HND Digital Technologies (Artificial Intelligence)
Explore this study route and speak with UNIBEE for the current institution, intake and eligibility options.
Course Overview
Develop technical and problem-solving skills for contemporary digital careers. Study can combine software, data, networks, cloud technologies, artificial intelligence, cyber security and the management of digital systems. This higher-education diploma route emphasises applied, vocational learning and progression into employment or further degree-level study.
CURRICULUMCurriculum
Curriculum content differs by institution and intake. The themes below reflect the course information reviewed for this study area and are provided as a guide.
- Machine learning and intelligent systems
- AI applications, ethics and responsible innovation
- Programming and software development
- Computer systems and networks
- Databases and data management
- Web and application development
- Cloud technologies
- Cyber security and information assurance
- Artificial intelligence and data analytics
- Systems analysis, projects and professional practice
Assessment
Assessment is typically practical and project-based, using programming tasks, technical reports, system designs, portfolios, presentations, labs, case studies and software or data projects.
ENTRY REQUIREMENTSEntry Requirements
HND routes normally require an appropriate Level 3 qualification or equivalent. Some institutions also consider mature applicants with relevant experience. Applicants are normally expected to be at least 18 at the start of higher-education study. UNIBEE will confirm the exact requirements for the institution and intake selected before an application is submitted.
CAREERSCareers
Relevant career directions can include AI developer, machine-learning analyst, data specialist. Possible careers include software development, data analysis, cyber security, cloud and network engineering, systems analysis, IT project management, AI-related roles and digital consultancy.