Bachelor Of Science

Artificial Intelligence is transforming the way we interact with technology, and its influence spans across every aspect of our daily lives. As AI continues to advance, understanding its principles and applications has become essential for computer engineers and IT professionals. The BSc in Computer Science and Artificial Intelligence is designed to meet this demand, offering students the knowledge and skills to tackle modern-day challenges through cutting-edge technology. This three-year degree provides a solid foundation in computer science and AI, blending rigorous theoretical frameworks with hands-on practical experience. Students will gain proficiency in key areas such as machine learning, generative AI, software systems design, information security, data science, and software development. With a strong focus on real-world applications, the program equips graduates to become innovative IT professionals capable of driving change in an AI-powered world.

• Master Core AI Competencies: Explore the principles of machine learning, deep learning, robotics, computer vision, and AI agents.
• Develop Practical Skills: Learn how to design software systems, enhance information security, and analyze data, preparing you for immediate entry into top IT roles.
• Address Real-World Challenges: Build solutions for complex, real-world problems using AI technologies and contribute to industries growth.
• Understand the Broader Impact: Gain insight into the ethical, legal, and social implications of AI.
• Hands-On Learning: Participate in projects that simulate real-world AI applications, from autonomous systems to intelligent data analysis, ensuring a seamless transition to the workforce.

Graduates of the BSc in Computer Science and Artificial Intelligence can pursue a wide range of in-demand careers in the tech industry

• AI Engineer
• Machine Learning Engineer
• Data Scientist
• Software Developer
• Robotics Engineering
• AI Research Scientist
• Computer Vision Engineering
• Data Analyst

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.

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.

A bachelor degree of 3 or 4 years minimum 180 ECTS is required to be admitted to the master.

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 BSc in Computer Science and Artificial Intelligence program 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.