南安普顿大学赛车空气动力学专业 项目网站

Race Car Aerodynamics

英国 公立

项目背景

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更新时间:2024-01-15

专业排名103

大学南安普顿大学

开学时间9月

课程学制1年

学费32300.00/GBP

专业介绍

Our unique MSc Race Car Aerodynamics degree is recognised as a world-leading course for those wanting to enter Formula 1 as aerodynamicists and computational fluid dynamics engineers. It will enhance your knowledge of the fundamentals of aerodynamics and your skills in the analysis, modelling and measurement of turbulent flows associated with high-performance race cars. This course is ideal if you: are from an engineering, scientific or maths backgrounds have some experience of fluid dynamics want to specialise in aerodynamics for high-performance vehicles You’ll take part in individual and group practical work as well as a critical research project, developing your expertise in race car design, and learn to evaluate and apply experimental aerodynamic concepts. You’ll also learn advanced computational fluid dynamics and numerical procedures to counteract problems that may occur in the design process. You’ll benefit from state-of-the-art facilities including high-performance computers and the RJ Mitchell Wind Tunnel, the largest university wind tunnel in the UK. Recent graduates have gone on to work in Formula One teams such as Mercedes-AMG Petronas Motorsport and Racing Point Force India.

推荐顾问

世界排名

2020年

103

2019年

109

2018年

106

2017年

103

语言要求

类型
雅思
托福
PTE
Listen
6
21
58
Speak
6
23
58
Read
6
22
58
Write
6
21
58
总分
6.5
92
62

学术要求

相关的工程,physical sciences及相关专业+含流体力学和空气动力学科目

课程设置

Mandatory 必修 Applications of CFD:CFD的应用 Experimental Methods for Aerodynamics:空气动力学的实验方法 MSc Research Project:理学硕士研究项目 Race Car Aerodynamics:赛车空气动力学 Race Car Design/GDP:赛车设计/国内生产总值 Turbulence:湍流 Optional 选修 Advanced Computational Methods I:高级计算方法I Automotive Chassis and Powertrain:汽车底盘和动力总成 Automotive Propulsion:汽车推进 Computational Aerodynamics:计算空气动力学 Data-Driven Methods for Flow Analysis and Control:用于流量分析和控制的数据驱动方法 Design Search and Optimisation (DSO) - Principles, Methods, Parameterizations and Case Studies:设计搜索和优化 (DSO) -原理,方法,参数化和案例研究 Introduction to Machine Learning:机器学习简介 Numerical Methods:数值方法 Wing Aerodynamics:机翼空气动力学