Open Day (in-person)
23 May 2026, 08:00
Falmouth
Artificial intelligence is transforming every corner of our world: from self-driving cars to grids that balance the planet’s energy. Intelligent interfaces and generative tools are redefining how we think, create and connect.
On this Artificial Intelligence BSc degree, you'll learn to design, train and deploy AI models that understand complex data, to help solve global challenges. You’ll work collaboratively with interdisciplinary teams to solve computational problems, that inspire new ideas about the future of technology. You'll also study the infrastructures that support these systems, from APIs and software pipelines to the security and ethical frameworks that keep them safe and trustworthy for the global public.
With a focus on in-demand industry skills, you will gain hands-on experience with open-source technologies, cloud platforms and real-world data applications, while developing the technical, conceptual and critical skills needed to create intelligent systems that learn from - and collaborate with - their users.
Collaborating across disciplines, you’ll become a creative and ethically-informed technologist, with skills across intelligent, co-creative applications that respond to real needs. You’ll graduate ready to take a role in the fast-evolving world of AI as a developer, researcher, data scientist or creative technologist.
Why study this course at Falmouth?
Technical: Master the building blocks of artificial intelligence from algorithms and data science to machine learning, neural networks, computer vision and natural language processing.
Analytical: Harness computational thinking and advanced statistics to design, train and optimise models that solve complex, real-world challenges.
Trailblazing: Push boundaries with generative AI, robotics and autonomous systems that redefine how humans and machines collaborate.
Responsible: Tackle the ethical, social and environmental dimensions of AI to create technologies that are transparent, fair and sustainable.
Experimental: Build, test, and iterate in studio environments where ideas evolve through hands-on coding, rapid prototyping and bold exploration.
Collaborative: Team up with innovators across the computing and design disciplines to explore human-centred AI.
Connected: Engage with researchers and industry experts pioneering real-world AI applications in a fast-moving global landscape.
Professional: Step into the future as a skilled developer, researcher or data scientist, ready to shape intelligent systems that matter.
This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.
Choose a specific option to see funding information.
Course optionsWoodlane
Falmouth
TR11 4RH
Email:applicantservices@falmouth.ac.uk
Phone:01326 213730