T Level in Digital Data Analytics

Ever wondered how companies use data to make decisions, predict customer behaviour, or improve the services we use every day? The T Level Digital Data Analytics course at Trafford & Stockport College Group will help you discover how data drives modern business. Through practical projects, industry-relevant scenarios, and employer-focused learning, you will develop the technical knowledge and analytical skills needed for a successful career in the growing digital sector.

This course is the ideal stepping stone towards higher-level study, apprenticeships, or employment within the digital and technology sector. The T Level combines classroom learning with a substantial industry placement of a minimum of 315 hours, allowing you to apply your skills in a real workplace environment. The advanced analytical, technical, and problem-solving skills you develop will prepare you for careers in data analytics, business intelligence, digital operations, and a wide range of other technology-focused roles.

5 GCSEs at Grade 4 or above (including English Language, Maths and IT).

You will learn how to collect, organise, analyse, and interpret data to support business objectives while gaining hands-on experience with the tools and techniques used by professional data analysts. Throughout the course, you will explore topics including data management, data visualisation, business intelligence, digital technologies, statistics, and data-driven decision making. At Trafford & Stockport College Group, learning is highly practical and project-based; you will work with realistic datasets and business scenarios, developing solutions, producing reports, and presenting insights just as data professionals do within modern organisations.

Year 1 - The Core Component is assessed through:
- Core Examination Paper 1
- Core Examination Paper 2
- Employer Set Project (ESP), where learners apply their knowledge to a realistic business scenario.

Year 2 - The Occupational Specialism is assessed through:
- An Occupational Specialism Project (OSP), where learners source, prepare, analyse, and interpret data to address a realistic business scenario, before communicating their findings and recommendations to a specified audience.

As part of achieving the overall T Level programme, students are required to complete a minimum of 315 hours industry placement.

After completing this qualification, you will be well prepared to take your digital and analytical skills even further. Here are some exciting routes you can explore:
- Higher Apprenticeship in Data Analysis or Digital Technology Solutions
- Higher Education qualifications in Data Analytics, Computer Science, Business Analytics, Cyber Security, or Digital Technologies

Students can enter the workforce as Data Analysts, Junior Business Intelligence Analysts, Data Technicians, or Reporting Analysts, supporting organisations with data collection, analysis, and reporting activities.

Those interested in data systems and digital operations can pursue careers as Information Analysts, Data Quality Officers, Digital Operations Analysts, or Database Support Technicians, helping organisations manage and improve their digital information assets.

Additionally, the course provides a strong foundation for specialist careers in emerging technology fields, including Business Intelligence Development, Data Engineering, Artificial Intelligence Support, and Digital Transformation, where data is used to drive innovation and improve organisational performance.

Problem Solving
Introduction to Analytics
Data
Digital Environments
Business Context
Security
Legislation and Regulatory Requirements
Emerging Issues and Impact of Digital Technologies

For further information please contact T: 0161 886 7070 or E: info@trafford.ac.uk

Although every care has been taken to ensure that the information contained within this document is accurate, there may be changes to this programme and provision. We will endeavour to keep prospective and current students updated where appropriate and when the information becomes available.