Manchester Metropolitan University - Undergraduate Open Day
17 Jun 2026, 08:30
Manchester
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. 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.
This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
Students aged 17/18 who applied to this course were offered a place.
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Course optionsAll Saints Building
All Saints
Manchester
M15 6BH
Email:courses@mmu.ac.uk
Phone:0161 247 69 69