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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
6+
51+
+
112+
+
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.
Big Data Analytics
36 monthsProgram duration
Computer Science and Information SystemsMain Subject Area
Program overview
Main Subject
Computer Science and Information Systems
Degree
BSc
Study Level
Undergraduate
Program overview
Main Subject
Computer Science and Information Systems
Degree
BSc
Study Level
Undergraduate
Admission Requirements
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.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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