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We provide content, assessment and digital services to learners, educational institutions, employers, governments and other partners globally. We are committed to helping equip learners with the skills they need to enhance their employability prospects and to succeed in the changing world of work. We believe that wherever learning flourishes so do people.  \nThis specification is Version 1.1  \nReferences to third-party material made in this specification are made in good faith. Pearson does not endorse, approve or accept responsibility for the content of materials, which may be subject to change, or any opinions expressed therein.(Material may include textbooks, journals, magazines and other publications and websites.)  \nAll information in this specification is correct at time of publication.  \nPublication code VQ000476  \nAll the material in this publication is copyright  \n© Copyright in this specification belongs to, and is used under licence from, the Institute for Apprenticeships and Technical Education 2026  \nContents  \n1 Introducing the qualification 1  \nT Level programme 1  \nUnderstanding the Specification and Administrative Guide 1  \nWhat is the Technical Qualification (TQ)? 1  \nTechnical Qualification and Outline Content 2  \nEnglish, maths and digital competencies 2  \nEmployer and Provider panels 2  \nQualification purpose 3  \nStudent profile and progression 3  \n2 Qualification summary and structure 4  \nSummary 4  \nAssessment Structure 6  \n1. Core component 6  \n2. Occupational Specialism component 6  \nWhat does the qualification cover? 7  \n3 Core Component 8  \nContent 9  \nCore paper 1 9  \nCore paper 2 25  \nEmployer Set Project 47  \nScheme of Assessment – Core Component 51  \nCore examination 51  \nCore Examination Assessment Objectives 53  \nEmployer Set Project 54  \nEmployer Set Project Assessment Objectives 55  \nResources for the delivery of the Core component content 56  \n4 Occupational Specialism 57  \nData Analytics Technician 57  \nContent area 1: Source, organise and format data securely in a relevant way for analysis 57  \nContent area 2: Blend data from multiple sources 69  \nContent area 3: Analyse structured and unstructured data to support business outcomes 74  \nContent area 4: Interpret data and communicate a result appropriate to the audience 78  \nContent area 5: Can apply legal, ethical and professional principles when manipulating data 82  \nContent area 6: Discover, evaluate and apply reliable sources of knowledge 88  \nScheme of Assessment 92  \nResources for the delivery of Occupational Specialism: Data Analytics Technician 94  \n5 Technical Qualification grading, T Level grading and  \nresults transfer 95  \nHow the Technical Qualification is graded and awarded 95  \nCalculation of the Technical Qualification grade 95  \nAwarding the components 95  \nUniform Mark Scale 95  \nCalculation of the T Level grade 96  \nResults transfer to Providers 97  \nTechnical Qualification result days 97  \nT Level results reporting 97  \nAppendix 1: General Competency Frameworks for T Levels 98  \nGeneral English competencies 98  \nGeneral maths competencies 99  \nGeneral digital competencies 99  \nCommand word taxonomy list 100  \nAppendix 2: Diagrams 101  \nInformation flow diagrams 101  \nData flow diagrams 101  \nFlowchart symbols 102  \nEntity relationship diagrams 103  \n1 Introducing the qualification  \nT Level programme  \n\n| T Levels are two-year, Level 3 study programmes that follow the study of GCSEsand Technical Awards and offer an alternative to A Levels and Apprenticeships. T Levels combine classroom theory, practical learning and a minimum 315 hours of industry placement with an employer. The work placement ensures","cbCaiaT1Zv9EbEj2","https://ap.wps.com/l/cbCaiaT1Zv9EbEj2","pdf",1575643,112,"English","# 1 Introducing the qualification\n## T Level programme\n## Understanding the Specification and Administrative Guide\n## What is the Technical Qualification (TQ)?\n## Technical Qualification and Outline Content\n## English, maths and digital competencies\n## Employer and Provider panels\n## Qualification purpose\n## Student profile and progression\n# 2 Qualification summary and structure\n## Summary\n## Assessment Structure\n## Core component\n## Occupational Specialism component\n## What does the qualification cover?\n# 3 Core Component\n## Content\n## Core paper 1\n## Core paper 2\n## Employer Set Project\n## Scheme of Assessment – Core Component\n## Core examination\n## Resources for the delivery of the Core component content\n# 4 Occupational Specialism\n## Data Analytics Technician\n## Content area 1: Source, organise and format data securely\n## Content area 2: Blend data from multiple sources\n## Content area 3: Analyse structured and unstructured data\n## Content area 4: Interpret data and communicate a result\n## Content area 5: Apply legal, ethical and professional principles\n## Content area 6: Discover, evaluate and apply reliable sources of knowledge\n## Scheme of Assessment\n## Resources for the delivery of Occupational Specialism\n# 5 Technical Qualification grading, T Level grading and results transfer\n## How the Technical Qualification is graded and awarded\n## Calculation of the Technical Qualification grade\n## Awarding the components\n## Uniform Mark Scale\n## Calculation of the T Level grade\n## Results transfer to Providers\n## Technical Qualification result days\n## T Level results reporting\n# Appendix\n## Appendix 1: General Competency Frameworks for T Levels\n## Appendix 2: Diagrams","[{\"question\":\"What is the T Level Technical Qualification in Digital Data Analytics and who is it for?\",\"answer\":\"It is the main classroom-based element of the T Level Technical Qualification in Digital Data Analytics (Level 3). It provides core knowledge across the industry and occupationally specific skills for skilled employment, apprenticeships, or higher-level study.\"},{\"question\":\"How is the qualification structured between core and occupational specialism?\",\"answer\":\"The qualification includes a Core component and an Occupational Specialism component. The core component covers assessment via core papers and an Employer Set Project, while the specialism is organised into multiple content areas for data analytics skills.\"},{\"question\":\"How are grades calculated and how do results transfer to providers?\",\"answer\":\"The specification explains how the Technical Qualification is graded and awarded, including calculation of the Technical Qualification grade, awarding of components, and the Uniform Mark Scale. It also describes calculation of the T Level grade and results transfer to Providers, including reporting timelines.\"}]","T Level Technical Qualification in Digital Data Analytics - Version 1.1 - Specification | PDF",1792468252,282]