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Nottingham Trent University

Nottingham, England, United Kingdom
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Data Science at Nottingham Trent University at Clifton

This course covers the fundamentals of Data Science including Big Data infrastructure, AI and statistical analysis and the mining of data. Developing students' understanding of deriving value from the data analytics functions is also a focus of this course.

Students will learn how to support organisations in improving their data capture, management and analysis processes with a focus on efficiency and profit, whilst adhering to the current highest ethical standards.

This course builds on Nottingham Trent University’s experience of upskilling major employers in the region in the areas of data analytics and data science. Their previous experience in work-based learning prepared graduates to take innovative roles in the rapidly changing Data Science industry.

Studying takes place in Nottingham Trent University's purpose-built ISTeC building, where students will have access to the specialist Data Science teaching facility and 3D imagery lab.

Level Masters
Discipline Computer Science and IT
Duration 12 months
Intakes Sep
Application Fees GBP 0
Tuition Fees GBP 19100
Campus Clifton
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Admission Requirements
Language proficiency (minimum)
IELTS 6.5
TOEFL 81
PTE 62
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 - 68.0%

Rankings
QS Ranking 592
Times Higher Education 501-600
ARWU 801-900
Webometrics 520
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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