Log in or sign up to access the BHE Uni student portal
You’ll become a confident and daring data scientist, able to leverage artificial intelligence, machine learning and current statistics to deliver insight through the collection and analysis of data.
Set apart from traditional approaches, this data science course combines technical foundations in information technology and statistics with Falmouth’s visual arts expertise to champion the visualisation of data and the communication of insights.
Join a community of technologists from games, immersive computing, robotics, artificial intelligence and user experience
Learn from academic and industry experts with extensive knowledge of machine-learning technologies across a range of contexts
Master the computing and mathematical foundations necessary to leverage cutting-edge technologies to synthesise insights from data using Agile methodologies
Utilise research to push the boundaries of data visualisation, enriching the way people engage with data
Work with businesses through challenge-led briefs, with the chance to realise and launch your products and services.
Engage in multidisciplinary practice with students across the University, with the flexibility to choose a specialist focus
We consider all applications on their merit and potential. We invite all applicants to an interview day or audition to allow them to demonstrate this, along with what inspires and motivates them in their field. Applicants can also show their portfolio or perform, depending on the course. We welcome applications from all subject backgrounds, whether you’ve specialised in STEM, the arts or the humanities. Course route Entry requirementsBA/BSc(Hons) three-year degree 104 – 120 UCAS Tariff pointsBA/BSc(Hons) four year degree with placement year 104 – 120 UCAS Tariff pointsBA/BSc(Hons) four year degree with Integrated Foundation Year 80 – 120 UCAS Tariff pointsUCAS Tariff points will primarily be from Level 3 qualifications such as but not limited to A-levels, T Levels, a BTEC/UAL Extended Diploma or a Foundation Diploma.
Twenty hours of work permit weekly for international students.
Explore
Technique
Apply
Industry
Launch
Development Principles
Creative Computing
Principles of Computing
Individual Creative Computing Project
Multidisciplinary Development Practice
Complex Problem Solving
Computational Mathematics
Web Technologies
Collaboration
Statistics & Machine Learning
Data Aesthetics
Future Skills
Major Collaboration
Research & Development: Practice
Research & Development: Dissertation
For applicants whose first language is English, we require you to have or be working towards GCSE English Language Grade 4 (C) or equivalent.
If English is not your first language, you must meet the same standard, equivalent to the IELTS Academic 6.0 overall score, with at least 5.5 in Reading, Writing, Speaking and Listening. We accept a range of in-country equivalencies and approved tests.
Other programmes you might be interested in.
For any enquiries or further details, please don't hesitate to contact us. Let's take the next step in your academic journey together.
BHE UNI - Search
Get tailored advice on courses and career paths from a BHE Uni mentor.
Your consultation request has been submitted successfully. We will contact you shortly.