Financial Engineering

Full-time studies

Full-time studies

Department

Faculty of Business Management
Program code

6211LX060
Field of study

Business and Public Management
Qualification

Master of Business Management
Duration

1.5

Fun fact

This hybrid (synchronous) Master’s programme combines in-person classes with simultaneous online streaming. Exams are held at VILNIUS TECH facilities.

Even the best business ideas require funding, and financial engineering provides tools to meet these needs effectively. This programme integrates societal interests and market needs, fostering interaction among students, the university, businesses, and the public sector.

About

The Master’s in Financial Engineering equips students with knowledge of both classical financial management theories and innovative financial tools. Students develop engineering and project-oriented thinking, with a focus on evaluating financial risk under uncertainty and making critical financial management decisions. Quantitative research methods, databases, and computer programs are applied to build practical skills in areas such as investment portfolio management, financial technology, and anti-money laundering.

Specialisations

Financial Technologies (FinTech)

Focuses on technology-driven financial innovations that create new business models, processes, and products, affecting financial markets and institutions. Graduates gain the skills to apply financial engineering principles to develop and implement efficient, scientifically grounded FinTech solutions.

Investment Management

Trains specialists to manage investments effectively using innovative tools and solutions. Graduates develop investment intelligence and forecasting skills to turn investments into financial assets and create value in currency, capital, funds, and derivative markets.

Anti-Money Laundering (AML)

Focuses on identifying and mitigating risks associated with criminally obtained income, including cybercrime. Graduates learn to apply theoretical and research-based knowledge to solve practical financial and compliance challenges.

What will I be able to do?

Graduates will be able to:
• Apply financial engineering concepts, research methodologies, and quantitative/expert decision-making methods
• Understand financial technology development, application, regulation, and problem-solving techniques
• Manage investments and solve related challenges, applying modern investment management methods
• Apply AML principles, regulations, and risk engineering to complex situations
• Analyse, synthesise, and evaluate research data, integrate financial engineering knowledge, and make decisions under risk and uncertainty.
Specialisation-Specific Competencies
• FinTech: Create, adapt, and apply financial technology tools and conduct scientific research in FinTech
• Investment Management: Provide investment consultation, develop investment projects, and forecast outcomes, and conduct scientific research in Investment Management
• AML: Identify complex AML issues, apply theoretical models, and make informed decisions under uncertainty, and conduct scientific research in AML.
What are my career opportunities?

Graduates can pursue roles such as:
• Financial specialists in international and national organisations, banks, and FinTech companies
• Managers in organisations specialising in FinTech, investment management, or AML solutions
• Professionals in banks, investment management, and brokerage firms
• is eligible to pursue doctoral studies and conduct scientific research in investment, FinTech, or AML.

1 Semester

Specialization: Investment Management
obligatory

VVFRM17203 9 credits

Analysis of Investment Possibilities (with course project)

Module aim

To provide students with knowledge of the investment possibilities in search techniques, the same investment opportunities, revealing the individual property risks and income-earning opportunities to teach to invest not only in choosing one type of asset, but also in shaping the portfolio and to write a scientific essay.

Module description

Analysis of Investment Possibilities course examines the concept of investment and types of fundamental and technical analysis as an investment opportunity search techniques, traditional and alternative investments, highlighting their similarities and differences and advantages of the risk-benefit ratio. The relevant individual investment theory to help shape the securities portfolio and manage it.
VVFRM20201 6 credits

Financial Engineering

Module aim

To provide innovative knowledge about contemporary instruments of financial engineering and their application methods, derivative financial instruments, to learn how to analyse and implement in practise the newest investment portfolio formation and risk management methods.

Module description

The subject of financial engineering provides knowledge about the essence of financial engineering as a science, its methods and instruments, as well as their application in various fields. A lot of attention is paid to the derivative investment instruments, to measure and evaluate their profitability, risk and other parameters, to take reliable investment decisions. Students get acquainted with contemporary investment portfolio formation models and theories. Students learn how to take financial engineering decisions in the management of financial and non-financial company risk, in the valuation of company activity and in avoiding bankruptcy.
VVFRM17206 6 credits

Investing Psychology

Module aim

To provide knowledge for students about psychological aspects of investment, covering the most important provisions of financial behaviour that help determine and assess biases from rational behaviour, as well as learn to evaluate the role of these biases in making investment decisions.

Module description

The course of investment psychology analyses the essence and peculiarities of financial behaviour, behaviour of non-professional investors, the cases of rational and irrational behaviour, including such cognitive biases as overconfidence, cognitive dissonance, illusion of control, conservatism, mental accounting, etc., and emotional biases from rational behaviour (self-control, optimism, loss aversion, regret aversion). The reasons of investment decisions of individual investors are analysed, as well as impact of psychological factors on investment management.
VVEIM17401 6 credits

Methodology of Scientific Research

Module aim

To familiarize students with the theoretical foundations of scientific research, methodological principles, and practical applications; to develop the ability to independently plan, organize, and conduct empirical research using quantitative and qualitative methods, ensuring validity, reliability, and compliance with ethical standards, as well as integrating modern technologies, including artificial intelligence tools, in data analysis and interpretation.

Module description

The Research Methodology subject is designed to provide an in-depth analysis of the concept of science and scientific research, as well as the logic and structure of research. The subject covers the stages of empirical research, problem formulation, hypothesis development (if applicable), research design selection, data collection strategies and methods, methodological features of quantitative and qualitative research, principles of data analysis, and ensuring validity and reliability. It also addresses research ethics and contemporary research trends, including the application of artificial intelligence and automated analytical tools for data collection, processing, and result interpretation. The subject includes principles for interpreting research results and preparing to present their findings in a verbal and written form.
VVFRM17101 3 credits

Master Graduation Thesis 1

Module aim

To carry out the theoretical research necessary for the final thesis, to highlight the relevance of the topic and the object of the work, to formulate the scientific problem, the aim and objectives of the work, to carry out an analysis of the scientific literature on the chosen topic of the final thesis. Prepare the content, introduction, theoretical part of the thesis in accordance with the thesis requirements.

Module description

During Master Thesis 1 discipline students choose the final thesis’ topic corresponding Investment Management specialization, raise scientific problem, objective, set the goal/aim and determine tasks, describe the location of research and research limitations, prepare an expanded plan of the research and conduct scientific literature review. The report of research work is prepared, in which research object, tasks, results of theoretical researches, their generalization and interpretation are submitted.

Specialization: Anti-Money Laundering
obligatory

VVFRM24101 9 credits

Money Laundering Prevention Policy and Regulation (with course project)

Module aim

The subject provides a comprehensive understanding of money laundering and the financing of terrorism processes and their threats to financial systems. Knowledge is provided about international and national laws regulating money laundering prevention. Skills are developed to create and implement effective money laundering prevention policies and procedures in financial institutions. Introduction to modern technologies and their application in money laundering prevention is also provided.

Module description

To provide comprehensive theoretical and practical knowledge about money laundering processes, prevention measures, and international and national regulations.
VVFRM24102 6 credits

Sustainability Assessment of Financial Institutions

Module aim

This study subject aims to provide students with theoretical and practical knowledge about measuring and evaluating the results of sustainable development of organisations. By focusing on the economic, environmental and social indicators of the organisation and understanding sustainable development as the creation of added value in the organisation, students will acquire the skills to formulate objectives, select appropriate performance indicators and methods to measure change, implement accountability and recognise the relationship between sustainable development, organisational value and financial results.

Module description

This comprehensive “Sustainability Assessment of Financial Institutions” study subject examines the role of sustainable development at the levels of performance assessment of financial institutions. The study subject will provide a holistic understanding of the application of economic, environmental and social indicators to measure sustainability outcomes. Will become familiar with the importance of sustainability integration for long-term competitiveness and will understand sustainability as the creation of added value in the institution. It will examine the internal relationship between sustainable development, institutional value and financial performance. Upon completion of this study subject, students will be well prepared to evaluate and measure the results of sustainable development in an organisation to make informed decisions by analysing and assessing the links between organisational value, financial results and sustainable development, which contribute to the long-term success and positive impact of organisations in a dynamic global environment.
VVFRM20201 6 credits

Financial Engineering

Module aim

To provide innovative knowledge about contemporary instruments of financial engineering and their application methods, derivative financial instruments, to learn how to analyse and implement in practise the newest investment portfolio formation and risk management methods.

Module description

The subject of financial engineering provides knowledge about the essence of financial engineering as a science, its methods and instruments, as well as their application in various fields. A lot of attention is paid to the derivative investment instruments, to measure and evaluate their profitability, risk and other parameters, to take reliable investment decisions. Students get acquainted with contemporary investment portfolio formation models and theories. Students learn how to take financial engineering decisions in the management of financial and non-financial company risk, in the valuation of company activity and in avoiding bankruptcy.
VVEIM17401 6 credits

Methodology of Scientific Research

Module aim

To familiarize students with the theoretical foundations of scientific research, methodological principles, and practical applications; to develop the ability to independently plan, organize, and conduct empirical research using quantitative and qualitative methods, ensuring validity, reliability, and compliance with ethical standards, as well as integrating modern technologies, including artificial intelligence tools, in data analysis and interpretation.

Module description

The Research Methodology subject is designed to provide an in-depth analysis of the concept of science and scientific research, as well as the logic and structure of research. The subject covers the stages of empirical research, problem formulation, hypothesis development (if applicable), research design selection, data collection strategies and methods, methodological features of quantitative and qualitative research, principles of data analysis, and ensuring validity and reliability. It also addresses research ethics and contemporary research trends, including the application of artificial intelligence and automated analytical tools for data collection, processing, and result interpretation. The subject includes principles for interpreting research results and preparing to present their findings in a verbal and written form.
VVFRM24103 3 credits

Master Graduation Thesis 1

Module aim

To carry out the theoretical research necessary for the final thesis, to highlight the relevance of the topic and the object of the work, to formulate the scientific problem, the aim and objectives of the work, to carry out an analysis of the scientific literature on the chosen topic of the final thesis. Prepare the content, introduction, theoretical part of the thesis in accordance with the thesis requirements.

Module description

During Master Thesis 1 discipline students choose the final thesis’ topic corresponding Money Laundering Prevention specialization, raise scientific problem, objective, set the goal/aim and determine tasks, describe the location of research and research limitations, prepare an expanded plan of the research and conduct scientific literature review. The report of research work is prepared, in which research object, tasks, results of theoretical researches, their generalization and interpretation are submitted.

Specialization: Financial Technologies (FinTech)
obligatory

VVFRM19101 9 credits

FinTech Evolution and Regulation (with course project)

Module aim

The aim of the course is to provide the following knowledge and skills for the students: 1. to understand the principles of FinTech regulation. 2. To understand licensing procedures and requirements for this sector. 3. To understand the imprtance of data protection and information security. 4. Learn to write a scientific essay.

Module description

The course of FinTech Evolution and Regulation will alow for students to better understand the principles on which is based the regulation of this sector, the importance of information and how are regulating relationships between business, consumers and government institutions.
VVFRM20201 6 credits

Financial Engineering

Module aim

To provide innovative knowledge about contemporary instruments of financial engineering and their application methods, derivative financial instruments, to learn how to analyse and implement in practise the newest investment portfolio formation and risk management methods.

Module description

The subject of financial engineering provides knowledge about the essence of financial engineering as a science, its methods and instruments, as well as their application in various fields. A lot of attention is paid to the derivative investment instruments, to measure and evaluate their profitability, risk and other parameters, to take reliable investment decisions. Students get acquainted with contemporary investment portfolio formation models and theories. Students learn how to take financial engineering decisions in the management of financial and non-financial company risk, in the valuation of company activity and in avoiding bankruptcy.
VVFRM18103 6 credits

Payment Industry

Module aim

The aim of this course is to provide participants with a comprehensive understanding of the payment industry and its ever-evolving dynamics. Throughout the course, participants will gain insights into the various payment methods, regulation, technologies, and trends that shape this ecosystem. By the end of the course, participants will be equipped with the knowledge and tools necessary to navigate the rapidly changing landscape of the payment industry, enabling them to make informed decisions and contribute to the growth and development of this crucial sector.

Module description

The payment industry course will allow to understand the mechanisms of monetary value transfer on the market, the specificity of their operation, the regulatory models, the practical aspects of the payment service.
VVEIM17401 6 credits

Methodology of Scientific Research

Module aim

To familiarize students with the theoretical foundations of scientific research, methodological principles, and practical applications; to develop the ability to independently plan, organize, and conduct empirical research using quantitative and qualitative methods, ensuring validity, reliability, and compliance with ethical standards, as well as integrating modern technologies, including artificial intelligence tools, in data analysis and interpretation.

Module description

The Research Methodology subject is designed to provide an in-depth analysis of the concept of science and scientific research, as well as the logic and structure of research. The subject covers the stages of empirical research, problem formulation, hypothesis development (if applicable), research design selection, data collection strategies and methods, methodological features of quantitative and qualitative research, principles of data analysis, and ensuring validity and reliability. It also addresses research ethics and contemporary research trends, including the application of artificial intelligence and automated analytical tools for data collection, processing, and result interpretation. The subject includes principles for interpreting research results and preparing to present their findings in a verbal and written form.
VVFRM18105 3 credits

Master Graduation Thesis 1

Module aim

To carry out the theoretical research necessary for the final thesis, to highlight the relevance of the topic and the object of the work, to formulate the scientific problem, the aim and objectives of the work, to carry out an analysis of the scientific literature on the chosen topic of the final thesis. Prepare the content, introduction, theoretical part of the thesis in accordance with the thesis requirements.

Module description

During Master Thesis 1 discipline students choose the final thesis’ topic corresponding Financial Technologies (FinTech) specialization, raise scientific problem, objective, set the goal/aim and determine tasks, describe the location of research and research limitations, prepare an expanded plan of the research and conduct scientific literature review. The report of research work is prepared, in which research object, tasks, results of theoretical researches, their generalization and interpretation are submitted.

2 Semester

Specialization: Investment Management
obligatory

VVFRM18201 9 credits

Management of Financial Investment (with course project)

Module aim

To acquire knowledge and competence to apply financial investment management methods, optimize portfolio of financial investments and to choose the investor needs meeting investment management solutions.

Module description

During this course students get acquainted with the problem of financial investment management, with modern investment portfolio theory and investment management strategies, learn to apply investment instruments’ and their portfolios’ return and risk evaluation, investment portfolio selection methods, to propose the improvements in the development of financial investment management strategies and decision support systems.
VVEIM17108 6 credits

Quantitative and Expert Decision Making Methods

Module aim

To form the system of theoretical knowledge, which enables to make the multiple criteria analysis of processes and entitiesof various social and economic sectors.
To teach students to perform empirical analysis of economic processes in various sectors of economy and entities, to maketheir evaluation by various multiple criteria evaluation methods.
To teach students how to interpret and generalise results of multiple criteria evaluation by using theoretical knowledge of economics.

Module description

The course “Quantitative Expert Solution Methods” is devoted to methods designed for both analysing complex socioeconomic processes, and for evaluation of influence of values of criteria of different formats on a chosen characteristic of such processes. Skills enabling students to make analysis of processes and entities of various social and economical sectors, to create mathematical models of such processes, to make quantitative evaluation of characteristics of a process, to use software are delivered to students.
VVFRM25202 6 credits

Scientific Research Project

Module aim

To embed theoretical knowledge acquainted during the studies in practice, understand and evaluate the organization’s investment management aspects of business processes through innovative research methods, summarize the investment organizations business process assessments, and develop investment-based solutions for business process improvement or research methods, the formation of independent research skills.

Module description

Scientific practice is provided part of the study process of specialization program and combines specialization subjects study theoretical knowledge in finance engineering, investment management activities in dealing with information relating to the activities of scientific problems.
During the practice time, postgraduates get familiar with the information in the organization investment processes, process assessment and improvement of the applicable instruments and acquire practical skills and skills using modern investment management theories and investment activities and assessment tools to analyze and solve complex scientific problems related to investment activities increase process efficiency.
VVFRM17201 3 credits

Master Graduation Thesis 2

Module aim

To prepare highly qualified Masters of investment management specialisation who have the knowledge of financial investment management and can analyse, interpret and apply them under economic development conditions.

Module description

During the course Master Thesis 2, the analysis of scientific, methodological, normative and other information sources corresponding to the topic of investment management is conducted, and the research methodology (the application of quantitative and qualitative data collection and processing methods, and the use of relevant computer programmes for solving scientific problem) is prepared. The report of Final Master Thesis 2, which includes the revised introduction of the Master Graduation Thesis, summarised results of theoretical analysis, the description of research methodology, and conclusions of both theoretical and methodical parts.

Specialization: Anti-Money Laundering
obligatory

VVFRM24201 9 credits

Risk Engineering of Financial institutions (with course project)

Module aim

To provide students with complex knowledge about the place of risk in business, investments, financial systems. Introduce risk management standards and methodologies. To provide knowledge and practical skills in understanding the origin of risks through its analysis, assessment and management. Provide knowledge of how individual risks manifest themselves in uncertain environments and the ability to control and influence them.

Module description

The risk engineering course of financial institutions examines the essence of risk in business, investment, the financial system, analyzes the process of identifying, assessing and managing risk factors. Particular attention has been paid to the most important risks for financial institutions in recent times, such as credit, operational and market risks, which, due to the impact of fintech and rapid growth, are gaining increasing importance in the risk analysis and management process.
VVEIM17108 6 credits

Quantitative and Expert Decision Making Methods

Module aim

To form the system of theoretical knowledge, which enables to make the multiple criteria analysis of processes and entitiesof various social and economic sectors.
To teach students to perform empirical analysis of economic processes in various sectors of economy and entities, to maketheir evaluation by various multiple criteria evaluation methods.
To teach students how to interpret and generalise results of multiple criteria evaluation by using theoretical knowledge of economics.

Module description

The course “Quantitative Expert Solution Methods” is devoted to methods designed for both analysing complex socioeconomic processes, and for evaluation of influence of values of criteria of different formats on a chosen characteristic of such processes. Skills enabling students to make analysis of processes and entities of various social and economical sectors, to create mathematical models of such processes, to make quantitative evaluation of characteristics of a process, to use software are delivered to students.
VVFRM25203 6 credits

Scientific Research Project

Module aim

To embed theoretical knowledge acquainted during the studies in practice, understand and evaluate the organization’s value engineering aspects of business processes through innovative research methods, summarize the value engineering organizations business process assessments, and develop value-based solutions for business process improvement or research methods, the formation of independent research skills.

Module description

Scientific practice is provided part of the study process of specialization program and combines specialization subjects study theoretical knowledge in finance engineering, value engineering activities in dealing with information relating to the activities of scientific problems.
During the practice time, postgraduates get familiar with the information in the organization value engineering processes, process assessment and improvement of the applicable instruments and acquire practical skills and skills using modern value engineering theories and activities and assessment tools to analyze and solve complex scientific problems related to value engineering activities increase process efficiency.
VVFRM24202 3 credits

Master Graduation Thesis 2

Module aim

To prepare high qualification business Masters of money laundering prevention specialisation, who have the knowledge of money laundering prevention and are able to analyse, interpret and apply them under conditions of economic development.

Module description

During the course Master Thesis 2 the analysis of scientific, methodological, normative and other information sources, corresponding to topic of aviation management, is conducted and the research methodology (the application of quantitative and qualitative data collection and processing methods and the use of relevant computer programmes for solving scientific problem) is prepared. The report of Final Master Thesis 2, which includes the revised Introduction of Final Master Thesis, summarized results of theoretical analysis, the description of research methodology, and conclusions of both theoretical and methodical parts, is developed.

Specialization: Financial Technologies (FinTech)
obligatory

FMSAM18258 9 credits

Programming for FinTech (with course project)

Module aim

To introduce the main peculiarities of programming Python and the possibilities of using this programming language for FinTech.

Module description

The module examines the main elements of FinTech programming. Introduces with Python programming language syntax, the main Python modules for FinTech.
VVEIM17108 6 credits

Quantitative and Expert Decision Making Methods

Module aim

To form the system of theoretical knowledge, which enables to make the multiple criteria analysis of processes and entitiesof various social and economic sectors.
To teach students to perform empirical analysis of economic processes in various sectors of economy and entities, to maketheir evaluation by various multiple criteria evaluation methods.
To teach students how to interpret and generalise results of multiple criteria evaluation by using theoretical knowledge of economics.

Module description

The course “Quantitative Expert Solution Methods” is devoted to methods designed for both analysing complex socioeconomic processes, and for evaluation of influence of values of criteria of different formats on a chosen characteristic of such processes. Skills enabling students to make analysis of processes and entities of various social and economical sectors, to create mathematical models of such processes, to make quantitative evaluation of characteristics of a process, to use software are delivered to students.
VVFRM25201 6 credits

Scientific Research Project

Module aim

To embed theoretical knowledge acquainted during the studies in practice, understand and evaluate the organization’s FinTech aspects through innovative research methods, summarize the assessments of organizations’ FinTech, and develop investment-based solutions for FinTech improvement or research methods, the formation of independent research skills.

Module description

Scientific practice is provided part of the study process of specialization program and combines specialization subjects study theoretical knowledge in finance engineering, FinTech in dealing with information relating to the activities of scientific problems.
During the practice time postgraduates get familiar with the information in the organization FinTech, process assessment and improvement of the applicable instruments and acquire practical skills and skills using modern FinTech theories and assessment tools to analyze and solve complex scientific problems related to increase FinTech efficiency.
VVFRM18202 3 credits

Master Graduation Thesis 2

Module aim

To prepare high qualification business Masters of FinTech specialisation, who have the knowledge of financial technologies and are able to analyse, interpret and apply them under conditions of economic development.

Module description

During the course Master Thesis 2 the analysis of scientific, methodological, normative and other information sources, corresponding to topic of aviation management, is conducted and the research methodology (the application of quantitative and qualitative data collection and processing methods and the use of relevant computer programmes for solving scientific problem) is prepared. The report of Final Master Thesis 2, which includes the revised Introduction of Final Master Thesis, summarized results of theoretical analysis, the description of research methodology, and conclusions of both theoretical and methodical parts, is developed.

Specialization: Investment Management
one of the following

VVFRM17103 6 credits

Financial Systems

Module aim

To prepare specialists capable of understanding of financial system role in the economy, to provide knowledge of financial system’s functions, financial instruments and derivative financial instruments. To coprehend classification of financial institutions and their role in the financial system. To provide the ability to analyse the factors linking all the financial markets, identify and evaluate the supply and demand of financial instruments.

Module description

The importance of financial system in the economics. The function of financial system. Financial instruments. Financial markets. Instruments of money and capital markets. Financial institutions. Types of financial markets (opened/conventional; primary/secondary; existing products/ future and option markets). Factors linking all financial markets. Types of production. Quantity and flows of financial instruments in financial markets. Financial institutions as companies. Financial institutions as intermediaries. Classification of financial institutions and their role in the financial system. Portfolio decisions of intermediaries and other financial institutions. Financial system operation’s motives. The role of supervision of institutions in the financial markets.
VVTVM24203 6 credits

Change Management

Module aim

To provide a theoretical background of organizational change management and comprehensive understanding of the organizational change management process. To highlight the knowledge, skills, and resources that will most assist the managers in making effective decisions and undertaking successful actions. To develop practical skills of organizational change management.

Module description

Taking into account the peculiarities of contemporary organizational change management of organizations and analyzing international business experience, the students are acquainted with the main models and tools of organizational change management; the role of leadership is discussed; the problems of resistance to organizational change are highlighted; the tools which allow to overcome these problems and successfully implement business strategy are presented.
VVEIM23401 6 credits

Contemporary Economies

Module aim

To provide theoretical and practical knowledge about the advanced economies, to develop a modern understanding about the application of this knowledge, as well as about the scientific cognition and research on the problems and phenomena of economic development.

Module description

During the course of Advanced economics the following issues are analysed variety, differences and content of modern and contemporary economic trends, such as: wellbeing economics; institutional economics; circular economy; digital economy; knowledge economy, studying the intangible resources, transaction cost influent; analyzes assessment indicators of relevant advanced economic areas.The main problems occurring in advanced economies are analyzed, the possible solutions of these problems are discussed.
VVVKM24205 6 credits

Sustainable Business

Module aim

Develop the abilities to create, manage, and develop sustainable businesses, to make system-based strategic decisions, and to implement eco, technological, and social innovations in business to achieve global sustainable development goals and to increase the competitive advantage of business.

Module description

The Sustainable Business Development course analyses the concept of sustainable development and the problematic aspects of its implementation at the macro- and micro-level. The content of the three dimensions of sustainable development (economic, social, and environmental) and the expression of their interaction in business are examined. The sustainable business development models, their selection options, and the methods of sustainable development assessment and accountability applied in the business are analysed. The critical points of organisation’s activities that have the greatest impact on the environment and society in the context of sustainable development are identified. Modelling environmental, social, and economic actions for sustainable development that meet international and national requirements, reduce environmental and societal impacts, and contribute to the sustainable development of organisation by applying expert assessment and multicriteria evaluation methods.

Specialization: Anti-Money Laundering
one of the following

VVFRM17103 6 credits

Financial Systems

Module aim

To prepare specialists capable of understanding of financial system role in the economy, to provide knowledge of financial system’s functions, financial instruments and derivative financial instruments. To coprehend classification of financial institutions and their role in the financial system. To provide the ability to analyse the factors linking all the financial markets, identify and evaluate the supply and demand of financial instruments.

Module description

The importance of financial system in the economics. The function of financial system. Financial instruments. Financial markets. Instruments of money and capital markets. Financial institutions. Types of financial markets (opened/conventional; primary/secondary; existing products/ future and option markets). Factors linking all financial markets. Types of production. Quantity and flows of financial instruments in financial markets. Financial institutions as companies. Financial institutions as intermediaries. Classification of financial institutions and their role in the financial system. Portfolio decisions of intermediaries and other financial institutions. Financial system operation’s motives. The role of supervision of institutions in the financial markets.
VVTVM24203 6 credits

Change Management

Module aim

To provide a theoretical background of organizational change management and comprehensive understanding of the organizational change management process. To highlight the knowledge, skills, and resources that will most assist the managers in making effective decisions and undertaking successful actions. To develop practical skills of organizational change management.

Module description

Taking into account the peculiarities of contemporary organizational change management of organizations and analyzing international business experience, the students are acquainted with the main models and tools of organizational change management; the role of leadership is discussed; the problems of resistance to organizational change are highlighted; the tools which allow to overcome these problems and successfully implement business strategy are presented.
VVEIM23401 6 credits

Contemporary Economies

Module aim

To provide theoretical and practical knowledge about the advanced economies, to develop a modern understanding about the application of this knowledge, as well as about the scientific cognition and research on the problems and phenomena of economic development.

Module description

During the course of Advanced economics the following issues are analysed variety, differences and content of modern and contemporary economic trends, such as: wellbeing economics; institutional economics; circular economy; digital economy; knowledge economy, studying the intangible resources, transaction cost influent; analyzes assessment indicators of relevant advanced economic areas.The main problems occurring in advanced economies are analyzed, the possible solutions of these problems are discussed.
VVVKM24205 6 credits

Sustainable Business

Module aim

Develop the abilities to create, manage, and develop sustainable businesses, to make system-based strategic decisions, and to implement eco, technological, and social innovations in business to achieve global sustainable development goals and to increase the competitive advantage of business.

Module description

The Sustainable Business Development course analyses the concept of sustainable development and the problematic aspects of its implementation at the macro- and micro-level. The content of the three dimensions of sustainable development (economic, social, and environmental) and the expression of their interaction in business are examined. The sustainable business development models, their selection options, and the methods of sustainable development assessment and accountability applied in the business are analysed. The critical points of organisation’s activities that have the greatest impact on the environment and society in the context of sustainable development are identified. Modelling environmental, social, and economic actions for sustainable development that meet international and national requirements, reduce environmental and societal impacts, and contribute to the sustainable development of organisation by applying expert assessment and multicriteria evaluation methods.

Specialization: Financial Technologies (FinTech)
one of the following

VVFRM17103 6 credits

Financial Systems

Module aim

To prepare specialists capable of understanding of financial system role in the economy, to provide knowledge of financial system’s functions, financial instruments and derivative financial instruments. To coprehend classification of financial institutions and their role in the financial system. To provide the ability to analyse the factors linking all the financial markets, identify and evaluate the supply and demand of financial instruments.

Module description

The importance of financial system in the economics. The function of financial system. Financial instruments. Financial markets. Instruments of money and capital markets. Financial institutions. Types of financial markets (opened/conventional; primary/secondary; existing products/ future and option markets). Factors linking all financial markets. Types of production. Quantity and flows of financial instruments in financial markets. Financial institutions as companies. Financial institutions as intermediaries. Classification of financial institutions and their role in the financial system. Portfolio decisions of intermediaries and other financial institutions. Financial system operation’s motives. The role of supervision of institutions in the financial markets.
VVTVM24203 6 credits

Change Management

Module aim

To provide a theoretical background of organizational change management and comprehensive understanding of the organizational change management process. To highlight the knowledge, skills, and resources that will most assist the managers in making effective decisions and undertaking successful actions. To develop practical skills of organizational change management.

Module description

Taking into account the peculiarities of contemporary organizational change management of organizations and analyzing international business experience, the students are acquainted with the main models and tools of organizational change management; the role of leadership is discussed; the problems of resistance to organizational change are highlighted; the tools which allow to overcome these problems and successfully implement business strategy are presented.
VVEIM23401 6 credits

Contemporary Economies

Module aim

To provide theoretical and practical knowledge about the advanced economies, to develop a modern understanding about the application of this knowledge, as well as about the scientific cognition and research on the problems and phenomena of economic development.

Module description

During the course of Advanced economics the following issues are analysed variety, differences and content of modern and contemporary economic trends, such as: wellbeing economics; institutional economics; circular economy; digital economy; knowledge economy, studying the intangible resources, transaction cost influent; analyzes assessment indicators of relevant advanced economic areas.The main problems occurring in advanced economies are analyzed, the possible solutions of these problems are discussed.
VVVKM24205 6 credits

Sustainable Business

Module aim

Develop the abilities to create, manage, and develop sustainable businesses, to make system-based strategic decisions, and to implement eco, technological, and social innovations in business to achieve global sustainable development goals and to increase the competitive advantage of business.

Module description

The Sustainable Business Development course analyses the concept of sustainable development and the problematic aspects of its implementation at the macro- and micro-level. The content of the three dimensions of sustainable development (economic, social, and environmental) and the expression of their interaction in business are examined. The sustainable business development models, their selection options, and the methods of sustainable development assessment and accountability applied in the business are analysed. The critical points of organisation’s activities that have the greatest impact on the environment and society in the context of sustainable development are identified. Modelling environmental, social, and economic actions for sustainable development that meet international and national requirements, reduce environmental and societal impacts, and contribute to the sustainable development of organisation by applying expert assessment and multicriteria evaluation methods.

3 Semester

Specialization: Investment Management
obligatory

VVFRM17301 24 credits

Master Graduation Thesis

Module aim

To prepare highly qualified masters in the Finance field of Investment Management specialisation who are able to choose the right scientific research methods in the investment management area, conduct research, analyse and interpret the obtained results, and make effective decisions based on them.

Module description

The master’s thesis deals with a scientific problem of applied nature chosen by the master’s student. The following requirements are set for the Master Graduation thesis: a relevant topic corresponding to the Investment Management specialisation is selected, the significance of the solved problem is justified, the academic and professional literature on the subject is summarised, research methodology is prepared, advanced experience and modern research instruments are used (methods, models, data databases, application packages), an intellectual product is created, its suitability is empirically verified, the efficiency and economic feasibility of solutions are evaluated, and research results are summarised.
VVFRM24303 6 credits

Management of Investment Projects

Module aim

To provide theoretical and practical knowledge about investment projects, their concepts, classification, the variety of project life cycles, the peculiarities of jobs performed in separate project phases, project research (feasibility study) performance methodologies, their application peculiarities for separate business projects, to provide knowledge on project research conducting, investment and production cost estimation, evaluation of particular project with regard to financial aspects.

Module description

This subject analyses investment projects, their types, project life-cycles, job peculiarities performed in the separate phases of the project, project research (feasibility study) performance methodologies. The order of project research performance is analysed in details, discussing the jobs necessary to perform in every department in order to implement the project, as well as the resources required for these jobs. The sequence of project financial analysis performance is investigated, as well as financial, economic, social and efficiency indicators, risk and uncertainty analysis, risk evaluation methods and ways of risk diminishing. The peculiarities of project preparation and evaluation are analysed with regard to achievement of financial support from EU structural funds.

Specialization: Anti-Money Laundering
obligatory

VVFRM24306 24 credits

Master Graduation Thesis

Module aim

To prepare high qualification business Masters of money laundering prevention specialisation, who have the knowledge of modern money laundering prevention methods and are able to apply them under business conditions, to pursue the analysis of information processes and develop the methods of knowledge management seeking to integrate the results to make effective business decisions, to form innovative environment, also to implement money laundering prevention systems committed to increase the efficiency of multi-level business.

Module description

The Master Graduation Thesis is integrating scientific knowledge and abilities of courses of money laundering prevention specialisation of finance engineering study programme, solving scientific problems of money laundering prevention. Master students preparing graduation thesis forming and evaluating solutions alternatives and present scientifically based decisions.
VVFRM24304 6 credits

Financial Data Analysis

Module aim

To provide students with the necessary skills and knowledge to use data analytics to combat modern money laundering schemes.

Module description

The integration of the interaction of knowledge, innovation and technology is examined using data analysis methods. Statistical, machine learning, forecasting and decision-making methods are examined, which help professionals to effectively use data analysis tools for money laundering detection and prevention. Students are practically introduced to databases, data storage tools, programming language application, big data analytics platforms and tools. Students are introduced to risk management, data protection and innovations in money laundering prevention.

Specialization: Financial Technologies (FinTech)
obligatory

VVFRM18303 24 credits

Master Graduation Thesis

Module aim

To prepare high qualification business masters of financial technologies specialisation, who have the knowledge of modern financial technologies and are able to analyse, interpret and apply them under conditions of organization development.

Module description

The selected scientific problem in the Master Graduation Thesis is solving. The Master Graduation Thesis contains the following requirements: the relevant topic of Financial Technologies specialization, the significance of solving problem, generalization of scientific and professional literature for analysing topic, preparation of research methodology, use of best practice and modern instruments of research (methods, models, databases, applied programme packages), intellectual product creation, empirical verification of its eligibility, economic reasoning of decisions and efficiency evaluation, research results generalization.
VVFRM24302 6 credits

Financial Big Data Analytics

Module aim

To introduce students to the application of the big data for financial management, investment decision-making.

Module description

Here are analysing knowledge, innovation and technology integration fostering big data. Processes for extracting, warehousing, visualizing and analysing of big financial data are being considered. Students are introduced to the methods, tools and software of big data analysis. Students are introduced to the application of the big data for financial management, investment decision-making.

Statistics

Metric	Value
Enrolled students	4
Enrolled to FT	4
Min FT grade	8.3

Financial Engineering

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Study subjects

1 Semester

Analysis of Investment Possibilities (with course project)

Module aim

Module description