Course summary
Our BSc (Hons) AI and Data Science course will provide you with specialist technical knowledge as well as analytical, logical thinking and problem-solving skills to ensure you’re ready to make a difference in this rapidly developing sector. During your time here, you will be taught in specialist laboratories that are equipped high-performance computers and the latest industry-standard software. You will also benefit from our strong industry links, thanks to being located in a city, with one of the biggest creative and digital sectors in the UK. This course has been carefully structured so that you will build the knowledge and skills to acquire, curate, manage, analyse, and make inferences from big data for solving real-world problems. Study with us and you’ll gain essential, transferable computational and statistical thinking skills to create and deploy data-driven products. By the end of your time here, you’ll have the confidence for solving challenges in a range of potential data-rich application domains, including 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’ve invested over £115 million to transform the way we teach and the way our students learn. The new Dalton building is equipped with dynamic learning spaces, world-class teaching and research facilities and collaborative study zones. This means you’ll graduate with the skills and experiences employers look for.
- 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.
How to apply
This course is not open to application until the 13th May 2025.
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- G5AI
- Institution code:
- M40
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff
A level - BBB
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DDD
Access to HE Diploma
International Baccalaureate Diploma Programme - 30 points
OCR Cambridge Technical Extended Diploma - DDD
T Level - M
GCSE grade C/4 or equivalent in English Language GCSE grade C/4 or equivalent in Mathematics
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
Manchester Metropolitan University
All Saints Building
All Saints
Manchester
M15 6BH