Professional profile
Category: engineering; Educational system: four years; Elective subjects: physics; Subject: computer science; Degree: Engineering.
This major mainly studies big data technology under the blessing of computer science, which mainly involves three aspects: data management, software development, data mining and analysis, such as directional streaming of new media platforms, real-time analysis of traffic conditions and other application scenarios.
Focus on registration
What's your major?
Core courses: general courses for computer majors (C language, Java, microcomputer principle, computer network, computer structure, etc. ) and data science courses (data structure, database principle, big data algorithm, artificial intelligence, data modeling, etc. ). This major belongs to the category of computer, and it needs to learn the general courses of computer major and several programming languages.
The course of data science appeared later in universities than computer courses, and the content of the course is more in line with the current social reality. After the emergence of cloud computing, data science has a broader space to play.
Which students are suitable for reporting?
① Suitable for all candidates to fill in. The course of this major is mainly to cultivate students' basic skills, and these contents are not difficult. As long as you are willing to study hard, you can learn well. Although graduate school is very important, it is more like a stepping stone. The development after work is more closely related to personal ability and cognition.
② Data science and big data technology are very worthy of being included in volunteering to fill in Frant Gwo for candidates who want to fill in the computer major. For colleges and universities with large-scale enrollment, data science majors often belong to the computer category. For colleges and universities that enroll students by major, if they plan to fill in the computer major of the school, it is also recommended to fill in the data science major together.
University academic advice
How to study during college?
Participate in more projects, competitions and research. To learn electronic information and computer, it is best to try to do some practical projects at the undergraduate level. Project experience, competition awards and scientific research experience are of great help to employment. Someone asked me before: Where do undergraduates go to do scientific research? One of the simplest and most clumsy methods: log in to our college official website, find the email address in the teacher directory, and send an email with a resume to each teacher, asking if you can be a research assistant. We won these channels ourselves, not others.
How about employment?
Industry: IT, new media, e-commerce, finance, retail, etc.
Specific positions: algorithm engineer, data mining engineer, data analyst, data engineer, etc.
First, graduates majoring in accounting and big data have a high degree of employment interoperability.
1. Data management direction: Similar to the information management major, the employment is not very good, which is reflected in the high substitutability of the post personnel, so the salary is only medium.
2. System development direction: similar to software engineering, the salary is better, but the employment competition is fierce, and the college background is positively related to the employment quality.
3. Direction of data analysis and data mining: You can work in IT enterprises, and you can also work in industries such as finance and new media. But if you want to be a big cow in the field, computer skills are the basic skills, and personal understanding of the industry is very important.