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BSc (Hons) Computer Science and Artificial Intelligence Queen Mary University of London, England

at United Kingdom (UK)

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Highlights about course

Course overview

The BSc (Hons) Computer Science and Artificial Intelligence program at Queen Mary University of London is a comprehensive and rigorous academic course that is designed to provide students with a strong foundation in computer science, coupled with a specialized understanding of artificial intelligence. This program includes the study of artificial intelligence techniques and their application in a broad range of fields. Students will be equipped with the skills to develop intelligent software applications and systems, as well as a thorough understanding of the theoretical underpinnings of the discipline. Practical work forms a key part of the curriculum, including programming, problem-solving, and design skills.

Queen Mary University of London, England

Queen Mary University of London (QMUL) is a prestigious public research university located in London, England. Established in 1887 as the People's Palace, it joined the University of London in 1915 and grew through subsequent mergers. Spread across multiple campuses in East London, its Mile End campus is notably the largest self-contained campus in the capital. Recognized for its diverse student body, QMUL boasts a rich tapestry of cultures and backgrounds. The university offers a wide range of undergraduate, postgraduate, and research programs across various disciplines. It is particularly renowned for its research outputs in the fields of Medicine, Dentistry, and Humanities. Beyond academics, the university promotes a vibrant student life, with numerous clubs, societies, and events. QMUL's alumni have made significant contributions in various sectors, from arts to sciences, and have gained recognition globally. In recent years, it has consistently ranked among the top universities in the UK and the world, reflecting its commitment to excellence in education and research.

Intakes

Starting Date Open 02 Sep 2024
Submission Deadlines (Onshore/Offshore) 26 Aug 2024 / 02 Aug 2024

Expenses

Tuition Fee (per year)
GBP 26,250
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