Data Scientist Apprenticeship BSc (Hons)

There is increasing demand for artificial intelligence and data science skills within the UK economy, yet these skills are currently in short supply.

Our Data Scientist Degree Apprenticeships are designed to create effective specialist programmers who have the necessary multidisciplinary and technical know-how to work within the industry.

Apprentices learn how to find information in diverse datasets to address complex problems and improve organisational processes. They also develop skills in sourcing, accessing and manipulating data, as well as using the insights they have gathered to inform and achieve organisational goals.

Study style

Teaching is delivered over three years, with completion resulting in learners achieving a BSc (Hons) in Data Science. The programme is usually delivered through block learning, so apprentices attend university for set weeks timetabled throughout the year. The rest of the time they are in the workplace, putting their new know ledge into practice. Where we have large groups of learners all employed by the same organisation, we are able to tailor the delivery of taught elements to suit employer and learner needs.

This programme underpins vocational skills with academic theory. Subject related knowledge and understanding is developed through lectures, tutorials, laboratory sessions and guided independent study.

Assessment

Assessment is designed to help learners develop both technical and analytical skills, and to communicate effectively through written reports and presentations. Working both individually and as part of a team, learners are required to solve a variety of data science, computer programming and machine- learning problems. There are no formal exams because these do not replicate real world working environments in the data science industry.

An integrated End Point Assessment requires learners to reflect upon and evaluate their learning through the previous modules and assignments, as well as in the workplace. The End Point Assessment consists of three elements – a knowledge test, a report about a work-based project and a professional discussion that is informed by a portfolio of learning.