Course summary
Pearson BTEC Level 4 Higher National Certificate in Digital Technologies for England (Artificial Intelligence (AI) Solutions and Applications) is structured to give you a thorough understanding of the field of computer science whilst providing you with the opportunity to develop a strong theoretical grounding in Artificial Intelligence with many opportunities to put this into practice. Pearson BTEC Higher Nationals in AI and applications modules allow you to delve deep into the areas of AI applications. It will also provide you with the background knowledge and skills required to become a successful AI professional able to work in a range of exciting roles ranging from big data engineer, AI engineer, IoT Specialist etc. Our Pearson BTEC Level 4 Higher National Certificate in Digital Technologies for England (Artificial Intelligence (AI) Solutions and Applications) will equip you with systematic knowledge and experience of the theory and practice of AI, offering you opportunities to develop analytical and practical transferable skills, as well as an understanding of the changing role of AI in society and relevant social, legal, professional, and ethical responsibilities related to the dangers of AI. In addition to the knowledge, understanding and practical skills that underpin the study of the computing sector, Pearson BTEC Level 4 Higher National Certificate in Digital Technologies for England (Artificial Intelligence (AI) Solutions and Applications) gives students the experience of the breadth and depth of the sector, which will prepare them for further study or training.
Modules
Students will develop a broad knowledge and awareness of key aspects of the computing sector at Level 4 through seven core units (mandatory) which include one unit assessed by a Pearson-set assignment and one further optional units at Level 4,. The units are: Core Units: Professional Practice in the Digital Economy Innovation & Digital Transformation Cyber Security Programming Big Data & Visualisation Cloud Fundamentals Software Development Lifecycles Fundamentals of Artificial Intelligence (AI) & Intelligent Systems
Assessment method
Assessment is through a series of assignments including 95% written assignments, 3% group work, 1% presentations and 1% time-constrained assessments. the grades in each subject unit are shown as: pass merit distinction
How to apply
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:
- C4AI
- Institution code:
- U95
- Campus name:
- Uxbridge College Campus
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
International applicants
For more information, see our web page link here: https://www.uxbridgecollege.ac.uk/college-information/international.html
Entry requirements
Qualification requirements
UCAS Tariff
Please click the following link to find out more about qualification requirements for this course
Student Outcomes
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
England | £6500* | Year 1 |
Northern Ireland | £6500* | Year 1 |
Scotland | £6500* | Year 1 |
Wales | £6500* | Year 1 |
International | £8500* | Year 1 |
*This is a provisional fee and subject to change.
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
Provider information
Harrow, Richmond & Uxbridge College
Park Road
Hillingdon
UB8 1NQ