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University of Essex

Colchester, England, United Kingdom
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Data Science and its Applications at University of Essex at Colchester

The University of Essex MSc Data Science and its Applications is a conversion course specifically designed for students wanting to be part of their fast-growing digital economy but do not have the sufficient programming and statistics skills. This course will place students at the core of data science with the application of theory and methods to real-world problems, specifically to use and exploit big data.
At the University of Essex, the techniques they use to model and manipulate data guide the political, financial and social decisions that shape modern society and are the basis of growth of the economy and success of businesses.

The course introduces students to programming with the R language and as well as text analytics. Relational databases and SQL are developed and used for relevant applications from humanities, life sciences, linguistics, marketing and social science. The course encourages statistical thinking by data visualizations and guides students to develop their creativity within a scientific framework.

Students will cover topics such as:

Modelling experimental data
Machine learning and decision making
Applied statistics
Combinatorial optimisation
Statistical methods
Stochastic processes
The leading department on this course, the Department of Mathematical Sciences, is genuinely innovative and student-focused. The research groups are working on a broad range of collaborative areas tackling real-world issues. The Department of Mathematical Sciences and the School of Computer Science and Electronic Engineering are working together with other departments across the University Of Essex to deliver optional modules and summer projects with Essex Business School, the Department of Language and Linguistics, the School of Life Sciences, the School of Philosophy and Art History, and the Department of Psychology. The course also benefits from many Knowledge Transfer Partnerships which support students through placements and an interdisciplinary outreach culture.

The University of Essex is committed to transformational education and inclusion, focused on learning opportunities for every student, responsive to the students’ needs and aspirations. The MSc Data Science and its Applications course reflects this by supporting every student, from every background, and removing the barriers to their education.

This course is developed in collaboration with industry partners and public sector organisations, which include BT, Profusion, Essex County Council, Essex Police, and Suffolk County Council. The active links with industry can broaden students' employment potential and offer placement opportunities.

Level Masters
Discipline Computer Science and IT
Duration 12 months
Intakes Jan, Sep
Application Fees GBP 0
Tuition Fees GBP 20700
Campus Colchester
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Admission Requirements
Language proficiency (minimum)
IELTS 6
TOEFL 76
PTE 50
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 472
Times Higher Education 301-350
ARWU 501-600
Webometrics 447
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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