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Insight Session: MSc Applied Data Science (Degree Apprenticeship)

Level 7 Digital and Technology Solutions Specialist (Integrated Degree)

Digital and technology solutions lie at the heart of modern societies and industries of the future. Multinational corporations, small to large businesses, charities and public sector organisations are using data and digital technologies to transform the products and services they offer and to optimise internal business processes to achieve strategic objectives.

The MSc Applied Data Science (Degree Apprenticeship) is a specialist master’s level (Level 7) integrated degree apprenticeship aligned to the Data Analytics Specialist specialism of the Level 7 Digital and Technology Solutions Specialist (Integrated Degree) apprenticeship standard (L7 DTSS).

During this webinar, we will provide information regarding:

  • The University of Buckingham
  • How Apprenticeships Work: Funding, Delivery, Support, Mentoring & Off the Job Training
  • The Programme Content, Delivery Model & Assessment Methods
  • Eligibility & Entry Requirements
  • The Application Process

There will also be an opportunity to ask questions, during the Q&A session.

This webinar is suitable for both Employers and Employees, who wish to utilise the Apprenticeship Levy Fund to upskill their workforce, or themselves and would like to find out more about apprenticeships and the programme.

Data Science

Data Science handles big data from capturing, storing, processing, visualising and analysing data to discover insights for strategic decision-making. These solutions can include data mining, machine learning, advanced analytics, data visualisation and in-database analytics. Data Science has applications in banking, education, finance, food and beverage, healthcare, hospitality, insurance, logistics, oil and gas, public services, retail, transport, telecom, and sales and marketing to name a few.

Please note that as this will be an interactive virtual information session, there will be an option to have video and audio on.

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