Big Data and Text Analytics

Entry requirements

A 2.2, or international equivalent, in Computer Science; Computer Engineering; Computer Networks; Computer Games; Computing; Software Engineering, Electronic Engineering; Electrical Engineering; Telecommunication Engineering; Automation; Mechatronic Engineering; Mathematics or Physics.

Graduates of Computer Science; Computer Engineering; Computer Networks; Computer Games; Computing; Software Engineering must have studied :

ONE programming module (e.g. C, C#, C++, Java, Python, Object Oriented programming, Advanced Programming).

ONE maths module (e.g.Mathematics; Calculus; Algebra; Differential Equations).

and ONE other computing related module (e.g. Database, Web development, Software engineering, Operating system, Computer architecture; Computer systems etc.).

Graduates of Electronic Engineering; Electrical Engineering; Telecommunication Engineering; Automation; Mechatronic Engineering; Mathematics; Physics must have studied:

ONE programming module (e.g. C, C#, C++, Java, Python, Object Oriented programming, Advanced Programming).

ONE maths module (e.g.Mathematics; Calculus; Algebra; Differential Equations).

and ONE other math module (e.g. Mathematics, Calculus, Algebra, Differential Equations, Probability and statistics, Signals and systems, Control theory, Control systems, Computer systems, Embedded systems, Microprocessors).

Months of entry

October

Course content

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.

We give you hands-on experience with various types of large-scale data and information handling, and start by providing you with a solid understanding of the underlying technologies, in particular cloud computing and high-performance computing. You explore areas including:

• Mobile and social application programming
• Human-computer interaction
• Computer vision
• Computer networking
• Computer security.

You also obtain practical knowledge of processing textual data on a large scale in order to turn this data into meaningful information, and have the chance to work on projects that are derived from actual industry needs proposed by our industrial partners.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

Information for international students

Entry requirements - You can find international entry requirements for most countries on our webpage www.essex.ac.uk/international. If your country is not listed, please contact Postgraduate Admissions at pgadmit@essex.ac.uk.

Pre-sessional English Language courses -
If you need to improve your English language skills before joining your main degree course, we offer pre-sessional English courses on our campuses in partnership with Kaplan International Pathways. To learn more, please visit www.essex.ac.uk/international/pre-sessional.

Funding -
You can explore scholarship opportunities for your country at www.essex.ac.uk/international or view our university-wide scholarships at www.essex.ac.uk/scholarships.

Fees and funding

There are a wide range of funding options for postgraduate study, including scholarships, bursaries and alumni discounts. You can check your eligibility at https://www.essex.ac.uk/postgraduate/masters/fees-and-funding.