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Coventry University

Coventry, England, United Kingdom
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About

Data Science and Computational Intelligence at Coventry University at Main

This Master’s course aims to respond to the demand for data scientists with the skills to develop innovative computational intelligence applications, capable of analysing large amounts of complex data to inform businesses decisions and market strategies.

Multidisciplinary content covers machine learning, neural networks, big data analysis, information retrieval, fuzzy systems and evolutionary computation. Students will have opportunities to undertake practical projects, applying their learning to real-life problems in business, finance, security, industry control, engineering, natural language processing, information retrieval and bioinformatics.

Coventry University offers chances to learn alongside active researchers in areas such as pervasive computing, distributed computing and application, as well as innovative applications for interactive virtual worlds.

Work placement option

This master's programme provides candidates with the additional option to apply for a 'work placement' opportunity during their first semester with them. The 'work placement' is designed to further develop skills, knowledge and professional experience with the aim of maximising employability prospects.

Level Masters
Discipline Computer Science and IT
Duration 12 months
Intakes Jan, Sep
Application Fees GBP 0
Tuition Fees GBP 20050
Campus Main
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Admission Requirements
Language proficiency (minimum)
IELTS 6.5
TOEFL 88
PTE 71
Duolingo Not Required / Waiver
Exam proficiency (minimum)
SAT Not Required / Waiver
ACT Not Required / Waiver
GRE Not Required / Waiver
GMAT Not Required / Waiver
Requirements

Minimum GPA - 65%

Rankings
QS Ranking --
Times Higher Education --
ARWU 638
Webometrics --
QS Ranking

QS Quacquarelli Symonds is the world’s leading provider of services, analytics, and insight to the global higher education sector, whose mission is to enable motivated people anywhere in the world to fulfil their potential through educational achievement, international mobility, and career development.

THE Ranking

THE (Times Higher Education) has been providing trusted performance data on universities for students and their families, academics, university leaders, governments and industry, since 2004. We create university rankings to assess university performance on the global stage and to provide a resource for readers to understand the different missions and successes of higher education institutions.

Shanghai Ranking

The Academic Ranking of World Universities (ARWU) was first published in June 2003 by the Center for World-Class Universities (CWCU), Graduate School of Education (formerly the Institute of Higher Education) of Shanghai Jiao Tong University, China, and updated on an annual basis

Webometrics Ranking

The "Webometrics Ranking of World Universities" is an initiative of the Cybermetrics Lab, a research group belonging to the Consejo Superior de Investigaciones Científicas (CSIC), the largest public research body in Spain. CSIC is among the first basic research organizations in Europe. The CSIC consisted in 2006 of 126 centers and institutes distributed throughout Spain.

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