Description

BSc (Hons) Graduate Apprenticeship in Data Science

It is a practical degree focusing on the mathematical and analytical skills needed to begin a career as a data scientist or analyst.

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Programme ID SP - Undergraduate

Programme ID SP - Postgraduate

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Duration

4 years

Starting Date

September

Tuition Fee

Covered by the Scottish Government

Location

Stirling, United Kingdom

About the Course

The BSc Graduate Apprenticeship in Data Science (Hons) from University of Stirling will give you an in-depth awareness and appreciation of the underlying computing and mathematical principles driving data science technologies.

What is a Graduate Apprenticeship?

It is a Scottish Government priority to increase workforce skills through graduate-level qualifications such as Graduate Apprenticeships. Skills Development Scotland has developed Graduate Apprenticeships, in partnership with industry and the education sector, to provide work-based learning opportunities and a new way into degree-level study for individuals who are currently employed, or who want to go straight into work.

Graduate Apprentices work for their employer whilst studying and developing their skills at the University of Stirling. It means that work undertaken for the employer counts towards a Graduate Apprentice’s qualification.

All tuition fees for the apprentice are funded by the Scottish Government and places are available for companies with a facility in Scotland, where the apprentice is employed at that facility and domiciled in Scotland.

The BSc (Hons) Graduate Apprenticeship in Data Science course involves attending 1 day of online classes and 4 days work with the employer on a weekly basis.

Career

Demand for workers with specialist data skills like data scientists and data engineers has more than tripled over five years (+231%), according to a labour market analysis commissioned for Dynamics of data science skills, a new Royal Society report published in May 2019.

The types of skills most frequently required by British employers include scripting languages, big data, SQL databases and machine learning.

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