Big Data Analytics 36 months Undergraduate Programme By University of Staffordshire |TopUniversities

Big Data Analytics

Programme Duration

36 monthsProgramme duration

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Programme overview

Main Subject

Computer Science and Information Systems

Degree

BSc

Study Level

Undergraduate

Data is rapidly becoming the most valuable commodity in the 21st century. Study big data analytics and become the figurehead that collects, analyses and interprets data on a large scale, giving huge companies the information they need to make accurate and profitable decisions. The degree combines a balance of practical computing and business skills integrated with academic rigour. The modern world is experiencing a growth of online data in a variety of forms, including social networks, web documents, digital libraries, blogs, medical records, biological data, remote sensing, imaging, and forecasting. Put simply, business and industry today relies solely on large sources of data, and the ability to interpret these effectively and efficiently to make decisions. A lot of this data will not be fully structured but still contains valuable information that needs discovering, such as emerging opinions in social networks, consumer purchase behaviour, trends from search engines, and patterns that emerge from such huge data sources.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

BSc

Study Level

Undergraduate

Data is rapidly becoming the most valuable commodity in the 21st century. Study big data analytics and become the figurehead that collects, analyses and interprets data on a large scale, giving huge companies the information they need to make accurate and profitable decisions. The degree combines a balance of practical computing and business skills integrated with academic rigour. The modern world is experiencing a growth of online data in a variety of forms, including social networks, web documents, digital libraries, blogs, medical records, biological data, remote sensing, imaging, and forecasting. Put simply, business and industry today relies solely on large sources of data, and the ability to interpret these effectively and efficiently to make decisions. A lot of this data will not be fully structured but still contains valuable information that needs discovering, such as emerging opinions in social networks, consumer purchase behaviour, trends from search engines, and patterns that emerge from such huge data sources.

Admission Requirements

6+
51+
+
112+
+
28+
1100+
85+

Jan-2000

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