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University of Stirling

Stirling, Scotland, United Kingdom
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Big Data at University of Stirling at Main

Big data is increasingly important in today’s commercial landscape. As a data scientist specialising in big data, Graduates of this course will help companies make sense of large amounts of structured and unstructured data, providing rapid insights that enable them to make better, quicker decisions.

The MSc Big Data is a taught advanced Masters degree covering the technology of Big Data and the science of data analytics. Students will gain practical skills in big data technology, advanced analytics and industrial and scientific applications.

The course will teach students how to collect, manage and analyse big, fast moving data for science or commerce. They’ll learn skills in cutting-edge technology such as Python, R, Hadoop, NoSQL and Machine Learning. At the same time, students will delve into important maths and computing theory, and learn the advanced computational techniques needed to develop their career in data science.

Our MSc has been developed in partnership with global and local companies who employ data scientists. HSBC have a development centre in Stirling and have provided some very interesting Big Data projects to our students. Amazon’s development centre in Scotland is close by in Edinburgh.

The University of Stirling is a member of The Data Lab, an Innovation Centre that aims to develop the data science talent and skills required by industry in Scotland. It also supports our students with funding, networking and routes into employment. We also have close links with the Scottish Informatics and Computing Science Alliance (SICSA).

As a graduate in Big Data you’ll be able to work in a wide range of sectors such as digital technologies, energy and utilities, financial services, public sector and healthcare.

Level Masters
Discipline Sciences
Duration 12 months
Intakes Sep
Application Fees GBP 0
Tuition Fees GBP 21845
Campus Main
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Admission Requirements
Language proficiency (minimum)
IELTS 6
TOEFL 78
PTE 60
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 - 70%

Rankings
QS Ranking 452
Times Higher Education 401-500
ARWU 801-900
Webometrics 614
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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