全国统一学习专线 8:30-21:00
专业概况
在这里学什么? A diverse range of sectors, such as the IT industry, health, sports, finance, marketing and sales, require graduates with the ability to think clearly and logically, analyse complicated data sets, solve problems, make recommendations and communicate technical information in a language everyone can understand.A good grounding in mathematical thinking, statistics and computing is essential for creating and using algorithms and systems that identify patterns and extract value from masses of data.Coventry University has a long tradition of teaching mathematics, statistics and computing with a strong emphasis on its applications in practical situations. This new course blends all of these subject areas with a view to tackling a huge variety of interesting and engaging problems from business and industry – from fraud detection and credit risk to efficiency improvements and optimisation of delivery methods.You’ll have access to our modern computing facilities, which enable you to gain experience using mathematical software packages, like MAPLE and MATLAB®. You can also receive one-to-one assistance from Sigma, the University’s internationally-renowned Centre for Excellence in Mathematics and Statistics Support, which previously won the prestigious national Times Higher Education award for Outstanding Support for Students in 2011.There are opportunities to apply for summer research internships (subject to availability and application). Past students have, for example, undertaken internships analysing social networks of past cultures through ancient and mythological narratives or studied lattice models of polymers.**Key Course Benefits*** Strong portfolio of industrial research collaborations with, for example, the National Energy Laboratory, Calham Centre for Fusion Energy and Alcan.* Taught by staff conducting cutting-edge research; 86% of our research outputs were deemed world-leading or internationally excellent in the Research Excellence Framework (REF 2014).* Our sister Mathematics and Statistics degree, which shares some of the modules on this new course, has outstanding levels of student satisfaction – **** overall and 98% for the quality of teaching in the National Student Survey (NSS) 2016.* Student exchanges and visiting scholars thanks to close links with the University of Grenoble.所属院系
进入哪个院系学习? School of Computing, Electronics and Maths中国学生入学要求
为来自中国的学生设计 Excludes General Studies课程信息
学制:全日制(5 年)全日制(4 年)
学费:
开学时间:2022九月13日
申请截止日期:
留学地点:Main SitePriory Street,Coventry,Warwickshire,CV1 5FB, England