Type:
Master
Speciality:
056802.03.7 - Financial Mathematics
Specialisation:
056802.03.7 - Financial Mathematics
Qualification awarded:
Master of Financial Mathematics
Programme academic year:
2025/2026
Mode of study:
Full time
Language of study:
Հայերեն
1. Admission criteria/requirements
Admission is carried out according to Yerevan State University’s (YSU) regulations for
admission to the Master’s programme (both full-time and part-time) (YSU Academic
Council Decision No. 9/2, 26 May 2022):
Graduates holding a Bachelor’s degree from state or non-state accredited higher
education institutions may apply.
admission to the Master’s programme (both full-time and part-time) (YSU Academic
Council Decision No. 9/2, 26 May 2022):
Graduates holding a Bachelor’s degree from state or non-state accredited higher
education institutions may apply.
2. Programme Objectives
The programme aims to prepare mathematicians for the financial sector, including
financial analysts, actuaries, financial instrument programmers, and cash flow
managers who can work in investment, hedge, banking, and other financial and non-
financial institutions.
financial analysts, actuaries, financial instrument programmers, and cash flow
managers who can work in investment, hedge, banking, and other financial and non-
financial institutions.
3. Educational outcomes of the programme
Upon completion of the course, the student will be able to:
- Present methods of financial modelling and aspects of investment activity.
- Explain the principles of investment portfolio construction and management, and apply financial derivatives in portfolio management.
- Classify financial instruments, identifying their applications and suitability.
- Present the main quantitative, statistical, and econometric methods and models used in financial analysis, risk management, hedging, and decision-making.
- Design possible decision options using financial instruments and modern quantitative and statistical methods.
- Use financial derivatives in actuarial processes and explain corporate governance features and their applications.
- Use specialized software packages (Matlab, MS Excel, Eviews, Python, R) to solve practical problems.
- Develop financial models for specific situational problems.
- Apply financial knowledge and instruments to formulate and solve practical problems.
- Work with large data sets to conduct impact assessments, analyses, and forecasts.
- Work in teams and conduct analytical tasks.
- Adapt to a continuously changing financial and economic environment, enabling decision-making under uncertainty.
- Utilize professional literature, including foreign-language sources.
4. Assessment methods
YSU applies a multi-factor system for monitoring and evaluating student performance,
including:
1. Assessment of subtopics within a course/module during the semester (2 mid-
term exams).
2. Current assessment of specific topics during the semester.
3. Assessment of completion and understanding of individual assignments during
the semester.
4. Assessment of independent and/or group research during the semester (may
replace one of the mid-term exams).
5. Assessment of participation.
6. Final assessment at the end of the course/module to evaluate the achievement
of learning outcomes.
Courses are classified into four types based on the assessment method:
1. With final evaluation.
2. Without final evaluation.
3. Without mid-term exams.
4. Check-up based.
The lecturer defines components of assessments in agreement with the Chair.
including:
1. Assessment of subtopics within a course/module during the semester (2 mid-
term exams).
2. Current assessment of specific topics during the semester.
3. Assessment of completion and understanding of individual assignments during
the semester.
4. Assessment of independent and/or group research during the semester (may
replace one of the mid-term exams).
5. Assessment of participation.
6. Final assessment at the end of the course/module to evaluate the achievement
of learning outcomes.
Courses are classified into four types based on the assessment method:
1. With final evaluation.
2. Without final evaluation.
3. Without mid-term exams.
4. Check-up based.
The lecturer defines components of assessments in agreement with the Chair.
5. Graduates future career opportunities
Graduates can work in:
Financial organizations:
· Commercial banks
· Credit organizations
· Investment companies
· FinTech companies
· Insurance companies
· Pension funds
Non-financial organizations:
· “Ohanyan Brand Company” LLC
· “Sil Capital Construction” LLC
· “Bet Construct” bookmaker company
Public sector institutions:
· Central Bank of Armenia
· Ministry of Finance of Armenia
· Ministry of Economy of Armenia
· State Revenue Committee (SRA) of Armenia
Financial organizations:
· Commercial banks
· Credit organizations
· Investment companies
· FinTech companies
· Insurance companies
· Pension funds
Non-financial organizations:
· “Ohanyan Brand Company” LLC
· “Sil Capital Construction” LLC
· “Bet Construct” bookmaker company
Public sector institutions:
· Central Bank of Armenia
· Ministry of Finance of Armenia
· Ministry of Economy of Armenia
· State Revenue Committee (SRA) of Armenia
6. Resources and forms to support learning
. Printed, electronic, and online literature
· Computer labs
· Computer labs
7. Educational standards or programme benchmarks used for programme development
1. National Qualifications Framework of Armenia, approved by RA Government
Decision N 714-N, 7 July 2016
2. Sectoral Qualifications Framework for Mathematics, 2022
Benchmarking also included Master’s programmes in financial mathematics from:
3· Moscow State University
· London University
· Cambridge University
· University of Manchester
· University of Zurich
· Columbia University
Decision N 714-N, 7 July 2016
2. Sectoral Qualifications Framework for Mathematics, 2022
Benchmarking also included Master’s programmes in financial mathematics from:
3· Moscow State University
· London University
· Cambridge University
· University of Manchester
· University of Zurich
· Columbia University
8. Requirements for the academic staff
General Competences
Teaching / Pedagogical:
· Ability to prepare a course syllabus and calendar plan
· Knowledge of interactive teaching methods and active learning techniques
Research:
· Ability to work with diverse scientific sources and online resources
· Ability to apply mathematical, econometric, and programming tools to conduct
financial, statistical, and economic research
· Ability to lead research groups
Communication:
· Oral communication with students
· Writing and reporting research results
· Knowledge of at least English at the B1 level
ICT Skills:
· Proficiency with MS Office (Word, Excel, PowerPoint)
· Use of modern social platforms
· Skills in creating and presenting slides (pptx, Prezi, Canva, etc.)
Other Skills:
· Knowledge of professional ethics and legal norms, particularly in finance
· Ability to evaluate resources and implement programmes efficiently
· Time planning and management skills
Professional Competences
· Apply mathematical, econometric, and programming tools in financial, statistical,
and economic research
· Present methods of financial and actuarial modelling
· Conduct analyses and assessments using mathematical and statistical methods
and models
· Develop and manage investment portfolios
· Present quantitative, statistical, and econometric methods and models for
financial analysis, risk management, and decision-making
General Requirements
Academic Degree:
· Academic degree or title in physics-mathematics, technical, or economic fields,
or in related disciplines
· Publications and participation in conferences/workshops
Teaching Experience:
· Experience teaching professional courses or conducting training
· Participation in local or international training and professional development
courses
Practical Experience:
· At least 2 years of professional experience in finance or related fields
Other Requirements:
· Teaching portfolio with online materials for at least 50% of courses taught
· Average student evaluation score of at least 4.0
Teaching / Pedagogical:
· Ability to prepare a course syllabus and calendar plan
· Knowledge of interactive teaching methods and active learning techniques
Research:
· Ability to work with diverse scientific sources and online resources
· Ability to apply mathematical, econometric, and programming tools to conduct
financial, statistical, and economic research
· Ability to lead research groups
Communication:
· Oral communication with students
· Writing and reporting research results
· Knowledge of at least English at the B1 level
ICT Skills:
· Proficiency with MS Office (Word, Excel, PowerPoint)
· Use of modern social platforms
· Skills in creating and presenting slides (pptx, Prezi, Canva, etc.)
Other Skills:
· Knowledge of professional ethics and legal norms, particularly in finance
· Ability to evaluate resources and implement programmes efficiently
· Time planning and management skills
Professional Competences
· Apply mathematical, econometric, and programming tools in financial, statistical,
and economic research
· Present methods of financial and actuarial modelling
· Conduct analyses and assessments using mathematical and statistical methods
and models
· Develop and manage investment portfolios
· Present quantitative, statistical, and econometric methods and models for
financial analysis, risk management, and decision-making
General Requirements
Academic Degree:
· Academic degree or title in physics-mathematics, technical, or economic fields,
or in related disciplines
· Publications and participation in conferences/workshops
Teaching Experience:
· Experience teaching professional courses or conducting training
· Participation in local or international training and professional development
courses
Practical Experience:
· At least 2 years of professional experience in finance or related fields
Other Requirements:
· Teaching portfolio with online materials for at least 50% of courses taught
· Average student evaluation score of at least 4.0
