Taught course

Big Data and Text Analytics

Institution
University of Essex · School of Computer Science and Electronic Engineering
Qualifications
MSc

Entry requirements

2.2 honours degree or equivalent in computer science, electronics or a related discipline.

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, medical records, biological data and so on. Much of this data is not fully structured but contains valuable information to uncover, like emerging opinions in social networks, search trends from search engines, consumer purchase behaviour, and patterns that emerge from these huge data sources. These developments mean traditional stand-alone applications are no longer suitable to process and analyse the amount of information available. Indeed, Googles move from a large-scale indexed database to what is called The Knowledge Graph reflects the trend to automatically analyse data on a larger scale than before.

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

A wide range of additional modules allow you to focus on aspects of big data and text analytics that most interest you, including mobile and social application programming, human-computer interaction, computer vision, computer networking and computer security, plus other areas. We prepare our graduates to enter a range of employment roles related to the wider area of information management and large-scale computing.

Our School of Computer Science and Electronic Engineering has an international reputation for outstanding teaching and research, in the most recent Research Assessment Exercise (RAE, December 2008) 95 per cent of our computer science research was rated of internationally recognised quality, with 15 per cent rated as 'world-learning'.

We are one of the largest and best resourced schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment. Our research covers a range of topics, from materials science and semiconductor device physics, to the theory of computation and the philosophy of computer science, with most of our research groups based around laboratories offering world-class facilities. Our impressive external research funding stands at over £4 million and we participate in a number of EU initiatives and undertake projects under contract to many outside bodies, including government and industrial organisations.

Information for international students

IELTS 6.0.

Fees and funding

We offer many funding opportunities to support talented postgraduates, ranging from research council studentships and University scholarships to awards funded by charities and other external organisations. For more information, visit our website at: www.essex.ac.uk.

Qualification and course duration

MSc

part time
24 months
full time
12 months

Assessment

AssessmentWhat kind of work will I be doing? (proportionally)
Written/ formal examinations56
Written coursework / continuous assessment6
Dissertation30 (10000 words)
laboratory assignments8

Course contact details

Name
Graduate Administrator
Email
pgadmit@essex.ac.uk
Phone
+44 (0)1206 872719