Data Science and Visualisation
Bangor University
UCAS Code: H114 | Bachelor of Science (with Honours) - BSc (Hons)
Bangor University
UCAS Code: H114 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
Including a Science/Maths/ Computing/IT subject. General Studies and Key Skills are not accepted. (Please note: other subject areas may be considered on a case by case basis.)
Pass required in a relevant subject (Science/Maths/Computing/IT). Other subject areas may be considered on a case by case basis.
Points can include a relevant Extended Project (EPQ) but must include a minimum 2 full A-levels, or equivalent. Please contact us for more information.
Pass required.
OCR Cambridge Technical Extended Diploma
In a relevant subject.
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
In a relevant subject.
Minimum of 5 Scottish Highers - some subject specific grades/Advanced Highers may be required.
Relevant T Level qualifications are considered on a case by case basis.
UCAS Tariff
We will accept this qualification in conjunction with other level 3 qualifications.
About this course
This degree provides a firm footing in data handling, analysis and communication of findings and modern research-driven machine learning techniques. This degree bridges the gap between the technical analysis of data, and the wider world. Data is a wonderful thing, but unfortunately nothing can change unless the insights cannot be conveyed to the wider world. The course focuses on how to best craft and present the arguments, explanations, and insight found in data to those that need to act.
Visualisation explores the tools to unlock the data we so readily generate. Today’s world runs on algorithms and data, interpreting that data is at the heart of this degree programme. The use of data is becoming known as the Industrial Revolution 4.0, and industries are rushing to realise the potential that Data Science and Visualisation can offer. We’ve designed this course to provide the mathematical, technical and theoretical knowledge and skills to enable you to work on the cutting edge technology needed for this new data frontier, with a focus on communication this to others. This degree is focused on the visual presentation and interpretation alongside the methods that can be used to unlock the deeper meaning in data. Graduates are ideally suited to take up careers in data and financial analysis, business intelligence, data support or closely related positions.
This degree provides an inventive combination of computer science fundamentals, programming, data analysis, critical reasoning and visualisation. The programme produces graduates that are proficient in using data to derive insight using up-to-the-minute methods and approaches.
In addition, the programme places a premium on responsible use of data. It champions the professional values needed when using the immense power of modern analytics, and an appreciation of relevant ethical, legal and social issues is embedded throughout. You will also be equipped with the transferable skills needed for any knowledge economy position; teamwork, communication, self-management, independence and discipline.
‘Placement Year’ and 'International Experience Year’ options are available for this course. You will have the opportunity to fully consider these options when you have started your course at Bangor and can make an application for a transfer onto such a pathway at the appropriate time. You can find more information about these options on our website and if you have any questions, please get in touch.
If you don’t have the required qualifications for this degree-level course or are looking to re-enter education after time away from study, then a Foundation Year Programme might be the right choice for you. Please see Computer Science (with Foundation Year) G40F.
Modules
For details of the modular structure, please see the course description on Bangor University's website.
Tuition fees
Select where you currently live to see what you'll pay:
The Uni
Bangor University
School of Computer Science and Engineering
What students say
We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.
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
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
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.
Top job areas of graduates
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.
Computer science
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£22k
£32k
£35k
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.
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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.
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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
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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?
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