Applied Artificial Intelligence MSc at Cranfield University

Artificial Intelligence technologies are being increasingly adopted across a broad range of industries, creating demand for talented graduates who can help realise the transformative potential of AI.  With a fundamental interest is AI, machine vision and computer sciences you will have the desire to apply this knowledge to solve real world engineering problems.

Taught through a unique combination of theoretical and practical based sessions you will cover subjects in logic and reasoning, data analytics, deep learning, agent architectures, alongside the broader systems engineering and ethical considerations required for implementation in real-world systems.

Artificial intelligence (AI) and machine learning are redefining the way we live and work, allowing us to automate processes and enhance productivity. These new technologies create the need for skilled engineers with an understanding of their applications and intricacies.

In its Industrial Strategy, the UK government has outlined AI and data revolution as one of its four Grand Challenges, to ensure the UK leads the way for the industries of the future. By embedding AI across the UK, the government aspires to create thousands of high-quality jobs and to drive economic growth. The UK is already a world-leader in AI and at Cranfield we want to continue to bolster this upward trend.

Undertaking this course will allow you to be at the forefront of this ongoing technological revolution, equipping you with both the theoretical and practical knowledge to work across disciplines and implement AI systems where they are needed.

We are well-located for visiting part-time students from all over the world, and offer a range of library and support facilities to support your studies, while balancing work/life commitments. Our MSc programmes benefit from a broad cultural diversity of students, which significantly enhances the learning experience for both staff and students.

The course will include eight taught compulsory modules, which are generally delivered from October to March.

Students are also supported in their learning and personal development through exposure to; industry seminars, group poster session, group discussions, group presentations, video demonstrations, case studies, laboratory experiments, coursework and project work. Students will receive hands-on experience accessing equipment and facilities within both our Aerospace Integration Research Centre and Intelligent Mobility Engineering Centre.

The new MSc in Applied Artificial Intelligence will use standard teaching and assessment methods as well as technology enhanced teaching (TET) methods such as a Virtual Learning Environment (VLE) to support different learning styles. Theories and fundamental of AI will be taught in both lecture and workshop formats where videos and technology demonstrators will be used as teaching aids. Lecture videos will be available on VLE to provide an interactive learning experience.

Modules

Keeping our courses up-to-date and current requires constant innovation and change. The modules we offer reflect the needs of business and industry and the research interests of our staff and, as a result, may change or be withdrawn due to research developments, legislation changes or for a variety of other reasons. Changes may also be designed to improve the student learning experience or to respond to feedback from students, external examiners, accreditation bodies and industrial advisory panels.

To give you a taster, we have listed the compulsory and elective (where applicable) modules which are currently affiliated with this course. All modules are indicative only, and may be subject to change for your year of entry.