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Teesside University

Middlesbrough, England, United Kingdom
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About

Data Science at Teesside University at Main

Data scientists use a range of computational and statistical techniques to unlock insight from data and solve complex problems. This emerging profession sits at the cutting-edge of computer science and graduates are increasingly in demand from industry. This innovative data science course equips students with the specialist skills and knowledge to make an immediate and meaningful contribution to a range of industry environments.

Students are taught by expert staff from Teesside's machine intelligence research group, ensuring that they have access to the very latest thinking from the field of data science. Students have the opportunity to contribute to live research and to progress from postgraduate study to postdoctorate research. The School has a proven record of successful research, consultancy and enterprise projects with industry in the field of data science, which means that staff have relevant real-world case studies to draw upon for teaching materials.

Level Masters
Discipline Computer Science and IT
Duration 16 months
Intakes Jan, Sep
Application Fees GBP 0
Tuition Fees GBP 15000
Campus Main
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Admission Requirements
Language proficiency (minimum)
IELTS 6
TOEFL 80
PTE 59
Duolingo Not Accepted
Exam proficiency (minimum)
SAT Not Required / Waiver
ACT Not Required / Waiver
GRE Not Required / Waiver
GMAT Not Required / Waiver
Requirements

Minimum GPA - 60%

Rankings
QS Ranking --
Times Higher Education --
ARWU 1371
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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