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Webinar: Graduate Apprenticeships as a route upskilling in data science

June 19 @ 11:30 am - 12:15 pm

Apprenticeships aren’t just for school leavers – they can help workers upskill into new roles whilst gaining a qualification.

In the changing world of work there is an increasing requirement for both employers and individuals to access upskilling and retraining opportunities in a range of areas, one of the most prevalent being data science and AI.

One possible route to upskilling in data science is through a Graduate Apprenticeship – a structured programme used to advance and develop new and existing skills in the workplace, whilst working towards gaining a university qualification.

In this webinar you will hear about the Graduate Apprenticeships programme at Edinburgh Napier University. The programme is responsive to industry sector needs, offering employers of any size the opportunity to provide fully-funded degree level training to new and existing staff. They are designed by industry, have no maximum age limit and help employers bridge skills gaps, retain top talent and improve productivity through work-integrated learning.

You will hear from a current Graduate Apprentice who is currently studying towards a BSc (Hons) Data Science at Napier while working full time at Registers of Scotland. Topics discussed will include her experience so far, successes, challenges and the role of the university and employer in her professional development. You’ll also hear from her workplace mentor on how they provide support, as well as the university on general information and how to register your interest.

Data skills for work

This webinar series, organised by the Data Skills for Work project at The Data Lab, aims to introduce a range of upskilling and retraining opportunities for employers planning to upskill and retain existing employees, and also for individuals who may be considering a change in career direction or just looking to broaden their horizons.

The link to the webinar will be emailed to you 50 minutes before the beginning of the event. Registration is open until 1 hour before the event.