Digital and Technology Solutions Specialist (Data Analytics) Degree Apprenticeship MSc

Overview

Develop and apply specialist data science tools and techniques to process large, complex datasets in order to extract and derive valuable insights to inform decision making within your organisation. Gain an MSc Digital and Technology Solutions (Data Analytics) degree while you work, with fees funded by your employer and the Government.

Data science, coupled with artificial intelligence, promises to provide the tools for enhanced technologies, business models and decision making across many fields, from industrial automation, manufacturing, transport, banking and cyber security to health and social care.

This cutting-edge course is taught as a blend of immersive teaching weeks, online study and a hackathon-style bootcamp which simulate real-world environments.

Assessment

Assessment will be via a variety of methods including time constrained assessments, coursework assignments and project.

End Point Assessment (EPA)
This apprenticeship features an ‘integrated’ End Point Assessment. It gives you the opportunity to demonstrate that you have attained the skills, knowledge and behaviours set out on the standard.

There are two parts to the end-point assessment:

• project report
• a professional discussion.

Careers

There is a recognised significant skills gap in data science-based systems specialists in the industry, nationally and internationally. This is despite data scientist roles growing over 650% since 2012, with machine learning engineers, data scientists, and big data engineers ranking among the top emerging jobs.

Employers have highlighted the importance of data science and its potential to revolutionise several industries, from social sciences, physics and engineering to market analysis and banking, while creating significant employment opportunities for data analysts, machine learning specialists and data specialists.

Typical job roles include big data analyst, data and insight analyst, data science specialist, data management specialist and analytics lead.