Data Computing and Applications Job Outlook

Data Computing and Applications job prospects are good.

1, the reason why the outlook is good:

Data Computing and Application is an emerging major under the current development of new technologies such as big data, artificial intelligence, etc. The curriculum mainly involves courses in mathematics, statistics, big data, computers, economics and other courses. Many schools only gained the construction capacity and degree granting authority of the relevant majors in 2019, so it is more popular.

2, training objectives:

Different from the traditional basic science majors in academic personnel training, data computing and application majors train students with the theoretical foundation of modern mathematics and statistics, systematic mastery of scientific computing and data processing techniques and methods, able to apply all kinds of data problems in the establishment of mathematical models, and skillful use of scientific computing and data processing techniques to solve The students are able to establish mathematical models for various data problems in applications and skillfully use scientific computing and data processing techniques to solve these practical problems.

Professional profile and professional characteristics:

1, professional profile:

Data computing and application of undergraduate majors is in the IT era towards the trend of the DT era and the emergence of Internet finance in the context of the multidisciplinary cross-fertilization of mathematics, statistics and information science generated by the application of scientific disciplines, is committed to the cultivation of moral, intellectual, physical and psychological development, with a good foundation in mathematics. It is committed to cultivating the all-round development of morality, intelligence and physical fitness, and has a good foundation in mathematics and mathematical thinking ability.

Master the basic theories, methods and skills of information science and statistics, receive preliminary training in scientific research, have certain data modeling, high-performance computing, big data processing and programming capabilities, and be able to use the knowledge and skills to solve data analysis, a typical cross-disciplinary majors.

2. Features:

Relying on the two basic disciplines of mathematics and physics in the School of Mathematics and Statistics, the program focuses on cultivating a solid foundation in science and systematically teaches the basic theories of mathematics, statistics, and computer science, so as to enhance the students' theoretical foundation.

Focusing on the generation model, generation mechanism, topology and function structure of big data in finance, drug screening, intelligent transportation, social network and other fields, we provide targeted training for students on data inverse optimization problems. Carry out international cooperation training to expand students' horizons.