Big Data Analytics focuses on analysing large, complex data sets using advanced tools.
Big data analytics deals with the processing of data sets that are too large or too complex for traditional forms of data analysis. Data that has a larger amount of fields, and therefore more information, offers an increased level of statistical power. However, this is only the case if the data can be analysed correctly and managed properly. A big data analyst will be armed with the knowledge and skills to use more advanced data analysis processes and software programmes to ensure that the outcomes of the data analysis are accurate and useful.
When studying for a degree in Big Data Analytics, you will cover a range of topics within the subject area, from basic computer science to the more complex data analysis techniques. Some examples of modules you might study include:
During a masters in Big Data Analytics, you will build on the knowledge gained at undergraduate level, taking your skills to an advanced level. Some examples of modules you could study are:
Professional Certificate of Competency in Big Data and Analytics in Electricity Grids Professional Certificate
Engineering Institute of Technology Australia
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Statistical Data Analytics, Computing Sciences and Electrical Engineering MSc
Tampere University Finland
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Sustainable Financial Management with Data Analytics MSc
TBS Education in Barcelona Spain
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Applied Mathematics / Data Science BSc
Inholland University of Applied Sciences Netherlands
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Web Science and Big Data Analytics MSc, MRes
University College London (UCL) United Kingdom
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