Computer Science with Artificial Intelligence BSc
3-4 years
Artificial Intelligence is transforming work, health, entertainment and many other aspects of our lives. This course provides a broad range of technology, software and computing skills and real-world experience in Artificial Intelligence.
Start date:
Course information
Typical offer ABB
UK fee £9,535
UCAS codes G4G7, G47G
International fee £24,500
Institute code L34
Taught by Computing
Course description
Course description
There is no doubt that Artificial Intelligence (AI) will have an enormous impact on our lives over the next five, ten or even fifty years. But how will we go from AI being an existing technology that is being used in some areas, to fulfilling its full potential to transform our lives for the better? This will be achieved by people who can:
- Develop more powerful AI technologies and techniques.
- Integrate AI into tools and technologies .
- Make AI accessible to people from every culture, country and educational background.
- Ensure that AI is used in a safe and ethical way to benefit us all.
Our course in Computer Science with Artificial Intelligence will provide you with the necessary skills, experience and passion to do any of these things, depending on your interests and career plans.
Learning how to use AI, or understanding how AI works is just the beginning. On this course you will learn how to understand the needs of users and design systems to meet these needs. You’ll learn to develop enterprise-scale systems to bring the power of technology and AI to the widest range of people. You’ll be taught by world-leading experts in AI who are, today, building AI systems that solve real-world problems.
This course will not only prepare you to work in AI and Data Science, it will also equip you with a broad range of transferable skills and exceptional experience in software development, computing, user interfaces and cloud computing, which will allow you to succeed in any industry.
Entry requirements
Entry requirements
- A/AS-levels: ABB. Two AS-levels considered in place of one A-level. General Studies accepted.
- EPQ with A-levels: BBB + EPQ at grade B.
- GCSE: Grade 5/B in Maths.
- Access to HE Diploma: Pass relevant diploma with a minimum of 45 credits at level 3, 30 of which must be at Distinction.
- International Baccalaureate: Pass Diploma with 30. Minimum of 4 in HL Maths, or 5 in SL Maths, or 6 in Maths Studies required if grade 5/B not held at GCSE.
- BTEC Nationals: Extended Diploma with D*D*D*. BTEC must be in IT, Science or Engineering.
- T Levels: Distinction in either: Digital Production, Design and Development (with an Occupational Specialism in Software development technician), or Digital Business Services
Other official national and international qualifications considered from across the world. You can review some of the qualifications we accept on our countries page and English Language equivalencies.
If your qualification or country is not listed, please contact us for more information, including the name and result of the qualification you have studied.
If you do not meet the entry requirements for this course, you can apply for Computer Science with Foundation Year BSc.
Second year entry may be possible with suitable qualifications.
Contextual offers
The University of Leicester is committed to providing equitable opportunities for all applicants from all backgrounds. We make contextual offers to support students who may be impacted by the area they live in, their personal circumstances or who have completed one of our progression programmes. These offers are usually one or two grades lower than the standard entry requirements. To qualify for a contextual offer, you must apply for an eligible course and meet specific criteria – check if you’re eligible.
Selection Process
When considering your application, we will look for evidence that you will be able to fulfil the objectives of the course and achieve the standards required. We will take into account a range of factors including previous exam results.
Applicants are not normally interviewed, but an additional assessment test may be required. If you receive an offer you will be invited to visit the Department of Informatics.
English Language Requirements
IELTS 6.0 or equivalent. If your first language is not English, you may need to provide evidence of your English language ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard.
International Qualifications
Find your country in this list to check equivalent qualifications, scholarships and additional requirements.
Countries ListFees and funding
Fees and funding
UK Students
Starting in 2025
The tuition fees that will be payable by you to the University for the 2025/26 academic year will be £9,535
- £9,535 in your first year. Tuition fees may increase in subsequent years in line with inflation, subject to government regulations. The inflation rate used will be the Retail Price Index excluding mortgage payments (RPIX)
- Year in Industry: your fee will be £1,907 for that year
Find out more about scholarships and funding.
International Students
Starting in 2025
- £24,500 per year
- Year in Industry: £3,675, which is 15% of the full-time tuition fee
If you are resident outside the UK and the Republic of Ireland, you will need to pay a deposit of £3,000 to secure your place. This will be subtracted from your total tuition fee.
If you are an EU national with settled or pre-settled status under the EU settlement scheme, you may qualify for the UK fee (subject to criteria).
Scholarship
Find out more about scholarships and funding.
Careers and employability
Careers and employability
Our course in Computer Science with Artificial Intelligence is designed in collaboration with our industrial partners, to provide the technical and transferrable skills that are so highly in demand within the UK and worldwide.
There is a high demand for skills in applying AI in a wealth of industries. From this course you will not only learn how to apply AI, but also how to develop and integrate AI into our lives and work. These skills will make you in demand by a wide range of industry sectors.
Employability and transferrable skills are embedded throughout our degree. For example, the award winning Leicester Award, and Leicester Award Gold programmes help you to identify and build your strengths and use these to gain employment experience. Our Careers and Employability Team ensures that our course continues to provide the skills that employers need and guides students towards achieving their career goals.
Get career-ready at Leicester with guidance from our award-winning Careers and Employability Service. We're here to give you a lifetime offer of support, even after graduation. Our team of specialist careers advisers and mentors will help you every step of the way. From supporting you with CVs and interviews, to volunteering opportunities and placements, we're here to help you reach your professional goals.
Facilities
Students have access to our state-of-the-art computer laboratories, based in the Percy Gee building and the David Wilson Library. The Percy Gee lab is exclusive to Computing and Mathematical Science students and is accessible 24/7. The Student Study and Social Space in the Ken Edwards Building is for students to relax or study during free time on campus.
Course structure
Year 1
Year 1
In your first .year you will gain the knowledge and skills in computing, software and mathematics that will prepare you to study the wide range of core and optional modules on this programme. You will also gain key transferrable skills such as communication and teamwork that will be vital as you progress through your degree and beyond .
Modules
- Computing Fundamentals
- Programming Fundamentals
- Mathematics Fundamentals
- Computer Architecture
- Introduction to Object Oriented Programming
- Requirements Engineering and Professional Practice
- Algorithms, Data Structures and Advanced Programming
- Business and Financial Computing
Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.
Year 2
Year 2
The second year is where you start to take on big challenges. You will gain the skills to work with others on realistic projects, including technical skills to build software systems, and management and communication skills to work as a team to tackle bigger challenges. In your second year you will dive into Artificial Intelligence, setting you apart from other Computer Science students.
Core modules
- Software Architecture and System Development I
- Project Management
- Operating Systems and Networks
- Databases and Domain Modelling
- Software Architecture and System Development - II
- Software Engineering Group Project
- Foundations of Artificial Intelligence
Option modules
Choose one option module from:
Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.
Year in Industry (optional)
Year in Industry (optional)
If you want to, you can spend your third year working in an industrial placement. Alternatively, you can opt to continue studying at the University and complete your degree in three years.
An industrial placement is normally a paid company position, more than offsetting the additional cost of the extra year. It is a fantastic opportunity to gain experience of a working environment. You must apply for your placement yourself, but we will help you with the process.
During your placement you will be visited by a member of staff; when you return to the University you may give a presentation of your work experience. You will be provided with a log book to document your placement and will write a final report detailing your work, which will be assessed as part of your degree.
We provide excellent careers support, and our Industrial Advisory Board assists us in keeping our degrees fit for industrial needs. A year in industry is an excellent opportunity to learn more about the type of profession that you can choose after you graduate, and can also point you towards postgraduate studies that may help you strengthen the profile that you have identified for your career.
Your placement effectively begins in year two when you will be briefed in writing a CV, interview techniques and the procedures that you need to follow to obtain a placement. In addition, a list of potential industrial partners who have taken students in past years will normally be provided.
A year in industry still incurs a tuition fee, but this is much lower than for a normal year at Leicester. See the Fees and Funding tab of this page for details.
Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.
Final Year
Final Year
In your final year you will experience a wide range of options, including many AI modules as well as others, based on our world-leading research expertise. Our AI modules not only build upon the fundamentals you learned in the second year to increase your expertise, they also provide you with opportunities to apply your learning to different challenges, such as Software Engineering and Space.
Core modules
- Computer Science Project
- Computers, Society and Professionalism
- Computational Intelligence and Software Engineering
Option modules
Choose one option module from:
- Software Measurement and Quality Assurance
- Mobile and Web Applications
- C++ Programming
- Internet and Cloud Computing
Then choose two option modules from:
- Analysis and Design of Algorithms
- Big Data and Predictive Analytics
- Foundations of Cybersecurity
- Technology Management
- Functional Programming
- Advanced AI
- Data Science and Visualisation
- AI for Space
Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.
Why Leicester
Artificial Intelligence is most interesting when combined with other disciplines such as healthcare, space and climate.
The close collaboration between our School and researchers throughout the university allow us to provide modules and projects in which AI is addressing real-world issues. We can, for example, teach AI in Space because of our specialist research in this area.
You will have 24-hour access to general-purpose labs, containing fully-networked Windows/Linux dual-boot PCs, and wireless access for laptops.
Teaching and learning
Teaching includes lectures and lab classes together with tutorials and small group student support hours. Lectures include innovative software demonstrations and videos as well as more traditional slide presentations alongside worked examples.
State-of-the-art web-based materials, automated feedback and marking systems, on-line tests and electronic coursework submission all provide an excellent modern learning environment. Apart from project work, which is assessed by coursework only, most modules are assessed partly by coursework and partly by exam.
You will be assigned your own personal tutor who can provide advice about not just academic matters but also welfare concerns and careers development. You can see your personal tutor at any time by appointment or during office hours.
Independent learning
When not attending lectures, seminars or other timetabled sessions you will be expected to continue learning independently through self-study. Typically, this will involve reading journal articles and books, working on individual and group projects, undertaking research in the library, preparing coursework assignments and presentations, and preparing for exams. To help with your independent learning, you can access the Library and our social study spaces in halls of residence.
Academic support
Our Centre for Academic Achievement provides help in the following areas:
- study and exam skills
- academic writing
- presentations
- dissertations
- numerical data skills
- referencing sources
Our AccessAbility Centre offers support and practical help for students with dyslexia or other specific learning difficulties, including physical, mental health or mobility difficulties, deafness, or visual impairment.
Teaching staff
You will be taught by an experienced teaching team whose expertise and knowledge are closely matched to the content of the modules on the course. PhD research students who have undertaken teacher training may also contribute to the teaching of seminars under the supervision of the module leader. Our teaching is informed by the research we do. You can learn more about our staff by visiting our staff profiles.
Apply now
| Course | Qualification | Duration | Attendance | UCAS Code | Availability |
|---|---|---|---|---|---|
| Course Computer Science with Artificial Intelligence | Qualification BSc | Duration 3 years, full-time | Attendance Full-time | UCAS Code G4G7 | Availability How to apply |
| Course Computer Science with Artificial Intelligence with Industry | Qualification BSc | Duration 4 years, full-time | Attendance Full-time | UCAS Code G47G | Availability How to apply |
