The BSc Applied Data, Statistical and Economic Analysis degree apprenticeship aims to equip graduates with the necessary skills and knowledge to understand, apply, and critically evaluate Data Science, Statistics and Economic principles through real-world application. Graduates will be equipped with the skills to apply statistical and data science methods and use industry-standard platforms, tools, and techniques to implement within their workplaces. Apprentices will study one day per week during the academic teaching period, with the remaining four days in employment.

Apprentices study one day per week at the University's Llandaff campus for 24 weeks of the year. Teaching methods include practical workshops, case studies, and project-based learning. A Degree Apprenticeship Mentor based within the School of Technologies meets with apprentices and employers bi-monthly. The remaining four days per week are spent in relevant full-time employment applying learning to the workplace. A three-way learning plan is agreed between employer, apprentice and University detailing on-the-job training and professional competencies.

Learning is supported by the University's virtual learning environment Moodle. Apprentices are expected to demonstrate professional competencies and behaviour within the workplace, with competencies assessed by employers during three-way progress meetings.

Apprentices gain a Higher Education qualification (BSc Honours) while earning a full-time salary in relevant employment. The programme minimizes opportunity costs for employers by delivering the award within the same period as a standard full-time student.