Professional Profiles

Economic Statistics major is an important construction major in the "Financial and Economic Management Discipline Professional Group" of Guangdong Baiyun University. It is a basic major supporting first-level discipline economics and a characteristic undergraduate major of the School of Applied Economics. This major focuses on training economic statistics talents who master modern statistical analysis methods and attach equal importance to quantitative and qualitative analysis. After ten years of development, it has formed obvious advantages and characteristics in the aspects of teaching staff, professional development, discipline construction, teaching and research, personnel training and teaching reform. Based on the talent training goal of "thick foundation, wide caliber, strong ability and high quality", with the background of "Internet + economy" and the application of big data, and relying on the advantages of economics, finance and other disciplines accumulated by the School of Applied Economics in running the school, this major aims to cultivate applied talents with solid foundation, broad knowledge, strong ability and high quality, who have the spirit of innovation and strong practical ability. This major mainly studies and researches the principles of statistical analysis and the application of statistical analysis techniques in the field of national economy. Through theoretical study and professional practice, students can develop good literacy in statistics, mathematics and economics, master the commonly used methods of data statistics and analysis and the skills of using related software and have the ability to engage in  statistical investigation, statistical information processing, management and consultation, economic analysis and prediction in government departments, economic management departments, enterprises and institutions.

Training objectives

Aiming at the Greater Bay Area of Guangdong, Hong Kong and Macao and radiating South China, this major aims to cultivate composite applied talents who are all-round developed in such areas of morality, intelligence, physique, beauty and labor, have national feeling, healthy personality, international vision, craftsmanship spirit and innovation ability, master the theoretical system of interdisciplinary knowledge such as economics, statistics, computer science and technology, and have certain economic  thinking. The students can be proficient in mathematical statistics software, data  collection and pre-processing, deep learning and other mathematical analysis tools, the ability to find problems, independently think and analyze, and solve practical problems in the field of data investigation and data analysis by relying on data science tools and good comprehensive quality, with strong abilities in statistical investigation, data analysis, big data collection and cleaning. Through the education in this programme, they can work in positions of statistical investigation, statistical information management and quantitative analysis in enterprises and institutions and economic management departments, as well as positions of risk analysis and scientific decision-making in insurance, finance, investment, social security and other fields.

Knowledge and ability

1. Professional quality ability: have a firm  and correct political direction, good ideological character and sound personality, love the motherland, love the people, support the leadership of the Communist Party of China; have the scientific spirit, cultural accomplishment, cultural taste, professional quality and enterprising spirit, and can spread the fine Chinese culture; understand China's national conditions, people's social conditions, and practice core socialist values; be concerned about social problems and national development, have a sense of social responsibility, and take the initiative to participate in social practice; Have good professional ethics and professional quality, adhere to the economic statistics industry norms and social responsibility requirements.

2. Subject knowledge ability: have interdisciplinary knowledge system, tool knowledge, basic knowledge, interdisciplinary knowledge, professional knowledge  and professional skills; understand the history, current situation and frontier trends of the major of economic statistics and related disciplines, understand the relevant policies, regulations and practices at home and abroad, and master the research ideas and research methods of the major.

3. Application ability: design data collection scheme according to specific problems and research objectives; select and apply statistical methods and models for data analysis and model construction; use statistical software and programming languages, such as R, Python, SPSS, etc., for data processing, analysis and model construction, so as to solve practical statistical problems; be able to apply statistical theories and methods to practical problems, and be able to analyze and solve practical statistical problems, such as market research, risk assessment, quality control, etc.

4. Innovation ability: have logical thinking ability, critical spirit and reflective consciousness, be able to use statistical knowledge and skills to think independently and propose innovative solutions; accurately understand practical problems and transform them  into  quantifiable statistical problems; have away of thinking and be able to think about problems from different angles and come up with new perspectives and solutions; use various statistical methods and tools to analyze and interpret data; take the initiative to participate in actual statistical projects or research, and apply innovative thinking and methods to solve problems in practice.

5. Information ability: be able to obtain various information resources to meet the needs of learning and research; evaluate the reliability, accuracy and applicability of information, and judge whether it meets the purpose and needs of research; use computers and related tools to sort, classify, analyze and synthesize the obtained information in order to produce results and conclusions; apply the learned knowledge and information to solve practical problems, and be able to design and implement corresponding computer programs or systems; express your own opinions and ideas, and be able to use technical tools for information presentation and exchange.

6. Communication and expression skills: be able to express statistical concepts, methods and results, communicate and cooperate with others; use oral language to convey the concepts, theories, analysis methods and other complex content in the field of statistics to non-professionals in a concise and easy to understand way; express the content, purpose, methods and conclusions of statistical research by writing reports, research papers, scientific and technical articles, etc.; choose graphical formats to present statistical data, analysis results, and trends in an intuitive way that  makes the  information  easy to  understand and  interpret;  communicate across disciplines with professionals in other subject areas to combine knowledge of statistics with problems in other subject areas to provide integrated perspectives and suggestions for solving practical problems.

7. Ability to work in a team: communicate with team members, express your own opinions and opinions, and be able to listen to others' opinions and suggestions. Coordinate and integrate different viewpoints of team members to form consensus; define the division of labor and responsibilities according to the needs of the project, and cooperate with team members to complete their respective tasks; demonstrate an attitude of taking initiative and actively participating in team work; make the most of your professional knowledge and skills to contribute to the goals and tasks of the team; accept and respect the contributions of team members to form a good atmosphere of cooperation; deal with conflicts within the team and be able to look for ways and strategies to solve problems; manage time and resources properly in team work, ensure that tasks are completed on time, and be able to control and evaluate the quality of work.

8. International vision: have a global vision and cross-cultural communication ability, understand the development trends and cutting-edge research in the field of international statistics, pay attention  to  the  development  of  international  statistical  organizations  and  international standards, communicate and cooperate with people from different cultural backgrounds and countries,  respect  and  understand  the  differences  between  different  cultures,  and  have cross-cultural communication ability; master one or more foreign languages, be able to read, understand and write relevant international academic literature, and effectively communicate and exchange with international counterparts.

9.  Learning  and  development  ability:  have  the  ability  of  continuous   learning  and self-development, and constantly improve professional knowledge and skills; organize, manage and apply learning resources, master learning methods and skills, and quickly acquire  new knowledge and skills; analyze and evaluate academic literature and research results, think independently, and form original opinions and opinions; cross disciplinary boundaries and dabble in knowledge of other relevant disciplines to broaden professional horizons. Recognize your own interests, strengths and career goals, develop a career development plan, and constantly pursue personal and professional growth; have a positive attitude towards lifelong learning and be able to constantly update your knowledge and skills to adapt to changes in subject development.

Major features of economic statistics

This major connects with the industries of the Greater Bay Area, follows the OBE concept of "student-centered, output-oriented and continuous improvement", and closely follows the needs of the industry to build talent training programs and curriculum systems, and cooperate with the government, schools and enterprises in training.

The program implements a talent cultivation system based on classroom teaching, supplemented by extracurricular teaching and off-campus practice;

Encourage and guide students to take the certificate examination as needed to enhance their competitiveness in employment;

To promote learning through  competition, encourage and guide  students to  participate in discipline and professional competitions, entrepreneurial project application, etc., to cultivate students' entrepreneurial awareness and ability.

Core Courses for Majors

Microeconomics, Macroeconomics, Statistics, National Economic Statistics, Digital Economics, Market  Research  and  Forecasting,  Sampling  techniques,  Econometrics  I,  Econometrics  II, Economic Data Mining, Business Intelligence (BI) analysis

Practical teaching session

Campus concentrated practice teaching links: statistical questionnaire design and investigation, national economic statistics practice, statistical data analysis, statistical comprehensive practical training, campus simulation comprehensive practice, enterprise practice teaching course design

Enterprise practice teaching project: According to the actual needs of students to participate in the actual business in the field of data consultation and data analysis and expand professional frontier knowledge, there are six enterprise  practice teaching projects: online self-learning expansion module course, professional  morality  education, field  research,  production (professional) practice, graduation practice and graduation thesis. In the process of enterprise practice teaching, we give full play to the synergistic effect of professional tutors, thesis tutors, enterprise tutors, career tutors and ideological and political tutors to jointly help students expand their professional abilities and improve their professional qualities.

Teaching conditions

1. Teaching equipment

Relying on the overall design plan of Guangdong Baiyun University to build a "digital" and "intelligent" campus, the major has fully functional teaching facilities and equipment, including statistics laboratory, to ensure students' classroom learning and after-school practice.

2. Laboratory

The Statistics Laboratory is one of the four laboratories of "Economic and  Management Experiment Center" of Guangdong Baiyun University. Excel, SPSS, R, Python, Stata, SAS and other experimental statistical software has been fully installed. At present, it mainly undertakes the experimental teaching tasks of 5 experimental courses, such as "Time series analysis", "Data Processing  Technology (SPSS)", "Comprehensive experiment of Statistics Specialty", "Comprehensive Practical training of Statistics", and "R Language Foundation". The proposed courses include "Python language Application", "Data visualization Analysis" and soon.

3. Practice base

The major of economic statistics attaches great importance to the construction and planning of experimental bases. At present, a total of two student practice projects have successfully settled in the innovation and entrepreneurship practice base of college students. And has established off-campus intern training bases with many well-known enterprises such as Guangzhou Tedi Intelligent Technology Co., LTD., Shenzhen Dimension Data Co., LTD., Nanhu CITS, etc., which better meet the needs of students' production practice and graduation practice during their senior year.

Employment prospects

The positions corresponding to the students in this major mainly include data analysis positions for major banks, stock exchanges and insurance companies, which are engaged in risk analysis and control, credit market analysis, market research, data support and other work; For major Internet companies, consulting companies and specialized statistical groups and data analysis units, engaged in consulting research, data collection, analysis and processing, etc., to provide detailed data for the company's decision-making. At the same time, it can also pass the civil service examination and the recruitment of public institutions to enter the Bureau of Statistics and the public institutions directly under the statistical series to carry out statistical business and statistical teaching.

Based on the Pearl River Delta, the professional talent demand gap is large, the talent is in short supply, and the employment prospects are good.

Teaching staff

There are 19 professional teachers and 10 enterprise teachers. Majors cover economics, statistics, computer science, data science, etc. Among them, there are 10 senior professional titles and 6 intermediate professional titles; There are 4 doctors and 15 masters. Introduce and cultivate high-level discipline  leaders, and employ  industry experts as corporate  practice  mentors.

Establish a linkage mechanism of teacher training combining schools, industries and enterprises, and create a unique team of "double-qualified" teachers for the training of application-oriented talents.