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University of Essex

Colchester, England, United Kingdom
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Applied Data Science at University of Essex at Colchester

The MSc Applied Data Science is a conversion course specifically designed for students with a background in humanities, social sciences, life sciences and business studies who want to be part of the University of Essex's fast-growing digital economy. The course will build upon the students' undergraduate degree in the humanities, social or life sciences, giving them postgraduate-level skills in essential data science methods with various applications, covering case studies and applications of AI and data using a balance of methods and practical application.

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 visualisations and guides students to develop their creativity within a scientific framework.

Students cover topics such as:

  • Using R for statistical modelling and decision making
  • Linear and generalised linear models are used for experimental and observational data
  • Artificial intelligence
  • Deep and statistical learning
  • Applied statistics
  • Information retrieval
  • Digital economy
  • Survey sampling

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 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 their students’ needs and aspirations. The MSc Applied Data Science 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 University of Essex's active links with industry can broaden their employment potential and offer placement opportunities.
 

Level Masters
Discipline Sciences
Duration 12 months
Intakes Oct, Jan
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 --
Times Higher Education --
ARWU 483
Webometrics --
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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