Type:
Master
Speciality:
056802.06.7 - Financial Mathematics
Specialisation:
056802.06.7 - ---
Qualification awarded:
Master of Financial Mathematics
Programme academic year:
2025/2026
Mode of study:
Full time
Language of study:
Հայերեն
1. Admission criteria/requirements
Applicants who meet the following requirements may apply to the “Blockchain and Digital
Currencies” academic program:
According to the YSU Master’s Degree Admission Procedure (full-time and part-time modes of
study) approved by Decision No. 9/2 of the YSU Academic Council dated 26 May 2022,
Graduates of state and accredited / institutionally accredited non-state higher education
institutions of the Republic of Armenia who hold a Bachelor’s degree or the qualification of a
certified specialist.
Currencies” academic program:
According to the YSU Master’s Degree Admission Procedure (full-time and part-time modes of
study) approved by Decision No. 9/2 of the YSU Academic Council dated 26 May 2022,
Graduates of state and accredited / institutionally accredited non-state higher education
institutions of the Republic of Armenia who hold a Bachelor’s degree or the qualification of a
certified specialist.
2. Programme Objectives
The purpose of the program is to train specialists who will be able to develop, implement, and
manage blockchain technologies and digital currency ecosystems. They will be equipped to
promote the adoption of innovative solutions in the financial system, public administration, and
secure data management, as well as to support the development of the crypto-economy and
Web3 in Armenia.
manage blockchain technologies and digital currency ecosystems. They will be equipped to
promote the adoption of innovative solutions in the financial system, public administration, and
secure data management, as well as to support the development of the crypto-economy and
Web3 in Armenia.
3. Educational outcomes of the programme
Upon completion of the course, the student will be able to:
- Apply blockchain technology, its types, and the fundamentals of cryptography.
- Describe digital currencies and decentralized financial systems.
- Use mathematical and statistical models in financial processes.
- Explain cybersecurity risks and data protection measures.
- Design blockchain-based systems, including smart contracts and decentralized applications (dApps).
- Develop and test smart contracts using the Ethereum Virtual Machine.
- Apply cybersecurity solutions to protect data, digital assets, and cryptographic keys.
- Analyze and manage risks in decentralized finance (DeFi) platforms.
- Protect data and digital assets and conduct data-driven analysis.
- Analyze game theory algorithms and apply them in blockchain-based financial systems.
- Apply blockchain fintech solutions and model the financial behavior of digital assets.
- Analyze complex data and identify effective technological solutions.
- Perform data analysis, modeling, and ensure information security.
- Work effectively in multidisciplinary teams.
- Communicate technical ideas to both professional and non-professional audiences.
- Create and develop new ideas and products in the fields of digital currencies and blockchain.
- Apply modern technologies while adhering to principles of data protection, transparency, and trustworthiness.
4. Assessment methods
YSU operates a multi-factor system of periodic testing and evaluation of students' knowledge,
which includes the following components:
1. evaluation of mastering the subsections of the course (educational module) during the
semester (2 current exams),
2. current audits of individual topics of the course (study module) during the semester,
3. verification and evaluation of independent tasks provided by the program during the
semester (independent/individual work),
4. evaluation of the performance of independent and/or group research work provided by the
program during the semester (research work that replaces any of the current exams),
5. assessment of participation in the course (participation),
6. final assessment of the entire course (educational module) in the examination period,
3
which implies an assessment of the level of achievement of learning outcomes defined for
the course.
Based on the workload of lessons (educational modules) provided by the curriculum of the
educational program, the form of education, teaching methods and taking into account the
importance of the course in the formation of the student's academic knowledge and abilities, the
lessons, according to the evaluation form, are divided into 4 types of groups:
1. with the final assessment,
2. without final assessment,
3. without evaluation of current exams,
4. inspection (pass check).
The evaluation components of each course are determined by the lecturer in agreement with the
chair.
which includes the following components:
1. evaluation of mastering the subsections of the course (educational module) during the
semester (2 current exams),
2. current audits of individual topics of the course (study module) during the semester,
3. verification and evaluation of independent tasks provided by the program during the
semester (independent/individual work),
4. evaluation of the performance of independent and/or group research work provided by the
program during the semester (research work that replaces any of the current exams),
5. assessment of participation in the course (participation),
6. final assessment of the entire course (educational module) in the examination period,
3
which implies an assessment of the level of achievement of learning outcomes defined for
the course.
Based on the workload of lessons (educational modules) provided by the curriculum of the
educational program, the form of education, teaching methods and taking into account the
importance of the course in the formation of the student's academic knowledge and abilities, the
lessons, according to the evaluation form, are divided into 4 types of groups:
1. with the final assessment,
2. without final assessment,
3. without evaluation of current exams,
4. inspection (pass check).
The evaluation components of each course are determined by the lecturer in agreement with the
chair.
5. Graduates future career opportunities
Graduates can carry out professional work at:
● Financial institutions:
Commercial banks,
Investment companies,
FinTech companies,
● Web3 and blockchain technology-based companies:
«Web3 Armenia Foundation»,
«Blockstars» LLC,
«LayerSwap» LLC,
«Hacksence» LLC,
«CoinStats» LLC,
«Fastex» ecocosystem,
«Binance Armenia» LLC,
· Strate institutions:
Ministry of Finance of the RA,
Ministry of High-Tech Industry of the RA,
Central Bank of the RA,
State Revenue Committee of the RA, etc.
Graduates may work as blockchain specialists, financial analysts, risk management
professionals, cryptocurrency market analysts, cybersecurity specialists, and data analysis
experts, providing essential solutions for the development of blockchain, digital currencies,
and financial markets.
● Financial institutions:
Commercial banks,
Investment companies,
FinTech companies,
● Web3 and blockchain technology-based companies:
«Web3 Armenia Foundation»,
«Blockstars» LLC,
«LayerSwap» LLC,
«Hacksence» LLC,
«CoinStats» LLC,
«Fastex» ecocosystem,
«Binance Armenia» LLC,
· Strate institutions:
Ministry of Finance of the RA,
Ministry of High-Tech Industry of the RA,
Central Bank of the RA,
State Revenue Committee of the RA, etc.
Graduates may work as blockchain specialists, financial analysts, risk management
professionals, cryptocurrency market analysts, cybersecurity specialists, and data analysis
experts, providing essential solutions for the development of blockchain, digital currencies,
and financial markets.
6. Resources and forms to support learning
Printed, electronic, internet literature, computer rooms.
7. Educational standards or programme benchmarks used for programme development
1. National Qualifications Framework of the Republic of Armenia, approved by RA
Government Decision No. 714-N of 7 July 2016.
2. Sectoral Qualifications Framework for “Mathematics”, 2022.
The following master’s programs were also used as benchmarks:
the “Blockchain and Financial Technologies” program of the University of East London
(United Kingdom);
the “Blockchain” program of Nanyang Technological University (Singapore);
the “Blockchain and Digital Currencies” program of the University of Nicosia (Greece);
and the “Blockchain Technologies and Digital Currencies” program of Atlantic International
University (USA).
Government Decision No. 714-N of 7 July 2016.
2. Sectoral Qualifications Framework for “Mathematics”, 2022.
The following master’s programs were also used as benchmarks:
the “Blockchain and Financial Technologies” program of the University of East London
(United Kingdom);
the “Blockchain” program of Nanyang Technological University (Singapore);
the “Blockchain and Digital Currencies” program of the University of Nicosia (Greece);
and the “Blockchain Technologies and Digital Currencies” program of Atlantic International
University (USA).
8. Requirements for the academic staff
1. General skills
Teaching/pedagogical
● the ability to make a course work program (calendar plan),
● knowledge of interactive teaching methods, ability to use active learning techniques.
Research
● the ability to work with various scientific sources, as well as to use Internet
information resources,
● ability to perform financial, statistical, economic research using mathematical tools,
econometric models and computer programming packages,
● ability to lead a research group.
Communication
● ability to communicate orally with the audience,
● ability to present research results in writing,
● knowledge of a foreign language (at least B1 level of English).
ICT application
● basic computer skills (free command of MS Office package: Word, Excel, Power-
Point),
● ability to use modern social platforms,
● skills to prepare and present presentations (pptx, prezi, canva, etc.).
Other skills
● knowledge of professional ethics and legal norms (especially in the financial sector),
● the ability to estimate the necessary resources and implement projects effectively,
● ability to plan and manage time resources.
2. Professional skills
● ability to perform financial, statistical, economic research using mathematical tools,
econometric models and computer software packages,
● ability to present financial modeling methods,
● ability to present actuarial modeling methods,
● ability to perform and present economic analysis and assessments using mathematical
and statistical methods and models,
● ability to develop and present investment portfolio construction and management,
● ability to present the main quantitative, statistical and econometric methods and models
used for financial analysis, risk management and decision making,
3. General requirements
Academic degree
● a scientific degree and/or degree in a physical, mathematical, technical or economic
field, or in some cases, a master's degree in a given or related specialty,
● availability of scientific and/or methodical publications,
● participation in conferences and/or workshops.
Pedagogical experience
● experience in teaching professional courses and/or retraining (trainings),
● participation in local or international trainings and/or professional qualification
improvement courses.
Practical work experience
● at least 2 years of work experience in finance or related field.
Other requirements
● teaching portfolio: availability of online materials for at least 50% of taught subjects,
the average grades obtained by the results of the student survey: at least 4.0 (for active
professors).
Teaching/pedagogical
● the ability to make a course work program (calendar plan),
● knowledge of interactive teaching methods, ability to use active learning techniques.
Research
● the ability to work with various scientific sources, as well as to use Internet
information resources,
● ability to perform financial, statistical, economic research using mathematical tools,
econometric models and computer programming packages,
● ability to lead a research group.
Communication
● ability to communicate orally with the audience,
● ability to present research results in writing,
● knowledge of a foreign language (at least B1 level of English).
ICT application
● basic computer skills (free command of MS Office package: Word, Excel, Power-
Point),
● ability to use modern social platforms,
● skills to prepare and present presentations (pptx, prezi, canva, etc.).
Other skills
● knowledge of professional ethics and legal norms (especially in the financial sector),
● the ability to estimate the necessary resources and implement projects effectively,
● ability to plan and manage time resources.
2. Professional skills
● ability to perform financial, statistical, economic research using mathematical tools,
econometric models and computer software packages,
● ability to present financial modeling methods,
● ability to present actuarial modeling methods,
● ability to perform and present economic analysis and assessments using mathematical
and statistical methods and models,
● ability to develop and present investment portfolio construction and management,
● ability to present the main quantitative, statistical and econometric methods and models
used for financial analysis, risk management and decision making,
3. General requirements
Academic degree
● a scientific degree and/or degree in a physical, mathematical, technical or economic
field, or in some cases, a master's degree in a given or related specialty,
● availability of scientific and/or methodical publications,
● participation in conferences and/or workshops.
Pedagogical experience
● experience in teaching professional courses and/or retraining (trainings),
● participation in local or international trainings and/or professional qualification
improvement courses.
Practical work experience
● at least 2 years of work experience in finance or related field.
Other requirements
● teaching portfolio: availability of online materials for at least 50% of taught subjects,
the average grades obtained by the results of the student survey: at least 4.0 (for active
professors).
9. Additional information about the programme
The program has been developed within the framework of the ERASMUS+ “T-GREEN”
project.
project.
