DHKT

  • Bachelor of Economic Statistics - Specialising in Socio - Economic Statistics

    1. Overview of the programme

    The Bachelor's programme in Economic Statistics, specializing in Socio-Economic Statistics, was developed from the Statistics programme which started training in 1976. Since then, the programme has been frequently updated with the aim of equipping students with knowledge and skills to collect, compile, analyze, and visualize data to support decision-making in the era of big data.

    The programme is designed with a flexible curriculum that allows students to plan their own learning path and complete the programme in 3.5 to 6 years.

    2. General information of the training programme

    Training programme:

    Economic Statistics

    Code:

    7310107

    Specialising:

    Socio-Economic Statistics

    Code:

    731010701

    Training level:

    Undergraduate

    Type of degree:

    Bachelor

    Mode of training:

    Full time

    Training duration:

    4 years

    Total of credits:

    134 credits (excluding Physical Education & Military training courses)

    3. Programme Objectives

    The Bachelor's programme in Economic Statistics, specializing in Socio-Economic Statistics, provides students with a solid foundation in economics, management, and law; in-depth knowledge in data collection, management, analysis, and visualization, as well as result interpretation to support decision-making.

    Graduates of the programme are proficient in statistical tools and information technology. They can design analytical indicators, conduct data collection and management, preprocess data, perform analysis, visualize data, and interpret results. They also possess skills in teamwork, report writing, presentation, and communication of results.

    Furthermore, they exhibit professional ethics, responsibility, critical thinking, proactiveness, creativity, and the ability to collaborate effectively. They maintain good health to ensure lifelong learning capabilities.

    4. Programme Learning Outcomes

    Upon completion of the programme, students are able to (see Table 1):

    Table 1. Programme Learning Outcomes

    Code

    Programme Learning Outcomes

    PLO1

    Apply fundamental knowledge in economics, management, and law in data collection and analysis; and result interpretation to support decision-making.

    PLO2

    Apply information technology to collect, organize, store and analyze data.

    PLO3

    Design data collection and management methods.

    PLO4

    Design data analysis plans and interpret analysis results.

    PLO5

    Apply statistical methods to transform, integrate, visualize, analyze data, and interpret the results.

    PLO6

    Develop the ability to manage, assign, assess, develop, and maintain relationships with colleagues and partners.

    PLO7

    Use a foreign language to work effectively in a globalized environment.

    PLO8

    Use technological information tools, data analysis software, and statistical tools to solve problems in real-life settings.

    PLO9

    Comply with the laws, professional ethics, and social responsibilities.


    5. Job positions

    After graduation, graduates of Socio-Economic Statistics can be employed in various positions, including:

    - Specialists or experts in agencies within the national statistical system, from central to local levels.

    - Statistical specialists or data analysts in governmental agencies, projects, and non-governmental organizations.

    - Statistical specialists or data analysts in economic and social organizations.

    - Researchers in research institutes, market research centers, and consulting organizations.

    - Additionally, they can also engage in research and teaching activities in statistics and data analysis at research institutes and educational institutions.

    6. Curriculum structure

    To meet the programme learning outcomes, students of Economic Statistics, specializing in Socio-Economic Statistics, will be equipped with the following knowledge blocks (see Table 2).

    Table 2. Curriculum structure

    No

    Knowledge blocks

    Number of credits

    Total

    Including

    Compulsory

    Elective

    1

    General knowledge

    46

    46

    -

    2

    Fundamental knowledge

    30

    30

    -

    3

    Major and Specialized knowledge

    58

    44

    14

    3.1

    Major knowledge

    21

    15

    6

    3.2

    Specialized knowledge

    27

    19

    8

    3.3

    Graduation Internship

    10

    10

    -

    Total

    134

    120

    14


    7. Admission Candidates

    The admission candidates are in accordance with the university enrollment regulations of the Ministry of Education and Training and the enrollment scheme of University of Economics, The University of Danang.

    8. Extracurricular activities

    Extracurricular activities are aimed at enhancing knowledge, improving skills, and shaping students’ attitudes and behaviors with the following forms:

    - Field trips to businesses, social organizations, and the national statistical system, etc.

    - Guest speakers to report on statistical topics, career prospects, and professional development trends.

    - Community engagement experiences, etc.