Computer Science with Artificial Intelligence MSci/BSc (Hons)
UCAS Code: BSc: G401
UCAS Code: MSci: G402
International Code: BSc: EECU154
International Code: MSci: EECU155
Coventry University (Coventry)
BSc:3 years full-time4 years sandwich
MSci:4 years full-time5 years sandwich
We are reviewing this course for 2023-24 entry and the validated module information will be added shortly. Please keep checking back on this course page to see our latest updates.
Study level: Undergraduate
The Computer Science with Artificial Intelligence (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 Artificial Intelligence (AI) course aims to equip 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 experience2 as you apply real-world, software development practices within teams of your peers, preparing you for your AI specialist career after graduation.
Global ReadyAn international outlook, with global opportunities
Teaching excellenceTaught by lecturers who are experts in their field
EmployabilityCareer ready graduates, with the skills to succeed
Why you should study this course
- 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 placement2.
- 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).
How you'll learn
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
- Interactive labs
- Interactive workshops
- Online activities
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.
Teaching contact hours
We understand that everyone learns differently, so each of our courses will consist of structured teaching sessions, which can include:
- On campus lectures, seminars and workshops
- Group work
- Self-directed learning
- Work placement opportunities.
If you would like more information, you can request information about teaching hours.
Part of university life is undertaking self-directed learning. During a typical week you will have time that allows you to work independently to apply the skills and knowledge you have learnt in taught or facilitated sessions to your projects or assignment briefs. This self-directed learning allows you to use your research skills, consolidate your knowledge or undertake collaborative group work.
As an innovative and enterprising institution, the University may seek to utilise emerging technologies within the student experience. For all courses (whether on-campus, blended, or distance learning), the University may deliver certain contact hours and assessments via online technologies and methods.
This course will be assessed using a variety of methods which will vary depending upon the module.
Assessment methods include:
- Individual coursework
- Group coursework
- Core assessments (these are pass / fail and can be attempted multiple times)
The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes.
International experience opportunities
The degree offers a range of international experiences including:
- COIL projects – online internationalised learning, working with university students based in other countries.
- Fieldutrips – short trips of one or two weeks to visit other countries for cultural and learning experiences.
- Study Abroad optional extra year – live and study abroad2 for a year between your second and final years.
Please note that all international experience opportunities may be subject to additional costs, competitive application, availability and meeting applicable visa and travel requirements are therefore not guaranteed2.
Typical offer for 2023 entry.
|Requirement||What we're looking for|
|A level||BSc (Hons): BBB
|GCSE||BSc (Hons): Five GCSEs at grade 4 / C or above to include English and Mathematics.
MSci: Five GCSEs at grade 4 / C or above to include English and Mathematics.
|BTEC||BSc (Hons): DDM
|IB Diploma||BSc (Hons): 29
We recognise a breadth of qualifications, speak to one of our advisers today to find out how we can help you.
Select your region to find detailed information about entry requirements:
You can view our full list of country specific entry requirements on our Entry requirements page.
If you do not have the typical entry requirements, you may want to consider studying this course with an international foundation year. Upon successful completion our International Foundation Year - Computing will provide you with the knowledge and skills you need to progress onto this undergraduate degree.
Alternatively, visit our International hub for further advice and guidance on finding in-country agents and representatives, joining our in-country events and how to apply.
English language requirements
- IELTS: 6.0 overall, with no component lower than 5.5. (BSc Hons)
- IELTS: 6.5 overall, with no component lower than 6.0 (MSci)
If you don't meet the English language requirements, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.
For more information on our approved English language tests visit our English language requirements page.
Fees and funding
|Student||Full time||Part time|
|UK||TBC per year||Not available|
|International||TBC per year||Not available|
If you choose to do a work placement2, you should consider travel and living costs to cover this. There is also a tuition fee3 of £1,250 that will cover your academic support throughout your placement year.
For advice and guidance on tuition fees and student loans visit our Undergraduate Finance page and see The University’s Tuition Fee and Refund Terms and Conditions.
We offer a range of International scholarships to students all over the world. For more information, visit our International Scholarships page.
Tuition fees cover the cost of your teaching, assessments, facilities and support services. There may be additional costs not covered by this fee such as accommodation and living costs, recommended reading books, stationery, printing and re-assessments should you need them. Find out what's included in your tuition costs.
The School of Computing, Mathematics and Data Science is based in the Engineering and Computing Building, and the attached Beatrice Shilling Building. Both buildings are high-specification learning environments which benefit from extensive social learning facilities, well-appointed laboratories, lecturing facilities and classrooms, facilitating our innovative teaching methods across a diverse suite of undergraduate and postgraduate courses4.
The Cisco lab is used for working with general networking and towards accreditation by Cisco. Optional modules allow students to work in the lab to develop skills in preparation for the Cisco certification exam.
Our virtual labs provide a cutting-edge environment to create entire virtual networks, complete with services, users and even attackers. Students can access this environment from anywhere on or off campus.
Games Technology lab
This lab contains high-end gaming PCs with the capacity to run industry standard games engines and programming environments. It also supports Virtual Reality (VR) game development.
Careers and opportunities
The Computer Science with AI degree will equip you with the knowledge, technical skills, and professional skills for a career in the computing industry as an AI specialist. On successful completion of the degree, you will be able to:
- Program. You will create working solutions to a variety of computational and real-world problems using an appropriate programming language (or languages) for the task.
- Think computationally. You will be able to create, develop and evaluate algorithms, and measure and optimise algorithm complexity.
- Develop software. You will develop a product from the initial stage of requirements all the way through development to its final stages of testing and evaluation.
- Solve problems in a range of key application areas including web and app development, machine learning, data science and artificial intelligence.
- Work professionally. You will understand professional practice, both technical, and social, ethical and legal responsibilities. You will be equipped with a range of graduate level attributes including thinking critically, contributing confidently, communicating effectively, and collaborating collegiately.
Computer Science is changing the world, and AI is a key part of this. Technologies produced by computer scientists now support and enhance all areas of our modern lives, from e-commerce, through social networking, to smart cars. These areas increasingly use AI to gather, interpret and learn from data to produce intelligent solutions. The Computer Science with AI degree teaches the required skills, and, equipped with them, you’ll be able to pursue an AI specialist career in the computing industry.
The Computer Science with AI degree includes an optional MSci year. Alternatively, the BSc (Hons) degree serves as a basis for a wide range of standalone master's degrees, both at Coventry University, nationally and internationally. It is also possible to take a PhD.
How to apply
Full-time students applying to start in September 2023 can apply for this course through UCAS from 6 September 2022.
Part-time students should apply directly to the university. Read our application pages to find out your next steps to apply.
If you'd like further support or more information about your course get in touch with us today.
Full-time students applying to start in September 2023 should apply directly to the university. Applications are due to be open in June 2022, so please return to this page to fill out your application.How to apply
For further support for international applicants applying for an undergraduate degree view our International hub.
You can also download our International guide which contains lots of useful information about our courses, accommodation and tips for travel.
Get in touch with us today for further advice and guidance.
The majority of our courses have been formally recognised by professional bodies, which means the courses have been reviewed and tested to ensure they reach a set standard. In some instances, studying on an accredited course can give you additional benefits such as exemptions from professional exams (subject to availability, fees may apply). Accreditations, partnerships, exemptions and memberships shall be renewed in accordance with the relevant bodies’ standard review process and subject to the university maintaining the same high standards of course delivery.
2UK 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.
The University will charge the tuition fees that are stated in the above table for the first Academic Year of study. The University will review tuition fees each year. For Home Students, if Parliament permit an increase in tuition fees, the University may increase fees for each subsequent year of study in line with any such changes. Note that any increase is expected to be in line with inflation.
For International Students, we may increase fees each year but such increases will be no more than 5% above inflation. If you defer your course start date or have to extend your studies beyond the normal duration of the course (e.g. to repeat a year or resit examinations) the University reserves the right to charge you fees at a higher rate and/or in accordance with any legislative changes during the additional period of study.
Facilities are subject to availability. Due to the ongoing restrictions relating to COVID-19, some facilities (including some teaching and learning spaces) may vary from those advertised and may have reduced availability or restrictions on their use.
By accepting your offer of a place and enrolling with us, a Student Contract will be formed between you and the university. The 2022/23 Contract is currently being updated so please revisit this page before submitting your application. The Contract details your rights and the obligations you will be bound by during your time as a student and contains the obligations that the university will owe to you. You should read the Contract before you accept an offer of a place and before you enrol at the university.