Financial Engineering
6.113.00.03 Financial Engineering
Qualification awarded: Bachelor in Applied Mathematics
Entry year: 2024
Mode of study: full
Program duration: 4 years
Institute: Institute of Applied Mathematics and Fundamental Sciences
Number of credits: 240 ECTS credits
Level of qualification according to the National Qualification Framework and the European Qualifications Framework: NQF Level 6 (First cycle of QF-EHEA / EQF Level 6)
Field(s) of study: Mathematics and statistics
Specific arrangements for recognition of prior learning: Given that previous level was obtained in another country, it requires nostrification, which is done by Lviv Polytechnic. There are no recognition rules for non-formal and formal education.
Characteristics of the educational program: The program includes theoretical study in disciplines in the form of auditorium classes (lectures, seminars and practical studies) and independent work. Studying time of students by the disciplines cycles is divided into the cycle of the general training (99 credits ECTS or 41,25%) and the cycle of professional training (141 credits ECTS or 58,75%). The workload of a graduate student includes required components (179 ECTS credits or 74,6%) and elective components (61 ECTS credits or 25,4%). A student receives credits in case of successfully passed tests or exams in written or oral form and successful defense of course project and reports of practice. Total number of ECTS credits is 240,0 taking into account semester control, pre-graduation practice (4,5 ECTS credits), preparing and defense Bachelor’s thesis (7,5 ECTS credits).
Програмні результати навчання: 1. Demonstrate knowledge and understanding of basic concepts, principles, and theories of applied mathematics and use them in practice.
2. Possess basic provisions and methods of mathematical, complex and functional analysis, linear algebra and number theory, analytical geometry, theory of differential equations, in particular partial derivative equations, probability theory, mathematical statistics and random processes, numerous methods and modern information technologies for collecting, processing and storing information.
3. Formalize problems formulated in the language of a particular subject area; formulate their mathematical formulation and choose the best method of solution; solve the obtained problems by analytical and numerical methods, evaluate the accuracy and reliability of the obtained results.
4. Perform mathematical description, analysis and synthesis of discrete objects and systems using the concepts and methods of discrete mathematics and algorithm theory.
5. Be able to develop and use in practice algorithms related to the approximation of functional relationships, numerical differentiation and integration, solution of algebraic, differential and integral equations, solution of boundary value problems, search for optimal solutions.
6. Possess basic methods of developing discrete and continuous mathematical models of objects and processes, analytical study for existence and uniqueness of their solutions.
7. Be able to conduct practical research and find solutions to incorrect problems.
8. Combine methods of mathematical and computer modeling with informal expert analysis procedures to find optimal solutions.
9. Be able to think abstractly, apply analysis and synthesis to identify the key characteristics of financial systems, as well as the behavior of their subjects.
10. To know the methods of choosing rational methods and algorithms of solving mathematical problems for the study of financial processes and data analysis.
11. Know and understand the functioning of money markets, the banking system, and insurance.
12. Apply appropriate mathematical methods and models to solve financial problems.
13. Use specialized information systems, modern monetary technologies and software products.
14. Identify the capacity for self-study and continued professional development.
15. Be able to organize your activities and get results within a limited amount of time.
16. Demonstrate skills of interaction with other people, the ability to work in a team.
17. Be able to collect, elaborate, analyze, and systematize scientific and technical information while avoiding academic dishonesty.
18. Communicate effectively on information, ideas, problems and solutions with professionals and the community at large.
19. Gather and interpret relevant data and analyze complexities within their specialty to convey judgments that reflect relevant social and ethical issues.
20. Demonstrate professional communication skills, including oral and written communication in Ukrainian and at least one of the official EU languages.
Academic mobility: On the basis of bilateral agreements between the National Lviv Polytechnic National University and technical universities of Ukraine, as well as within the framework of the EU Erasmus+ program.
Programme director: Ph.D. in Economics, Olena V. Gaiduchok, phone: +38 (032) 258-23-68, e-mail: olena.v.gaiduchok@lpnu.ua
Occupational profiles of graduates: Public and private sector jobs in a variety of fields of work, in particular: related to the research of mathematical models of socioeconomic and financial systems, construction and maintenance of information systems related to data collection, processing and analysis.
Access to further studies: Obtaining the second (master's) level