Computer Science with Artificial Intelligence
University of Nottingham
UCAS Code: G4G1 | Master of Science (with Honours) - Msci (Hon)
University of Nottingham
UCAS Code: G4G1 | Master of Science (with Honours) - Msci (Hon)
Entry requirements
A level
AQA Certificate in Mathematical Studies (Core Maths)
If you have already achieved your Core Maths qualification at grade A you will automatically be offered one grade lower in a non-mandatory A level subject. If you are still studying for your Core Maths qualification you will receive the standard course offer, and also an alternate offer with a condition of one grade lower in a non-mandatory A level subject if you achieve an A grade in your Core Maths qualification. If you qualify for a contextual offer, your Core Maths qualification will be taken into consideration and the appropriate adjustment will be made to your offer. Please note that if you qualify for an enhanced contextual offer, your Core Maths qualification will not be taken into consideration as we are unable to make any further adjustments to your offer. Core Maths qualifications offered by other exam boards are also considered for an alternative offer.
Access to HE Diploma
Pass Access to HE Diploma with 45 graded credits at Level 3 with 45 Distinction
Cambridge International Pre-U Certificate - Principal
D3. M1, M2 if taking Computing /Computer Science
International Baccalaureate Diploma Programme
or 766 in 3 HL certificates or 34 points including 6 in HL Computer Science or 666 in 3 HL certificates including HL Computer Science 5 in Mathematics at Higher or Standard Level, if no GCSE 5 (B) in Mathematics.
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)
Case by case basis
Case by case basis
Case by case basis
Case by case basis
Scottish Advanced Higher
Plus Higher grades AAABB including Mathematics
Scottish Higher
Welsh Baccalaureate - Advanced Skills Challenge Certificate (last awarded Summer 2024)
This qualification is only acceptable when combined with A Level grades AA (AB if taking Computer Science) or equivalent
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
Artificial intelligence is changing our homes, workplaces and lifestyles. Our course lets you explore this subject with optional modules in intelligent agents, autonomous systems, machine learning, and human-AI interaction.
You'll take part in a group project in year two which prepares you for creating the computer systems of the future. Many projectsare in collaboration with industry. Previous students have worked with Capital One, Experian, IBM and UniDays. This is great for your CV and can help you make contacts ready for when you start your career.
The fourth-year includes masters-level modules. You have full choice on what you'll study. You could focus on a programming project, look at advanced algorithms or be a STEM ambassador in schools. You can conduct a substantial research project as a fourth year dissertation.
You may recognise some of our tutors from the Computerphile YouTube series. It is this inspiring teaching that you can expect at Nottingham.
**Why choose this course?**
- **Study abroad** You’ll have the opportunity to apply to study abroad and gain a global perspective of computer science.
- Average salary £32,104 (HESA Graduate Outcomes Survey 2022)
- Accredited by the British Computer Society
- Flexibility to transfer between computer science degrees during year one
- No experience in programming is needed to apply for this course
Modules
In the first year, you will be introduced to the fundamentals of artificial intelligence. This will give you a broad knowledge of the field, such as AI search techniques, data mining, and ethics. You will learn the foundations of computer science. This will include modules on programming languages such as C, Java and Haskell.
In your second year, you will study more advanced modules in artificial intelligence. This will build on your knowledge from the first year. You'll learn about topics such as AI techniques and algorithm efficiency. Optional modules are also available for you to study topics that you are personally interested in. These include human-computer interaction or C++ programming.
Year three offers a wide range of flexibility. We offer lots of optional modules so you can choose what you study and tailor your degree to your own interests. Our modules are linked to our own research groups. This means we are able to offer a wide variety of topics.
In your final year, you can choose to complete a research project. This can be in any area of artificial intelligence. You will be supported by our academic staff and world-leading research groups.
Tuition fees
Select where you currently live to see what you'll pay:
The Uni
University Park Campus
School of Computer Science
What students say
We've crunched the numbers to see if the overall teaching satisfaction score here is high, medium or low compared to students studying this subject(s) at other universities.
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
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Computer science
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
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.
£31k
£41k
£50k
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.
£31k
£41k
£50k
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 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?
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