Digital Data Analytics

T-Level , Level 3
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Available at the following campuses:

A shot of the Printworks buildings showing the new build with the old printing hall and the outside yard and grass with blue skies and white clouds

Printworks Campus

What Our Students Say

“Playing tournaments, for me, I think it helps me develop skills because mainly I don’t play tournament-based games, and in tournaments there’s very skilled players playing. So if I end up going against a really skilled player and lose, I can still learn from how they’ve played and try again. Support with everyone is great, we all get along, we’re all nice to each other and we all help whenever we can, and same with the tutors – they support us the best with how they are.”

Kai, eSports

“I’m in Games Design because I’ve been doing Computer Science since high school so Games Design felt like the right path for me to follow. Currently in class we’re working towards making our own game that focuses on things like story and adventure aspects as we’re creating weapons and levels to create a stealth and spy game. We get to be up and about and go a fair few different places – we’ve already been to the Royal Armories, taken photos of things and used those for our 3D models.”

Min, Games Development

“The course has helped me develop – I’ve been more social towards my team and other people. And it’s helped me develop my comms with more competitive gameplay. People in the course are very supportive of you and in the games they are helpful, give you comms and all that.”

Aaran, eSports

“If you’re somebody who likes art we’ve got concept art courses here. Also if you like audio we’ve got a lesson about that. It branches off, things like other different careers you can do with this class. It’s not exam based so you don’t have to worry about revising a lot, it’s coursework based so you finish some of the product portfolio, hand it in throughout the course.”

Joseph, Games Development

Did you know!

  • Duration & Split: The course lasts 2 years. Students spend approximately 80% of their time in the classroom and 20% on a mandatory industry placement. Industry Placement: Work ready experience gained with a minimum of 315 hours (roughly 45 days) completed with an employer. UCAS Tariff Points: Equivalent to three A Levels, with a Distinction* being equal to 3 A*s at A Level.

Course Information

Introduction

The T Level in Digital Data Analytics is a two-year, Level 3 qualification equivalent to three A Levels, designed to prepare students for roles such as Data Analyst, Data Engineer, Data Scientist and many more. It combines 80% classroom learning with a substantial 45-day industry placement. The curriculum includes learning skills in data sourcing, manipulation, visualisation and security. Followed with assessments including exams and practical work with employer-set tasks and an occupational specialism project.

Overview

You will study a range of topics designed to give you a solid understanding of how digital technologies influence business operations and decision-making. Key areas of study include the use of data in software design, problem-solving through digital technologies, and managing digital environments, including cloud and virtual platforms. You will also learn how to organise, analyse, and interpret data to drive business outcomes, and explore important legal and regulatory frameworks related to digital technologies, such as data privacy and security.

Who is this course for?

If you are an ambitious 16-18 year old who is interested in sourcing, organising, formatting, interpreting data and using digital tools to solve problems. This is the course for you to enter into a highly rewarding career in Data Analytics.

Course units/modules

The Core Component (Year 1)

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Consists of a range of topics regarding digital related knowledge and employer informed skills:

  • Core 1 - Exam
  • Problem solving
  • Introduction to digital support
  • Data
  • Legislation and regulatory requirements
  • Core 2 - Exam
  • Business context
  • Emerging issues
  • Digital environments
  • Security

Employer Set Project

The Occupational Specialism (Year 2)

The students learn how to put their knowledge into project based learning and develop their skills in data analytics.

  • Source, organise and format data securely in a relevant way for analysis
  • Blend data from multiple sources
  • Analyse structured and unstructured data to support business outcomes
  • Interpret data and communicate a result appropriate to the audience
  • Can apply legal, ethical and professional principles when manipulating data
  • Discover, evaluate and apply reliable sources of knowledge

IT Industry Placement

  • 3 months, working in the industry

Available apprenticeships and progression options

Employment: Junior Data Analyst, Data Technician, Data Analyst, Data Engineer, Data Scientist and many others in this sector. Apprenticeships: Level 4 Higher Apprenticeships in Data Analytics or Software Development. University: Degrees in Data Science, Computer Science, or Business Analytics.

Assessment types

All assessments are externally marked. Year 1 consists of 2 Exams and an Employer-Set Project. Year 2 consists of an Occupational Specialist Project.

Course details

Duration: 2 years
Start Date: 14/09/2026
Study Type: Full time
Course Code: 90111-01

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