594 AI and Machine Learning Masters Degree Programs

The MSc in Applied Data Science & AI is designed for graduate students who seek a career at the intersection of management and tech departments within companies. The program has no prerequisites on Computer Science.

This specialised MSc program in Internet of Things (IoT) with AI is designed to cultivate experts in designing and deploying sophisticated IoT systems enhanced with smart machine learning algorithms. The comprehensive programme promotes a thorough grasp of IoT frameworks, computer networks and their security, communication standards, and data analysis, as well as mastery in machine learning methodologies, including neural networks, both supervised and unsupervised learning, and deep learning strategies.

Artificial Intelligence (AI) is one of the most popular areas in computer science and engineering. AI deals with intelligent behavior, learning, and adaptation in machines, robots, and body-less computer programs. The first AI master in Switzerland is offered in Lugano, profiting from the competences of the Faculty of Informatics and the Swiss AI Lab, IDSIA, Dalle Molle Institute for Artificial Intelligence, a common institute with SUPSI and one of the world's leading research institutes in this field. For example, in 2016, IDSIA got the Swiss Special ICT award for its bio-inspired research activities and one of the ten NVIDIA "Pioneers in AI research" awards.

Tiffin University’s Master of Science in Artificial Intelligence is a career-focused, 33-credit graduate program that trains students to design, build and deploy AI systems. Available online (asynchronous) or on campus, the program emphasizes hands-on training in machine learning, deep learning, natural language processing and big data, and culminates in a capstone project demonstrating practical mastery.

Unleash the power of data and statistics to make the right decisions happen. We integrate statistical modeling and analysis with machine learning, data mining, and data management to give you unique skills.

The MSc in Sport Data Science and AI works with modern hardware, software, and authentic datasets linking directly to athlete monitoring, match analysis, and sports business decision-making. Become part of us as you learn predictive modelling, decision support, and best-practice visualisation.

The Master Programme in Computer Science is designed to equip you with the skills and knowledge necessary to excel in the field of machine learning. With a focus on research and development of complex computer systems, we empower you to become a critical thinker with a comprehensive understanding of the subject.

The MBA with Artificial Intelligence specialization prepares you to lead business transformation in an AI-driven world without needing deep technical coding skills. You’ll master core business fundamentals – finance, leadership, operations – while gaining expertise in AI strategy, automation, machine learning applications, and cybersecurity risk management.

The Master in Artificial Intelligence and Management integrates advanced AI techniques with strategic management. The programme equips professionals to design, deploy, and govern AI-driven solutions, aligning technology with business goals. Its aim is to develop ethical, data-literate leaders capable of innovation, decision-making, and responsible transformation across industries and global digital economies.

The Master’s programme in Machine Learning, Sensors and Systems equips you with advanced technical expertise, focusing on intelligent systems. The programme combines subjects from electrical engineering and computer science – a combination that is becoming increasingly important as technology grows more complex and integrated.

Influence the future with our MSc in AI for a Sustainable Development at Birmingham. Our innovative programme will equip you with the skills and knowledge to drive ethical tech solutions and impactful change through interdisciplinary learning and real-world projects.

The MSc in Machine Learning develop an expertise in machine learning and artificial intelligence. You’ll focus on the latest research in deep learning and reinforcement learning and carry out projects to validate and extend this research. This provides a strong theoretical foundation.

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 MSc in Robotics and Embedded AI at Maynooth University equips graduates from computing, engineering, and related disciplines with specialized expertise in designing and controlling intelligent machines. This multidisciplinary program blends computing, electronics, and mechanical engineering to address the complex challenges of robotics and embedded artificial intelligence.

The Master's Degree Programme in AI for Marketing and Communication trains professionals capable of operating in marketing and digital communication environments, where technology and artificial intelligence play a central role. The programme is delivered entirely in English and prepares students for international, digital, and data-driven contexts.