Which is better, big data major or software engineering major?

The scale of China's software industry is not very large, and some software companies only adopt some software engineering ideas in software production, and there is still a certain gap between them and large-scale industrial production. The reasons include the problems of management system, market problems, policy problems, and the incomplete and imperfect software engineering theory. Therefore, the research and application of software engineering, as well as the further development of China's software industry, require certain software engineering scientists and technicians who have both the theoretical foundation and research ability of software engineering and certain practical experience. The future of software engineering is bright.

Software service outsourcing is a modern service industry that is intellectually talent-intensive. A large number of well-known outsourcing enterprises have settled in Ningbo. The main employment destinations include software outsourcing and service enterprises, information products and service enterprises, as programmers, software testers, project managers and other positions.

Software engineering is the study of engineering methods to build and maintain effective, practical, and high-quality software. It involves programming languages, databases, software development tools, system platforms, standards, design patterns, etc. In modern society, software is used in many ways.

Typical software such as email, embedded systems, human interfaces, office suites, operating systems, compilers, databases, games, etc. At the same time, almost all industries have the application of computer software, such as industry, agriculture, banking, aviation, ** sector, etc. These applications contribute to economic and social development, making people's work more efficient and improving their quality of life.

Relevant scholars and organizations have given their own definitions: BOEHM: the use of modern scientific and technological knowledge to design and construct computer programs and the relevant documents necessary for the development, operation and maintenance of these programs.

IEEE: Software engineering is a systematic approach to developing, running, maintaining, and repairing software. fritz bauer：

A series of methods to establish and use sound engineering principles to obtain reliable software that can run effectively on real machines in a more economical way.

Software. Main courses: programming languages, databases, software development tools, system platforms, design patterns.

And so on.

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There is actually an intersection between the two. However, software engineering is more engineering, and big data is more academic. From this perspective, the outlook for big data is clearly better.

However, the interest in the choice of majors is also very important, and it is foreseeable that most of the software projects come out of the end to become programmers, every day.

Big data major Chi Shan.

When it comes out, it will also knock on **, but it doesn't have that high specific gravity. I also have to do data analysis, make all kinds of charts and so on.

Summary. Hello, glad to answer for you. Data science and big data technology is difficult to get into the software engineering graduate students of this school, this is a very popular study nowadays, of course, he also has a certain degree of difficulty, its difficulty is mainly in two points, the first point is also mathematics, he requires high mathematics, or some analysis and statistics of processing, as well as some knowledge including current algebra, in addition to the aspects of programming, that is, the so-called software engineering and big data database association and data analysis visualization.

In addition, the most advanced technology comes from the English side, so it is necessary to have a very good English and language skills. If it is completely biased towards application, then it is generally required to start with a master's degree, so the master's degree requires not only engineering aspects, but also corresponding theoretical knowledge.

Hello, glad to answer for you. Data science and big data technology is difficult to enter the graduate school of software engineering, this is a very popular knowledge nowadays, of course, he also has a certain degree of difficulty, its difficulty is mainly in two points, the first point is also mathematics, he requires high mathematics, or some analysis and statistics of processing, as well as some knowledge including current algebra, in addition to the aspects of programming, that is, the so-called software engineering and big data database association and data analysis and old visualization. In addition, the first technology to be searched is derived from English, so it is also necessary to have a very good English and language skills.

If it is completely biased towards application, then it is generally required to start with a master's degree, so the master's degree requires not only engineering aspects, but also corresponding theoretical knowledge.

There are probably several directions for this precipitation, no matter which side of the source is, there are two basic subjects with high score requirements, one is advanced mathematics and the other is English. Advanced Mathematics is used to understand algorithms and structures, and English is used to read scientific research materials and scholarly references from other national science laboratories. Whether it is data science or big data, it involves data processing in the end, how to have a large number of templates for data processing work research, the selection of postgraduate subjects and the preparation of experimental data, etc., will be a difficult point after you have prepared for basic work.

As far as scientific experiments are concerned, whether the two colleges have sufficient faculty talent and corresponding support for you to complete the basic training is a question you need to think about. You can also look at the school's stronger subjects or other pathways.

1. Major in software development. Software development is the most well-known profession for many people, which is commonly known as programmers. In daily life, no matter which smart product we use, it is inseparable from this professional talent.

And now we can find that the iterative update speed of the software is very fast, even if it is the smart app in our mobile phone, there will be update prompts every once in a while. Therefore, the relevant talents are very sought-after in the market, and the salary is also very considerable.

2. Major in big data management. In recent years, we can find that the term big data has been frequently appearing in our field of vision, and many Internet giants have become more and more attached importance to big data. However, due to the emergence of this sub-discipline, many universities do not offer similar courses, but the vast majority of companies have an urgent need for similar professionals, so in this case, fresh graduates.

As long as you can enter a large Internet company, the monthly salary starts at 10,000 yuan.

3. Network security.

Specialized. Network security is also a major Internet company has been dealing with a problem, because network security is extremely important, and the relevant professionals in the market are mostly transferred by other professional people, which leads to the entire market demand for talents is very urgent.

Big data and software development, in fact, to be precise, big data is also a direction in software development.

Software development, guess you should refer to development engineers, programmers, etc., from the professional scope, big data development also covers. In terms of employment prospects, big data is currently a hot direction, and the salary package is also top-notch among programmers.

Specifically, big data can also be subdivided into directions. For example, big data development is mainly technical work, data system platform development, data application development, ETL development, system operation and maintenance, etc., and this work is now in general demand and the treatment is good.

There is also big data analysis and mining, especially the direction of mining algorithms, which is also very important now, especially for BAT large companies, which have more data resources and more job requirements in this area, and the treatment exceeds many other positions at the same level.

Both are very good, but if you have to choose one, it may be better for big data.

Software engineering majors have had very good employment performance in recent years, and if you don't plan to go to graduate school, it is a good choice to choose software engineering majors during your undergraduate studies. Software engineering majors pay more attention to the knowledge of software development and software management, and there are many practical links in the curriculum system, and many universities will also set up some laboratories jointly with large technology companies, which will also provide students with more practical scenarios.

Big data major is one of the majors just established in recent years, from the perspective of industry development trends and talent demand trends, the demand for talents in the field of big data is still relatively large, and the added value of many positions is also relatively high, which is reflected in the employment situation of graduate students in the direction of big data in recent years.

Big data major is a choice that can be attacked, retreated, and defended, and can choose to engage in related positions in the field of artificial intelligence, and can choose to engage in traditional software development positions. If you have a strong learning ability and a good foundation in mathematics, you can also focus on the big data major.

The engineering part of the data science and technology course is less than the engineering content in software engineering, but the big data part is more systematic.

The main course of software engineering big data direction is to study three or four courses related to big data, such as introduction to data and data mining in the third year of software engineering professional courses, mainly to learn the application in engineering;

Employment difference: The overall difference is not big, because there are only two kinds of jobs that undergraduates can do in the field of big data:

1) Big data analysis.

2) Data mining (low-level) These two positions are big data counterpart positions, salary and difficulty data mining is greater than data analysis, and the deeper learning is artificial intelligence, natural language processing, computer image processing, intelligent recommendation, neural network, machine learning, deep learning, etc. (this part is one of the in-depth learning in the research and crack research stage, although it is difficult but the salary is very high).