Give yourself the professional edge with an impressive combination of technical data science skills, renowned visual arts expertise, cross-discipline collaboration and entrepreneurial know-how. Become a confident and daring data scientist. Learn to leverage artificial intelligence, machine learning and contemporary statistics to deliver insight through the collection and analysis of data. Set apart from traditional approaches, this data science course blends technical foundations in information technology and statistics with Falmouth's visual arts expertise to champion the visualisation of data and the communication of insights. Choose between a three-year degree or a four-year degree with either Integrated Foundation Year or a year of professional practice. This course is the three-year option. You will: 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 own products and services Engage in multidisciplinary practice with students across the University, with the flexibility to choose a specialist focus
On this data science course, you'll harness user-centred approaches that incorporate analysis, design, implementation and evaluation to create digital products and services that meet real market needs. You'll gain an advanced knowledge of data science, an understanding of the principles and theories associated with statistics and a firm foundation in the computing pipelines used to collect, analyse, and visualise data. You'll also learn development principles that span the sector, including techniques and processes such as Agile with Scrum, version control, data warehousing, and cloud technologies. Year One: Your first year will be shared with all courses in the computing subject area. Working within the bustling Games Academy, you'll develop a foundational knowledge of the discipline and get a practical introduction to programming and computer technology, as well as the pipelines and processes used to create engaging digital products and services. You'll also develop an individual project, gaining hands-on experience of the various branches of data science by harvesting and analysing data in either a sustainability or citizen science context. Modules could include: Development Principles Creative Computing Principles of Computing Individual Creative Computing Project Multidisciplinary Development Practice Year Two: The second year involves much deeper specialism in data science, studying areas such as complex problem solving, web technologies, systems analysis, machine learning, computational mathematics and advanced statistics. Putting this knowledge into practice, you'll also work with peers from Cornwall Business School on challenge-led briefs set by real companies. Modules could include: Complex Problem Solving Computational Mathematics Web Technologies Collaboration Statistics & Machine Learning Year Three: In your final year, you'll explore more advanced topics in data science and focus on preparing for your future as a data scientist. Alongside an individual research project into novel and emerging approaches to data science, you'll apply your knowledge to a major collaboration project. You'll also specialise in data aesthetics, drawing upon Falmouth's visual communication expertise and cutting-edge research on visualisation methods. Modules could include: Data Aesthetics Future Skills Major Collaboration Research & Development: Practice Research & Development: Dissertation The modules above are those being studied by our students, or proposed new ones. Programme structures and modules can change as part of our curriculum enhancement and review processes. If a certain module is important to you, please discuss it with the Course Leader.
You'll be assessed through coursework only. This can take many forms, including: Practical projects Papers Pitches Portfolios Designed to mirror industry practice, you'll be continually assessed on group projects through a group working strategy.
How to apply
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.
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- Penryn Campus
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Points of entry
The following entry points are available for this course:
- Year 1
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.
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. 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/
Additional entry requirements
Applicants should have GCSE Mathematics Grade 4 (C), or equivalent.
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
No fee information has been provided for this course