Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

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 field of 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 in the Faculty of Science and Engineering. Opening in 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 2023.

If you already have a 2023 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.

Application codes

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Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

GCSE grade C/4 or equivalent in English Language GCSE grade C/4 or equivalent in Mathematics

Unistats information

Operated by the Office for Students
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Student satisfaction
Employment after 15 months (Most common jobs)
Go onto work and study

The student satisfaction data is from students surveyed during the Covid-19 pandemic. 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

Additional fee information
AI and Data Science at Manchester Metropolitan University - UCAS