COMPUTING: DATA ANALYTICS (FORMERLY DIGITAL IT AND COMPUTING)

LEVEL 3: SINGLE VOCATIONAL (CAMBRIDGE ADVANCED NATIONAL)
EXAMINING BOARD: OCR

This course was formerly known as Digital IT and Computing. To apply for this course please select Digital IT and Computing on your application. 

This course has been designed to meet the needs of industry. It has real depth in one area to ensure that you have the technical skills and soft skills that are important in today’s job market.

The course looks at the fundamental processing and logical storage of data in both database format for business, and of big data for those areas such as social media which harvest huge volumes of unstructured data.

If you want to find out more about how data is used, this high paying sector is one you need to study. You will develop deep skills which are in high demand in the IT sector. You will use ways to store, manipulate and understand data sets from a variety of sources.

The Internet of Everything is a huge area of data collection, of which you are a part. You will understand how businesses use this data, and what the impact of this is for the future.

If you want to know more about the digital world around you, this is the course for you!

You will study methods of analysing data, big data, and machine learning, storing and modelling data techniques.

As a minimum, you will need (or equivalent to):

  • GCSE Mathematics grade 4
  • GCSE English Language grade 4
  • plus three more GCSEs at grade 4

There are 2 exams and 3 internal assessments.

You can progress to university, a degree apprenticeship, or directly into work.

There are a wide range of career areas in data analytics which are paid well and are in high demand.

Typical jobs include data scientist, business intelligence analyst, data engineer, marketing analyst and risk analyst, amongst many others.

This qualification will support any job which requires problem solving.

 

What will this subject combine well with?

Computing: Application Development, Computer Science, Business, Psychology, any Science, Economics, Geography, Geology, or Media.

Do I need to have studied data analytics before?

No, but a desire to know more about how businesses collect and use your data is needed.