This Master of Science (MSc) program focuses on Applied Artificial Intelligence (AI), equipping graduates with the skills to meet the growing demand for AI expertise across various industries. The course explores cutting-edge AI technologies, including machine learning, deep learning, and agentic AI, alongside data analytics and systems engineering principles necessary for real-world implementation. It combines theoretical knowledge with practical application, preparing students to solve complex engineering problems using AI. The curriculum is designed with input from an Industrial Advisory Panel to ensure relevance to current industry needs and future technological advancements.
The course comprises eight compulsory taught modules delivered from October to March, followed by a group project and an individual research project. Learning is enhanced through industry seminars, case studies, laboratory experiments, and project work, with access to specialized facilities like the Aerospace Integration Research Centre and the Intelligent Mobility Engineering Centre. Technology-enhanced teaching methods, including a Virtual Learning Environment (VLE), are used to support diverse learning styles.
Graduates are prepared for roles in industries leveraging AI, including security, defence, marine, environmental, and aerospace sectors. The course's industry-informed curriculum and networking opportunities with employers through thesis presentations enhance career prospects. Both full-time and part-time students can benefit from career development support.
This course is suitable for graduates with a fundamental interest in AI, machine vision, and computer sciences who wish to apply this knowledge to solve real-world engineering problems. Part-time study is available and can be combined with full-time employment.
Please refer to the university's official website for the most up-to-date fee and funding information.
Applicants should have a good honours degree (minimum 2:2) or an equivalent professional qualification and experience in Engineering, Physics, Computing, or Mathematics.
The full-time program duration is 1 year. Part-time study options are also available.
You can apply through the Cranfield University application portal by completing an online form and submitting academic transcripts, degree certificates, and proof of English language proficiency if required.
Graduates are prepared for roles such as AI Engineer, Machine Learning Specialist, Data Scientist, and Systems Engineer, particularly in sectors like security, defence, marine, environmental, and aerospace.
The course has an October intake. Specific application deadlines for the October intake should be checked on the Cranfield University website.