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Digital Technologies for England: Artifical Intelligence

Course details
  • HND
  • 2 Years
  • Full-time
  • 14 September 2026
  • Undergraduate
Course location
Main Site
Awarded by:
Pearson Education Ltd

Course summary

Step into one of the fastest-growing areas of the global digital economy with our BTEC HND in Digital Technologies (Artificial Intelligence). This innovative Higher Technical Qualification is designed to equip you with the knowledge, skills, and practical experience needed to develop and apply intelligent technologies in real-world contexts.

Over two years, you will explore the cutting edge of modern computing, including artificial intelligence, machine learning, data analytics, cloud computing, and emerging digital technologies. The course blends strong technical foundations with applied learning, enabling you to design, develop, and evaluate AI-driven solutions that address real business and societal challenges.

This programme goes beyond theory. You will work on industry-relevant projects, build software applications, analyse data, and gain hands-on experience with the tools and technologies used by today’s digital professionals. Alongside technical expertise, you will also develop key employability skills such as problem-solving, teamwork, communication, and project management, preparing you for the demands of the modern workplace.

Developed in line with employer needs and national occupational standards, this HND provides a clear pathway into careers such as AI developer, data analyst, software engineer, or digital solutions specialist, as well as progression to the final year of a related university degree.

Whether you are looking to start a career in technology, specialise in artificial intelligence, or progress to higher-level study, this course offers a future-focused route into the digital industries.

Entry requirements
• BTEC Level 3 qualification in Computing, Business or Creative Digital Media Production or other relevant level 3 qualifications
• GCSE grades A* to C (or equivalent) and/or 9 to 4 (or equivalent) in Maths and English Language
• Access to Higher Education Diploma from an approved further education institution
• An international equivalent to the above qualifications

Study Content at Level 4 HNC 26-27
Unit 1 Professional Practice in Digital Economy
Unit 2 Innovation & Digital Transformation
Unit 3 Cyber Security
Unit 4 Programming
Unit 5 Big Data & Visualisation
Unit 7 Cloud Fundamentals
Unit 11 Software Development Lifecycles
Unit 15 Fundamentals of Artificial Intelligence (AI) & Intelligent systems

Study Content at Level 5 HND 27-28
Unit 19 Business Intelligence
Unit 20 Internet of Things
Unit 21 Emerging Technologies
Unit 28 Risk Analysis and Systems Testing
Unit 36 Application Development
Unit 37 Application Program Interface
Plus two optional units (TBC)

Assessment Types
Internal assessment, coursework based such as;
• written reports/essays
• research projects
• case studies
• presentations
• practical demonstrations

Future Prospects
Once students have achieved the Level 4 Higher National Certificate or the Level 5 Higher National Diploma, they can develop their careers in the respective sector by:
• entering employment
• continuing existing employment
• linking with the appropriate professional body
• going to university.

Career Pathways
• Cyber security and networking
• Software development and programming
• Data and analytics
• Cloud and infrastructure
• Digital business and marketing
• Business and IT management
• AI and emerging technologies

The Level 5 Higher National Diploma is recognised by higher education providers as meeting admission requirements to many relevant digital technologies courses, for example:
• BSc (Hons) in Artificial Intelligence
• BSc (Hons) in Business Analytics
• BSc (Hons) in Computer Science
• BSc (Hons) in Cyber Security
• BSc (Hons) in Data Science and Analytics
• BSc (Hons) in Network Engineering
• BA (Hons) in Social Media Management
• BSc (Hons) in Software Engineering.

Assessment method

Internal assessment, coursework based such as;
• written reports/essays
• research projects
• case studies
• presentations
• practical demonstrations

How to apply

Apply by
14 January

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
CMP1
Institution code:
W40
Campus name:
Main Site
Campus Code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

UCAS Tariff
48 points

Historical entry grades data

This section shows the range of grades that students who received offers were previously accepted on to this course with (learn more).

It is designed to support your research but does not guarantee whether you will or won't get a place.

Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Fees and funding

Tuition fees

Per year tuition fees

LocationFeeYear

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.

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