MASTER OF SCIENCE

Computer science and technology will shape our future, and employment of IT experts is expected to grow by 12% from now until 2028. Considering the rapid rise of innovative technologies as drivers of the global economy, the MSc in Data Science and Artificial Intelligence offers students a broad foundation in modern software and hardware systems, as well as in-depth knowledge of new applications of IT. The master's programme covers the latest technologies, from Artificial Intelligence to Data Science and machine learning, and their applications to cloud and mobile apps and systems.

Students will develop comprehensive knowledge of the fundamentals of data management and an in- depth understanding of artificial intelligence principles, technologies, and big data analytics. They will also acquire comprehensive knowledge of the main data-mining tasks, such as data selection, data transformation, analysis, and interpretation, with specific reference to unstructured text data and the issues related to analysis in the “big data” environment.

Upon completion of the programme, graduates will be able to:

• Apply advanced knowledge of Artificial Intelligence, machine learning, and data science to design innovative, efficient, and sustainable business solutions.
• Lead strategic decision-making and drive organisational transformation by integrating AI technologies, big data analytics, and innovation management.
• Develop and implement analytics strategies, data-driven solutions, and AI applications across diverse industries.
• Manage complex big data projects, from acquisition and processing to model development, evaluation, and deployment.
• Apply research principles and methods to plan, execute, and present a professional, research- based industry project with autonomy and accountability.
• Organise, analyse, and visualise large, complex datasets to inform strategic business and operational decisions.
• Demonstrate professional integrity and ethical awareness in applying AI and data-driven technologies in a global and sustainable context.

As innovative technologies continue to drive the global economy, the MSc in Data Science and Artificial Intelligence equips you with a strong foundation in modern software and hardware systems, along with in-depth expertise in the latest applications of IT.

Graduates of this programme are prepared to excel in high-demand roles, including:

• Data Scientist
• Machine Learning Engineer
• Artificial Intelligence Specialist
• Data Engineer
• Business Intelligence Analyst
• Data Analyst
• Big Data Engineer
• Data Architect

Our online education model gives you the freedom to complete classes on your schedule and create a learning experience that fits your needs, with access to faculty and advisors who will support you throughout the master. All the modules will be taught online through an interactive Virtual Learning Environment where you can access synchronous and asynchronous lectures and project based and lab activities. Live interactive sessions and webinars will be organised by the professor to deepen relevant topics, present case studies and organise practical activities. The module also includes different discussion forums that allows students to create and process information, practise critical thinking and collaborate and interact simultaneously or asynchronously in the online learning environment.

Customised assistance by faculty and academic advisors will be provided to the students throughout the academic journey to improve academic success and results.

The master is accredited by MFHEA - Malta Further & Higher Education Authority, with license number 2023-05.

Moreover the master is recognized and approved by KYASAT, the competent authority of the Republic of Cyprus for the recognition of higher education qualifications. KYSATS is a member of the NARIC (National Academic Recognition Information Centres), ENIC (European Network of National Information Centres on academic recognition and mobility) and MERIC (Mediterranean Recognition Information Centres) networks.

Graduates of the MSc in Data Science and Artificial Intelligence are equipped with the advanced technical expertise, analytical skills, and strategic vision needed to thrive in one of the fastest-growing sectors worldwide. With demand for AI and data professionals continuing to rise, this programme opens doors to high-impact roles across industries such as finance, healthcare, technology, manufacturing, and government.

Most in-demand career profiles include:

• Data Scientist
• Machine Learning Engineer
• Artificial Intelligence Specialist
• Data Engineer
• Business Intelligence Analyst
• Data Analyst
• Big Data Engineer
• Data Architect

Professionals and graduates aged from 31 to 65 who wish to pursue their studies further and who want to have the flexibility of working and studying. In particular the master is addressed to:

• Professionals wishing to enhance their technological skills to increase competitiveness in the global market;
• Professionals from the IT sector who wish to develop new skills in AI and Data science;
• Professionals and graduates interested in understanding the foundations and implications of Artificial Intelligence and Deep Learning in Business, Art, and Society.

Fall: September 24th, 2025 - October 24th, 2025

Spring: January 26th, 2026

To begin the application process, please submit the application form along with all required documents. Your application will be evaluated by the Admissions Office and the Master's Committee, and you will be informed of the outcome by email.

As part of the admissions process, an interview with each applicant will be scheduled by the Admissions Officer.

15% and 20% scholarships are available for EU and international students, as well as for professionals in the IT sector. To apply for these scholarships, eligible candidates must submit their application for the Master and indicate their interest in the scholarship during the application process. Additional documentation, such as proof of professional experience (for the Professional Experience Scholarship) or proof of citizenship (for the EU Scholarship), may be required.