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This artificial intelligence MSc introduces you to Python AI libraries and coding techniques, as a basis for learning how to communicate ideas and data visualisations to non-specialist audiences. This AI course covers advanced technologies such as Machine Learning/Deep Learning and prepares you for the ethical, regulatory and social aspects of the fair use of AI systems. This distance learning master's also focuses on applied AI with case studies on the use of AI in the industry including health, legal, sustainability, climate change, automobile and local government. Your time studying this online AI course will help you gain a wide range of competencies needed to progress in the field of AI with confidence and clarity. As an online master's student, you’ll learn how to: Identify, apply, and implement a range of AI systems, tools, algorithms, and techniques for creative problem-solving Clearly convey ideas and the application of AI to non-specialist audiences, as well as how to present the outcomes of AI solutions Critically reflect upon and address the legal, social, ethical, cultural, and professional implications of using AI Use knowledge of applied Machine Learning/ Deep Learning techniques, business analytics, and associated business strategies based on AI to design solutions for a range of applied fields Utilise various research methods to study AI, and further your understanding of business models and management to contextualise your output Critically reflect on the significance and impact of AI within the workplace Explore the horizon of AI and its real-world applications in fields such as healthcare, marketing, and the government/public sector
Hangi bölümdeyim?
Faculty of Science and Engineering
Giriş koşulları
Uluslararası öğrenciler için
Either an Honours (or higher) degree at 2:2 or above or international equivalent in a STEM discipline (such as computer science, physics, mathematics) or closely related subjects. Applicants must have studied, as part of their first degree, a module in mathematics (pure or applied), statistics, computing, or data analysis or equivalent professional experience (including training in coding).
Or, applicants without relevant degree qualifications will be considered based on relevant professional experience or training, which must include competence in computer programming. This can be evidenced, for example, through a recognised course or module at level 3 or above, an industrial certificate, or a summary of programming projects undertaken.
