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University of Greenwich

London, England, United Kingdom
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Data Science at University of Greenwich at Main

The University of Greenwich's MSc in Data Science equips graduates to embark on highly skilled careers in data science, artificial intelligence and machine learning. This specialist degree provides a theoretical knowledge of data science alongside the practical skills that will help students prosper in the jobs market.

Students will be exposed to a broad range of topics such as data science, statistics, specialist programming, machine learning and data visualization. Moreover, they'll be provided with the necessary tools to understand the in-depth theory behind data science and artificial intelligence.

In a typical week, learning takes place through a combination of lectures, tutorials and practical work in the labs. Learners will be able to discuss and develop their understanding of topics covered in lectures in smaller group sessions, and to put their knowledge into practice in the University's specialist computer laboratories. Outside of timetabled sessions, students will need to dedicate time to self-study to complete coursework, and prepare for presentations and exams.

Graduates from this Data Science course are equipped for employment in industry, commerce or research with a proficiency in the key theoretical and practical areas of data science, including their application to modern artificial intelligence systems.

Level Masters
Discipline Computer Science and IT
Duration 12 months
Intakes Jan, Sep
Application Fees GBP 0
Tuition Fees GBP 16300
Campus Main
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Admission Requirements
Language proficiency (minimum)
IELTS 6.5
TOEFL 87
PTE 76
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 691-700
Times Higher Education 501-600
ARWU 701-800
Webometrics 777
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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