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24. Data Structures and Algorithms |
3 |
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This course helps students understand the importance of organizing data and algorithms. The content of the course presents data structures including arrays, lists, stacks, queues, linked lists, trees, graphs; and today's popular search and sorting algorithms. In addition, the course also helps students supplement and perfect programming skills and programming thinking in building a computer program. |
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25. Introduction to Machine Learning |
3 |
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The basic machine learning module introduces the knowledge and skills of research and application of machine learning technology to meet the needs of learners who are doing applied research or performing administrative tasks. and data mining. Through the course, learners can grasp the basics of machine learning and basic applications such as: understanding the fundamentals of machine learning, basic machine learning models, current applications, etc. of machine learning and have the ability to independently initiate research projects related to machine learning applications. The main contents of the module include: machine learning overview, linear regression machine learning models, classifier machine learning models, clustering machine learning models and neural networks. |
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26. Financial Economics |
3 |
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The Financial Theory module of the undergraduate curriculum will provide students with the most basic knowledge of money, banking, and financial markets. The course introduces an overview of the formation, principles and functions of money and the financial system. At the same time, in the face of today's constant changes, a correct understanding of the economic nature, structure and principles of financial instruments will help students appreciate how the world is reshaping money and money. financial system. This module also helps students understand the structure, role and objectives of the Central Bank and Commercial Bank, traditional and non-traditional tools for implementing monetary policy on the economy. Finally, discussing and analyzing news reports and real-life situations will help students have a more intuitive perspective on the relationship between theory and practice, which is one of the important goals in orientation. building university training programs under the Faculty of Finance, University of Economics Ho Chi Minh City. |
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27. Financial Markets and Institutions |
3 |
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This module is designed to help students gain an understanding of financial markets, including money markets, capital markets, and the functioning of financial intermediaries. The basic contents associated with financial instruments such as equity instruments, debt instruments and derivatives are also covered in the module. At the same time, the module also presents the principles and working mechanism of the trading markets of the above financial instruments. |
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28. Corporate Finance |
3 |
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The course will provide students with the background knowledge related to financial management decisions in different types of businesses, especially for those in the public sector. public joint stock company. The content of this course deals with the nature of three important financial decisions that are investment decisions, financing decisions and decisions related to the management of current assets and current liabilities. This course also focuses on training essential skills for financial managers and investors such as financial analysis using accounting statements, the nature of debt and long-term sources of financing of the business. business, different alternative dividend policies and corporate values, short-term financial planning, etc. After completing this course, students can grasp the basic and modern knowledge to be able to study specialize in other subjects of finance or at a later level of study. |
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29. Financial Econometrics |
3 |
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Financial Econometrics course aims to equip students with basic knowledge of statistics and quantitative methods for the purpose of statistical inference and the testing of hypotheses in finance using data. historical and real-time data. From teaching and learning this subject will equip students with the knowledge to apply applied quantitative analysis and regression analysis techniques to develop and test research hypotheses in the field of finance, testing. relationships, if any, between financial variables such as corporate finance, international finance, financial investment, financial risk management, etc. In addition, students will also be able to use historical data to make predictions about the trends of important financial variables in the future, which today have many important real-world applications. This course also introduces students to some popular software such as Eviews, Stata which are now widely used by financial analysts and financial academic researchers to ensure they will be proficient in using computers to handle simple to complex econometric models, making it easier for her research work as well as for her future career. |
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30. Applications Programming |
3 |
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This module introduces basic concepts in computer programming with a focus on business applications. Students will develop an understanding of basic programming logic and learn to use basic programming constructs to solve business problems. Students are introduced to the object-oriented paradigm, the program development cycle, and programming principles. The program covers the basics of object-oriented programming, program design principles, programming structures, data types and structures, program testing, and debugging. Emphasis is placed on implementing procedurally structured programs, along with graphical user interfaces and event-driven code. Upon completion, students will be able to design, code, test, and debug programs based on business requirements in their chosen programming language. |
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31. A.I. for Finance and Banking |
3 |
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This module helps students learn the basics of Machine Learning and Artificial Intelligence (AI) and its applications in banking and finance. Additionally, it helps students understand and apply artificial intelligence in the field of finance-banking. |
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32. Applied Natural Language Processing |
3 |
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The course introduces the knowledge and skills to research and apply natural language processing technology to meet the needs of learners who are doing applied research, administration, and data mining. Through the course, learners can grasp the contents of natural language processing and its applications such as: Understanding the principles of natural language processing, machine models, etc. learning to use for natural language processing, and its current applications, and have the ability to independently initiate research projects related to natural language processing applications. |
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33. Introduction to Human-Computer Interaction |
3 |
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Human-computer interaction (HCI) is a discipline concerned with the design, evaluation, and implementation of interactive computer systems for human use and the study of the major phenomena surrounding them. In human-computer interaction, the main goal is to perform analysis, establish requirements, design and evaluate computer-based interactive systems and products for users. In terms of interaction, the course discusses the design of cognitive and perceptual screens (with attention, memory, thinking, role-playing, and senses...) in the experience of interacting with people. Human-machine communication model in business applications, based on virtual space, virtual assistants, mobile devices and robotics. The module values user experience on technology (UX/UI). |
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34. Blockchain and Crypto Assets |
3 |
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This course covers the latest crypto assets and blockchain technologies and their applications. It discusses blockchain and cryptocurrencies related issues and also explains how to provide the security differently through algorithms, frameworks, approaches, techniques and mechanisms. This course also provides knowledge about blockchain in relation to other technologies like IoT, big data, artificial intelligence, suggest legal issues, risks and solutions for managers, and policy implications. |
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35. Digital Banking and Fintech |
3 |
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Digital Banking and Fintech is a discipline that provides students with knowledge of how technology influences banking operations in commercial banks, as well as the traditional monitoring mechanisms. Especially, the subject demonstrates the technology breakthrough in digital banking and in the broader financial technology industry. Last but not least, the content of this course addresses future development in monetary, competition, regulation and management, and the changes in customer behavior regarding new technology. |
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36. Financial Investment |
3 |
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This course deals with the theories and practices related to financial investment management. With the goal of providing students with foundational to advanced knowledge combined with training necessary skills to meet the requirements of a number of career fields such as investment analysis, portfolio management at investment funds, securities companies, banks and other financial institutions. The course begins with basic knowledge of the investment environment, the types of investment assets as well as how securities are traded in the market and the operation of investment funds. After that, students continue to explore in-depth topics about risk - rate of return; theories of asset allocation; how stocks and bonds are valued as a basis for practicing setting up portfolios and managing portfolios in line with the goals and constraints of individual and institutional investors in the financial market. |
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37. International Finance |
3 |
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International Finance is a fairly modern subject because it is constantly updated in accordance with the development rhythm of the global financial market. It can be said that the content of International Finance is broad, including global movement trends of markets, financial institutions, financial products and techniques to the enactment of public policies stemming from the Government's need to regulate and regulate financial markets. Specifically, the subject of international finance provides learners with the knowledge to analyze the relationship between three important and closely related macroeconomic issues in an open economy: the exchange rate, movement direction of capital flows and financial crisis. To do that, on the one hand, this course equips students with the knowledge of classic theories in international finance that show the correlation between macroeconomic variables such as inflation, interest rates and exchange rates. such as interest rate parity, purchasing power parity, and the international Fisher effect. On the other hand, the subject of International Finance also provides learners with knowledge related to the international balance of payments, thereby helping learners to analyze the movement trends of trade flows, international capital flows and international capital flows. its effect on the health of the economy. In addition, this course also provides knowledge related to the factors affecting the exchange rate; implementation of government exchange rate policies and financial crisis models that have occurred over the past few decades. After completing the course, students will be able to understand the operation of the international financial market and transactions in the foreign exchange market, understand the international balance of payments and its influencing factors. advantages and disadvantages of exchange rate mechanisms and government intervention, understand and explain the relationship between macroeconomic factors as well as financial crisis mechanisms. |
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38. Corporate Governance, Social Responsibility and Ethics in Finance |
3 |
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The subject of Corporate Governance, Social Responsibility and Ethics in Finance is specially designed to equip learners with three blocks of knowledge that are intensively studied in the academic finance literature and attract attention from businesses, financial markets and governments: 1). Corporate Governance or Ethics oversight includes company policies and the laws by which it governs and shapes the way a joint stock company is to be controlled and operated. Students will be equipped with the basic skills to assess the quality of governance monitoring systems, thereby reducing potential conflicts between stakeholders, and thus, increasing the company’s value. This body of knowledge will provide the basic contents of the governance monitoring process from many different angles such as ownership structure, board structure and independence, the balance of power between managers and managers. Senior executives, investors, creditors, employees activities, authorities, other stakeholders, even the media, as well as evaluating the effectiveness, roles and responsibilities of stakeholders in improving the quality of public governance oversight. 2). Financial ethics is an issue that managers and investors need to understand when working in the financial sector. This is especially the case in situations where financial behavior is not clearly controlled and sanctioned by law, but can offer potential benefits to decision makers. And so administrators and investors will be tempted to break the rules and behave unethically with dire consequences. The course will equip students with knowledge of the fundamentals of financial ethics, ethics in customer relations, ethics in investment, ethics in financial markets and ethics in business. corporate financial management. Moreover, the students will be equipped with most recent knowledge from finance research in top academic outlets on how financial ethics matters to corporate value and policy. 3) Corporate Social Responsibility (CSR) is referred to as emerging practices in business in recent years, meaning businesses engage more in environmental, social and governance activities that foster sustainability and create new value for stakeholders, both financially and non-financially. That way, company value is enhanced and firms move toward sustainable development. By learning this module, students are to understand the importance of CSR, which is in line with corporate governance and financial ethics. The subject helps in fostering a healthy lifestyle and promoting ethics in finance, thus indirectly creating more value for the society. |
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39. Project |
3 |
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The course provides students with basic skills in project design methods and how to combine it with design thinking to carry out a small research project. Students will learn how to formulate research questions, collect and analyze data as required, and thereby present project results. At the same time, students will apply the design thinking process to identify and solve real-world problems. This module helps develop analytical, creative and critical thinking abilities in solving problems in social practice. Learning outcomes include completing a research project with high applicability and solving social problems. |
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- Elective: Select 1 out of 4 |
3 |
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40. Data Visualization |
3 |
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This module focuses on building creative and business skills to transform data into visual reports for the purpose of generating understanding, perception, inference, and information simplification. Students will learn how to use software to enter, organize, and visualize data emphasizing the application of principles of graphic design, perceptual art, and perceptual psychology to the creation of graphs and pages, elegant overview that conveys the essence of the insights, messages, or recommendations distilled from the data. Students will become familiar with exploratory and explanatory data visualization techniques for presentation and storytelling. In addition, students will work together on group projects to develop data visualization skills from a business project or technology creation, thereby perfecting competencies; visual thinking, data analysis, choice of visualization technology, reader-oriented design, and data normalization/ethicalization. |
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41. Web Design and Development |
3 |
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The module provides basic technical knowledge to help learners design and develop web applications in economics/business. Learners are introduced from the general knowledge of the Web and Internet environment, the client-server architecture model of web applications, to the specific steps to set up a website, the website programming language. from basic to advanced. In addition, website exploitation and optimization services in the digital era are also introduced for students to grasp and apply in practice (web 1.0, 2.0, 3.0; social media...). This course is in the form of a project, students will follow a website design project at the beginning of the course to understand the technology of building web applications, website optimization, web application security measures and updating trends. Website development on multimedia interface platforms. |
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42. Business Intelligence |
3 |
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This course equips students with the knowledge and skills needed to be able to design an IT solution to support business decision making (Business Intelligence - BI): understand the standards. Modern reports, mastering design methodology and effective design reports that support business decision-making, including Dashboards and Scorecards, that meet strategic goals; have a thorough understanding of OLAP and key data mining techniques; know how to use an existing BI software, and use a software tool proficiently to convert data into information, making reports to support business decisions. |
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43. Advanced Data Science |
3 |
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This module gives students hands-on data analysis towards solving real-world problems through data collection, management, and analysis skills using Python and other programming languages. Module content includes an introduction to data structures, exploratory data analysis, statistical inference and modeling, machine learning, and multidimensional data analysis. Students are trained in the necessary skills to develop data products including; Reproducible reports can be used to effectively communicate the results from data analysis. The module includes a data science project that will be done in a small group for a real client from the enterprise. This includes project management, requirements specification, design, coding, data collection and management, testing, documentation, and presentation. |
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- Elective: Select 1 out of 4 |
3 |
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44. International Business |
3 |
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The course introduces the international business environment and basic issues in the management of international business activities of enterprises. The contents of the course include: a general introduction to globalization; learn about the international business environment and what makes countries different; theories and policies of international trade and investment, introduces basic international business strategies, international business entry methods, and functional strategies in international business administration. |
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45. Marketing Innovation |
3 |
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Marketing Innovation is a design course aimed at successfully bringing products and services to market in conditions of continuous innovation. Marketing execution environment always has challenges from competition and changes of customers/consumers, so applying innovation must aim to solve competitive problems in marketing from identifying market opportunities. marketing, product/service design, effective marketing channels or service solutions as well as branding. The course is designed in 3 parts; The first part introduces the creative nature of marketing, innovation strategy, and innovative applications in customer experience, product, distribution/sales, and branding. Part two guides the case study of marketing and must apply innovation to help increase the ability to identify and solve problems. Finally, practice the skill of applying knowledge by a project to a specific product/brand. |
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46. Leadership in the Digital Era |
3 |
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Today's leaders consider digital transformation in the organization as a desire/desire and urgent. Thus, shared leadership principles are becoming dominant in digital terms, although the common leadership principles are still valid. This module addresses new issues from digital in leadership such as: digital/digital transformation from a strategic point of view, competitive/adaptive organizational leadership, new leadership methods/ in digital, innovation and technology application. Students after learning the concept of digital leadership, sustainable leadership and adapting to the culture of innovation and competition in the 4.0 era. |
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47. Innovation Culture |
3 |
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This module helps students understand the importance of innovation culture in the innovation process at enterprises. Students are provided with knowledge to locate the innovation culture at the enterprise, the barriers that enterprises have to face in the process of forming an innovation culture. By assessing the current state of innovation culture at a particular enterprise, students can apply their knowledge to understand what businesses need to do to build and develop an innovation culture. |
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- Elective: Select 1 out of 4 |
3 |
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48. Portfolio Management |
3 |
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This course covers the basics of portfolio management. Students are intensively equipped with fundamental knowledge including: (i) concepts of portfolio risk and return; (ii) investment process including capital allocation and optimal risky asset allocation; (iii) index models, capital asset pricing models and arbitrage theory; (iv) evaluate portfolio performance. The rest focuses on portfolio management practices. Learners can apply their understanding to analyze and practice capital allocation and portfolio management including equity and fixed-income securities. In particular, learners will grasp the dynamic portfolio management strategies as well as the investment policy and framework of the CFA. |
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49. Entrepreneurial Finance |
3 |
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The module begins with providing the basics of the startup environment such as business idea development and startup funding. Part two will provide knowledge about organizing and operating a business project: organizing and financing a new business venture, preparing financial statements and using financial information to decision making, and the evaluation of financial and operating results. Part three addresses issues related to future planning activities such as cash flow management, types of capital and financing costs, and examines the legal aspects of securitization. The fourth part provides the facts and tools in estimating the value of a business project: planning the financial statements of the project, evaluating the business project in the early stages, and methods. method of assessing the capitalization of a business project. The fifth part will introduce the financial structure for a growth business project, this part will deal with issues such as raising capital from investment funds or finding other sources of funding, capital mobilization from securities and business valuation. Finally we'll go into the introduction of the business venture and exit strategy. |
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50. Financial Risk Management |
3 |
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This course is designed to apply theories and methods to financial risk management needs. With the development of financial markets and many global financial crises in recent years, financial risk management plays an increasingly important role today to help financial managers understand types of financial risks and how to deal with them. This course will introduce several financial risk management strategies through the use of derivative products including forwards, futures, options, and swaps to hedge and manage all kinds of risks due to fluctuations in commodity prices, exchange rates, securities prices, interest rates, etc., which have adverse effects on businesses and financial institutions. In addition to the goal of hedging, trading strategies based on the above derivative products are also covered in this course. In addition, the course will present some of the basics of financial risk management techniques and related applications. |
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51. Derivatives |
3 |
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The course provides modern knowledge about derivative products that are popular in both international and Vietnamese markets. This course equips learners with the foundation for building financial risk management and hedging strategies for both investors and economic institutions. Financial derivatives such as forwards, futures, swaps, and options allow risk managers to reduce or even eliminate unwanted risks that the company is exposed to. face to face. These tools therefore allow the company to focus on its comparative advantage. This course covers the following topics: the basic concepts of derivatives products, the structure and operation of the derivatives market, the principles and methods of valuing modern derivatives. on the stock, foreign exchange, money and commodity markets such as options, forwards, futures and swaps. |
