Everything you need to know about studying a master's in Artificial Intelligence

part of Computer Science & IT

Artificial Intelligence (AI) focuses on creating and training machines that find solutions to problems which normally require human intelligence. Artificial Intelligence systems can be powered by machine learning, deep learning, or operating rules.

Being a relatively new field, AI comes with both benefits and potential risks. It can optimise tasks and reduce human errors, but it might also lead to the disappearance of some types of jobs and the creation of new ones. Additionally, some scientists have expressed concerns regarding future self-aware AI machines, although we haven't been able to develop them yet.

Some of the topics covered by Artificial Intelligence studies are: computer vision, natural language processing, speech recognition, software engineering principles, autonomous systems, machine learning, image analysis, signal and sound processing, ethics and social implications of AI, etc.

You need to have advanced knowledge of Mathematics, Algorithms, Statistics, and Probability to work in Artificial Intelligence. Top tech companies employ most AI professionals, who work on a variety of applications, systems, and machines. They create algorithms that offer people suggestions on services like YouTube or Netflix, develop, test, and improve self-driving cars and drones, or create digital personal assistants which provide useful information. Another requirement is to have solid expertise in programming languages. After graduation, AI students find work as AI researchers, AI specialists, machine learning engineers, computational linguists, robotics engineers, etc.

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Check out our list of Master's degrees in Artificial Intelligence. Keep in mind you can also study an online Masters in Artificial Intelligence.

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