Master in Artificial Intelligence (MAI)

“Navigating the Frontiers of AI Excellence”

The University of Cyprus is accepting applications for the September 2025 intake to the MSc Artificial Intelligence programme. Apply now!

Applications can be submitted electronically using the online application system Postgraduate Application System.

The aim of the English-language master’s programme in Artificial Intelligence (AI), offered since September 2022, and since September 2023 has evolved into an interdepartmental with the Department of Electrical and Computer Engineering, is to be a modern programme, which will contain a strong interdisciplinary component, as required by human-centred, explainable and responsible artificial intelligence. Compulsory courses include courses on artificial intelligence and ethics, as well as artificial intelligence and entrepreneurship. Providing career advice to students is a top priority, with the aim of helping all graduates to successfully pursue an AI-related career, possibly setting up their own start-ups.

The development of this new master's programme was co-funded by the European Union (Connecting Europe Facility (CEF) – Telecommunications Sector). Europe's initiative to fund new master's programmes in the field of artificial intelligence demonstrates the importance that Europe attaches to recent developments in this field, providing solutions to global problems related to every aspect of human life, contributing to growth and competitiveness. Europe urgently needs more AI professionals, entrepreneurs and researchers, capable of paving the way for new innovations for the good of society and pushing the frontiers of the field to new challenges. This new generation of AI graduates must be fully familiar with the latest technological developments in terms of the breadth and depth of technical knowledge in AI, be connected to industry and be fully aware of the ethical issues involved.

The project's cooperation network includes three European universities (University of Cyprus, University of Bologna, and Ruse Angel Kanchev University), three Centres of Excellence (KIOS, CYENS, Eratosthenes), the Cyprus Institute, and a large number of high-tech SMEs, including 3AeHealth LTD, DENOVA, MLPS AD, AC Goldman, Deriv and Artemis Industries. Cultivating close links with industry provides significant added value to the educational experience.

The intended learning outcomes of the programme are the following:

• Fundamental Principles of Intelligent Systems – Understanding the basic principles that define intelligent software systems and keeping up to date with the latest developments in Artificial Intelligence.
• Integrated Understanding of Machine Learning – Gain a comprehensive understanding of the principles of machine learning that guide scientific and industrial innovations in Artificial Intelligence.
• Business Perception in Artificial Intelligence and Data – Understanding key concepts and challenges related to entrepreneurship in Artificial Intelligence and data utilization.
• Practical Applications and Ethical Issues – Application of research methods and tools to Artificial Intelligence, taking into account professional practices, regulatory frameworks and ethical issues.

Mandatory Courses

• AI Fundamentals
• Machine Learning
• Research Methodologies and Professional Practices in AI
• AI on the Edge Webinars
• AI Ethics and Policy Making
• AI Entrepreneurship

Elective Courses

• Industrial/research internship
• Natural Language Processing
• AI in Medicine
• Deep Learning
• Computer Vision
• Machine Learning for Graphics and Computer Vision
• Computational Neuroscience
• Human-centered intelligent user interfaces
• Principles of Ontological Databases
• Internet of Things
• Big Data Analytics
• Data Visualization
• Cloud Computing
• Embedded and Real-Time Systems
• Intelligent Monitoring and Control
• Autonomous Mobile Robots

Programme Duration and Structure

The programme consists of three academic semesters (90 ECTS credits)

MSc Thesis can be replaced with 2 elective courses

During the intervening summer period students can optionally:

• embark on an industrial/research internship (8 ECTS credits) or
• complete their Master thesis.

An internship, based on evaluation, can be counted as one of the elective courses. An ever-expanding network of industrial and research organizations linked with the programme, provides students and graduates the opportunity to pursue AI-related internships on cutting edge themes, do an industrial-based Master thesis, or being offered employment. Internships can also be conducted through Erasmus+ placements utilizing academic and other international partners.

The programme’s collaboration network includes three European Universities (University of Cyprus, University of Bologna, and University of Ruse Angel Kanchev), three Centers of Excellence (KIOS, CYENS, Eratosthenes), the Cyprus Institute, and several high-tech SMEs including 3AeHealth LTD, DENOVA, MLPS AD, AC Goldman, Deriv and Artemis Industries.

The programme can be attended on a full-time, or a part-time, basis; students can organize their studying accordingly with the help of their academic tutors. To facilitate working students, no lectures or other learning activities are scheduled during morning sessions.

Admission Criteria

• Bachelor's Degree in Science/Applied Sciences (Computer Science, Mathematics, etc.), Engineering (Electrical Engineering, Biomedical Engineering, etc.) or Cognitive Science
• Previous report on Artificial Intelligence issues or relevant work experience
• Programming knowledge
• Knowledge of the English language

Scholarships

Several scholarships covering half the amount of tuition fees are available.

Learning material can be found at  https://mai4car.eu/learning-material-msc-artificial-intelligence-university-of-cyprus/