Data Science Apprenticeship
With a course developed by experienced data scientists with a wealth of experience across industry, consulting, and private equity. Our Level 6 Data Science apprenticeship focuses on training people to have practical skills, able to solve business problems. Our data science apprenticeship is aimed at people who are data-curious, or already have foundational knowledge and are looking to gain a solid understanding of data science concepts and techniques.
Skills gained with a data science apprenticeship
A qualified Level 6 Data Scientist can:
- Use Python and Pandas to program
- Communicate complex concepts in a clear and effective manner
- Manage a data science project from end-to-end
- Build predictive models using machine learning and AI
- Use basic data engineering skills
- Process unstructured data
- Understand the fundamentals of cloud computing and cloud infrastructure
Key information
- Duration
- 36 months
- Study modes
- Online teaching, coaching, and workplace development
- Qualifications Achieved
- Bachelor of Science in Data Science
Benefits of a data science apprenticeship
For employers
A data science apprenticeship will:
- Fill the digital skills gap in your business
- Enable your business to understand the strategic role of data in your organisation and its processes
- Effectively engage stakeholders by utilising data
- Offer great progression opportunities to your staff
For learners
Data science apprentices will:
- Benefit from learning how data science can be used to solve business problems
- Gain technical skills such as programming, data processing and visualisation
- Be taught by industry experienced tutors who have a proven track record
- Have a great foundational education for a career in data analytics, data science, and data engineering
- Open up your career path, potentially leading to further apprenticeships and training
Knowledge Gained
Our Level 6 Data Science apprenticeship enables learners to identify and clarify the problems that an organisation faces, reformulating these into data science problems. They can use analysis and models for projects, perform data engineering, and implement data solutions. Data science apprentices have adaptability and dynamism when responding to varied tasks, as well as an impartial, scientific, hypothesis-driven approach to work.
Programme Modules
- Data Infrastructure and Tools
- Data Visualisation and Dashboards
- Data Engineering
- Data Analytics
- Software Engineering
- Project Management
- Unstructured Data
- Machine Learning
- Big Data
- AI and Deep Learning
Assessment
Each apprenticeship course has a standard set of competencies – Knowledge, Skills, and Behaviours – that are focused on throughout the programme. The Knowledge, Skills and Behaviours are evaluated through the End-Point Assessment (EPA), which is completed in the last month of the apprenticeship. The EPA is conducted by an external assessor and will include the following elements that need to be completed to finish the apprenticeship.
- A project submitted after the gateway answering a series of critical and evaluative skills and behaviours questions based on work experience
- A professional discussion
Entry Requirements
This is set by individual employers. Your employees must be in a role relevant to this programme to be eligible to apply. Applicants will be asked to provide evidence of current English and maths qualifications during the application process.
Cost
This programme is funded through your Apprenticeship Levy. Find out more, here.
BSc Data Science Apprenticeship
This is a Level 6 data science apprenticeship. The BSc Data Science Apprenticeship Standard outlines that this course is designed to teach learners the skills needed when working in a team to find ways to improve an organisation’s processes. While working within a remote data science apprenticeship, duties include:
- Identifying and clarifying problems an organisation faces and reformulating them into Data Science problems, devising solutions and making decisions in context by seeking feedback from stakeholders.
- Performing data engineering, creating and handling datasets for analysis.
- Identifying and using an appropriate range of programming languages and tools for data manipulation.
- Using analysis and models to inform and improve organisational outcomes, building models and validating results with statistical teting.
- Implementing data solutions, using relevant software engineering architectures and design patterns.
Why choose our data science apprenticeship?
Estio is a leading provider of digital and technology apprenticeship programmes, offering a comprehensive apprenticeship course informed by industry expertise, and delivered remotely to ensure enough flexibility for your apprentice’s needs to be suited. By taking a Data Science degree apprenticeship Level 6, you could take the exciting first step in a new career.
What does a data science apprentice do?
Data science apprentices learn to obtain data from a wide range of sources, combining it to provide new insights. They will work in a full-time role whilst studying, learning to structure well-defined business problems into new projects by identifying key issues, clarifying the scope, and shaping the analysis required to deliver insights.
What is a data science apprenticeship?
Data science degree apprenticeships equip learners with practical skills to discover and devise new solutions, helping to automate and optimise business processes, supporting, augmenting and enhancing decision-making.
Job roles for data science apprentices
- Data scientist
- AI scientist
- AI developer
- ML scientist
- Data architect
- Data engineer
What our employers say
Estio developed a Data Technician programme to match our requirements for an Excel based programme. They’ve been very supportive in our growing needs and we look forward to continuing the partnership.
What our learners say
I couldn’t recommend Estio Training enough for their delightfully helpful, hands-on team, who made my journey in finding my next career venture feel like such a completely stress-free and pleasant experience.
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