Is it good to get employment in biomedical data science?

The employment prospect of biomedical data science major is good. According to relevant data, the number of graduates majoring in biomedical data science is 50-200, and the employment rate is at a medium and high level.

Biomedical data science majors focus on healthy big data, and cultivate high-level professionals with basic skills and professionalism in statistics, computer and data science, who can master key technologies such as data collection and summary, collation and optimization, mining and analysis, transformation and application, and have industry practice ability. The employment prospect of biomedical data science major is good. According to relevant data, the number of graduates majoring in biomedical data science is 50-200, and the employment rate is at a medium and high level.

Employment direction of biomedical data science;

Engaged in data mining and statistical analysis in biomedicine, medicine, health service and other industries; Engaged in information system development, training and technical support of medical information services, computer software, internet technology and other institutions; Engaged in information system management and maintenance in medical and health institutions. It is very helpful for students to obtain certificates such as "data analyst" during their school days. In addition, students can go to graduate school for further study or go abroad for further study.

Training objectives of biomedical data science;

1, the core of biomedical data science is to understand how to best analyze a large number of biomedical data to explore and discover new knowledge about the role of life systems in human health and diseases, and to explore how to use this knowledge to provide better and more affordable medical care for human beings.

2. Students majoring in biomedical data science will have a solid foundation of mathematics and physics, big data technology, interdisciplinary foundation of data science and biomedicine, and compound medical talents with the ability to engage in big data analysis and solve practical problems in biomedicine and medical and health fields.