Introduction to Data Science and Big Data Technology.
The application of big data is very wide-ranging, involving all aspects of life. This major is a new major in 2015, with strong cross-cutting nature, and this major is in urgent need of talents to join, and it is a hot major in the future.
Discipline category: engineering
First-level discipline: computer science
1. Professional Introduction.
According to the major of Data Science and Big Data Technology (English name, data science or big data), referred to as data science or big data, it aims to cultivate high-level big data talents with big data thinking, big data thinking and analysis and application technology.
Master computer theory and big data processing technology, systematically train students to master the solutions to various typical problems in big data application from the three main levels of big data application (i.e., data management, system development, massive data analysis and mining), and actually improve students' ability to solve practical problems, have the ability to integrate domain knowledge with computer technology and big data technology, innovate, and be able to engage in big data research and development and application of high-level talents.
Data science and big data technology mainly studies the knowledge and skills related to computer science and big data processing technology, and analyzes and solves practical problems from the three main levels of big data application (i.e., data management, system development, and massive data analysis and mining).
2. Professional core courses.
C Language Programming, Data Structure, Database Principles and Applications, Computer Operating Systems, Computer Networks, J**A Language Programming, Python Language Programming, Big Data Algorithms, Artificial Intelligence, Applied Statistics (Statistics), Machine Learning, Data Modeling, Big Data Platform Core Technologies, Big Data Analysis and Visualization, Big Data Preprocessing, Big Data Management, Big Data Practice, etc.
Third, the direction of employment.
IT enterprises: big data technology, big data research, data management, data mining, algorithm engineering, application development.
For example, Toutiao uses algorithms to match the information content that individuals prefer, ** recommends products based on data such as consumers' daily purchase behavior, and electronic maps plan the optimal route for vehicles based on past traffic data.
Graduates can be engaged in big data management, research, application development and other aspects of institutions, enterprises, companies, etc. At the same time, you can be admitted to graduate school in software engineering, computer science and technology, applied statistics and other majors or go abroad for further study.
4. Employment prospects.
The professional Internet search has increased significantly compared with the previous year, and the search ranking is also very high, it can be seen that many people are paying attention to this profession now, and it is foreseeable that the employment prospects of professionals in this industry will be very optimistic in the future!
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