MSc Artificial Intelligence Technology with Advanced Practice
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. At postgraduate level, the course develops advanced analytical, strategic and research capability for professional or academic progression.
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
Postgraduate entry normally requires a recognised bachelor's degree or equivalent qualification. Some programmes consider substantial relevant professional experience. English-language requirements and classification thresholds vary by institution. 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.