Key Facts
Qualification purpose
Updating and continuing professional development (CPD)
Qualification Grading Type
Pass
Assessment Methods
Why choose this qualification?
This is a restricted qualification and is not available for general use.
Rules of Combination
In today’s data-driven world, the ability to extract insights, make predictions, and communicate findings effectively is more valuable than ever. The Level 4 Diploma in Data Analytics with AI is designed to equip learners with the technical expertise, analytical mindset, and ethical awareness required to thrive in the rapidly evolving fields of data science and artificial intelligence.
This qualification offers a robust foundation in core data analytics principles while integrating cutting-edge AI techniques. Whether you're aiming to launch a career in data, upskill in your current role, or prepare for further study, this diploma provides the tools and confidence to succeed
The Level 4 Diploma in Data Analytics with Artificial Intelligence content has been developed in partnership with Code Institute.
Units
Learners must achieve all 3 mandatory units.
Advanced data analytics, visualisation and machine learning
Data analytics and Python for data preparation
Ethical practice and communication in data
What is the purpose of this qualification?
The Level 4 Diploma in Data Analytics with Artificial Intelligence has been developed for learners who would like to develop a career in data analytics. It assumes no prior knowledge of statistics, analytics, or programming. The diploma provides a comprehensive pathway into the field, preparing learners for full-time roles as data analysts or for progression to higher study.
Learners will work through the full analytics lifecycle, including data collection, cleaning, transformation, analysis, visualisation, and communication of insights. This hands-on qualification will provide learners with experience with industry-standard programming languages and tools such as Python, SQL, Jupyter Notebooks, and business intelligence platforms. The diploma also introduces machine learning techniques, feature engineering, and applied projects that reflect real business challenges.
Learners in employment can apply skills directly to their workplace data challenges, creating measurable business impact through improved efficiency, higher quality reporting, and enhanced decision-making and day-to-day productivity. Unemployed learners, reskilling, or seeking their first role, build portfolios using curated datasets and simulated projects that demonstrate readiness for entry-level data analytics positions across sectors.
Learners are trained to use AI responsibly and evaluate its outputs critically to ensure accuracy and compliance. Generative AI is integrated as an assistive capability, supporting learners with tasks such as coding support, exploratory analysis, documentation, data storytelling, and ethical risk checks.
By successfully achieving this qualification, learners can gain the opportunity to establish themselves as full-time data analysts with strong foundations in programming, analytics, and applied AI.
This qualification will is mapped directly to the knowledge, skills and behaviours (KSBs) of the Level 4 Data Analyst apprenticeship standard on the IfATE website.
What skills, knowledge, or understanding does this qualification develop?
The aims and objectives of the qualification are to:
• Equip learners with a broad foundational knowledge of data analytics, including core statistical principles, data processing techniques, and AI integration.
• Enable learners to develop practical skills in data manipulation, visualisation, and interpretation using industry-standard tools such as Python, Jupyter Notebooks, and Business intelligence tools.
• Foster an understanding of ethical and legal responsibilities in data handling, including data privacy, governance, and bias mitigation.
• Prepare learners for real-world challenges through a project-based learning approach that emphasises structured problem-solving, critical thinking, and effective communication of insights.
• Support learners’ career progression into entry-level data roles or further education in data science and AI-related disciplines.
Progression & entry requirements
There are no mandatory prior qualifications required for this diploma. It is designed to allow learners to progress from little or no prior knowledge of data analytics, statistics, or programming. Learners studying this qualification should be proficient at least to Level 2 in English and Maths. It is recommended that learners have a working knowledge of spreadsheets, including tasks such as sorting, use of formulas, creating simple charts, and basic file management. Learners may be in employment, seeking work, or reskilling for a new role. For those in work, skills can be applied directly to workplace projects and reporting. For those who are unemployed or reskilling, the diploma can be completed using curated datasets and industry scenarios to build a portfolio that supports employability. This qualification will be assessed in English. All learners' work must be in English. British Sign Language can be used where it is permitted for the purpose of a reasonable adjustment. Centres must ensure that learners have the correct information and advice when selecting qualifications to ensure that the qualification will meet their needs. Centres must ensure that this qualification suits the age and abilities of their learners by ensuring that learners can meet the relevant literacy, numeracy, digital, and health and safety requirements of the qualification. Learners enrolled on this qualification should not undertake another qualification at the same level with a similar title orOn completion of this qualification learners will be equipped with the knowledge, skills and understanding related to Data Analytics with Artificial Intelligence. Successful completion of the Level 4 Diploma in Data Analytics with Artificial Intelligence will allow learners to progress onto: • Entry-level employment in data analytics and AI roles • Other Level 4 and 5 qualifcations in Data Analysis/Analyst • Level 4 Data Analyst apprenticeship • Level 4 Business Analysis apprenticeshipFunding information
There are now two main sources for funding information, a straightforward ESFA Qualification Search and the more detailed Find a Learning Aim website.
The new Find a learning aim (FALA) service provides a search tool that you can use to check the funding status of any qualification, framework, unit, standard or T Level:
View this qualification on the ESFA’s Find a learning aim website
The Education and Skills Funding Agency search provides funding information on qualifications. It does not provide funding information for units, non-regulated activity and work placements, for this information please use Find a learning aim (FALA).
View this qualification on the ESFA Qualification Funding Search
How to find a learning aim
If you’re not sure how to use the new find a learning aim website, we’ve created a handy walkthrough to help you:
How to Use: Find a learning Aim
We have done our best to collate and summarise the key information, and wherever possible we alert our providers to changes in funding policy.
This funding information is provided in good faith and it is always advisable to check directly with the funding agencies before committing to delivery.