The demand for skilled data professionals is rapidly growing as organizations across industries embrace digital transformation and data-driven decision-making. The QualCert Level 3 Diploma in Data and AI – Data Technician is designed to equip aspiring professionals with the practical skills and theoretical knowledge required to thrive in today’s data-centric roles.
This internationally benchmarked qualification provides a solid foundation for individuals who are aiming to start or progress in a data technician role. It focuses on essential areas such as data handling, AI fundamentals, analytics, compliance, and workplace communication.
The Level 3 Diploma targets individuals who have a strong interest in data and technology but may not yet have extensive experience in the field. It is ideal for school leavers, career switchers, or early-career professionals looking to build a technical skillset that aligns with modern industry needs.
The qualification is mapped to international education standards and frameworks, ensuring its relevance across multiple markets and job roles. With a strong emphasis on practical outcomes, learners engage in real-world scenarios, case studies, and project-based tasks that simulate workplace challenges.
The QualCert Level 3 Diploma in Data and AI – Data Technician is delivered through approved centres and training providers, offering flexible study options to accommodate full-time, part-time, and blended learning formats. Learners benefit from guided learning hours, tutor support, and access to digital learning resources. Assessment is conducted through assignments, practical demonstrations, and workplace-based evidence, ensuring that learners are evaluated in ways that reflect real job expectations.
Completing the Level 3 Diploma opens doors to further professional and academic opportunities. Graduates may choose to advance to a Level 4 qualification in data analytics, IT, or artificial intelligence, or pursue certifications in specialist tools and platforms such as Python, SQL, or Power BI.
QualCert is a globally recognized awarding body committed to delivering qualifications that meet industry demands and professional standards. With a focus on employability, quality assurance, and flexible learning, QualCert ensures that learners are well-prepared to enter the workforce or pursue further training with confidence.
Course Contents of QualCert Level 3 Diploma in Data and AI – Data Technician:
The QualCert Level 3 Diploma in Data and AI – Data Technician, offers 60 Credits, requiring a Total Qualification Time (TQT) of 300 hours, including 210 Guided Learning Hours (GLH).
| Unit Ref# | Unit Title | Credit | GLH | TQT |
| QC20002-1 | Principles of Data Handling and Database Systems | 10 | 35 | 50 |
| QC20002-2 | Data Collection, Validation, and Cleaning Techniques | 10 | 35 | 50 |
| QC20002-3 | Introduction to Data Analytics and Visualization Tools | 10 | 35 | 50 |
| QC20002-4 | Fundamentals of AI and Machine Learning for Technicians | 10 | 35 | 50 |
| QC20002-5 | Data Governance, Compliance, and Cybersecurity in Practice | 10 | 35 | 50 |
| QC20002-6 | Communication, Collaboration, and Reporting in Data-Driven Environments | 10 | 35 | 50 |
Entry Requirements for the QualCert Level 3 Diploma in Data and AI – Data Technician:
To enroll in the QualCert Level 3 Diploma in Data and AI – Data Technician, following are requirement:
Minimum Age:
- Learners must be at least 16 years old at the time of enrolment.
Educational Background:
- A minimum of Level 2 qualification (or equivalent) in a relevant subject such as ICT, Mathematics, or Science is recommended.
- Learners without formal qualifications may be considered if they can demonstrate sufficient knowledge and commitment to the subject.
Experience:
- No prior work experience in data or AI is required.
- However, basic computer literacy and familiarity with digital tools are essential.
Language Proficiency:
- Learners must have a good command of English, both written and spoken.
- For non-native English speakers, a minimum CEFR Level B2 (or equivalent, such as IELTS 5.5) is recommended to ensure learners can understand course materials and participate effectively in discussions and assessments.
These entry requirements are designed to ensure that learners have the foundational skills necessary to engage with the course content and succeed in a data technician role upon completion.
Learning Outcomes of QualCert Level 3 Diploma in Data and AI – Data Technician:
Principles of Data Handling and Database Systems
- Understand the different types of data and data structures
- Explain the key components and functions of database systems
- Apply basic SQL commands for data manipulation and retrieval
- Demonstrate knowledge of data storage, retrieval, and backup methods
- Identify the role of data technicians in managing databases
Data Collection, Validation, and Cleaning Techniques
- Identify various data collection methods and their appropriate use cases
- Apply data validation rules to ensure data accuracy and consistency
- Use tools and techniques to clean and preprocess raw data
- Recognize and correct common data quality issues
- Maintain data integrity throughout the collection and preparation process
Introduction to Data Analytics and Visualization Tools
- Explain core concepts of data analytics and its business value
- Use spreadsheet and visualization tools such as Excel, Power BI, or Tableau
- Perform basic descriptive analysis on datasets
- Create and interpret charts, graphs, and dashboards
- Communicate insights from data through visual representation
Fundamentals of AI and Machine Learning for Technicians
- Understand key terms and concepts in AI and machine learning
- Distinguish between supervised and unsupervised learning models
- Recognize ethical considerations in AI development and deployment
- Identify technician-level tasks in AI project workflows
- Use entry-level tools to interact with basic AI or ML models
Data Governance, Compliance, and Cybersecurity in Practice
- Explain the importance of data governance in an organizational context
- Understand key data protection regulations such as GDPR
- Apply data security best practices in technical environments
- Identify risks and threats to data systems
- Support compliance and ethical handling of sensitive data
Communication, Collaboration, and Reporting in Data-Driven Environments
- Communicate technical information to both technical and non-technical audiences
- Use professional formats to present data reports and summaries
- Collaborate effectively with cross-functional teams
- Demonstrate the use of digital tools for workplace communication
- Follow organizational standards for documentation and reporting
The QualCert Level 3 Diploma in Data and AI – Data Technician, is ideal for:
- School leavers or college graduates looking to enter the data and AI field with a job-ready qualification
- Career changers aiming to transition into the tech industry with a focus on data-related roles
- Junior IT professionals or administrative staff who wish to develop data skills for career advancement
- Apprentices or interns in data-focused roles who need formal training to support their on-the-job learning
- Individuals with a passion for technology and problem-solving who want to explore opportunities in data analytics, AI, and information management
Whether you are beginning your career or looking to upskill, this course provides a strong foundation for working in today’s data-driven environments.