AI and Data Science
Manchester Metropolitan University
UCAS Code: G5AI | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
GCE A levels - grades BBB, to include minimum grade B in one of the following subjects: IT, Computer Science, Mathematics, CCEA Digital Technology, Software Systems Development or a science subject.
122 UCAS tariff points in Access to HE Diploma in one of the following subjects: ICT, Computing, IT, Science or Mathematics.
International Baccalaureate Diploma Programme
Pass IB Diploma with 30 points overall, or achieve minimum 120 UCAS Tariff points from three Higher Level subjects. To include HL 5 in Computing, IT, Mathematics, Chemistry, Physics or Biology. If you plan to meet the Level 2 requirement through the IB Diploma you will require HL 4 or SL 5 in English Language/English Language and Literature, and HL 4 or SL 4 in Mathematics
OCR Cambridge Technical Extended Diploma
CTEC Level 3 Extended Diploma in Computing or IT
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
BTEC Level 3 National Extended Diploma in IT or Computing accepted
T Level
T level in Digital Production, Design and Development or Digital Business Services with overall grade of Merit. T levels in Digital Support Services or Science will be considered on a case-by-case basis.
Please note that offers for this course are typically made based on grades rather than the UCAS tariff, dependent on the qualifications presented.
About this course
A degree in AI and Data Science will equip you with the knowledge and skills to acquire, curate, manage, analyse, and make inferences from data for solving real-world problems.
In your first year, you will study core computing topics such as programming and databases, as well as specialist subjects such as mathematics, statistics, and the principles and practice of data science. As you move into your second year you’ll progress onto more advanced topics, such as applied predictive modelling, algorithms and data structures, machine learning (a key topic in artificial intelligence), and the theory and implementation of alternative database models. In your final year, you’ll be ready to meet complex subjects such as deep learning, high-performance computing and big data, and you’ll turn your hand to a large-scale technical project. Alongside these subjects, you will be developing your communication and team working skills.
Study artificial intelligence and data science with us and you’ll gain essential, transferable computational and statistical thinking skills to create and deploy data-driven products. We’ll equip you with the knowledge for solving challenges in a range of potential data-rich application domains, such as medicine, health, climate, transportation, marketing and sales.
**FEATURES AND BENEFITS**
- Specialise in the exciting and fast-growing fields of artificial intelligence and data science, gaining knowledge and skills that are highly valued by an array of tech companies.
- You will study a curriculum designed with industry in mind to equip you with the range of skills and strengths that employers demand.
- The four-year placement route gives you the opportunity to spend your third year on an industry placement, boosting your employment prospects on graduation. This may be subject to availability.
- We are investing £115m to transform the way we teach and you learn in the Faculty of Science and Engineering. Open from Autumn 2023, our new Dalton building will enhance collaboration between students, staff and industry and provide improved teaching spaces, including a new computing and mathematics studio.
- You will experience what it's like to work as part of a professional team, finding solutions to complex problems via group projects. You can also get involved with extracurricular work to further apply your skills, such as hackathons, gaming events and the Students’ Union computing society.
- Our excellent facilities include teaching laboratories equipped with high-specification PCs with specialist, industry-standard software running on either Windows or Linux.
- Our dedicated drop-in lab provides an informal social working space with regular support sessions from our programme support tutors.
The Uni
Manchester Metropolitan University
Department of Computing and Mathematics
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?
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?
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.
£22k
£27k
£30k
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.
£22k
£27k
£30k
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:
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:
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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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