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Nicosia, Cyprus
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The below information is required while
completing the university application :
To be considered for undergraduate admission to the University of Cyprus, applicants typically need to fulfill the following requirements:
Secondary Education Completion: Applicants must have successfully completed their secondary education, equivalent to a high school diploma or a twelve-year schooling certificate.
Entrance Examinations: Admission is primarily based on performance in entrance examinations organized by the Ministry of Education and Culture of the Republic of Cyprus. These exams assess the applicant's knowledge and suitability for their chosen field of study.
Language Proficiency: Since the primary language of instruction is Greek, proficiency in the Greek language is essential. Applicants may need to demonstrate their language skills through standardized tests or preparatory courses.?
Specific Subject Requirements: Certain programs may have specific subject prerequisites. For example, applicants to the Department of Computer Science are required to have GCE A Levels in Mathematics and Physics with at least a grade of B, and a GCE O Level in Modern Greek with at least a grade of C.
Personal Interview or Additional Examinations: Depending on the department, applicants might be required to attend a personal interview or take additional written or oral examinations to assess their aptitude and interest in the chosen field.
Application Submission: Applicants must submit a completed application form along with all required documents, such as academic transcripts, proof of language proficiency, and identification documents, by the specified deadlines
It's important to note that specific admission requirements can vary by department and applicant category. Prospective students are encouraged to consult the official University of Cyprus admissions page or contact the admissions office for detailed and up-to-date information.
Know more
In November 2024, Professor Despina Fatta-Kassinos from the Department of Civil and Environmental Engineering was featured in the "Highly Cited Researchers" list for the seventh consecutive year. This acknowledgment reflects her significant impact and influence in her specialized field, underscoring the University's dedication to producing globally recognized research
In 2023, the University of Cyprus secured top ranking in the European Commission's evaluation for creating the "PHAETHON Research and Innovation Center of Excellence for Intelligent, Efficient, and Sustainable Energy Solutions." This initiative received €15 million from the EU, matched by national funding, with additional contributions from the University and EuroAsia Interconnector PLC. PHAETHON aims to advance research in green and sustainable energy, positioning itself at the heart of the energy ecosystem in Cyprus and beyond
Professor Marios Polycarpou, Director of the KIOS Research and Innovation Center of Excellence, was honored with the 2023 IEEE Frank Rosenblatt Technical Field Award. This prestigious recognition celebrates his pioneering contributions to neural networks and learning systems in monitoring and control. Notably, he is the first researcher from Cyprus to receive this award, highlighting the University's leadership in artificial intelligence research
In 2023, researchers at the University of Cyprus developed a therapeutic nanocarrier system designed for targeted cancer treatment. This nanoparticle comprises a poloxamer surfactant, Vitamin E TPGS, and an anticancer compound. The innovative design enhances the delivery and efficacy of anticancer agents, potentially reducing side effects and improving patient outcomes. This invention represents a significant advancement in nanomedicine, offering a novel approach to cancer therapy
In 2022, the university's researchers patented a photovoltaic sensor aimed at the early detection of potential-induced degradation (PID) in solar panels. The sensor features a housing with an internal power source and an electrical connection to the photovoltaic module, supplying a current of less than 10 mA. This low-current application enables the early identification of PID, facilitating timely maintenance and ensuring the longevity and efficiency of solar energy systems
In 2022, a team from the University of Cyprus introduced methods for efficiently encoding and decoding multivariate correlated data sequences for transmission over multiple network channels. The approach involves transforming data vectors from correlated sources into vectors with substantially independent components, generating common and private information vectors. This method enhances data compression rates and is particularly applicable to sensor networks and multi-user virtual environments, optimizing data transmission and storage
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