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Data Science and Computational Intelligence
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Data Science and Computational Intelligence

Coventry University
Coventry, Great Britain
On campus
 1241 Points
1 Year

Program Description

This master’s course aims to respond to the demand for data scientists with the skills to develop innovative computational intelligence applications, capable of analysing large amounts of complex data to inform businesses decisions and market strategies.

Multidisciplinary content covers machine learning, neural networks, big data analysis, information retrieval, fuzzy systems and evolutionary computation. You will have opportunities to undertake practical projects, applying your learning to real-life problems in business, finance, security, industry control, engineering, natural language processing, information retrieval and bioinformatics.

Coventry University offers chances to learn alongside active researchers in areas such as pervasive computing, distributed computing and application, as well as innovative applications for interactive virtual worlds.

Entry Requirements

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Machine Learning

Data Management Systems

Introduction to Statistical Methods for Data Science

Intelligent Information Retrieval

Big Data Management and Data Visualisation

Artificial Neural Networks

Advanced Machine Learning

Individual Research Project Preparation

Global Professional Development – Consultancy

Computing Individual Research Project


This master’s course aims to provide students with the analytical tools to construct more desirable technical solutions using advanced computational methods, with an emphasis on rigorous statistical reasoning. As a result, graduates should gain the skills for roles in a wide range of sectors including:

  • finance
  • marketing
  • academia
  • scientific research
  • health and medicine
  • the retail market
  • information technology
  • government
  • ecommerce
  • energy
  • transportation
  • telecommunications
  • biotechnology
  • pharmaceutical companies

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