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Informatics (Top-up)

Entry requirements


GCSE/National 4/National 5

5 GCSEs at grade 4 / C or above to include English and Mathematics.

About this course


Course option

1year

Full-time | 2024

Subject

Mathematical modelling

This Informatics course enables you to ‘top-up’ your existing qualifications – an undergraduate level certificate, diploma or equivalent in computing or related fields – to the internationally recognised ‘honours degree’ classification. You can study the most recent developments in today’s web-intensive environment, such as cloud computing, rapid application development and cyber security. We aim to give you an understanding of the social, legal and ethical aspects of the modern computing environment.

We focus on developing your technical skills, enabling you to practise and experience programming, virtualisation and cloud technologies within our specialist and general labs. You should also develop key competencies in critical analysis, application of software development, communication with technical and non-technical audiences, intercultural competences and digital literacy.

Since its introduction, this programme has undergone a number of improvements and modifications to reflect the most recent developments in Informatics. In the latest modification, the overall structure of the course addresses the most recent developments in today’s web-intensive environment such as cloud computing, rapid application development and cyber security, in order to provide an excellent learning experience and relevance to the subject title.

The programme also addresses the social and ethical aspects of the modern multi-cultural society. Upon successful completion, this course will give you the leading edge skills needed for 21st Century Informatics.

Modules

Your main study themes are:

* Cloud computing
* Application development
* Cyber security

For details about individual modules please visit the course page on our website.

Tuition fees

Select where you currently live to see what you'll pay:

Channel Islands
£9,250
per year
England
£9,250
per year
Northern Ireland
£9,250
per year
Republic of Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

Coventry University

Department:

School of Computing, Mathematics and Data Science

Read full university profile

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.

75%
Mathematical modelling

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.

Mathematics

Teaching and learning

63%
Staff make the subject interesting
76%
Staff are good at explaining things
71%
Ideas and concepts are explored in-depth
71%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

80%
Library resources
76%
IT resources
76%
Course specific equipment and facilities
67%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

93%
UK students
7%
International students
63%
Male students
37%
Female students
86%
2:1 or above
24%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

A
E
C

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.

Mathematics

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.

£19,000
low
Average annual salary
100%
high
Employed or in further education
66%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

60%
Business, finance and related associate professionals
10%
Teaching and educational professionals
8%
Sales, marketing and related associate professionals

Want to feel needed? This is one of the most flexible degrees of all and with so much of modern work being based on data, there are options everywhere for maths graduates. With all that training in handling figures, it's hardly surprising that a lot of maths graduates go into well-paid jobs in the IT or finance industries, and last year, a maths graduate in London could expect a very respectable average starting salary of £27k. And we're always short of teachers in maths, so that is an excellent option for anyone wanting to help the next generation. And if you want a research job, you'll want a doctorate — and a really good maths doctorate will get you all sorts of interest from academia and finance — and might secure some of the highest salaries going for new leavers from university.

What about your long term prospects?

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

Mathematics

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

£26k

£26k

£32k

£32k

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 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