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Applied Artificial Intelligence at Queen Mary University of London - UCAS

Course options

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 professional 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).

Modules

Year 1 Exploring AI: Understanding and Applications Mathematical Principles for AI Coding Practices in AI Development Applied AI Collaborative Project

Assessment method

Your modules will be assessed through a range of authentic coursework activities, including exams where appropriate. There is a strong emphasis on building up a portfolio of work to show potential employers. All students will work on a 60-credit project in their final year.


How to apply

Application codes

Course code:
I401
Institution code:
Q50
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements


English language requirements

ll applicants to Queen Mary must show they meet a minimum academic English language standard for admission and to be successful on the course. Please refer to the website below for details on our English Language requirements by course and acceptable alternative qualifications. You will also find important information regarding UKVI's English requirements if you are applying as an international student and will require a Student Visa to enter the UK.

Queen Mary University of London: English Language Requirements

https://www.qmul.ac.uk/international-students/englishlanguagerequirements/undergraduate-and-postgraduate-programmes/


Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

England £9250* Year 1
Northern Ireland £9250* Year 1
Scotland £9250* Year 1
Wales £9250* Year 1

*This is a provisional fee and subject to change.

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

For information on the overseas fee for this programme, please see our website http://www.qmul.ac.uk/tuitionfees/ Please be aware the fee for this course may rise to £9535 in line with the recent Government announcement. We will update further in January, when the Government’s proposals have been through parliament.
Applied Artificial Intelligence at Queen Mary University of London - UCAS