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Unlock Your Potential with Data and AI Apprenticeships at the University of Sussex

In today's digital-driven world, the ability to interpret and leverage data and use AI effectively is crucial across all sectors. Recognising this, the University of Sussex offers staff the opportunity to enhance their skills through fully funded data apprenticeships in partnership with QA, a leading provider of digital and tech apprenticeships.

Why Consider a Data Apprenticeship?

The Level 3 Data Essentials and Level 4 Data Analyst apprenticeships are designed to equip staff with practical skills in data analysis, visualisation, and ethical data handling. Participants will gain proficiency in tools such as Microsoft Excel, Power BI, and SQL, enabling them to source, format, and present data effectively. These programs also cover the principles of data protection and the application of statistical methods to real-world scenarios.

Why consider an AI apprenticeship?

AI is already making the impossible feel possible, and over the past year there has been significant numbers of people and organisations moving from AI experimentation to more meaningful adoption. In the last year alone, generative AI usage jumped from 55% to 75% among employees and business leaders. AI-powered agents will do more with greater autonomy.

Benefits for Staff

• Professional Development: Enhance your knowledge and skills capabilities, making you a more valuable asset to your team and future-proof your career.
• Career Progression: Boost your CV, and open doors to new roles and responsibilities within the university by acquiring in-demand skills.
• Flexible Learning: Balance your professional duties with learning through a combination of on-the-job training and structured coursework.
• Cost-Free Education: As part of the Staff Apprenticeship Scheme, these programs are fully funded, requiring no financial contribution from participants. University of Sussex)

Advantages for Departments and the University

• Enhanced Capabilities: Departments benefit from staff who are more effective in their roles.
• Workforce Development: Investing in staff development fosters a culture of continuous improvement and adaptability.
• Strategic Alignment: Empowering staff with new skills supports the university's commitment to innovation and excellence in research and education.

Getting Started

Andrew from QA will be online to provide an informal briefing session.

QA and the University of Sussex  AI and Data  Apprenticeships 22nd July 10.30 – 11:00

For more information about the programmes and other tech and digital apprenticeships, please visit QA's webpage or email the Staff Apprenticeships team.

There are more than 600 different apprenticeships available!

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