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Applied Artificial Intelligence

1 Study option · UndergraduateMain Site
Awarded by:
Queen Mary, University of London

Course summary

Artificial Intelligence is revolutionising industries worldwide, fueling demand for skilled professionals. In this ever-changing field, how can you ensure your skills keep you at the forefront of the AI revolution?

In this programme, you will study the fundamental mathematics, coding and deep learning skills that underpin AI software and its applications. From Year One, you will work on practical projects set by leading researchers and industry professionals in AI, all while building up a professional AI portfolio of work that will help boost your employability.

Programme Highlights

  • Learn the fundamental mathematics, coding and deep learning skills that underpin all  AI software and applications

  • Work on practical projects set by leading researchers and industry professionals in AI

  • Learn from leading researchers in the AI field, including academics actively involved in the ATLAS Experiment at CERN, Belle 2 experiment in Japan, and industry experts who have held Head of AI roles, including at Cambridge Consultants

  • Benefit from our London location and close links with industry and take the opportunity to apply for internships with the South East Physics Network (SEPnet).

Module highlights include:

  • Coding Practices in AI Development – In this module, you will learn the tools of the trade for AI application and development.

  • Exploring AI and Understanding Applications – in this module, you will look into the big topics surrounding the use of AI today, including ethics, sustainability, equality, diversity and inclusion and more.

  • AI in the Real World – in this module, you will learn about the different industries that AI is used in, the real-world examples of what jobs people are doing, and how different techniques can be used in multiple sectors.

  • Entrepreneurship and Consultancy – in this module, you will have the opportunity to learn about pitching to business professionals and how AI consultancy works in practice.

How to apply

Application codes

Course code:
I401
Institution code:
Q50

Open days

Historical entry grades data BETA

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.

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Student Outcomes

Operated by the Office for Students

68 Employment after 15 months (Most common jobs)

82 Go onto work and study

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

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