
Master of Science - Artificial Intelligence
Stag Hill, University Campus, Guildford, United Kingdom
246741
Last updated: 10/09/2024






About Master of Science - Artificial Intelligence
The growth of Artificial Intelligence (AI) is rapidly changing the way individuals live, work and learn. However, there’s a real shortage of AI talent worldwide, both to serve the industry and to drive future research. The University of Surrey's new MSc in Artificial Intelligence is the only course of its kind in the UK. It covers the three most important aspects of AI – vision, speech and 5G – each backed up by one of the University's world-leading research groups. Besides, this course consists of technical modules delivered by the Department of Electrical and Electronic Engineering, along with the opportunity to take related modules in business or law and ethics.
Students will learns about the fundamentals concept of AI along with mastering the universal machine learning tools. They'll also gain experience with cutting-edge tools such as deep neural networks (DNN), recurrent neural networks (RNN) and deep reinforcement learning (Deep RL) through regular hands-on exercises and practical labs. With this, they'll be able to capitalize on the wide spectrum of career opportunities provided by AI, preparing them to work in industry, take an entrepreneurial route or pursue further research.
During the first semester, students will also apply for and agree on a project with an academic supervisor and begin initial work on the project, before working on it full-time after the end of the second semester. From that point, they’ll have approximately two and a half months to complete the work and write up their dissertation.
The Artificial Intelligence graduates have numerous opportunities in AI-driven businesses such as Google, Facebook, Amazon and Samsung, as well as roles in the mobile and gaming industries. They can take up roles such as AI scientist at a global technology company; AI analyst in finance or banking and other jobs requiring a systematic understanding of AI ; or entrepreneurial roles (e.g. business start-ups focused on AI technology).
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