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Data Science

Entry requirements


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

We may consider a standalone AS in a relevant subject, if it is taken along with other A Levels and if an A Level has not been taken in the same subject. However, you will not be disadvantaged if you do not have a standalone AS subject as we will not ordinarily use them in our offers.

60 credits (with a minimum of 45 credits achieved at level 3) in a relevant subject.

A typical offer is between 104 and 120 UCAS points

Acceptable when combined with other qualifications

International Baccalaureate Diploma Programme

24

A typical offer is between 104 and 120 UCAS points

A typical offer is between 104 and 120 UCAS points

Acceptable when combined with other qualifications

Acceptable when combined with other qualifications

Acceptable when combined with other qualifications

A typical offer is between 104 and 120 UCAS points

Acceptable when combined with other qualifications

A typical offer is between 104 and 120 UCAS points

A typical offer is between 104 and 120 UCAS points

UCAS Tariff

104-120

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.

a minimum of 40 UCAS tariff points, when combined with a minimum of 64 UCAS tariff points from the Supporting Qualifications

You may also need to…

Attend an interview

About this course


Course option

3.0years

Full-time | 2022

Subject

Computer science

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 three-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

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:
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.

Assessment methods

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.

The Uni


Course location:

Penryn Campus

Department:

The Games Academy

Read full university profile

What students say


How do students rate their degree experience?

The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.

Computer science

Sorry, no information to show

This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.


Who studies this subject and how do they get on?

88%
UK students
12%
International students
77%
Male students
23%
Female students
54%
2:1 or above
12%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

B
C
E

After graduation


The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.

Computer science

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

100%
high
Employed or in further education

Top job areas of graduates

30%
Artistic, literary and media occupations
26%
Information technology and telecommunications professionals
13%
Sales assistants and retail cashiers

This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.

What about your long term prospects?

Looking further ahead, below is a rough guide for what graduates went on to earn.

Computing

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£13k

£13k

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.

Explore these similar courses...

Higher entry requirements
University of Leicester
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4.0 years | Full-time | 2022
Lower entry requirements
Birmingham City University
Cyber Security with Foundation Year
Bachelor of Science (with Honours) - BSc (Hons)
4.0 years | Full-time | 2022
Nearby University
University of Plymouth
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Bachelor of Science (with Honours) - BSc (Hons)
3.0 years | Full-time | 2022
Same University
Falmouth University
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Bachelor of Science (with Honours) - BSc (Hons)
4.0 years | Full-time | 2022

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This is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.

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This is the percentage of applicants to this course who received an offer last year, through Ucas.

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This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Course location and department:

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Teaching Excellence Framework (TEF):

We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the TEF.

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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).

This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.

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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.

You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.

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Post-six month graduation stats:

This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.

It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.

Have a question about this info? Learn more here

Graduate field commentary:

The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show

Have a question about this info? Learn more here

The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.

While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?

Have a question about this info? Learn more here