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Heriot Watt University

Edinburgh, Scotland, United Kingdom
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Computational Data Science at Heriot Watt University at Edinburgh

The MSc Computational Data Science harnesses Heriot-Watt’s world-leading expertise in the statistical foundations of data science and associated computational techniques, with applications to imaging and vision, ecology and climate, and stochastic modelling. This MSc programme will teach students the statistical foundations and computational techniques in data science. It will provide students with a unique set of skills to address data science challenges, for applications ranging from imaging and vision (pathway 1), to ecology and climate (pathway 2), or stochastic modelling (pathway 3).

Reasons to study MSc Computational Data Science:

  1. Data scientists, data engineers, and business analysts are among the most sought-after careers and Edinburgh is intended to be the ‘Data Capital of Europe'.
  2. Students will acquire unique interdisciplinary knowledge at the interface between the statistical foundations of data science and associated computational techniques.
  3. Students will be exposed to specialised applications, ranging from imaging and vision, to ecology and climate, or stochastic modelling.
  4. This MSc is run by international leaders in their field.
Level Masters
Discipline Computer Science and IT
Duration 12 months
Intakes Sep
Application Fees GBP 0
Tuition Fees GBP 22264
Campus Edinburgh
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Admission Requirements
Language proficiency (minimum)
IELTS 6.5
TOEFL 85
PTE 68
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 - 73.0%

Rankings
QS Ranking 256
Times Higher Education 351-400
ARWU 801-900
Webometrics 513
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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