Big Data Analytics (with a foundation year) 48 months Undergraduate Program By Staffordshire University |Top Universities

Big Data Analytics (with a foundation year)

Program Duration

48 monthsProgram duration

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Program 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.

Program 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

Undergraduate

6+
51+
+
48+
+
28+
1100+
85+
Jan-2000

Tuition fee and scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

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