Computer & AI
Applied Artificial Intelligence MSc
Cranfield UniversityAn applied AI MSc developing machine learning, intelligent systems, data and AI implementation skills for engineering and industrial applications.
Related pathways
Study Level
Master's Degree
Study Mode
On Campus
Duration
1 year full-time
Programme Overview
Cranfield's Applied Artificial Intelligence MSc develops practical expertise in artificial intelligence and machine learning for real-world industrial applications.
Students build skills in data-driven modelling, intelligent systems, computational methods and AI implementation.
The programme reflects Cranfield's applied engineering environment, allowing AI techniques to be connected with sectors such as aerospace, transport, manufacturing and autonomous systems.
A substantial project enables students to apply AI methods to an advanced problem.
Entry Requirements
Applicants normally require a UK first- or second-class honours degree or equivalent international qualification in engineering, mathematics, computer science, physical sciences or another relevant quantitative discipline.
Programming and quantitative experience are advantageous.
English-Language Requirements
IELTS Academic:
6.5 overall
Minimum 5.5 in each component
Equivalent Cranfield-approved tests are accepted.
Career Outcomes
Scholarship Information
Cranfield offers postgraduate funding opportunities in AI, engineering and related disciplines through its Funding Finder. External industry and government awards may also be available.