I. APPLICATION-ORIENTED MASTER OF ECONOMIC STATISTICS
1. Program overview
The Application-oriented Master of Economic Statistics has been offered since 2020 and is continuously updated and improved. The program equips learners with the knowledge and skills required to understand, implement, and solve applied statistical problems, as well as to analyze data for decision-making in the context of rapid data growth.
The program follows a credit-based structure with 60 credits, covering general knowledge, fundamental knowledge, specialized knowledge and major knowledge. The curriculum is designed flexibly, enabling learners to plan their own study progress and complete the program in 1.5 to 2 years.
2. Program objective
The Application-oriented Master of Economic Statistics ensures that graduates become professionals or specialists capable of designing and implementing data collection, storage, and analysis solutions, as well as interpreting analytical results to support decision-making. Graduates will be able to work independently and creatively, coordinate and collaborate effectively in teams, and maintain lifelong learning capabilities within governmental statistical agencies, departments, social organizations, and enterprises.
The program systematically equips learners with foundational and advanced knowledge in economics and management, together with expertise in organizing data collection and data management, particularly statistical methods for data analysis. In addition, the program develops professional skills, attitudes, and ethical standards to enable learners to address practical problems effectively.
3. Program structure
|
No.
|
Block
|
Credit
|
|
Total
|
In which
|
|
Compulsory
|
Elective
|
|
1
|
General knowledge
|
3
|
3
|
-
|
|
2
|
Fundamental knowledge
|
15
|
15
|
-
|
|
3
|
Specialized and major knowledge
|
27
|
12
|
15
|
|
4
|
Internship
|
6
|
6
|
-
|
|
5
|
Graduation project
|
9
|
9
|
-
|
|
Total
|
60
|
45
|
15
|
4. Program learning outcomes (PLOs)
|
Block
|
PLO code
|
Details
|
|
Knowledge
|
PLO1
|
Apply economic and management knowledge as a foundation to collect, analyze, and interpret data for decision-making.
|
|
PLO2
|
Evaluate information-technology solutions for data collection, organization, and management to ensure safety and security.
|
|
PLO3
|
Implement data-collection and data-management strategies to support practical decision-making.
|
|
PLO4
|
Execute data-analysis procedures and interpret analytical results to inform managerial decisions.
|
|
Skill
|
PLO5
|
Coordinate, assign, evaluate, and maintain professional relationships with colleagues and partners.
|
|
PLO6
|
Utilize proficiently statistical software and data-analysis tools to collect, organize, manage, and analyze data and report results for decision-making.
|
|
Attitude
|
PLO7
|
Demonstrate compliance with legal regulations, professional ethics, and social responsibility.
|
5. Career opportunities
Graduates of the Application-oriented Master of Economic Statistics can work as:
- Data specialists or analysts responsible for designing and implementing data collection, storage, and analytical solutions.
- Consultants in statistical analysis and data-driven decision-making.
- Professionals capable of independent work, teamwork, and lifelong learning in government statistical systems, departments, organizations, and enterprises.
6. Program’s highlights
· The curriculum is benchmarked against advanced domestic and international programs.
· Provides advanced, practical, and applied knowledge in economics, management, statistics, data analytics, and IT for facilitating decision-making.
· Flexible delivery (30% online + weekend in-class sessions) suitable for various groups of learners.
· Highly qualified and dedicated teaching staff.
· Competitive tuition fees, with special tuition incentives.
II. RESEARCH-ORIENTED MASTER OF ECONOMIC STATISTICS
1. Program overview
Building on the success of the Application-oriented program launched in 2020, the Research-oriented Master’s Program in Economic Statistics is designed to equip learners with both theoretical and practical statistical and data-analytic knowledge, especially for big data analytics in research and policy contexts.
The program follows a credit-based structure with 60 credits, covering general knowledge, fundamental knowledge, specialized knowledge and major knowledge. The curriculum is designed flexibly, enabling learners to plan their own study progress and complete the program in 1.5 to 2 years.
2. Program objective
The Research-Oriented Master’s Program in Economic Statistics ensures that graduates become professionals or specialists capable of designing and implementing data collection, storage, and analytical frameworks, as well as interpreting analytical results to support decision-making. Graduates are equipped to work independently and creatively, coordinate and collaborate effectively in teams, and maintain lifelong learning capabilities within governmental statistical systems, departments, social organizations, enterprises, research institutes, and higher-education institutions.
The program provides learners with systematic knowledge in economics and management, advanced competencies in organizing data collection and data management, and especially in-depth statistical methodologies for data analysis. In addition, the program develops professional skills, attitudes, and ethical standards necessary for learners to address both theoretical and practical problems effectively.
3. Program structure
|
No.
|
Block
|
Credit
|
|
Total
|
In which
|
|
Compulsory
|
Elective
|
|
1
|
General knowledge
|
3
|
3
|
-
|
|
2
|
Fundamental knowledge
|
15
|
15
|
-
|
|
3
|
Specialized and major knowledge
|
27
|
12
|
15
|
|
4
|
Thesis
|
15
|
15
|
-
|
|
Total
|
60
|
45
|
15
|
4. Program learning outcomes (PLOs)
|
Block
|
PLO code
|
Details
|
|
Knowledge
|
PLO1
|
Apply economics and management knowledge to collect, explore, and interpret data for research and policy analysis.
|
|
PLO2
|
Develop IT solutions for data collection, organization, management, data mining, and business intelligence.
|
|
PLO3
|
Design data-collection and data-management plans for research and policy development.
|
|
PLO4
|
Construct data-analysis and data-mining strategies and interpret findings for research and policy-making.
|
|
Skill
|
PLO5
|
Coordinate, manage, evaluate, and strengthen relationships with colleagues and partners in research environments.
|
|
PLO6
|
Master statistical tools, programming languages, and IT solutions to collect, manage, mine, and analyze data and communicate results for research and decision-making.
|
|
Attitude
|
PLO7
|
Demonstrate legal compliance, research ethics, academic integrity, and social responsibility.
|
5. Career opportunities
Graduates may work as:
- Specialists or consultants in data collection, storage, and advanced analysis in governmental agencies, enterprises, and social organizations.
- Researchers or lecturers in institutes and higher-education institutions focusing on statistics and data analytics.
- Professionals capable of conducting theoretical and empirical research independently or as part of a team.
6. Program’s highlights
· The curriculum is benchmarked against advanced domestic and international programs.
· Provides advanced, practical, and applied knowledge in economics, management, statistics, data analytics, and IT for facilitating decision-making.
· Flexible delivery (30% online + weekend in-class sessions) suitable for various groups of learners.
· Highly qualified and dedicated teaching staff.
· Competitive tuition fees, with special tuition incentives.