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University of Hertfordshire

Hertfordshire, England, United Kingdom
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Data Science with Placement at University of Hertfordshire at Main

Data is the currency of all but the most theoretically-based scientific research, and it also underpins the modern world, from the flow of data across international banking networks and the spread of memes across social networks, to the complex models of weather forecasting. The constant generation of data from the digital society feeds into everyday lives, affecting how people receive healthcare to influencing their shopping habits. In order to handle, make sense of, and exploit large volumes of available data requires highly skilled human insight, analysis and visualization.

The professionals working in this field are called ‘data scientists’, who blend advanced mathematical and statistical skills with programming, database design, machine learning, modelling, simulation and innovative data visualisation. These professionals are in high demand in both public and private sectors in the UK and worldwide.

This MSc Data Science programme aims and learning outcomes are built around two guiding principles:

  • To provide comprehensive understanding of the fundamental mathematical and statistical concepts underlying data science, and how they are implemented in algorithms and machine learning techniques to solve a variety of data processing and analysis problems.
  • To provide training in the practical skills relevant to data science, central of which is the ability to write clean and efficient code in industry-recognised languages (in particular, Python and R), but also includes data handling, manipulation, mining and visualisation techniques.

Students on this Master's course will benefit from the expertise of astrophysicists, physicists, mathematicians and computer scientists with international research profiles. Their day-to-day research involves application of, and in some cases the development of new, data science skills, from fundamental statistical analyses, the use of distributed high-performance computing, and research into novel artificial intelligence algorithms. 

Learners have an option to take a one-year paid industry placement in a highly professional and stimulating environment. Previous students have had placements with organizations including NatWest, Sparta Global and Sky. They can also benefit from the University's strong links with the computing industry and employers such as Microsoft and Hewlett Packard. There are a wide range of research-focused seminars to excite and spark students' intellectual curiosity. 

Upon completion of the MSc Data Science with Placement Year programme, graduates will be able to demonstrate an understanding of a wide range of theoretical and practical skills enabling them to enter a variety of disciplines and industries.

Level Masters
Discipline Computer Science and IT
Duration 12 months
Intakes Jan, Sep
Application Fees GBP 0
Tuition Fees GBP 17950
Campus Main
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Admission Requirements
Language proficiency (minimum)
IELTS 6.5
TOEFL 79
PTE 58
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 - 70.0%

Rankings
QS Ranking 851-900
Times Higher Education 601-800
ARWU 901-1000
Webometrics 677
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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