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Computer Science with Artificial Intelligence

Entry requirements


A level

B,B,B

to include one from Mathematics, Physics, Chemistry, Further Mathematics, Computer Science, Computing or Design Technology. Excludes General Studies.

The Access to HE Diploma to include 30 Level 3 credits in either Mathematics, Physics, Computer Science or Statistics. Plus GCSE English Language and Mathematics at grade 4 / C or above.

GCSE/National 4/National 5

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

International Baccalaureate Diploma Programme

29

to include one from Mathematics, Physics, Chemistry, Design Technology or IT at a Higher Level.

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

DDM

in IT or a technical subject.

Scottish Higher

B,B,C,C,C

To include Physics, Chemistry or Computing Science at Advanced Higher.

UCAS Tariff

120

[1] 4 qualifications for tariff points allowed (excludes general studies) [2] Must include 40 tariff points in one of the following subject areas: Mathematics, Physics, Chemistry, Further Mathematics, Computer Science, Computing or Design Technology [3] May also include AS level and EPQ

About this course


This course has alternative study modes. Contact the university to find out how the information below might vary.

Course option

3years

Full-time | 2024

Other options

4 years | Sandwich | 2024

Subjects

Artificial intelligence

Computer science

The Computer Science with AI course at Coventry University covers the practical skills and theoretical knowledge you need to be successful as an AI specialist in this fast-paced, ever-changing industry.

The Computer Science with AI course equips you with all the knowledge and skills you need to become an AI specialist in the computing industry. You will:

* Explore artificial intelligence and its relationship to machine learning, parallel programming, and data science, and learn how these areas drive innovation and change in the domain of computer science.

* Master the practical skills and theoretical knowledge to develop software solutions which address demanding user expectations and complex customer requirements.

* Gain industry-relevant experience as you apply real-world, software development practices within teams of your peers, preparing you for your AI specialist career after graduation.

**Key Course Benefits**
* Activity-led learning helps you consolidate what you’re taught through practical application of everything covered in lectures.

* Opportunity to spend a year on industrial placement*.

* Strong, professional skills focus.

* Hybrid, online, and asynchronous learning to support students with different needs across a range of locations.

* Regular free-to-attend guest lecturers from current practitioners, which, in previous years, have included senior professors from Sheffield, Lincoln and Birmingham universities and the European Bioinformatics Centre Cambridge (subject to availability).

*UK and international opportunities
Please note that we are unable to guarantee any UK or International opportunities (whether required or optional) such as internships, work experience, field trips, conferences, placements or study abroad opportunities and that all such opportunities may be subject to additional costs (which could include, but is not limited to, equipment, materials, bench fees, studio or facilities hire, travel, accommodation and visas), competitive application, availability and/or meeting any applicable travel COVID and visa requirements. To ensure that you fully understand the visa requirements, please contact the International Office.

Modules

This course has a common first year . The common first year enables you to work alongside students doing similar courses to you, to widen your knowledge and exposure to other subject areas and professions. You will have the opportunity to collaborate with other students, so you can share your insights and experience which will help you to develop and learn. 

If you discover an interest in a specific subject you have studied, upon successful completion of your first year, you could swap degrees with another course in your common first year (subject to meeting progression requirements).

Common first-year courses

Information Technology Management BSc (Hons)
Interactive Media and Web Technologies BSc (Hons)
Software Engineering BSc (Hons)

Year Two
In Year two, you will develop more advanced knowledge and skills in relation artificial intelligence, theory of computation, software engineering, amongst others.

Placement Year

There’s no better way to find out what you love doing than trying it out for yourself, which is why a work placement* can often be beneficial. Work placements usually occur between your second and final year of study. They’re a great way to help you explore your potential career path and gain valuable work experience, whilst developing transferable skills for the future. 

If you choose to do a work placement year, you will pay a reduced tuition fee* of £1,250. For more information, please go to the fees and funding section. During this time you will receive guidance from your employer or partner institution, along with your assigned academic mentor who will ensure you have the support you need to complete your placement. 

Final Year
In Year three, you will develop more advanced knowledge and skills to do with security, machine learning, group project discovery, amongst others.

If you meet the criteria, you could choose to take an additional fourth year master's option (subject to additional fees – please refer to the Tuition Fees section for further information), which will deepen your knowledge and expertise. The MSci year aims to consolidate and strengthen the skills you’ve developed over the course of your first three years of study. Building on your existing knowledge, you’ll explore a series of highly advanced subjects in the field of Computer Science with AI which lie beyond the scope of undergraduate study, from Computer Vision to Web Applications and AI, equipping you to undertake employment or postgraduate research at the leading edge of digital technology.

We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated. Before accepting any offers, please check the website for the most up to date course content. For full module details please check the course page on the Coventry University website.

*For further information please check the course page on the Coventry University website

Assessment methods

Our teaching is active, applied, social and inclusive. We work interactively to address your needs as an individual and support you to maximise your outcomes. Learning is facilitated through a variety of methods which can include:

Lectures and lectorials
Seminars
Interactive labs
Interactive workshops
Online activities
Group work

As a student, you may engage in both class and online activities and discussions. There will be a range of online materials, accessible at any time, through our online platform, currently Aula. You will participate in additional guided reading and self-directed study to reinforce the learning gained from timetabled sessions. Formative feedback will be used to prepare you for assessment and support your progress towards success at module, year, and ultimately degree levels.

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.

74%
Computer science

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.

Artificial intelligence

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?

45%
UK students
55%
International students
79%
Male students
21%
Female students
84%
2:1 or above
22%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

B
D
B

Computer science

Teaching and learning

74%
Staff make the subject interesting
83%
Staff are good at explaining things
79%
Ideas and concepts are explored in-depth
85%
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

85%
Library resources
85%
IT resources
85%
Course specific equipment and facilities
62%
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?

54%
UK students
46%
International students
87%
Male students
13%
Female students
84%
2:1 or above
20%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

C
B
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.

Artificial intelligence

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.

£25,000
med
Average annual salary
96%
high
Employed or in further education

Top job areas of graduates

56%
Information technology and telecommunications professionals
12%
Information technology technicians
5%
Sales assistants and retail cashiers

Artificial intelligence is a very specialist subject taken by less than 100 people a year at the moment, so there is little reliable information available on graduate prospects - bear that in mind when you review the stats above. Graduates taking this type of subject are more likely than other computing graduates to go into further research. However, if you want to find out more specifically about the potential graduate outcomes of a specific course, it's a good idea to go on open days and talk to tutors about what previous graduates have gone on to do.

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.

£25,000
med
Average annual salary
96%
med
Employed or in further education
72%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

56%
Information technology and telecommunications professionals
12%
Information technology technicians
5%
Business, research and administrative professionals

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.

Artificial intelligence

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

£25k

£25k

£29k

£29k

£33k

£33k

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.

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.

£25k

£25k

£29k

£29k

£33k

£33k

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 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.

Have a question about this info? Learn more here

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.

Have a question about this info? Learn more here

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