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Artificial Intelligence with Professional Placement at Falmouth University - UCAS

Falmouth University

Degree level: Undergraduate

Artificial Intelligence with Professional Placement

Course options

2026 - 2027
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This course is subject to validation. You can still apply for this course while it is being approved.

Falmouth University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

Open days

25Oct
Open Day (in-person)
Undergraduate
22Nov
Open Day (in-person)
Undergraduate

Course summary

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.

Modules

All the courses in the computing and AI subject area share a common first year. No matter your background or experience, in your first year you’ll level up your knowledge of programming and mathematics through playful experimentation in collaboration with other students across the computing subject area. 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, and build your confidence, curiosity and technical fluency, which forms a strong foundation for creating, questioning and innovating with artificial intelligence.. Modules: Principles of Computing Digital Creativity Development Foundations Data Fundamentals Individual Programming Project Multidisciplinary Teamwork Year Two: Your second year is where you start to specialise as an AI developer. 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. You’ll build your analytical and research skills, connect theory with practice and work with others to solve complex technical problems. Modules: Artificial Intelligence Machine Learning Computational Mathematics Algorithms & Optimisation Responsible AI: Ethics and Society Embedded Systems 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: Digital Innovation Major Collaboration Computational Creativity Research & Development: Proposal Research & Development: Dissertation 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.

Assessment method

All assessment on this course is based on coursework - there are no exams. 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.

How to apply

14Jan

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
I401
Institution code:
F33
Campus name:
Penryn Campus
Campus code:
P

Points of entry

The following entry points are available for this course:

  • Year 1

International applicants

If English is not your first language, you will need to demonstrate English language skills that are sufficiently developed for successful completion of your studies. We accept a range of recognised English language qualifications that are equivalent to the International English Language Testing System (IELTS) Academic minimum score of 6.0 overall, with a minimum of 5.5 in Reading, Writing, Speaking and Listening. Through the award of international scholarships, we aim to support academic enrichment by encouraging diversity and excellence at Falmouth. For details of our international scholarships, and how to apply for them, please visit our website at www.falmouth.ac.uk

Entry requirements

Qualification requirements

At Falmouth, we recognise excellence in many forms, and we see the whole you. Our diverse community is creative, innovative and entrepreneurial. We recognise that these qualities aren’t always shown in academic grades alone. That’s why, while many of our applicants achieve high academic grades, we also welcome those who can demonstrate their potential through an exceptional portfolio or performance. To support this approach, during a friendly conversation with our academic team, we’ll consider your ideas, your creative output and your ambition to ensure you’ll thrive at Falmouth. If you are able to demonstrate relevant, current, equivalent experience instead of formal qualifications, we encourage you to apply. Please contact our Applicant Services team before applying, for advice regarding your individual experience and eligibility. If you are an international applicant and require a Student visa to study in the UK, you must have a recognised English language test approved and vouched for by the University at the appropriate level. You can see what we accept on our website https://www.falmouth.ac.uk/study/international/english-language-requirements Our Applicant Services team can help you with any general questions you may have about study visas or suitable language tests. For more specific advice, we recommend you also consult UKCISA http://www.ukcisa.org.uk/

Please click the following link to find out more about qualification requirements for this course

https://www.falmouth.ac.uk/study/entry-requirements

Additional entry requirements

Interview

Other

Applicants should have GCSE Mathematics Grade 4 (C), or equivalent.

English language requirements

If English is not your first language, you will need to demonstrate English language skills that are sufficiently developed for successful completion of your studies. We accept a range of recognised English language qualifications that are equivalent to the International English Language Testing System (IELTS) Academic minimum score of 6.0 overall, with a minimum of 5.5 in Reading, Writing, Speaking and Listening

View our list of accepted English language tests and qualifications using the link below

https://www.falmouth.ac.uk/study/international/english-language-requirements

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Artificial Intelligence with Professional Placement at Falmouth University - UCAS