What major should I choose for materialization?

What major to choose is materialized as follows:

I. Surveying and Mapping Engineering

Surveying and mapping engineering majors cultivate compound engineering and technical talents who are competent in the design, production, management and research and development of surveying and mapping projects in the fields of national basic surveying and mapping, natural resources investigation and monitoring, engineering construction, land and space planning, geographic information service, etc., and pay attention to practice with high quality.

Core courses include Introduction to Surveying and Mapping, Error Theory and Surveying Adjustment Basis, Cartographic Photogrammetry, Remote Sensing Principle and Application, Principles of Geographic Information System, Engineering Surveying, Real Estate Surveying and Management, and Surveying Scheme Design.

Second, remote sensing science and technology

Remote sensing science and technology specialty cultivates high-quality compound talents who have a solid foundation and practical skills in the field of surveying and mapping and remote sensing, and can engage in remote sensing data collection, processing and analysis, photogrammetry and remote sensing engineering project design, planning, research and management, and the development and application of new remote sensing technologies in the fields of national basic surveying and mapping, engineering survey, resource and environment investigation and management, and geographic information service.

The main professional courses include introduction to surveying and mapping, introduction to earth science, cartography, remote sensing image interpretation, GNSS principle and its application, geodesy foundation, digital image processing, digital image processing experiment, and aerospace data collection.

Third, data science and big data technology.

The major of data science and big data technology trains compound talents who master all kinds of basic theories and tools involved in the whole life cycle of data science, have the skills of big data application research and development, have the ability of in-depth data analysis and data mining algorithm design and engineering, and can be engaged in the research and development of big data systems in Internet, economy, finance, geology and other related industries.

The main professional courses include python programming, data acquisition and preprocessing, contemporary data management system, mathematical basis of data science and engineering, algorithm basis of data science and engineering, data visualization technology and so on.