Course summary
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.
How to apply
You can no longer submit a new application for courses starting in 2024.
If you already have a 2024 application and are in Clearing, you can add this course as a Clearing choice – contact the university or college first to check they have places.
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
Student Outcomes
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
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