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Aviso sobre Covid-19: Este curso começará online e posteriormente continuará no campus quando possível. Saiba mais.

O que eu aprenderei?

Our MSc Data Science and its Applications is a conversion course specifically designed for students wanting to be part of our fast-growing digital economy but do not have the sufficient programming and statistics skills. This course you will place you 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 Essex, the techniques we use to model and manipulate data guide the political, financial, and social decisions that shape our modern society and are the basis of growth of the economy and success of businesses.

The course introduces you 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 you to develop your creativity within a scientific framework.

You 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, our Department of Mathematical Sciences, is genuinely innovative and student focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. The Department of Mathematical Sciences and our 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. Our course also benefits from many Knowledge Transfer Partnerships which support students through placements and an interdisciplinary outreach culture.

Your future

With a predicted shortage of data scientists, now is the time to future-proof your career. A successful career in data science requires you to possess truly interdisciplinary knowledge and our staff ensure that you graduate with a wide-ranging, yet specialised, set of skills in this area.

Data scientists are required in every sector, carrying out statistical analysis or mining data on social media. Our graduates are highly sought after by a range of businesses and organisations and find employment in financial services, scientific computation, decision making support and government, risk assessment, statistics, education, and other areas. Our recent graduates have gone onto work as data scientists and data analysts in both the private and public sectors.

We also offer supervision for PhD, MPhil, and MSc by Dissertation.

De qual departamento farei parte?

Mathematical Sciences

Opções de estudo

Período integral (1 ano)

Valores
£19.740,00 (R$ 120.542) por ano
Fees will increase for each academic year of study.

Esta é uma taxa fixa

*O preço é estimado e tem caráter informativo, por favor, verifique esta informação com a instituição.

Prazo para inscrição

1 August 2022

Data de início

Outubro 2022, Janeiro 2023

Localização

Colchester Campus

University of Essex,

Wivenhoe Park,

Colchester,

Essex,

CO4 3SQ, England

Requisitos de admissão

Para estudantes do(s)/da Estados Unidos

The majority of our Postgraduate Taught Masters will consider applicants with GPA 2.50 from Bachelor degree.

Para estudantes internacionais

You need a 2:2 degree, or equivalent, in any discipline. IELTS overall score of 6.0 with a minimum of 5.5 in all components, TOEFL IBT 76 overall with minimum component scores: listening 17, reading 18, writing 17, and speaking 20.

Os requisitos para o IELTS podem variar de acordo com o curso que você escolher.

ADICIONAR AOS MEUS FAVORITOS

Sobre University of Essex

Na Essex os alunos aprendem a pensar de maneira diferente, encontrar novas formas de fazer as coisas e adotar novas técnicas para solucionar problemas

  • Acadêmicos renomados em um ambiente de pesquisa intensa
  • Cursos preparatórios, graduações e pós-graduações
  • Formato flexível para alunos estudarem o que importa para eles
  • Universidade internacionalmente diversa

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