Master’s in
Computer Science

Concentration in Blockchain Technologies

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The Master degree in Computer Science advances the students’ knowledge in core areas of computer science beyond the undergraduate level and exposes them to current and emerging trends.

The program provides an introduction to research within the field while strengthening the candidate’s effective application of computer science methods. The proposed Master degree in Computer Science is designed to have the learning outcomes related to: knowledge and understanding, application of knowledge and understanding for the analysis, design and development of computer systems. The curriculum prepares the student for a wide variety of computer-oriented careers, such as research, development, management, and teaching. The degree constitutes an independent and terminal study in addition to providing the basis for acceptance to, and continued studies towards, a doctoral degree in computer science.

The program aims of the specialization in Blockchain Technologies focus on the fundamentals of digital currencies and the underlying blockchain technology. It also focuses on programmable smart contracts and the associated architectures such as Ethereum. It aims to prepare students on the possible impact of these technologies on various applications including those based on Artificial Intelligence, Machine Learning and Internet of Things.

Career Prospects

Graduates of the MSc programme should be able to:

  • hold managerial positions in the ICT industry or government offices;
  • become senior technical developers or administrators in the ICT marketplace;
  • become entrepreneurs and establish their own enterprises;
  • continue studying towards a doctoral degree.

The specialization in Blockchain Technologies, will enable graduates to:

  • work as senior Blockchain engineers developing new decentralized solutions
  • work as Blockchain Architects designing new blockchain systems
  • hold positions like Blockchain Advisors or Consultants

Blockchain Technologies Learning Outcomes

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

  1. Critically evaluate computer-based systems, processes and programs, and apply theory, practices and tools for their specification, design, implementation and maintenance;
  2. Critically analyze and evaluate software solutions from the perspective of software architecture and design patterns;
  3. demonstrate initiative and originality in the specification, design and implementation of computer-based systems, processes, and programs, as well as in the implementation of software project management to meet desired functional and quality requirements;
  4. Critically analyze and evaluate the security risks that may be involved in the operation of computing equipment within a given context;
  5. Deploy effectively the tools used for the construction and documentation of software, and in particular in the process involved in using computers to solve practical problems;
  6. Communicate clearly and analytically using techniques derived from scientific practice in group meetings, presentations, lectures, written reports, and research papers;
  7. Exhibit such skills that are required to participate in research and development work or to independently work in other qualified areas as well as be able to continue studies towards a doctoral degree

Upon successful completion of Blockchain Technologies concentration, the students should be able to:

  1. Systematically analyze decentralized digital currencies and the underlying blockchain technology;
  2. Analyze and critically assess the architecture of the bitcoin system, including the data structure used for the bitcoin blockchain;
  3. Use the Bitcoin Script language to develop different type of scripts using the provided API;
  4. Systematically analyze the horizontal and vertical application areas of blockchains, beyond digital currencies;
  5. Envision the disruptive potential of blockchains in combination with other technological developments (IoT, AI, etc.), in the field of money and commerce;
  6. Provide a deep understanding of smart contracts and their role in the emergence of decentralized applications;
  7. Critically assess and develop innovative DApps (Decentralized application development).

Admission Requirements

  1. Online Completed Application form + 55 euro application fee
  2. Curriculum Vitae indicating your education, academic and professional experience, any publications, awards, etc.
  3. Attested copy of your Degree – A Bachelor’s degree (BA/BSc) in Computer Science, Computer Engineering, or any other related field from a recognized university (relevance will be assessed accordingly) with a CPA of at least 2.0. Applicants with a non-computer science degree (but related, e.g. MIS) may be admitted into the program but they may have to take up to 5 preparatory foundation courses, depending on the applicant’s background
  4. Attested copy of your Transcripts
  5. Letters of Recommendation: Two recommendation letters from academic or professional advisors.
  6. Personal Statement: A letter highlighting the applicant’s individual competencies and strengths and providing his/her reflections regarding the expectations and value of the program as well as to his/her personal advancement and career development.
  7. Proficiency in the English Language: Students satisfy the English requirements if their first degree was taught in English. Otherwise, they would need to present at least a TOEFL score of 550 paper-based or 213 computer-based, or GCSE “O” Level with “C” or IELTS with a score of 6.0 or score placement at the ENGL-100 level of the University of Nicosia Placement Test.

Access to Further Studies

Graduates of the programme can be accepted into Third Cycle degrees, Doctorate Degree, in the emerging field of Cryptocurrencies and Blockchain, in areas that depend on each student’s background, chosen electives, and research interests: computer science (including cryptography, security, distributed and mobile IT systems), finance, management, innovation, and technology regulation.

Program Pathway

The student must complete 90 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.

The complete program pathway is as follows:

Section: A – Major Requirements
Min. ECTS Credits: 36  Max. ECTS Credits: 36
Notes:
Course ID Course Title ECTS Credits
COMP-500DL Research Seminars and Methodology 6
COMP-513DL Cyber-Physical Systems and the Internet of Things 10
COMP-514DL Cryptography and Network Security 10
COMP-515DL Distributed Systems 10
Section: D – Concentration 3: Blockchain Technologies
Min. ECTS Credits: 34  Max. ECTS Credits: 34
Notes:
Course ID Course Title ECTS Credits
COMP-537DL Digital Currencies 10
COMP-538DL Blockchain Applications 10
COMP-539DL Smart Contracts 10
COMP-594DL Project in Blockchain Technologies 4
Section: E – Electives
Min. ECTS Credits: 0  Max. ECTS Credits: 20
Notes:
Course ID Course Title ECTS Credits
COMP-511DL Database Systems 10
COMP-512DL Software Engineering 10
COMP-521DL Cloud Computing 10
COMP-522DL Machine Learning and Data Mining 10
COMP-523DL Game Programming 10
COMP-524DL Visual Software Development 10
COMP-597DL Project 4
COMP-598DL Special Topics in Computer Science 10
Section: F – Thesis
Min. ECTS Credits: 0  Max. ECTS Credits: 20
Notes: Students who choose the postgraduate thesis (COMP-599DL) are exempted from two elective courses.
Course ID Course Title ECTS Credits
COMP-599DL Thesis 20
View Semester Breakdown (indicative)

Faculty

Prof. Philippos Pouyioutas
Prof. Philippos Pouyioutas
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Prof. Harald Gjermundrod
Prof. Harald Gjermundrod
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Prof. Constandinos Mavromoustakis
Prof. Constandinos Mavromoustakis
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Prof. Athena Stassopoulou
Prof. Athena Stassopoulou
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Prof. Marinos Themistokleous
Prof. Marinos Themistokleous
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Dr. Ioannis Katakis
Dr. Ioannis Katakis
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Dr Ioanna Dionysiou
Dr Ioanna Dionysiou
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Dr Dmitry Apraksin
Dr Dmitry Apraksin
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Dr Demetris Trihinas
Dr Demetris Trihinas
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Dr Andreas Savva
Dr Andreas Savva
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Adjunct Faculty

Dr Nicholas Loulloudes
Dr Nicholas Loulloudes
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Dr Christopher Zolotas
Dr Christopher Zolotas
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