Artificial Intelligence with Professional Placement

Shape the algorithms that amplify imagination. 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.

Course Modules

Year One:

In your first year, you will lay the groundwork for your AI journey. Designed for beginners, this stage introduces the core principles of programming, data structures, algorithms and computational thinking, which form the foundation of intelligent technologies.

You will get hands on from day one: writing code, exploring data and experimenting with digital tools to bring ideas to life. This is where you’ll build your confidence, curiosity and technical fluency, which forms a strong foundation for creating, questioning and innovating with artificial intelligence.

Modules:

Principles of Computing

Development Foundations

Digital Creativity

Individual Programming Project

Data Fundamentals

Sustainable Logic Architectures

Year Two:

Your second year is where you start to specialise as an AI developer. You’ll deepen your technical skills and computational practice through hands-on experimentation and interdisciplinary projects. You’ll explore ways to design, train and deploy intelligent systems, combining coding, data analysis and machine learning to create responsive and innovative AI solutions.

You’ll also develop critical awareness of how AI technologies impact society and culture, considering ethical, inclusive and sustainable approaches to design and deployment. Throughout this stage, you’ll build your analytical and research skills, connect theory with practice and work with others to solve complex technical problems. This will prepare you for advanced AI projects in your final year.

Modules:

Computational Mathematics

Algorithms & Optimisation

Artificial Intelligence

Embedded Systems

Machine Learning

Responsible AI: Ethics and Society

Year Three:
You’ll be responsible for finding your own placement, with support from the employability team. Choosing this option will enhance your industry experience and skills while studying.

How you’ll study during your professional placement
You’ll spend time working in a professional context, as part of a business or organisation. This can be in one role, or up to three, and must be for a minimum of 24 weeks.

You’ll develop in-demand workplace skills, deepen your insight into industry and grow your network of contacts, all of which could help you get ahead in your career after graduation.

Throughout this year, you’ll develop a portfolio of work that includes critical self-reflection on what has been learned from the experience. You’ll be required to evidence your experiences, the skills you’ve learned and your professional growth.

Year Four:
In your final year, you’ll start with Computational Creativity, exploring procedural content generation and AI-driven techniques for building interactive, adaptive, or generative systems.

You’ll also undertake an individual research and development project under the guidance of a specialist, giving you the chance to create a substantial AI artefact, apply scientific methods and generate insights that can inform future AI development.

Alongside this, you’ll take part in the Digital Innovation and Major Collaboration projects, moving your projects from ideation to production environments. Working in multi-skilled teams, you’ll plan, design and deliver a significant project with real-world impact, while developing your own intellectual property and professional portfolio.

Modules:

Research & Development: Proposal

Digital Innovation

Computational Creativity

Research & Development: Dissertation

Major Collaboration

As part of our process of continuous improvement, we routinely review course content to ensure that all our students benefit from a high-quality and rewarding academic experience. As such, there may be some changes made to your course which are not immediately reflected in the content displayed on our website. Any students affected will be informed of any changes made directly.

https://www.falmouth.ac.uk/study/undergraduate/artificial-intelligence

All assessment on this course is based on coursework - there are no exams. Each study block includes between three and six coursework tasks, staggered across the term to support workload management.

Throughout your degree, you’ll build a portfolio of individual and team projects, showcasing your skills and creativity. Your continuing professional development will be assessed in the Major Collaboration, helping you demonstrate your employability and readiness for a career in AI.