Computer Science with Artificial Intelligence (with foundation year)
Coventry University
UCAS Code: GADF | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
GCSE/National 4/National 5
5 GCSEs at A-C/4-9 including Maths and English.
UCAS Tariff
5 GCSEs at A-C/4-9 including Maths and English, and at least one A2 level or a BTEC equivalent qualification.
About this course
The foundation year of this Coventry University degree will be delivered from our CU Coventry campus. Course delivery from year 1 of the degree onwards will be from Coventry University campus.
This course aims to provide you with a solid grounding for building a career as an AI specialist in this fast-paced, ever-changing industry.
The foundation year aims to provide you with a solid grounding in mathematical principles and an understanding of the core technology associated with the use and application of computer systems. Professional and academic skills are integrated across all modules, including information finding and handling, problem solving, and the communication of outcomes. Students who successfully complete their foundation year will then progress onto the Computer Science with Artificial Intelligence BSc (Hons) degree within Coventry University’s School of Computing, Mathematics and Data Science.
By studying the degree 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
• Develop practical skills and theoretical knowledge to create 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 benefits of the degree**
• Activity-led learning helps you consolidate what you’re taught through practical application of everything covered in lectures
• 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)
See our website for further details.
Modules
**Foundation year modules**
* Fundamental Pure Mathematics
* Fundamental Applied Mathematics
* Data Visualisation
* Software and Databases
On successfully passing your foundation year you will progress to year 1 of the degree. The common first year of the degree 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.
**Year One Modules**
* Programming: Concepts and Algorithms
* Computer Systems
* Working with Data
* Mathematical Skills for Computing Professionals
* Programming: Professional Practice
* Integrative Project Module
**Year Two** In year two, you will develop more advanced knowledge and skills in relation artificial intelligence, theory of computation, software engineering, and advanced algorithms 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, security, artificial neural networks, robots and intelligent networks, are just some of the areas where you will further your knowledge and skills.
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 details 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:
The Uni
CU Coventry
School of Computing, Mathematics and Data Science
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?
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Artificial intelligence
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Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Computer science
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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.
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.
Top job areas of graduates
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.
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.
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
£29k
£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
£29k
£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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Post-six month graduation stats:
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