Aglantzia, Cyprus
DURATION
18 months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 5,125
STUDY FORMAT
On-Campus
Key Summary
Introduction
The aim of the new MSc Artificial Intelligence programme, starting in September 2022, and which will be delivered in English, is to be a modern programme, containing a strong interdisciplinary element as required by human-centric, explainable, and responsible artificial intelligence. Its compulsory courses include courses on artificial intelligence and ethics, as well as on artificial intelligence and entrepreneurship. Providing career counselling to students is a high priority, with the aim of helping all graduates to successfully pursue an AI-related career, and possibly set up their own start-ups.
The development of this new master’s programme is co-funded by the European Union (Connecting Europe Facility (CEF) — Telecommunications Sector). Europe’s initiative to fund new master’s programmes in Artificial Intelligence demonstrates the importance Europe attaches to recent developments in this area, in providing solutions to global problems related to every aspect of human life, contributing to growth and competitiveness.
Europe urgently needs more professionals in Artificial Intelligence, entrepreneurs, and researchers, capable of paving the way for new innovations for the good of society and pushing the borders of the field towards 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 Artificial Intelligence, be connected to industry and be fully aware of the ethical issues involved.
The programme’s collaboration network includes four European Universities (University of Cyprus, University of Bologna, Technische Universität Dresden, and University of Ruse Angel Kanchev), the CYENS Centre of Excellence and four high-tech SMEs (Nodes & Links Labs, 3AeHealth LTD, INJENIA SRL, MLPS AD). Fostering strong links with industry provides significant added value to the educational experience.
Admissions
Scholarships and Funding
Nine (9) scholarships of 2.562,50 euros/each for the coverage of 50% of the total tuition fees, which currently amount to 5.125 euros based on merit.
Scholarship in Memory of Michalis (Mike) Polydorou for Master/PhD Level Students of the Department of Computer Science
For Master/PhD Level Students - Department of Computer Science: two tuition-fee scholarships each for the sum of €5125 (or €4.000/€6.500 depending on the fees of the programme). Eligible candidates are Master/PhD level students of the Department of Computer Science who are carrying out or will carry out their master's or doctoral thesis on any topic of Computer Science.
Accepted candidates are then required to submit electronically the relevant application (attached) to the Department of Computer Science together with all the necessary certificates at out email from 10.9.2025 until 15.10.2025. It is clarified that the amount of the tuition fees that were paid will be returned to the student.
Scholarship for Undergraduate or Master or PhD degree of the Department of Computer Science
One (1) scholarship of €7.500 offered by Bank of Cyprus, for an undergraduate or postgraduate student. The criteria are academic.
Scholarships for Undergraduate or Master or PhD degrees of the Department of Computer Science
Six (6) scholarships, each worth €1.000 offered by Huawei Cyprus, for undergraduate or postgraduate students. The criteria are academic, but other factors are also taken into consideration (e.g., extracurricular activities, distinctions, awards, additional certifications or special skills, and the overall profile of the candidate).
Curriculum
Semester/Courses ECTS Credits
Fall Semester 1 30
- MAI611 AI Fundamentals 8
- MAI612 Machine Learning 8
- MAI613 Research Methodologies and Professional Practices in AI 4
- MAI614 AI on the Edge Webinars I 2
- Elective course 1 8
Spring Semester 1 30
- MAI621 AI Ethics I 6
- MAI622 AI Entrepreneurship 8
- Elective course 2 8
- Elective course 3 8
Summer Period 1 (Student participation is optional) 12
- MAI601 AI Camp 4
- MAI602 Research/Industrial Internship 8
- (On the basis of evaluation an internship could count as an elective) 8
Fall Semester 2 30
- MAI631 AI Ethics II and AI Policy Making 4
- MAI632 AI on the Edge Webinars II 2
- Elective course 4 8
- MAI641 Master Thesis OR Elective course 5 and Elective course 16
- MSc Total ECTS 90-102
Elective Courses (8 ECTS each):
- MAI623 Natural Language Processing
- MAI642 Deep Learning
- MAI643 AI in Medicine
- MAI644 Computer Vision
- MAI645 Machine Learning for Graphics and Computer Vision
- MAI646 Cognitive Programming for Human-Centric AI
- MAI647 Computational Neuroscience
- MAI648 Human-Centered Intelligent User Interfaces
- MAI649 Principles of Ontological Databases
- MAI650 Internet of Things
- MAI651 AI and Creativity
Additional Elective Courses from Master in Data Science:
- DSC511 Data Analytics
- DSC551 Data Visualization
- DSC516 Cloud Computing
Program Outcome
The programme’s intended learning outcomes are the following:
- Grasp the fundamental principles and techniques that underline software systems that exhibit “intelligent” behavior, be aware of the latest developments in AI, and appreciate the wide breadth of study that AI requires.
- Acquire a holistic view of machine learning enabling them to understand the principles that drive most scientific and industrial AI innovations.
- Understand how to provide computers with the ability to intelligently process human language, extracting meaning, information, and structure from text, speech, web pages, and social networks.
- Master key concepts and challenges of relevance to AI and data-driven entrepreneurship.
- Be able to apply methods and tools of AI research, and be aware of professional practices, and associated technological culture, bearing in mind EC’s regulatory framework.
- Understand the basics of implementing systems that are not only highly performing, but also adhere to our ethical socio-legal cultural values and understand how research into AI ethics feeds into policy and how policy requirements affect the development of AI systems.
- Acquire deep knowledge and familiarity with current and future research challenges in several specialized topics covered in the elective courses.
- Be aware of the career opportunities in the various countries.
- Exhibit versatility and innovative thinking in addressing and managing open questions in a variety of contexts, as an essential asset for careers in AI.
- Develop transferable skills such as oral and written scientific communication, near fluent use of scientific English, use of information/communication technology, organization and planning of group work.