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Artificial intelligence (AI) is the construction of artificial systems that have intelligent behaviour.There are two main motivations for research. One is to understand natural intelligence through the use of computer models. The other provides techniques and technology for building systems capable of intelligent decisions and actions. So AI is both a science and an engineering discipline.Applications of AI range from 'smart' controllers for household devices to computers with the ability to converse in English, play games, conduct intelligent web searches or act as the brain of a robot.We offer a wide range of AI courses delivered by leaders in their field. You will have the flexibility to focus on the areas of artificial intelligence that interest you most.
You will be mostly based in the School of Informatics with lectures, tutorials and classes held in Appleton Tower. The building is located in the University's Central Campus area, and provides purpose-built facilities and dedicated learning and teaching spaces.You will also attend classes in the Nucleus building at the King’s Buildings campus. The King’s Buildings campus is around 15 minutes by bus from the Central Campus. The Nucleus building is a new shared learning, teaching and social hub, built to a sustainable and environmentally efficient design.You will have access to computer laboratories in Appleton Tower and quality software support. You will also be able to use the University’s facilities, including libraries and common student spaces.
Popular employers include: Google, Facebook, Amazon, IBM, SkyScanner, Intel, Samsung, ARM, Nvida, Keysight, RockStar North, NatWest, J.P. Morgan, Citigroup
Our school boasts a record number of start-ups and spinouts over the last ten years, including those set up by our alumni, such as:
We support you to recognise the wealth of possibilities ahead, during your time at the University and after graduation. Our award-winning Careers Service plays an essential part in your wider student experience at the University and provides:
UCAS Application • Official High School Transcripts • Personal Statement • Educational Resume • Letter of Recommendation by School TeacherA Levels: A*A*A* - AAB in one set of examsInternational Baccalaureate (IB): 43 points with 777 at HL - 34 points with 665 at HLCBSE / CISCE Boards: Overall average of 80% or above and minimum 80% in all required subjects (or 85% where we require a grade A at SQA Higher). 75% at Grade XII EnglishIELTS: 6.5 overall with at least 5.5 in each componentTOEFL (iBT): 92 overall with at least 20 in each componentRequired subjects: A Levels- Mathematics at A, IB- HL: Mathematics (Analysis and approaches only) at 6, SL: English at 5Minimum Entry Requirement: A Levels: ABB, IB: 32 points with 655 at HLMachine Learning EngineerAI ResearcherData ScientistAI ConsultantNLP EngineerComputer Vision EngineerRobotics EngineerAI Product ManagerAlgorithm EngineerAutonomous Systems Engineer
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University of Edinburgh
