The major of data science and big data technology has bright employment prospects and excellent salary. In big cities such as Beijing, Shanghai, Guangzhou and Shenzhen, the salary level is as high as 200,000 yuan per year. However, there is a lack of professionals, and the entry threshold is slightly higher, which requires 5 to 6 months of training. There are many employment opportunities in data science and big data technology. As long as you learn well, it is not difficult to find a job.
Graduates can engage in big data management, research and application development in government agencies, enterprises and companies. The employment prospects of data science and big data technology majors are not bad, and the salary of data science and big data technology majors is also very rich.
Data science and big data technology majors can be analytical engineers. Using statistical model, data mining, machine learning and other methods, data cleaning, data analysis, and building an industry data analysis model can provide valuable information to customers and meet their needs.
Students majoring in data science and big data technology can also consider algorithm engineer. In the direction of big data, together with professional engineers, from the perspective of system application, we use the theories and methods of data mining and statistical learning to solve practical problems: in the direction of artificial intelligence, according to the needs of artificial intelligence products, we complete technical scheme design, algorithm design and core module development, and organize to solve major technical problems in the project development process.
Introduction to data science and big data analysis;
The major of data science and big data technology is an undergraduate major in colleges and universities, which belongs to computer major. The basic study period is four years, and the bachelor degree in science or engineering is awarded.
This major cultivates the all-round development of morality, intelligence, physique, aesthetics and labor, and grasps the basic knowledge, theories and technologies of data science, including the basic knowledge of mathematics, statistics and computers in the application of big data, and the basic theories, methods and skills of data modeling, efficient analysis and processing and statistical inference.