Computing

Digital Technologies for England(AI) Artificial Intelligence solutions

HND
Leaflet Code: CR28845JFT


Overview

Within the Higher Technical Qualification in Digital Technologies (Artificial Intelligence (AI) Solutions and Applications), you will delve into the attractive world of Artificial Intelligence, exploring its diverse applications and solutions across various industries.
Year 1, you will work towards the Higher National Certificate completing eight 15 credit non-specialised units at level 4, that will develop a strong understanding across the computing field in preparation for the specialised units at level 5.
Year 2, you will work towards the Higher National Diploma completing eight 15 credit specialised units at level 5, developing your specialised knowledge, and understanding of the key components that drive AI innovation.

  • City Campus Manchester
  • Full Time
  • 2 years
  • January 2025

Quality Mark:

Higher Technical Qualification Logo

Nicole Donnelly- Programme Leader
Lukel Spencer- Lecturer HE
Jan Shah- Lecturer HE
Paul Ashby- Lecturer HE
Chris Miller- Programme Leader
Andy Holland- Programme Leader


• Students that have passed a recognised Access programme will also be considered

• GCSE English Language and Mathematics A* to C or 9 to 4 where numeric grades are being awarded

• A Level 3 qualification in Computing including BTEC and T-Levels

• 64 UCAS Tariff Points

Applicants who do not meet the standard entry criteria but have previous learning towards a degree-level qualification or relevant industry or life experience will be considered on an individual basis and may be invited to interview.


Year 1: Unit 1: Professional Practice in the Digital Economy (15 credits)

Year 1: Unit 11: Software Development Lifecycles (15 credits)

Year 1: Unit 15: Fundamentals of Artificial Intelligence (AI) and Intelligent Systems (15 credits)

Year 1: Unit 2: Innovation and Digital Transformation (15 credits)

Year 1: Unit 3: Cyber Security (15 credits)

Year 1: Unit 4: Programming (15 credits)

Year 1: Unit 5: Big Data and Visualisation (15 credits)

Year 1: Unit 7: Cloud Fundamentals (15 credits)

Year 2: Unit 19: Business Intelligence (15 credits)

Year 2: Unit 20: Internet of Things (15 credits)

Year 2: Unit 21: Emerging Technologies (15 credits)

Year 2: Unit 22: Work-based Learning in the Digital Economy (15 credits)

Year 2: Unit 28: Risk Analysis and Systems Testing (15 credits)

Year 2: Unit 36: Application Development (15 credits)

Year 2: Unit 37: Application Program Interfaces (15 credits)

Year 2: Unit 41: Digital Sustainability (15 credits)

At Level 4 the course offers students a broad introduction to the subject area via mandatory core units across Computing, specifically focused on Artificial Intelligence. This effectively builds underpinning core skills while preparing the student for subject specialisation at Level 5.
Students will gain a wide range of sector knowledge tied to practical skills gained in research, self-study, directed study and workplace scenarios.

A range of assessment methods will be used within the course including:
• Written assignments- reports, essays, presentations
• Portfolios
• Observations
• Professional discussions
• Practical demonstrations

Required to have their own laptop to allow for online learning

All students are subject to UCEN Manchester’s Terms and Conditions from the date they accept an offer to study here, full details of which can be found here. The UCEN Manchester Admissions Policy and Procedure can be found here.