Admission Criteria

The minimum admission requirement for an Undergraduate (1st Cycle/Bachelor’s) Degree is a recognised High School Leaving Certificate (HSLC) or equivalent internationally recognized qualifications.

Students with a lower than 7.5/10 or 15/20 or equivalent, HSLC grade depending on the grading system of the country issuing the HSLC, are provided with extra academic guidance and monitoring during the first year of their studies.

Furthermore, applicants eligible for admission to undergraduate programmes under the Greek legal framework, which establishes minimum admission criteria, include:

a) Greek or foreign nationals holding a General High School Diploma (ΓΕ.Λ.) or a Vocational High School Diploma (ΕΠΑ.Λ.) with an average grade in the four (4) nationwide examination subjects equal to or greater than the minimum admission threshold. This threshold is determined by multiplying the lowest average grade among all examinees within a given scientific field by a coefficient of 0.8 in the year of participation.

b) Holders of equivalent secondary education diplomas from recognized foreign schools in Greece (level 4 of the National Qualifications Framework).

c) Holders of international secondary education diplomas issued by schools in Greece or abroad, foreign nationals with an equivalent high school diploma, or an equivalent vocational education qualification granting them the right to access higher education institutions in the country where they studied.

d) For graduates mentioned in point (a) before the academic year 2021-2022, as well as holders of a first-cycle degree, the terms and conditions for selection and admission are set by the parent institution (University of Nicosia) as outlined in the first paragraph of section 1.2.

English Language Proficiency

The list below provides the minimum English Language Requirements (ELR) for enrollment to the programme of study. Students who do not possess any of the qualifications or stipulated grades listed below and hold IELTS with 4.5 and above, are required to take UNIC’s NEPTON English Placement Test (with no charge) and will receive English Language support classes.

• IELTS – 6 and above
• Anglia Examinations – Advanced and above
• Cambridge GCE AS Level English Language – C and above
• Cambridge GCE English A Levels – C and above
• Cambridge IGCSE or GCSE English as a First language – C and above
• Cambridge IGCSE or GCSE English as a Second language – B and above
• IB English A: Literature SL & HL – 4 and above
• IB English Standard Level (SL) – 5 and above
• IB English High Level (HL) – 4 and above
• Michigan Language Assessment (also known as Proficiency of Michigan) – 650 and above
• Password Test – 6 and above
• TOEFL (IBT) – 60 and above
• Cambridge Exams (First Certificate) – 160 and above or Pass
• Cambridge Exams (Proficiency Certificate) – 180 and above or Pass

Course assessment usually comprises of a comprehensive final exam and continuous assessment. Continuous assessment can include amongst others, mid-terms, projects and class participation.

Letter grades are calculated based on the weight of the final exam and the continuous assessment and the actual numerical marks obtained in these two assessment components. Based on the course grades the student’s semester grade point average (GPA) and cumulative point average (CPA) are calculated.

The student must complete 240 ECTS and all programme requirements.

A minimum cumulative grade point average (CPA) of 2.0 is required. Thus, although a ‘D-‘ is a PASS grade, in order to achieve a CPA of 2.0 an average grade of ‘C’ is required.

Upon successful completion of this program, the students should be able to:

• Apply knowledge of computer science and modern technologies to model, design, and develop computer-based algorithms, systems, processes, and programs, demonstrating an understanding of the trade-offs inherent in design decisions, particularly in a decentralized and AI-driven context.
• Identify, analyze, and define criteria and specifications for solving complex computational problems, using structured strategies and advanced tools for innovative and efficient solutions.
• Demonstrate computational thinking skills by recognizing its applicability across various domains and effectively applying these skills in real-world and interdisciplinary scenarios.
• Assess and evaluate computer-based systems, processes, and programs against defined criteria, including scalability, security, and adaptability to future technological trends.
• Utilize theoretical knowledge and practical skills to specify, design, implement, and maintain intelligent systems, integrating technologies such as generative AI, IoT, and machine learning into computing solutions.
• Evaluate and address social, professional, legal, and ethical considerations in the design, deployment, and use of computer technologies, ensuring responsible AI practices and respect for diversity and inclusivity.
• Plan, manage, and implement software projects by specifying requirements, creating solutions, and leading or collaborating effectively within development teams.
• Evaluate and optimize systems based on quality attributes, including usability, performance, security, and sustainability, while addressing trade-offs in various scenarios.
• Apply principles of data management, organization, and analysis to design and optimize database systems, particularly those relevant to big data and AI applications.
• Incorporate principles of human-computer interaction (HCI) to design and evaluate user interfaces, web pages, multimedia systems, and mobile systems, ensuring accessibility and user-centric design.
• Identify and address risks, safety, and security concerns in computer systems, emphasizing privacy, cybersecurity, and ethical considerations in an interconnected world.
• Effectively utilize modern software development tools and platforms, including open-source resources and cloud-based systems, to solve practical problems and innovate in software creation and documentation.
• Engage in collaborative, open-source projects, understanding their value in fostering innovation, inclusivity, and global contributions to the software community.
• Work effectively as part of interdisciplinary teams to design, implement, and deploy innovative solutions that integrate technologies such as generative AI, machine learning, and IoT.
• Demonstrate awareness of emerging trends and technologies in computer science, applying lifelong learning strategies to adapt to a rapidly evolving field.

Section: A Major Requirements

ECTS: Min. 126 Max. 126

Section: B Major Electives

ECTS: Min. 36 Max. 60

Notes: Students following a specific Thematic Area, will need to take a minimum of three courses from the respective area as follows

• Thematic Area 1 – Artificial Intelligence and Machine Learning: COMP-340, COMP-345,
  COMP-447, COMP-476
• Thematic Area 2 – Cybersecurity and Privacy: COMP-230, COMP-242, COMP-432,
  COMP-433, COMP-434
• Thematic Area 3 – Internet of Things: COMP-289, COMP-470, COMP-474, COMP-475
• Thematic Area 4 – Virtual Reality and Game Development: COMP-263, COMP-320,
  COMP-386, COMP-410

Section: C Math, Science and Engineering Electives

ECTS: Min. 30 Max. 60

Section: D Business Electives

ECTS: Min. 6 Max. 24

Section: E Language Expression

ECTS: Min. 12 Max. 30
Notes: Placement in the English courses is done on the basis of a Placement Test or tests such as TOEFL or GCE.

Section: F Liberal Arts Electives

ECTS: Min. 6 Max. 24

Semester 1

Semester 2

Semester 3

Semester 4

Semester 5

Semester 6

Semester 7

Semester 8