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Cranfield University

Cranfield, England, United Kingdom
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Computational and Software Techniques in Engineering - Computational Intelligence for Data Analytics at Cranfield University at Main

Computationally intelligent data handling algorithms are crucial in a wide range of sectors that require fast and automated decision-making. These industries typically include financial, manufacturing, aerospace, automotive and defense.

This specialist option of the MSc Computational and Software Techniques in Engineering will enable students to develop a solid base of computer science skills and focused expertise, necessary to develop fast algorithms capable of dealing with a range of complex problems where intelligent decision-making or future predictions are based on understanding of data collections.

Cranfield University has many years of specialist knowledge and experience in High Performance Computing. Cranfield University is able to offer a unique insight into the development of computer applications across a wide spectrum of modern computing environments, from multi-core CPUs to specialist GPUs to cloud computing, all of which are relevant to the IT industry today.

Students will focus on the enabling technologies aspects of high performance and cloud computing and algorithm development related to machine learning and data analytics.

Level Masters
Discipline Engineering
Duration 12 months
Intakes Jan, Sep
Application Fees GBP 0
Tuition Fees GBP 26580
Campus Main
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Admission Requirements
Language proficiency (minimum)
IELTS 6.5
TOEFL 92
PTE 65
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 - 70%

Rankings
QS Ranking --
Times Higher Education --
ARWU 801-900
Webometrics 610
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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