帝国理工学院应用计算科学与工程专业 项目网站

Applied Computational Science and Engineering

英国 公立

项目背景

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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

Our MSc in Applied Computational Science and Engineering will educate future domain-specialists in computational science. This course will expand your knowledge of numerical methods, computational science, and how to solve large scale problems by applying novel science and engineering approaches. It is suitable for graduates of disciplines including maths and physical sciences, geophysics and engineering, and computer science. This immersive, hands-on MSc course will enable students to develop their skills and techniques for a range of science and engineering applications utilising High Performance Computing resources. Students will learn alongside world-class researchers in the Department of Earth Science and Engineering. There will be a strong emphasis on high productivity problem solving using modern computational methods and technologies, including computer code development and parallel algorithms. Applicants who want to pursue analytical careers in industries across science and engineering are a target for this course. Graduates will develop the skills necessary to enter the modern industrial workforce. This MSc will also prepare for your PhD studies in fields such as computational techniques, numerical analysis, optimisation and inversion, fluid mechanics, heat transfer, and machine learning applications. The Applied Computational Science and Engineering MSc programme will ensure that students are able to apply appropriate computational techniques to understand, define and develop solutions to a range of science and engineering problems. Students will have the chance to participate in individual and group research projects as well as to write reports and present technical work, developing the project management and numerical skills that employers want.

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:工程或科学类专业

课程设置

Modern Programming Methods:现代编程方法 Computational Mathematics: 计算数学 Applying Computational Data Science: 应用计算数据科学 Data Science and Machine Learning: 数据科学和机器学习 Deep Learning: 深度学习 Modelling and Numerical Methods: 建模和数值方法 Advanced Programming: 高级编程 Inversion and Optimisation: 反演和优化 Patterns for Parallel Programming: 并行编程的模式

申请案例

学生姓名:张**

毕业学校:宁夏大学

本科专业:计算机科学

基本背景: 四年级/GPA91/100/雅思7

学生姓名:罗**

毕业学校:延边大学

本科专业:电子电气

基本背景: 四年级/GPA82.9/100/雅思6.5

学生姓名:赵**

毕业学校:澳门科技大学

本科专业:计算机科学

基本背景: 四年级/GPA3.67/4/雅思0

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