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.
A Level: AAB | Including one of A-Level Mathematics, Computer Science or Physics. Excluded subject: General Studies Please note: You will also be excepted to achieve a Pass grade in the practical endorsement for any of the following A levels - Biology, Chemistry, Physics - if taken with one of the Awarding Bodies in England. | GCSE/National 4/National 5 Both GCSE English and Maths at grade C or 4 or an acceptable equivalent will be required. | International Baccalaureate Diploma Programme: 34 UCAS points | 6,6,5 in HL subjects, including HL Mathematics, Computer Science, or Physics. | Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) | Queen Mary University of London welcomes applications from students currently studying Level 3 BTEC qualifications and will consider you for entry to the majority of our undergraduate courses. The typical entry requirements will vary according to the course you are applying for. Some of our courses require specific subject knowledge which you may not be able to cover as part of a Level 3 BTEC qualification and we may therefore require additional Level 3 qualifications to ensure that you are suitably prepared for relevant courses. A small number of our courses do not accept BTEC qualifications for entry, either as a standalone qualification, or in combination with other qualifications at Level 3. Information on our typical entry requirements and guidance for applying can be found at http://www.qmul.ac.uk/undergraduate/entry/btec/ If you are at all unsure about the acceptability of your BTEC qualification for entry, please contact the Admissions team for individual advice (admissions@qmul.ac.uk).
Year 1 Exploring AI: Understanding and Applications Mathematical Principles for AI Coding Practices in AI Development Applied AI Collaborative Project
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