What courses are there for big data majors?
The major of data science and big data technology is to master the basic knowledge of science, statistics, computer and other disciplines through the research of basic knowledge, theory and technology, and master the basic theories, methods and skills of data modeling, efficient analysis and processing, and statistical inference. Have good foreign language ability, and cultivate technical and compound talents with all-round development in morality, intelligence, physique, beauty and labor.
The main courses of data science and big data technology include mathematical analysis, advanced algebra, introduction to general physical mathematics and information science, data structure, introduction to data science, introduction to programming, programming practice, discrete mathematics, probability statistics, algorithm analysis and design, data computing intelligence, introduction to database system, computer system foundation, parallel architecture and programming, unstructured big data analysis, and the characteristics of some universities will be different.
common sense
Common sense includes humanities and social sciences, mathematics and natural sciences. The knowledge of humanities and social sciences includes basic contents such as economy, environment, law and ethics. Mathematics and natural science knowledge include advanced engineering mathematics, probability theory and mathematical statistics, discrete structure, mechanics, electromagnetism, optics and modern physics.
Basic knowledge of discipline
As professional basic knowledge, subject basic knowledge can solve practical problems by cultivating students' professional basic abilities such as computational thinking, program design and implementation, algorithm analysis and design, and system ability. It is suggested that the teaching content should cover the core contents of the following knowledge fields: program design, data structure, computer operating system, computer network and information management, including core concepts, basic principles and related basic technologies and methods, so that students can understand the history and present situation of subject development.
professional knowledge
The course must cover the core content of the corresponding knowledge field, cultivate students' ability to apply what they have learned to complex systems, and be able to design, implement, deploy, operate or maintain systems based on computing principles. Mathematical analysis, advanced algebra, introduction to general physical mathematics and information science, introduction to data structure, introduction to data science, introduction to programming and programming practice. Compulsory courses: discrete mathematics, probability statistics, algorithm analysis and design, data computing intelligence, introduction to database system, computer system foundation, parallel architecture and programming, unstructured big data analysis.
What is the employment prospect of big data?
The employment prospects of the big data industry are very good. After learning big data, there are many jobs to do, such as R&D engineers, product managers, human resources, marketing, data analysis and so on. These are the positions that many Internet companies need, and there is a great demand for R&D engineers, and there is little data analysis.
The employment prospects of big data talents are also reflected in the high salary level. Big data is one of the current high-paying industries. At present, big data talents have become scarce resources in the market, with good development prospects and rising salary levels.