Data Science

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 a year of professional practice. This course is the four-year option. You will: Join a community of technologists spanning a diverse range of specialisms from games, immersive computing, web, robotics, artificial intelligence, and user experience Learn from academic and industry experts with extensive knowledge of machine learning technologies across a range of contexts Utilise research into data aesthetics to push the boundaries of data visualisation, enriching the way people engage with data Master the computing and mathematical foundations necessary to leverage cutting-edge technologies to synthesise insights from data using agile methodologies Work with real businesses on real problems through challenge-led briefs and have the chance to realise and launch your own products and services Engage in multidisciplinary practice with students across the University, while having the flexibility to choose a specialist focus

Course Details - 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: Optional placement year During this year, you'll take on a programme of supervised work experience under the direction of either an employer or a business start-up incubation scheme. You'll engage in a minimum of 30 weeks (1,050 hours) of professional practice and be supported by online study material. While it will be your responsibility to seek, apply to and secure a suitable position, professional services staff will be on hand to help. Throughout the year, you'll also be mentored by academic staff, who'll help support your personal development. 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 Entrepreneurial Practice 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.

Course Details – 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.

Course Details – Professional Bodies

Professional Bodies are not listed for this Course.

How to Apply

26 January 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: I1DC

Institution code: F33

Campus Name: Penryn Campus

Campus code:

Points of Entry

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry (Year 2 and Beyond)

Entry Requirements for Advanced Entry are not listed for this Course.

International applicants

Standard Qualification Requirements

We welcome A Levels in a wide range of subjects, especially in those relevant to the course for which you apply.

A typical offer is between 104 and 120 UCAS points, primarily from Level 3 equivalent qualifications, such as A levels, a BTEC Extended Diploma or a Foundation Diploma, or current, relevant experience. Grade 4 (or C) or above in GCSE English Language, or equivalent, is a minimum language requirement for all applicants. Due to the creative nature of our courses, you will be considered on your own individual merit and potential to succeed on your chosen course. Please contact the Applicant Services team for advice if you are predicted UCAS points below this range, or if you have questions about the qualifications or experience you have.