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Data Science and Artificial Intelligence

Entry requirements


To include 1 in a Science/Maths/Computing/IT, excluding General Studies.

Pass required in a relevant subject.

Pass required.

OCR Cambridge Technical Extended Diploma

MMM-DDM

In a relevant subject.

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)

MMM-DDM

In a relevant subject.

Minimum of 5 Scottish Highers - some subject specific grades/Advanced Highers may be required.

T Level qualifications are accepted on a case by case basis.

UCAS Tariff

96-128

Offers are tariff based, 96 - 128 tariff points from a Level 3 qualification* e.g. • A Levels (including 1 in a Science/Maths/Computing/IT, excluding General Studies) • BTEC National/Extended Diploma and Cambridge Technical Extended Diploma in relevant subject (as above): MMM - DDM • City & Guilds Advanced Technical / Extended Diploma: case by case • International Baccalaureate Diploma is accepted • Access to HE in a relevant subject as listed above** • Welsh Baccalaureate is accepted. • Key Skills are not accepted **Other subject areas may be considered on a case by case basis. International Candidates: school leaving qualifications and college diplomas are accepted from countries worldwide (subject to minimum English Language requirements), details at: www.bangor.ac.uk/international/applying/entryrequirements We also welcome applications from mature applicants. *For full details go to our website and for a full list of accepted Level 3 qualifications, go to www.ucas.com.

We will accept this qualification in conjunction with other level 3 qualifications.

About this course


Course option

3.0years

Full-time | 2022

Subject

Machine learning

This degree provides a firm footing in data handling, analysis and communication of findings and modern research-driven machine learning techniques. You will learn through an inventive combination of computer science fundamentals, programming, data analysis, critical reasoning and machine learning. Graduates of this programme are proficient in using data to derive insight using up-to-the-minute methods and algorithms. We place a premium on the responsible use of data and an appreciation of relevant ethical, legal and social issues is embedded throughout.

Everything in today’s world runs on algorithms and data, from making decisions about which medical treatments are likely to succeed to how much someone pays for car insurance. ?

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 Artificial Intelligence 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. ?This degree is focused on the analysis and 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 machine learning. The programme produces graduates that are proficient in using data to derive insight using up-to-the-minute methods and algorithms.?

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:

Channel Islands
£9,000
per year
England
£9,000
per year
Northern Ireland
£9,000
per year
Republic of Ireland
£9,000
per year
Scotland
£9,000
per year
Wales
£9,000
per year

The Uni


Course location:

Bangor University

Department:

School of Computer Science and Electronic Engineering

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.

Machine learning

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
83%
Male students
17%
Female students
68%
2:1 or above
20%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

C
E
D

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.

Computing

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.

£21,000
med
Average annual salary
89%
low
Employed or in further education
86%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

72%
Information technology and telecommunications professionals
13%
Business, finance and related associate professionals
3%
Business, research and administrative professionals

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.

£24k

£24k

£29k

£29k

£29k

£29k

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 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.

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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?

Have a question about this info? Learn more here