15 AI and Machine Learning MA Degree Programs

The MA AI-EdTech is a forward-thinking professional online master’s program designed for ambitious professionals who want to shape the future of education in the age of artificial intelligence.

We live in an age where almost everything that we do is connected to data. Big data and datafication – the increasing transformation of multiple aspects of everyday lives into digital data, pose great opportunities but also risks for contemporary societies. This MA course address explores and creatively utilises this transformation. We place emphasis on current and future technologies and practices such as algorithms, artificial intelligence (AI), big data, blockchain, data analytics and data mining, the Internet of Things, and others. This multidisciplinary course brings together media/communication studies and computer science. It combines hands-on and applied approaches with theoretical learning and critical analysis. It will encourage collaboration, creative practice, group work and problem-based learning. You'll apply tools and technologies to your own data challenges and projects, including from your existing professional or cultural, political, social and economic environments. The course also features optional modules from a range of disciplines across the University: Media and Communication Studies, Law, Computer Science, Politics and International Relations, and Cultural Studies. You'll be introduced to the tools and approaches that can be used for the collection, analysis, management and visualisation of data, as well as to the skills needed to critically think about the ethical, cultural, social and political implications of their practice. The course combines technical skills, critical use and creative production. It directly addresses graduates who may wish to acquire a set of skills in relation to data analytics, processing and visualisation while maintaining and furthering a critical mode of enquiry into practices and trends that shape individuals, organisations and societies today. It also speaks to graduates with technical backgrounds and work experience in data-related industries who wish to develop a more critical and multidisciplinary understanding of the social, cultural, political and economic implications of data-driven societies today.

The goal of the Finance and AI curriculum is to train professionals in international finance and taxation capable of handling corporate financial management—foreseeing and analyzing its financial needs and growth strategies—as well as managing the tax aspects of entrepreneurial activity in geographically diversified scenarios and country systems.

The MA in Generative Design & AI at the University of Europe for Applied Sciences (UE) explores how artificial intelligence is transforming creative practice, product development and digital innovation.

The Impact MA in Human-Centered AI & Tech is a flexible Master’s that combines applied psychology and human-centred design to shape responsible AI and technology in an AI-driven world. Invest in a master’s that helps you navigate emerging AI and design AI and technology that truly serves people.

The AI-Driven Business Models Master’s is promoted by the School of Economics and by the International Centre of Research in International Management, in collaboration with Microsoft AI L.A.B. It trains leaders capable of integrating AI into organisational decision-making and strategic processes.

The MA in Computer Science (Informatics) is for anyone who wants to supplement their computer science education. You get a real opportunity to decide for yourself which courses you want to take. It is an ideal option for all those who wish to expand their range of practical computer science skills.

The Master’s program in Artificial Intelligence and Societies (M.A.) is designed for graduates with a background in social sciences, computer science, film, photography, communication studies, media professionals or another subject. It focuses on the influence of artificial intelligence on societies in all areas of life and provides students with the knowledge to become experts in artificial intelligence and society and to conduct qualitative research to examine the needs and challenges of AI for societies and cultures. The course is very international. The language of instruction is English. The program uses a real-time online global schedule to provide students from all over the world with the best study time.

Our fully accredited STEM Master of Arts (MA) in Artificial Intelligence Design degree in our School of Communications and Media Technology is one of a kind. You will embark on an immersive journey, blending traditional design principles with AI applications to develop a portfolio of professional-quality design work. You will graduate with essential foundational creative skills and the technological know-how to future-proof your career in a wide range of creative industries.

Master AI strategy, business analytics, and digital transformation in Madrid. This 9-month evening program prepares managers to implement AI responsibly and lead innovation across industries.

Master AI strategy, business analytics, and digital transformation in Barcelona. This 9-month evening program prepares managers to implement AI responsibly and lead innovation across industries.

This program is designed for those interested in exploring how artificial intelligence (AI) can be integrated into teaching and learning. It focuses on developing skills to create and implement digita...

The program explores how artificial intelligence (AI) impacts society and addresses global challenges. It covers key topics like the ethical use of AI, its role in shaping economic and social changes,...

This program offers a chance to explore the fascinating intersections of human cognition and artificial intelligence. It covers core topics like how the mind works, memory, perception, language, and d...

The specialization introduces artificial intelligence’s philosophical, scientific, cultural, and political challenges. Beginning with the logical and cybernetic foundations of the project of automated cognition, courses introduce AI problematics from a transdisciplinary perspective, from the philosophical foundations of scientific modelling of thinking to psychoanalysis and the biopolitics of algorithms.