Call for Applications: BSc in Computer Science at UNIC Athens | Fall 2026

UNIC Athens announces the commencement of applications for the Bachelor of Science (BSc) in Computer Science for the Fall 2026 academic semester. This programme is delivered on-campus and is taught in English.

School School of Sciences and Engineering
Department Computer Science 
Duration 4 years (8 semesters)
Number of Positions 60
Selection Criteria Under the Greek legal framework, applicants may be eligible to apply if they hold:

  • A General Lyceum (GEL) or Vocational Lyceum (EPAL) Leaving Certificate, with an average grade in the four (4) nationally examined subjects equal to or higher than the Minimum Entry Requirement, as determined per academic field for the year of examination.
  • An equivalent Secondary Education qualification issued by a recognized foreign school operating in Greece (Level 4 of the National Qualifications Framework).
  • An international or equivalent Secondary Education qualification obtained in Greece or abroad, granting eligibility for admission to higher education in the country of study.

Note: The above constitute the minimum legal eligibility requirements as defined by the applicable regulatory framework. Admission decisions are made by the University following a comparative evaluation of eligible applicants and are subject to the availability of places.                          

Regulatory Note: The provisions governing eligibility are defined by Greek law and may be subject to amendment. For secondary school graduates prior to the 2021–2022 academic year, as well as for applicants who already hold a recognized higher education degree, the selection and admission criteria of the University of Nicosia apply.
Application Deadline The application deadline for the Fall Semester is 31 August. Applications submitted after this date may be considered only subject to availability of places.
Start Date Fall 2026 Semester

Programme Overview: 

The BSc in Computer Science at the University of Nicosia is designed to prepare students to thrive in the AI-driven era of computing, where intelligent, decentralized, and highly connected systems shape modern society. The program provides a solid foundation in computer science while equipping students with the knowledge and skills required to design, develop, and evaluate complex, intelligent, and secure computing solutions.

By combining core computer science principles with cutting-edge technologies such as artificial intelligence, machine learning, generative AI, cloud computing, cybersecurity, and the Internet of Things, the program enables students to transform ideas into innovative software systems. Graduates are prepared to solve real-world problems, adapt to emerging technologies, and contribute responsibly and ethically to a rapidly evolving digital world.

Programme Features:

  • Strong foundation in computer science, integrating core computational principles and modern software and systems design.
  • AI-era orientation, emphasizing artificial intelligence, machine learning, and intelligent systems throughout the curriculum, including modern applications such as generative AI.
  • Problem-solving and computational thinking focus, enabling students to analyze complex problems, define specifications, evaluate trade-offs, and design efficient, scalable solutions.
  • Hands-on learning through projects and laboratories, where students design, implement, test, and evaluate computer-based systems using modern tools, platforms, and cloud technologies.
  • Emphasis on secure and ethical computing, addressing cybersecurity, privacy, responsible AI practices, and the social, legal, and professional implications of modern technologies.
  • A dedicated industry placement component (internship as an optional elective course) that ensures students can apply obtained knowledge in a professional setting before graduating.

Unique and Innovative Curriculum:

  • Artificial Intelligence and Intelligent Systems: The curriculum places strong emphasis on AI and machine learning, enabling students to design, implement, and maintain intelligent systems that integrate technologies such as generative AI, big data, and IoT.
  • Cybersecurity, Privacy, and Trustworthy Computing: Students learn to identify risks, address security threats, and design resilient systems that respect privacy, diversity, and ethical considerations in an interconnected world.
  • Modern Software Engineering and Project Development: Emphasis on structured software development and testing, collaborative workflows, and the design of scalable applications, culminating in substantial individual and team-based projects.
  • Scalable Systems and Cloud Computing: Courses address modern architectures, cloud-based platforms, and decentralized systems, enabling students to evaluate scalability, performance, and sustainability trade-offs.
  • Human-Centered Computing and Interaction: Emphasis on human-computer interaction (HCI), usability, and accessibility ensures students can design user-centric interfaces for web, mobile, multimedia, and interactive systems.
  • Data Management: Students apply principles of data organization, management, and analysis to design and optimize database systems supporting AI and big data applications.
  • Emerging Technologies: The program fosters adaptability and continuous learning, ensuring graduates remain effective as computer science technologies and practices rapidly evolve.
  • Four Thematic Areas:
    Artificial Intelligence and Machine Learning
    Cybersecurity and Privacy
    Internet of Things
    Virtual Reality and Game Development

Admission Requirements: Admission Requirements – University of Nicosia

Further Information:  https://www.unic.ac.cy/athens/computer-science-bsc-4-years/