis and computational techniques with a core science discipline, the course is intended to satisfy the increasing demand for well-qualified postgraduates who are equipped with the expertise to respond to a range of challenges arising from this exciting field. It has been estimated that “Big Data” has already added thousands of new jobs to the UK economy and this is likely to increase as new approaches to data transform the public, private and academic sectors. The course is delivered by members of our Data Innovation Research Institute, which was recently established to conduct research into the aspects of managing, analysing and interpreting massive volumes of textual and numerical information. A key component of the course is a 3 month summer project, which will be based either in our School of Physics and Astronomy, or with one or more of our external partners. The project will focus on the application of modern data science methodologies to a problem in Astrophysics (such as star formation, galaxy formation or gravitational waves), providing the hands-on experience needed to succeed in the dynamic field of Data-Intensive Astrophysics as well as wider aspects of data science.

推荐顾问

世界排名

2020年

201

2019年

251

2018年

201

2017年

251

语言要求

类型
雅思
托福
PTE
Listen
5.5
17
59
Speak
5.5
20
59
Read
5.5
18
59
Write
5.5
17
59
总分
6.5
90
69

学术要求

计算机科学、经济学、工程学、管理科学、数学、运筹学或统计学等。 科目:含数学科目。

课程设置

Core courses:核心课程 Research Project:研究项目 Applied Machine Learning:应用机器学习 Principles of Machine Learning:机器学习原理 Data Analysis:数据分析 Advanced Techniques in Physics and Astrophysics:物理学和天体物理学的先进技术 Advanced Study and Research Skills:高级学习和研究技能 Optional courses:可选课程 Physics and Reality:物理与现实 Exoplanets and the Search for Life:系外行星与寻找生命 High Energy Astrophysics:高能天体物理学 Advanced General Relativity and Gravitational Waves:先进的广义相对论和引力波 Galaxies and Galaxy Evolution:星系和星系演化 Energy and Gas in Interstellar Space:星际空间中的能量和气体 Gravitational Wave Astrophysics:引力波天体物理学 Numerical Relativity and Waveform Modelling:数值相对论和波形建模