Big Data Analytics Courses

More commonly offered as a postgraduate degree, big data analytics refers to the analysis of large and diverse data sets. These sets of data cannot be analysed using traditional techniques, as they are too high in volume, too high in velocity, or too high in variety. The process of bid data analysis allows businesses to make better and bigger data driven decisions.

Ready to find Big Data Analytics courses? Pick your desired level below:

About Big Data Analytics

Accreditation

As the big data analytics discipline is normally offered as a postgraduate course, it is more likely that you will be awarded a postgraduate taught or research degree. If you do study an undergraduate level of degree, you will be awarded a Bachelor of Science (BSc). At postgraduate level, you will be awarded a Master of Science (MSc). Further study will award you a research degree, such as an MPhil or PhD.

Duration

Generally, an undergraduate degree will take three to four years to complete, depending on where you choose to study. A postgraduate degree will normally take one to two years to complete.

Your institution may offer part-time study options, which usually means that your degree will take four to six years. You may also be able to take a foundation programme, which is useful if you do not meet the entry requirements for your degree.

Fees

Annual tuition fees for UK students are capped by the UK government. For the 2019/20 academic year, they are £9,250. This is subject to change each year, and will be updated on your institution website.

Postgraduate course annual tuition fees are set by the institution, which means that they can differ. Postgraduate programmes are generally less expensive than undergraduate programmes. You will find detailed fee information on the institution webpage.

The fees displayed below are an example of typical annual tuition fees for undergraduate and postgraduate big data analytics degrees. Actual tuition fees can be found on the institution webpages.

Typical Annual Tuition Fees

  • Undergraduate - £9,250
  • Postgraduate - £7,000

Topics Covered

Undergraduate

It is more typical to find big data analytics as a specialisation at undergraduate level. This means that it will probably be included as a module on a more generic and rounded degree, such as data science. You will cover the basics of the subject area, including data science fundamentals and the more rudimentary big data analytics skills.

Postgraduate

During a postgraduate degree, such as an MSc, you will build on the skills and knowledge gained at undergraduate level. You will study big data analytics to a more in-depth level, exploring the complex and specialist areas of the subject. Modules and specialisms might include machine learning, data visualisation, statistical inference, and big databases. Assessment methods could include written work, data based projects, and a final major research project.

Entry Requirements

The entry requirements for a postgraduate degree in big data analytics will depend on where you choose to study. As you will most likely be studying for a postgraduate degree, you will be expected to have an undergraduate degree, or an accepted equivalent. Due to the nature of the degree, institutions will likely require that you have an undergraduate degree in data science, or a closely related subject. It may also be preferred that you have some experience with programmes such as C++, Java, and Python.

Typical Entry Requirements

Postgraduate

  • Degree Requirements - 2:2 or higher
  • Required/Desired Subjects - Data Science, Computing, Engineering

Career Prospects

Graduates of a big data analytics degree will find that there are many career opportunities available to them. The wide range of transferable skills gained throughout your degree will be applicable in a variety of roles. Big data analysis is a process that is applicable in different industries. If you choose to work in a role directly related to your degree, jobs could include data scientist, forensic analyst, and big data architect.