Type:
Bachelor
Speciality:
056101.01.6 - Mathematics
Specialisation:
056101.01.6 - Mathematics
Qualification awarded:
Mathematics
Programme academic year:
2025/2026
Mode of study:
Full time
Language of study:
Հայերեն
1. Admission criteria/requirements
The admission is carried out according to the RA Government Decision N 597of 26 April 2012 on “Procedure for Admission to State and Non-State Higher Education Institutions of the Republic of Armenia (for Bachelor’s Programmes)”,
Entrance examinations include:
· Mathematics (written)
· Physics or English (written)
· Armenian Language (written, non-competitive)
Entrance examinations include:
· Mathematics (written)
· Physics or English (written)
· Armenian Language (written, non-competitive)
2. Programme Objectives
· Provide students with knowledge in various fields of mathematics.
· Prepare mathematicians as researchers and practitioners who apply mathematical tools, capable of teaching in different educational institutions and working in research institutes, banks, and financial organizations.
· Introduce students to modern programming languages and their applications for solving a variety of problems.
· Prepare mathematicians as researchers and practitioners who apply mathematical tools, capable of teaching in different educational institutions and working in research institutes, banks, and financial organizations.
· Introduce students to modern programming languages and their applications for solving a variety of problems.
3. Educational outcomes of the programme
Upon completion of the course, the student will be able to:
- Demonstrate knowledge and understanding of the theories and principles in real and complex analysis.
- Explain the principles of algebra, including their theoretical foundations and applications.
- A3. Describe the principles of geometry, with insight into their underlying theories.
- Articulate the principles of probability theory and statistics, demonstrating understanding of key concepts.
- Outline the main provisions of differential equations, including evaluation of their principles.
- Present the principles of functional analysis, with understanding of theoretical underpinnings.
- Explain the basic provisions of information technologies, integrating knowledge of related principles.
- Demonstrate foundational knowledge in natural sciences, with understanding of interdisciplinary connections.
- Construct mathematical models for problems in various fields, apply skills to analyze and solve issues in broad but familiar contexts with guided innovation.
- Develop algorithms using programming tools to address problems, demonstrating competence in their application.
- Utilize programming packages to solve theoretical and applied problems in general contexts, managing technical activities with some responsibility.
- Apply statistical programming packages to resolve applied statistics problems, making decisions in predictable scenarios.
- Solve mathematical problems by applying acquired theoretical knowledge with analytical skills.
- Make generalizations from theoretical material or solved problems, adapting solutions in broad contexts under guidance.
- Apply numerical methods and computational techniques to approximate solutions for mathematical problems in applied contexts.
- Access and evaluate information from diverse sources (e.g., Internet, electronic libraries, scientific articles) to support problem-solving.
- Engage in discussions, defend viewpoints, and collaborate in teams, contributing to group dynamics with responsibility for personal development.
- Apply rational thinking, analytical abilities, and logic in various fields of science, technology, and economy, making decisions in familiar contexts.
- Communicate effectively in writing and orally in native and foreign languages within professional communities, demonstrating understanding.
- Collect, analyze, and interpret quantitative and qualitative data in mathematics, applying approaches to solve problems while managing basic resources.
4. Assessment methods
YSU operates a multifactor system for periodic assessment and evaluation of students’ knowledge, which includes:
1. Assessment of mastering subsections of a course (module) during the semester (2 ongoing tests).
2. Continuous assessment of individual topics within a course (module) during the semester.
3. Evaluation of completion and mastery of independently assigned tasks during the semester (independent work).
4. Evaluation of independent and/or group research work during the semester (research work may replace one of the ongoing tests).
5. Assessment of course participation (attendance and engagement).
6. Final evaluation of the course (module) during the examination period, assessing the level of achievement of the learning outcomes.
Based on the workload, mode of study, teaching methods, and course relevance to students’ professional knowledge and skills development, courses are divided into four groups according to assessment type:
1. With final assessment
2. Without final assessment
3. Without ongoing tests
4. Check-up-based
1. Assessment of mastering subsections of a course (module) during the semester (2 ongoing tests).
2. Continuous assessment of individual topics within a course (module) during the semester.
3. Evaluation of completion and mastery of independently assigned tasks during the semester (independent work).
4. Evaluation of independent and/or group research work during the semester (research work may replace one of the ongoing tests).
5. Assessment of course participation (attendance and engagement).
6. Final evaluation of the course (module) during the examination period, assessing the level of achievement of the learning outcomes.
Based on the workload, mode of study, teaching methods, and course relevance to students’ professional knowledge and skills development, courses are divided into four groups according to assessment type:
1. With final assessment
2. Without final assessment
3. Without ongoing tests
4. Check-up-based
5. Graduates future career opportunities
Graduates can find jobs in institutions operating in information technology, programming, and statistics, in general education schools, as well as in any organizations (state institutions, banks, commercial companies, etc.) that have analytical or IT departments.
6. Resources and forms to support learning
Printed, electronic, and online literature; computer laboratories.
7. Educational standards or programme benchmarks used for programme development
· Moscow and Saint Petersburg universities’ Bachelor’s degree programmes in mathematics were used as references.
· The programme complies with Level 6 of the RA National Qualifications Framework (approved by RA Government on 7 July 2016) and the “Mathematics” Sectoral Qualifications Framework (approved by the Minister of Education, Science, Culture and Sports on 27 August 2022).
· European Qualifications Framework. European Commission. Retrieved 8 November 2016.
· The programme complies with Level 6 of the RA National Qualifications Framework (approved by RA Government on 7 July 2016) and the “Mathematics” Sectoral Qualifications Framework (approved by the Minister of Education, Science, Culture and Sports on 27 August 2022).
· European Qualifications Framework. European Commission. Retrieved 8 November 2016.
8. Requirements for the academic staff
1. General Competences
Teaching / Pedagogical
· Ability to develop a course work plan (syllabus).
· Knowledge of interactive teaching methods and ability to apply active learning techniques.
Research
· Ability to work with diverse scientific sources, including online informational resources.
· Ability to supervise student research groups.
Communication
· Ability to communicate orally with students.
· Ability to present research results in writing.
· Knowledge of professional foreign language.
ICT Application
· Basic computer skills (MS Office: Word, Excel, and PowerPoint).
· Ability to prepare and deliver presentations.
Other Skills
· Adherence to professional ethics standards.
· Ability to evaluate necessary resources and implement programmes efficiently.
· Ability to plan and manage time resources.
2. Professional Competences
· Mastery of bachelor’s mathematics programme subjects.
· Thorough knowledge of the module being taught.
· Mastery of the main ideas of related modules.
· Ability to incorporate a research component in courses.
· Ability to supervise final theses.
3. General Requirements
Academic Degree
· Academic or Master’s degree in mathematics or a related field.
· At least 2 scientific and/or methodological publications in the last 5 years.
· Participation in conferences and/or workshops in the last 5 years.
Pedagogical Experience
· Participation in local or international training or professional development courses in the last 5 years.
Other Requirements
· Compliance with YSU code of conduct.
· Average student evaluation score of at least 4.0 for teaching professors.
Teaching / Pedagogical
· Ability to develop a course work plan (syllabus).
· Knowledge of interactive teaching methods and ability to apply active learning techniques.
Research
· Ability to work with diverse scientific sources, including online informational resources.
· Ability to supervise student research groups.
Communication
· Ability to communicate orally with students.
· Ability to present research results in writing.
· Knowledge of professional foreign language.
ICT Application
· Basic computer skills (MS Office: Word, Excel, and PowerPoint).
· Ability to prepare and deliver presentations.
Other Skills
· Adherence to professional ethics standards.
· Ability to evaluate necessary resources and implement programmes efficiently.
· Ability to plan and manage time resources.
2. Professional Competences
· Mastery of bachelor’s mathematics programme subjects.
· Thorough knowledge of the module being taught.
· Mastery of the main ideas of related modules.
· Ability to incorporate a research component in courses.
· Ability to supervise final theses.
3. General Requirements
Academic Degree
· Academic or Master’s degree in mathematics or a related field.
· At least 2 scientific and/or methodological publications in the last 5 years.
· Participation in conferences and/or workshops in the last 5 years.
Pedagogical Experience
· Participation in local or international training or professional development courses in the last 5 years.
Other Requirements
· Compliance with YSU code of conduct.
· Average student evaluation score of at least 4.0 for teaching professors.
