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Full time & Part time October MSc 1 Year Full Time / 2 Years Part Time

About the course

Our modern world is witnessing a growth of online data in a variety of forms, including web documents, blogs, social networks, digital libraries and medical records. Much of this data contains valuable information, such as emerging opinions in social networks, search trends from search engines, consumer purchase behaviour, and patterns that emerge from these huge data sources.

The sheer volume of this information means that traditional stand-alone applications are no longer suitable to process and analyse this data. Our course equips you with the knowledge to contribute to this rapidly emerging area.

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Entry Requirements

We will consider applicants with a 2:2 degree in one of the following subjects:

Computer science, Computer Engineering, Computer Networks, Computer Games, Computing, Software Engineering, with at least one other computer-related module.

OR

A 2.2 degree in:

Electronic Engineering, Electrical Engineering, IT/Information Technology, Telecommunication Engineering, Information Engineering, Automation, Mechatronic Engineering, Mathematics, Physics, with at least one Maths module and one programming module.

We accept a wide range of qualifications from applicants studying in the EU and other countries. Get in touch with any questions you may have about the qualifications we accept.


 Course Content

Visit institution website

Where will I study?

Where is University of Essex

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Department of Computer Science & Electronic Engineering, Dr Hani Hagras Department of Computer Science & Electronic Engineering, Dr Hani Hagras 01/03/2017 10:55:15
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Department of Computer Science & Electronic Engineering, Professor Simon Lucas Department of Computer Science & Electronic Engineering, Professor Simon Lucas 01/03/2017 10:55:15
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