Course options

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Course summary

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 Integrated Foundation Year or a year of professional practice. This course is the four-year with professional practice 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

Modules

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: Placement year You can choose to take a placement year, which means you'll spend a year between your second and final year on placement in industry, developing your business or freelance portfolio* or studying abroad. Choosing this route will enhance your industry experience and skills while studying. How you’ll study in your Sandwich Year Supported by an employer if you're working in industry, or the University if you've opted for the self-employment route*, you'll develop your industry skills and understanding of the workplace. If you study abroad, you'll gain new perspectives on your subject, gain in confidence and independence. Throughout this year, you'll develop a portfolio of work that includes a 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. *Self-employment options are only available for UK students, due to Visa requirements Year Four: 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.

Assessment method

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

Application codes

Course code:
I1DC
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

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

Interview

Other

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


Unistats information

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

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