Which major is better, Big Data or Agronomy?

These are two very different majors.

Big data is the current tuyere major, and agriculture is the foundation of the people.

If you must choose a major, this side can give you advice in two directions:

1. Interest. Interest is the best teacher, and only the major that you are interested in is more suitable for your own development.

2. The professional strength of the institution. You can investigate the comprehensive strength of these two majors in this school, and carefully check whether the talent training plans of these two majors are suitable for your own development.

Personally, I think the development prospects of big data are very good, why do you say that?

Why big data has good development prospects:

First, big data can create more value on its own. Big data-related technologies closely focus on data valorization, which will open up a vast market space, and the focus is that data itself will empower the entire information society.

With the application of big data, the value of big data will gradually be reflected. At present, in the field of the Internet, big data technology has been widely used.

Second, with the rapid development of data, we should assess the situation, carefully plan, advance the layout, and strive to take the initiative, deeply understand the current situation and trend of big data development and its impact on economic and social development, analyze the achievements and existing problems in the development of big data in China, promote the implementation of the national big data strategy, accelerate the improvement of digital infrastructure, promote the integration and open sharing of data resources, ensure data security, accelerate the construction of digital China, and better serve China's economic and social development and the improvement of people's lives.

Third, the big data industry chain is gradually taking shape. After the development in recent years, big data has initially formed a relatively complete industrial chain, including data collection, sorting, transmission, storage, analysis, presentation and application, many enterprises began to participate in the big data industry chain, and formed a certain industrial scale, I believe that with the continuous development of big data, the scale of related industries will be further expanded.

Fourth: Promote the innovation and development of big data enterprises, and cultivate new technologies, new formats, new models, and new industries. Aiming at the world's frontier of science and technology, we should pay close attention to industries and enterprises, and accelerate the construction of independent and controllable big data industry chains, value chains and ecological chains.

Accelerate the promotion of core technology innovation. Adhere to big data as a breakthrough, vigorously promote core technological innovation, adhere to the application as the center, and promote the application of big data in all walks of life.

Through the above analysis, it can be concluded that there is still a large space for the development of big data in the future, but we still need to conduct more in-depth research on big data.

I'm a senior graduate of Hechi College, and I have a friend who is a close relative of this major, and according to him, this major is next to their classroom, and the content of the class is basically the same.

The data science and big data technology major itself is a typical interdisciplinary discipline, involving mathematics, statistics, computer science, economics, finance, sociology and other disciplines.

Therefore, as a talent who understands big data technology and other related industry technologies, he has more and more obvious advantages in big data application fields such as cloud computing, data intelligence and other technical fields.

It is understood that the current domestic market, with the rapid development of Internet technology,At present, the competition pattern of the industry is dominated by small enterprises in terms of scale; From the perspective of geographical distribution, first-tier cities such as Beijing, Shanghai and Guangzhou are the mainstay, and gradually transition to other cities. Therefore, the scope of employment has gradually become wider and wider.

Financial industries such as banking, insurance, and investment are driven by data, and the birth of big data isServices for the circulation of financial information. In addition, major financial enterprises are scrambling to start digital and information transformation, and BA specializes in data analysis and business analysis of financial business is very suitable.

Therefore, students with big data can go to this aspect of employment, and the salary is really difficult to make people unimpressed.

If you are interested in a specific big data application area, such as cloud computingWith good knowledge structure, learning ability, programming research and development ability and logical thinking ability, and aspiring to develop in the direction of big data application development, big data analysis and visualization and big data education, then data science and big data technology major is a good choice!

I am an undergraduate student at Tianjin University, and my current major is mathematics, which was a major enrollment at that time, and there is no major stream yet, but the majors that will be diverted in the future are data science and big data technology.

Data science and big data technology are interdisciplinary disciplines. Statistics, mathematics and computer science are the three basic disciplines, and biology, medicine, sociology, management and other disciplines are expanded. If you can learn well, you will become a compound talent.

The outlook is still quite good.

After graduation, students can engage in data science research and intelligent analysis, processing, mining and application of big data in various industries.

However, you must realize that mathematics in college is very rare compared to other subjects, you must have a clear understanding and grasp of your own ability, and not to mention how good you learned mathematics in high school, you can learn well in college, this is a very wrong idea, because elementary mathematics and mathematics majors in middle school are really not comparable at all, and the learning methods are different. (I'm struggling to study now, but to be honest, if you're willing to work hard, don't hang too many subjects, you can also have a graduation certificate, and in addition, the School of Mathematics is also very busy and tiring).

And I would also like to remind you that most of the questions in math majors are proof questions. Our basic courses include Mathematical Analysis, Advanced Algebra, Topology, Complex Variable Functions, Real Variable Functions, Abstract Algebra, Mathematical Statistics, Probability Theory, etc.

Fundamentals of the discipline.

I am a sophomore majoring in data science and big data, and I have a certain understanding of this major through two years of study. Big data is actually about solving real-life problems by analyzing massive amounts of data. For example:

The optimal path of the map, the automatic recommendation of Douyin, the product recommendation of **, etc. This major focuses on the knowledge and skills related to computer science and big data processing, and involves courses such as advanced mathematics, linear algebra, data structures, probability and statistics, discrete mathematics, programming, algorithm analysis and design, intelligent computer systems, data mining concepts and techniques, and many other disciplines. The reason why I studied this major is because I love mathematics, but in the whole learning process, I found that to learn well, I also need to have a certain degree of problem analysis ability and innovative thinking, I believe that as long as you study professional knowledge carefully, you can have certain achievements in this professional path!!

The major of data science and big data technology is very good, and the prospects are relatively optimistic, and graduates can be engaged in big data management, research, application and development in ** institutions, enterprises, companies, etc. At the same time, you can be admitted to the graduate school of software engineering, computer science and technology, applied statistics, etc., or go abroad for further study.

I'm a sophomore majoring in environmental engineering, and I have a friend who is studying big data technology, so I'll talk about my feelings about this major.

The major of big data technology is still quite popular in recent years, and now the employment prospects of big data majors are relatively optimistic. As a country with a large population and a large manufacturing country, China has a huge data generation capacity and is extremely rich in big data resources. With the advancement of the construction of digital China, the data resource collection and application capabilities of various industries continue to improve, which will lead to faster and more data accumulation.

Therefore, in terms of big data, there is still a need for a large influx of talents.

However, the major of big data technology is relatively difficult to learn, even if you only want to take the exam and not fail the subject, you still have to hurry up to study, others have time to go out on Saturdays and Sundays, but people who study this major have to hurry up and study, otherwise they will not be able to keep up with the pace of learning.

There are still many jobs in the field of big data, especially in the field of big data, which are gradually covering from the development of big data platforms to the field of big data application development, which is also the inevitable result of the comprehensive application of big data. The positions involved include big data engineer, big data maintenance engineer, big data R&D engineer, big data architect, etc.; Big data operation and maintenance and cloud computing: the positions involved are such as big data operation and maintenance engineers; Among them, data mining and data analysis are the easiest to get started and the development direction with the largest talent gap.

Be studious, as long as you put your mind to it.

There is no difficult knowledge in the world, only students who are difficult to teach, and the state of mind determines the state, and there is nothing difficult in the world to be willing to climb.

Big data is a popular major in recent years. At present, the cultivation of big data talents at the national level is accelerating. In February 2016, the Ministry of Education announced the addition of data science and big data technology majors.

Computer Science and Technology (Data Science and Big Data Technology), 4 years of undergraduate program. It mainly cultivates compound senior technical talents in the field of big data science and engineering. Graduates have the basic knowledge and basic skills of information science, management science and data science, master the basic theories and basic knowledge of computer, network, data coding, data processing and other related disciplines required by big data science and technology, be proficient in big data collection, storage, processing and analysis, transmission and application technology, have the system integration ability of big data engineering projects, the ability of application software design and development, and have certain big data scientific research ability and the basic ability and quality of data scientist position.

After graduation, you can be engaged in big data analysis, processing, service, development and utilization in various industries, big data system integration, management and maintenance, etc., and can also be engaged in big data research, consulting, education and training. At the same time, with the extension and development of big data to various vertical fields, the demand for talents majoring in statistics and mathematics, as well as software fields such as data analysis, data mining, and artificial intelligence, has increased.

I'm a student of this major, so let me share my opinion.

1. Employment prospects: Although this major is not the most popular, it is still very popular. There are not a few people who enter the big factory every year. It can be said that there is no need to worry about not being able to find a job in the future.

2. Learning difficulty: As the saying goes, there are gains and losses. Corresponding to the broad employment prospects are the pressure of difficult disciplines. Professional courses are very difficult to learn. If you want to get a high score, you have to spend all day in the library.

Big data is a hot word that has emerged in recent years, and with the popularization of the Internet, the use of big data is becoming more and more extensive. As we all know, Guizhou is the big data center of the country, and as a Guizhou person, I think I also have a certain say in the use of big data in people's lives. In Guizhou, many colleges and universities have also opened new majors related to big data due to the development of big data, such as Guizhou University and Guizhou Normal University.

Moreover, this major is also a popular major, and there are more enrollment places for this major every year, and the school's teaching resources are better for them. Below I will talk about my insights on this profession based on what I know.

1.Professional situation

Data science and big data technology major is a new major added by the Ministry of Education in 2015, but this major is a very comprehensive major, can not say which discipline it belongs to, it involves computer aspects, information planning and other aspects of knowledge, so different colleges and universities for its training program is also different, it mainly learns computer science and big data processing and other related knowledge and skills.

2.Admissions at institutions

Big data as a hot word in recent years, naturally major universities also have special enrollment plans for data science and big data technology majors, the most typical of which is in Guizhou, after all, the status of Guizhou's big data center is not groundless, in addition to Guizhou, other schools also have. The status of these schools is still relatively high among universities.

3.Employment status

This profession is more popular both in the first class and in enterprises, after all, people nowadays can't do without the Internet at all, and they can't do without the Internet, so they can't do without big data. And with today's economic globalization, the use of big data is more extensive, and there is also a trend of growth in salary.

4.Summary

In fact, in general, the data science and big data technology major is still very good, the only disadvantage is that this major was opened too late, and various universities are still in the exploration stage of its development, so if you study this major, it may be a little confusing.

It's pretty goodMajor in Data Science and Big Data TechnologyIt is a combination of software and hardware, based on computing technology, and featuring data science and big data technology. The specific employment directions of graduates of this major mainly include: data analysis, system analysis, and big data engineering application development in the field of computer and Internet; You can also become an information analyst, a business analyst, a database coordinator, and develop machine learning.

system and so on. Artificial intelligence is an unstoppable development trend, and big data technology is an important support for artificial intelligence. Big data science will become a leader in artificial intelligence technology, Internet of Things applications, and computer science.

The core of the digital economy and business development.