Digital Data Analytics (T Level)

T levels are set at a high level 3 qualification standard, with significant and challenging content and externally assessed exams. This is not only classroom based, but employer project and industry placement (and is widely described to be more like a level 3.5). The amount and level of written work required means that it would not be possible to achieve the qualification without a strong standard of English writing.

Enrolment on an T Level programme requires a minimum of 5 GCSEs at grades 9 - 4, including English and maths.

Launch your career in data and technology with the T Level in Digital Data Analytics. This two-year qualification is equivalent to three A Levels and carries UCAS points, giving you the technical skills, knowledge and professional behaviours needed to progress into skilled employment, higher apprenticeships or university study.

You will develop core digital skills and specialist knowledge in data analytics, learning how to source, prepare and interpret data to support decision-making in real-world business and technology environments. Supported by expert tutors, you will combine classroom study with hands-on projects that mirror the challenges faced by today’s digital professionals.

Throughout your studies, you will complete a substantial industry placement of at least nine weeks with an employer, gaining valuable experience and confidence to apply your learning in professional settings.

If you do not yet meet the entry requirements for a T Level, our team will guide you to the best route for your goals. You may be offered an AAQ course, which allows you to study at Level 3 while retaking English and Maths. Once you have achieved the grades you need, you can progress onto a T Level and continue your journey towards a career in data analysis and digital innovation.

• Data analysis and interpretation: Learn how to source, clean and prepare data to extract meaningful insights.
• Programming and data tools: Use industry-standard software and coding techniques to manage and analyse data effectively.
• Data visualisation: Present data through dashboards, reports and visual tools to support business decision-making.
• Digital technologies: Understand how information systems, databases and digital platforms operate in business environments.
• Cyber security and data protection: Explore how to manage information securely and comply with data legislation.
• Project management: Learn how to plan, monitor and deliver digital projects in collaboration with stakeholders.
• Industry placement: Gain hands-on experience working in a digital or data-driven organisation for at least nine weeks.
• Professional skills: Develop communication, teamwork and problem-solving skills for success in digital roles.