MA - Economics Statistics (Applied)

General knowledge: 11 CREDITS

Course	Credits
1. Philosophy	4
The Philosophy module has 8 chapters: The introduction chapter introduces an overview of the philosophy and the history of philosophy. The next three chapters cover the basic contents of ontology, dialectics, and epistemology in the history of philosophy, thereby reinforcing the worldview of dialectical materialism and materialistic dialectic methodology, and also building a dialectical thinking style for learners. In the following four chapters, the module will analyze the philosophical content of society (including the economic, political, spiritual life) and people, in order to reinforce the dialectical materialistic conception of history and human life, also helping learners to correctly recognize and evaluate the achievements and difficulties of the Vietnamese revolution, especially during the Renovation period (Vietnamese: "Đổi mới"), and apply philosophical contents to professional activities and daily life. Due to equipping students with general theoretical knowledge, the fundamental principles directing cognitive and practical activities, the Philosophy module should be arranged before the specialized modules in the research program.
2. Foreign Language	4
The subject aims to develop knowledge and skills in English language that can help learners interact well in the English academic environment, especially, help them enhance their study as regards the level of exposure to reading English reference materials related to their fields of specialization. The subject include 12 topics of economics, business. and international trade. Each lesson consists of 02 main parts: Part 1 contains in-depth readings to explain the basics of economics and business. This section provides students with specialized terminology on a study program and helps students develop reading comprehension techniques. Following the readings are questions that test comprehension, vocabulary exercises or discussion activities to be studied. Part 2 is a reading passage from books, magazines, or a listening lesson for interviews with business people or economists. There are also listening comprehension exercises and speaking activities that include discussion, role-play or a short essay related to the topic being studied.
3. Research Methods	3
The Scientific Research Methods course helps graduate students identify business academic and practical problems. From there, propose research/studies to solve the problems. To do this, the course will equip students with basic knowledge about research types, research designs, research methods, methods of data collection, data analysis and reseach result. This course provides important background knowledge and skills for students to understand the process of independently conducting an academic or applied research project in the business field. This subject is related to previous subjects such as applied statistics in business and management, as well as parallel or successor subjects such as Marketing Management, Organizational Behavior, Human Resource Management...

Subjects of Major: 16 CREDITS

Course	Credits
4. Macroeconomics	2
Macroeconomics studies the economy in the manner of overall. Thus, the aggregated variables and average index play an important role in the analyses. This course clarifies the influencing factors and the relationship between aggregated variables and average index such as output, price index, unemployment rate, exchange rate, interest rate through indicators in the macroeconomic model. Moreover, this course emphasizes the role of financial markets including aspects of asset prices, securitization, financial leverage, causes and effects of financial crises through theoretical models. This helps learners better understand the economic situation and be able to analyze macroeconomic policy.
5. Development Economics	2
Development Economics focuses on studying topics related to the economy - society - environment - education - health - administration - institutions. These topics will be approached from a development perspective with the aim of helping learners find relevant policy analysis frameworks. This lays the groundwork for the analysis to find out development policy implications for developing countries such as Vietnam that face diverse challenges in the process of industrialization. The course exposes learners to the main themes of development economics by exploring the policy implications of development theory from empirical research in developing countries in the globalization context.
6. Statistics for machine learning	3
The module aims to introduce students to modern theories, models, and methods for applying statistics to the field of machine learning. Upon completion of the module, students have the knowledge and skills to build statistically-based machine learning models, using appropriate software packages to run and present results effectively.
7. Advanced Data Mining	3
This module aims to equip students with knowledge and skills to apply advanced methods of Data Mining in economic data analysis, the ability to participate in data mining projects for research and management in the fields of: marketing, logistics, supply chain, finance, banking.
8. Big data and applications	3
This module equips students with knowledge and skills to apply technology methods (ICT) in applying big data in business areas such as product design, marketing, and supply chain management, finance - banking and decision making.
9. Social Network Data Analytics	3
This module equips students with knowledge and skills to apply technology methods (ICT) in collecting and analyzing social network data, and applying them to big data mining projects for research and management in the fields of: marketing, logistics, supply chain, finance, banking.

Subject of Minor: 20 CREDITS

Course	Credits
10. Advanced Econometrics I	3
The course equips students with basic and advanced knowledge in theory as well as practice in econometrics. In addition, the course provides econometric knowledge and skills on data processing, solving the phenomenon of heteroscedasticity, and determining the wrong form of the function. Econometric theory helps students to master the methods combined with practice on Eviews/Stata/R software so that students can apply the econometric models being learnt to deal with quantitative models in economics and finance.
11. Multivariate Data Analysis	3
The Multivariate Data Analysis course provides a systematic approach to multivariate analysis of primary data that is commonly used in business analysis as well as academic research. This course equips learners the way to build & test contruct scales used in research and applications. Techniques for testing the effects of moderator and mediate variables in research models. In addition, learners also know how to use cluster analysis to group objects, and discriminant analysis to find features to help distinguish objects, or multidimentional scaling to draw the perceptual mapping of mind people about interested objects.
12. Sampling Methods	2
The Sampling Methods module systematically provides knowledge of research sampling methods including non-random and random sampling methods. The main content of the module focuses on random sampling methods such as simple random sampling, system sampling, stratified sampling, cluster sampling, mixed sampling, and estimation methods such as proportion estimation, regression estimation and estimation of differences. The course also provides ways of determining the sample size in an investigation to ensure the representativeness of the sample. Introduce to students the supporting software for random sampling and survey results processing skills.
- Elective: Select 6 out of 9	12

13. Advanced Econometrics II	2
The course equips students with advanced knowledge of econometrics in theory as well as practice. In addition, the course provides advanced econometric knowledge on panel data, time series data, solving endogenous phenomena, and techniques for estimating a system of simultaneous equations. Econometric theory helps students to master the methods combined with practice on R software so that students can apply the econometric models being learnt to deal with quantitative models in economics and finance.
14. National Accounts	2
This course (The System of National Accounts) provides basic theory and methods for determining and analyzing the system of general economic and statistical indicators in general, and the system of national accounts (SNA) in particular. From a macro perspective, this module provides a system of statistical indicators reflecting the economic cycle, the interaction between factors in the production of products (materials and services), the results of production and business activities of the entire national as well as each economic sector, the economic growth rate and that structural change over the years, the main proportional relationships of the economy, social production efficiency, etc. Module knowledge is one of the effective tools for studying economic phenomena and processes taking place in the entire national economy, providing the basis for building macroeconomic models.
15. Population statistics	2
The module provides learners with the knowledge and skills that are indispensable in the learning outcome of students in Socio-Economic Statistics at any university or college. This module provides knowledge as well as methods for collecting population and labor information; describe and analyze the population size and structure according to statistical methods; Statistical research methods on birth, death, and migration processes - the factors that create fluctuations in population size and structure. Developmental population studies, population forecast as the basis for socio-economic forecast. Basic statistical methods study the process of formation, distribution and use of human resources. Provides basic methods of Labor and Employment Statistics and statistical indicators. Skills in using software in data processing (Excel, SPSS), reading results tables from the software provided.
16. Quantitative analysis in economics and business	2
Quantitative Analysis in Business course provides students with knowledge of decision-making processes and quantitative analysis methods in business. These tools can assist executives and managers of enterprises to make sound and rational decisions based on decision analysis techniques, marginal analysis, and linear planning or AHP. The course also includes tools that assists administrators in planning, monitoring and controlling large and complex projects by means of PERT network or Monter Carlor simulation. This module introduces packages as a supporting tool for the analysis to save time, effort, and for presentation with appropriate professional charts; helping students familiar with softwares for quantitative analysis.
17. Social Statistics	2
The content of the module Social statistics includes statistics on social phenomena to identify the level of development of society. The substantive aspects of social statistics include life expectancy, population living standards, culture, education, health protection, marriage and family, law and law enforcement. Through the identification of indicators to measure each aspect, data will be collected and analyzed. The results help to suggest recommendations for policy makers to have appropriate social management measures.
18. Forecasting in economics and business	2
This course (Business Forecasting) equips students with the knowledge and skills of forecasting in business and economics with a variety of approaches, both objective and subjective. Forecast quality depends on careful consideration of forecasted environmental factors, preparation of secondary data as well as research design to collect primary data to provide input information. input for the prediction model. Calculation for forecasting results does not make sense, but the application of the forecast results for further calculations and analysis in making new decisions shows the meaning and importance of forecasting in business and economic.
19. Nonparametric statistics	2
The Nonparametric Statistics course deals with data analysis using a non-parametric approach. Topics covered in the module include analyzing categorical data using the Chi-square test; and non-parametric methods for one or two groups.
20. Bayesian Statistics	2
The course introduces Bayesian statistical method to use a prior information in data processing to make statistical inferences. It covers important concepts in Bayesian probability modeling as well as estimation using both optimization and simulation-based strategies, using prior information to study random variables, estimate proportions, estimate mean, find linear regression lines. Furthermore, this course compare between Bayesian statistics and traditional statistical methods to help students identify their advantages and disadvantages.
21. Applied Numerical Analysis in Economics	2
This course provides basic tools of numerical analysis that can be used to address analytically problems economics. The generality with which the techniques will be presented in this course will make them applicable to a wide range of fields, including macroeconomics, finance, econometrics, game theory, public finance, contract theory and others. Matlab software is used for computation.

Graduation Internship: 13 CREDITS

Course	Credits
23. Extra-Curriculum Report	3
The Extra - Curriculum Report is a module that connects many of the knowledge and skills provided in previous modules in the student's learning process by attending specific topics to analyze and support information in solving a specific problem in economic statistics.
24. Assignment	3
The Assignment is a module that connects all the knowledge and skills provided in the previous modules in the student's learning process to practice research and statistical analysis that provide information to support students in solving a particular problem in business and economics.
25. Project	7
Master Project is a module that connects all the knowledge and skills provided in previous modules. It helps students practice research and statistical analysis to have information which serves as a basis of solving a particular problem in economics, business and management.

UEH Master

General knowledge: 11 CREDITS

Subjects of Major: 16 CREDITS

Subject of Minor: 20 CREDITS

Graduation Internship: 13 CREDITS

Total credits: 60 CREDITS