Introduction of Data Science and Big Data Technology in Fujian Province?

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Fujian Unified College Entrance Examination: official website of Fujian Education Examinations Institute

5. What subjects do Fujian data science and big data technology majors take in the unified examination?

The data science and big data technology major of Fujian Unified Recruitment College belongs to computer science, and the examination subjects of computer science are as follows:

1, public basic course examination subjects: college Chinese, advanced mathematics.

2. Examination subjects of professional basic courses: programming and data structure, relational database and SQL language.

College students who are preparing to apply for the unified examination of data science and big data technology in Fujian should review the joint examination in advance. Although you can only take the entrance examination in junior college (that is, junior year), if you wait until then to review, there will be no advantage in time. After all, undergraduate unified recruitment is a selection examination, merit-based admission, with admission rate and quota restrictions. Therefore, candidates who are ready to apply for the exam can review in advance by using the "Fujian Undergraduate Online Course" and "Junior Undergraduate Real Question" when they are freshmen and sophomores.

6. After being accepted, what do you major in data science and big data technology?

The specific courses of Fujian data science and big data technology offered by various schools are not exactly the same, and each school has its own professional training direction. For specific courses, you can check the semester schedule after entering the school. If you want to know in advance, you can consult the school seniors or teachers.

7. What knowledge and abilities should students majoring in data science and big data technology have after entering school?

1. engineering knowledge: the ability to apply mathematics, natural science, big data engineering foundation and professional knowledge to solve complex engineering problems in the field of big data application.

2. Problem analysis: We can apply the basic principles of mathematics, natural science and big data engineering science to identify key points, model and express them, and analyze complex engineering problems in the application field of big data through literature research and draw effective conclusions.

3. Design/develop solutions: be able to design solutions to complex engineering problems in the field of big data applications, design the architecture, modules or implementation processes of big data systems that meet the needs of users, and reflect the sense of innovation in the design and development process, taking into account social, health, safety, legal, cultural and environmental factors.

4. Research: Based on the relevant principles and methods of data science and big data technology, research the complex engineering problems in the field of big data application, build a big data experimental system, analyze and interpret the experimental results, and draw reasonable and effective conclusions through information synthesis.

5. Use modern tools: be able to develop, select and use appropriate technologies, resources, modern engineering tools and information technology tools, analyze, design, simulate or realize complex engineering problems in the field of big data applications, and understand their limitations.

6. Engineering and society: Based on the background knowledge of computer engineering, I can reasonably analyze and evaluate the impact of big data engineering practices and solutions on society, health, safety, law and culture, and understand my social responsibilities.

7. Project management: Understand and master the engineering management principles and economic decision-making methods of big data systems, and apply them in a multidisciplinary environment.

8. What are the development prospects of data science and big data technology?

1, direction of postgraduate entrance examination

Data science and big data technology majors can apply for big data system research and development, big data application development and big data analysis, software engineering, computer science and technology, and applied statistics.

2. Employment direction

Students majoring in data science and big data technology can engage in big data application development and system maintenance in information technology enterprises; Engaged in big data analysis and mining, intelligent decision support and other aspects in other data-intensive industries. Engaged in big data technology, big data research, data management, data mining, algorithm engineering and application development in IT enterprises.

The above is the whole content of "Introduction to Data Science and Big Data Technology in Fujian Unified Recruitment College". It takes a lot of efforts to apply for full-time data science and big data technology college to have a good development, so I decided not to waste any more time when applying for the exam, so I quickly devoted myself to reviewing. I can choose my undergraduate major according to my major category, so that candidates can learn more and find their interests. If you miss it, you can only apply for the self-study exam or enter the exam. If you want to know more about the unified recruitment, please continue to pay attention to the "unified recruitment" column.

If you have any questions about the college entrance examination, don't know how to summarize the contents of the test center of the college entrance examination, and don't know the local policy of registering for the college entrance examination, click on the bottom to consult official website and get the review materials for free: /xl/