Description
Immerse yourself into problem solving that drives business performance. Our Data Scientist Degree Apprenticeship combines deep theoretical learning with practical application, training you to uncover the hidden stories in complex data sets. Discover solutions to challenges and become the driving force behind critical business decisions.
Guided by expert tutors, you’ll build advanced technical skills in critical areas including, programming, big data, advanced analytics, AI, machine learning and robotic process automation.
Your learning is contextualised with an emphasis on practical application from the outset. That means you’ll develop a comprehensive understanding of the strategic role of data in your organisation, with the ability to visualise and present data stories to key stakeholders within the business
Entry requirements
To be eligible you must fulfil the following criteria:
- You must working in a technology related job role
- Your current role should be UK based and you must have lived here for at least three years
- The programme must address development needs in your current role
- Your line manager must be able to support you throughout the programme
- Hold Grade 4 (C) or above in at least 5 GCSEs (or equivalent) including English and Mathematics
You will also require one of the following;
- 104 UCAS points
- Have a recognized and equivalent qualification (examinations and experience will be considered)
- Completion of a Level 3 apprenticeship/professional qualification in a relevant discipline.
What will you learn?
- Gain skills in data science techniques, such as programming, data processing and visualisation.
- Understand how to uncover patterns that provide a competitive advantage, transforming insights into compelling stories.
- Learn how to make recommendations informed by data in an ethical way that addresses bias.
- Explore innovative ways to use both new and existing tools, uncovering significant and valuable patterns in data.
How is your programme structured?
This data science degree apprenticeship will give you the professional expertise demanded by a booming industry, with the confidence to step into a highly skilled role. Whether you’re looking to become a data scientist, machine learning engineer, AI specialist, or big data analyst, you’ll have the technical foundation and practical skills to tailor your career. As businesses increasingly rely on data to fuel growth, your role will be critical in shaping data strategies and giving your organisation a competitive advantage with game-changing technical expertise.
How we support you
- You will be taught by expert tutors who have practical experience in the fields in which they teach and a passion to share that knowledge to maximise your career potential
- You will have access to a Coach who is on hand to guide you through each stage of your learning journey, providing you with clear aims and objectives. They will keep in regular contact with you and instil the confidence that you can achieve
- You will also attend webinars to develop skills in a variety of areas and prepare you for the end point assessment.
- You will have access to an Online Learning Environment with all of your qualification content, additional learning resources and all the step-by-step support you need to ensure your success
- BPP and Grant Thornton have collaborated to bring exclusive and vital content that cultivates the skills needs for the application of data analysis back in your business.
- Peer network – you will receive exclusive access to Grant Thornton peer to peer networking events that attract a diverse mix of data professionals
Commitment from you
During this programme, six hours a week will be spent on learning and developing the required Knowledge, Skills and Behaviours. This development time will include learning new relevant tasks in your role, embedding your knowledge in your role, practical workplace training, spending development time with your Line Manager, attending online or face-to-face courses and time spent writing assignments/assessments or directed self-study hours:
- Evidencing the application of your knowledge within your working day
- Independent study and research
- Shadowing colleagues and mentoring
- Technical training