Guiding Cultivation Plan for the Big Data Management and Application Major 2023

Major Code: 120108T
Drafted by: Yu Dongdong         Reviewed by: Yu Dongdong, Zheng Dangjun

I. Cultivation Objectives

The Big Data Management and Application major, orientates towards of serving the local economy and industry development, and focuses on the development orientation of building a high-level applied university of science and technology with distinctive characteristics, aim to cultivate the students who have the all-round development of moral, intellectual, physical, aesthetic and labor, with cross-border thinking and international vision, innovation and entrepreneurship awareness and ability, familiar with various big data management work in the field of e-commerce, and good at using business data for quantitative analysis and intelligent decision-making. Graduates will engage in business analysis, information management and intelligent decision-making in the data analysis and management decision-making departments of industrial and commercial enterprises, financial institutions, scientific research institutes, government agencies and other enterprises and institutions.

Objectives to be achieved by students five years after graduation

Objective 1: To have good political quality, moral cultivation and social responsibility awareness. Love the motherland, support the leadership of the Communist Party of China, consciously practice the core values of socialism, develop a profound cultural heritage, keen ethical awareness, rigorous scientific attitude, sound legal concept, good professional ethics and a strong sense of social responsibility, physical and mental health.

Objective 2: To master the basic theories, methods, and skills of the big data management and application major, able to comprehensively apply professional knowledge of mathematics, natural sciences, economic management, and big data-related knowledge and technologies to solve practical problems in data collection, data analysis and mining, data governance, and data security in the field of economic management.

Objective 3: To demonstrate good expression, communication, coordination, and organizational management abilities, able to participate in and manage project teams with teamwork spirit and cross- border thinking in a multidisciplinary and multicultural environment.

Objective 4: To possess certain creative, innovative, and entrepreneurial abilities, actively adapt to a rapidly changing socio-economic environment, develop critical and innovative logical thinking, comprehensively analyze and appropriately evaluate problems encountered in the field of big data management and application, and able to predict industry trends based on data, identify market opportunities, and convert innovative ideas into actual projects.

Objective 5: To have international vision and lifelong learning abilities, familiar with domestic and foreign policies related to big data technology, understand big data industry technology innovation and business model innovation, able to learn independently and continuously according to the needs of industry and social development, and pursue sustainable development of their own career.

II. Academic Requirements for Program Completion

(1) Program duration

Flexible academic period, generally 4 years, with a flexible range of no less than 3 years and no more than 7 years. Students who fail to graduate within the maximum allowed study duration will be considered as having completed their studies without obtaining a degree.

(2) Graduation Credit Requirements

Students are required to complete the required credits of compulsory courses, elective courses, and all practical teaching links, pass the examinations, and obtain a total of 160 credits to be allowed to graduate.

III. Course Structure and Credit Distribution

IV. Course Setting Table

Course Setting Table (1)

Note: In addition to the courses listed in the above table, the courses of the general education platform also include other related courses required by different majors. According to the talents training objectives and graduation requirements of each major, the corresponding course categories, credits, study terms and assessment methods are flexibly selected.

Course Setting Table (2)

Course Setting Table (3)

Note: If the course is MOOC, online, online and offline mixed, science and practice integrated, innovation integration, school-enterprise cooperation course, need to indicate in the remarks field.

Course Setting Table (4)

Course Setting Table (5)