ICTQual AB Level 3 Diploma in Data and AI-Data Technician
The ICTQual AB Level 3 Diploma in Data and AI – Data Technician provides a career-ready foundation for learners aiming to enter the field of data and AI with confidence. This Level 3 qualification builds essential competencies in data collection, workforce-ready digital tools, and introductory AI concepts, blending theoretical understanding with practical application.
Within the course, learners will acquire structured skills in gathering data accurately, applying pre-processing techniques, and utilising spreadsheet tools to manage datasets effectively. Learners are also introduced to multimedia processing and foundational digital literacy, which provide insight into how data structures underpin AI systems. This mix of classroom-led instruction and applied activities ensures learners develop clear and transferable technical abilities.
Perfect for those seeking a technical gateway into data-driven roles—or looking to upskill for apprenticeships and junior positions—this diploma offers a robust stepping stone. On completion, learners will emerge equipped to take on roles such as Data Technician, Junior Data Assistant, or AI Support Trainee, with a head start in sectors where data accuracy and digital fluency are highly valued.
Level 3 Diploma in Data and AI-Data Technician
To enrol in ICTQual AB Level 3 Diploma in Data and AI-Data Technician, learner must meet the following entry requirements:
This qualification, the ICTQual AB Level 3 Diploma in Data and AI-Data Technician, consists of 6 mandatory units.
- Fundamentals of Data Collection & Maintenance
- Spreadsheet Data Processing & Visualisation
- Database Management & Querying
- Introductory AI Concepts & Data Integration
- Data Quality Management & Validation
- Digital Tools, Security & Reflective Practice
Learning Outcomes for the Study Units:
1. Fundamentals of Data Collection & Maintenance
- Understand different methods and tools used for collecting data from various sources
- Apply appropriate techniques to record, organise, and maintain datasets accurately
- Demonstrate awareness of ethical considerations and legal requirements when handling personal or sensitive data
2. Spreadsheet Data Processing & Visualisation
- Use spreadsheet software to load, organise, and process data using functions, formulas, and filters
- Create clear and informative visualisations, such as graphs and charts, to communicate data findings
- Interpret visual data trends and present insights effectively to support decision-making
3. Database Management & Querying
- Distinguish between types of databases and explain the benefits of structured data storage
- Perform simple database queries (e.g., using SQL or query builders) to extract specific information
- Explain the importance of relational data organisation and how to maintain data consistency
4. Introductory AI Concepts & Data Integration
- Define basic artificial intelligence terms and explain how AI systems use data inputs
- Demonstrate how data can be integrated from various sources to support simple AI processes
- Recognise the capabilities and limitations of AI applications at an entry level
5. Data Quality Management & Validation
- Apply techniques to check data accuracy, consistency, completeness, and validity
- Identify common data errors (such as duplicates or anomalies) and correct them using appropriate methods
- Explain the importance of maintaining high data quality for reliable outputs and decision-making
6. Digital Tools, Security & Reflective Practice
- Utilise digital tools securely, including managing files, backups, and basic access permissions
- Understand principles of data security, privacy, and safe digital working practices
- Reflect on personal performance and learning experiences, identifying areas for improvement and development
The ICTQual AB Level 3 Diploma in Data and AI – Data Technician provides a strong technical foundation in data handling, digital tools, and basic AI concepts. Upon successful completion, learners gain both practical skills and confidence to progress academically or enter the workforce in data-driven environments.
Academic Progression Pathways
Learners can advance to:
- ICTQual AB Level 4 Diplomas in Data and AI, Data Analytics, or Software Development
- Level 4 apprenticeships in Data Technician, Data Analyst, or IT Support roles
- Specialist certifications in areas such as data visualisation, programming, or cybersecurity
Career Opportunities
This diploma supports access to entry-level and junior roles, such as:
- Data Technician
- Junior Data Analyst
- Database Assistant
- IT Support Assistant
- Digital Operations Technician
It also supports learners transitioning into roles that involve data cleaning, reporting, and quality assurance across sectors like healthcare, finance, education, logistics, and retail.
Professional Skills Development
Graduates of this course will have gained:
- Practical experience using spreadsheets, databases, and digital tools
- An understanding of AI and its application in data-driven tasks
- Strong problem-solving, data validation, and documentation skills
- A foundation for continuous professional development in digital and technical fields
