From healthcare to finance, artificial intelligence (AI) now impacts nearly every industry. AI not only influences the way we interact with technology and each other, it also shapes our very development.Our Master’s in Artificial Intelligence online offers individuals from both computer science and non-computing-based backgrounds an opportunity to understand how data and AI technology can be applied to support industry progress in an increasingly complex world.Examining every aspect of AI, from robotics and mathematics to machine learning and natural language processing, this MSc Artificial Intelligence Degree Online will equip you with the skills to secure one of a growing number of careers in this incredibly challenging but rewarding field. You’ll also explore the contemporary ethical implications of AI and the need for policies to ensure transparency and accountability, helping to further future-proof your knowledge.Providing a choice of pathways, you’ll have the flexibility to tailor your studies to your particular career path or area of interest:Technical: for students wishing to specialise in the more technical side of AI, this route has a greater emphasis on programming and machine learning.General: for students from less technical backgrounds who want to understand AI in context, this pathway offers a broader introduction to all aspects of the subject.Although previous coding experience is not required to study this course, it is recommended. Maths experience is essential it will prepare you for the high-level mathematical concepts covered throughout the course.By developing your comprehensive understanding of the practical applications and emerging opportunities in AI, our online Artificial Intelligence Master’s will fill you with the confidence to push the boundaries in this exhilarating, progressive specialism.Learning outcomesOn completion of the Artificial Intelligence Master’s degree online, you will be able to:Explain the core underlying statistical context that applies to the processing and modelling of dataDescribe and demonstrate the processes involved in the effective practice of data science and statistics, from initial data handling through to presentation of output