巴斯大学数学与数据科学专业 项目网站

Mathematics with Data Science for Industry

英国 公立

项目背景

`

更新时间:2024-04-01

专业排名351

大学巴斯大学

开学时间9月

课程学制1年

学费31600.00/GBP

专业介绍

Learn about key approaches in applied maths and data science that can be integrated to solve real-world problems. Are you a mathematical problem solver with a related undergraduate degree? Are you interested in applying maths, statistics and computer science to solve complex problems in industry? Then this course could be for you. The cutting edge of mathematical problem-solving in industry combines modelling, analysis and interpretation using methods from applied mathematics and the rapidly growing area of data science. The MSc Maths with Data Science for Industry is available as a one year course without a placement year, or a two year course with a placement. You’ll work on group projects with other students and have the opportunity to work on a project with one of our industrial partners, as well as study a range of taught units in applied maths techniques, mathematical modelling, data science, machine learning and scientific communication. Research specialisms could include industrial applied maths, statistics, machine learning, probability, differential equations, dynamical systems, asymptotics, numerical analysis, optimisation, imaging, modelling of waves and fluids, mathematical biology. A highlight of the course is the opportunity to work on a real project with one of our industry partners. You'll learn the ins and outs of the problem solving process including: identifying the problem and translating it into mathematical language; processing and analysing relevant data; solving the mathematical problem; communicating the results to the client. This may include spending several weeks working in the company. Examples of companies you could work with include The Met Office, Barclays, Emerson Roxar and Raytheon.

推荐顾问

世界排名

2020年

351

2019年

351

2018年

301

2017年

351

语言要求

类型
雅思
托福
PTE
Listen
6
21
59
Speak
6
21
59
Read
6
21
59
Write
6
21
59
总分
6.5
90
62

学术要求

数学,物理,工程类专业。 科目:含substantial数学科目。

课程设置

Compulsory course units:必修课程单元 Mathematical modelling for industry:工业数学建模 Industrial mathematics: context and practice:工业数学: 语境与实践 Applied Machine Learning:应用机器学习 Industrial applications of mathematics:数学的工业应用 Collaborative industrial research:协同工业研究 Statistical modelling:统计建模 Project:项目 Optional course units:可选课程单元 Scientific computing:科学计算 Numerical optimisation and large-scale systems:数值优化与大规模系统 Statistics for data science:数据科学统计 Classical statistical inference:经典统计推断 Mathematics of machine learning:机器学习数学 Inverse problems, data assimilation and filtering:逆问题、数据同化和过滤 Applied stochastic differential equations:应用随机微分方程 Viscous fluid dynamics:粘性流体动力学

相关专业