Which of the following specialties are more popular in 2018? Big Data is a hot topic

The University is currently in the public notice period for applying for a new major and withdrawing a major. From the public list published by the Ministry of Education, we can see that the "Data Science and big data technology" Major that has been booming since last year has maintained its advantages, is the most widely applied new major in China;

At the same time, artificial intelligence, which has become a key national development industry, is also a hot new major.

New major, leading in Big Data

In 2012, the Ministry of Education Revised and formed the "general university undergraduate professional catalog (2012)" and "general university undergraduate professional settings management provision", which stipulated that the professional settings and adjustments should be subject to the record filing or approval system: if a college is set up with a major in the professional catalog, you can apply for an ICP filing from the Ministry of Education. If you want to add a new major that is not included in the professional catalog, you must submit it to the Ministry of Education for approval; record Filing and approval are performed once a year.

According to a list published by the Ministry of Education this year, there were 2018 New Majors declared by colleges and universities nationwide in 2542. According to incomplete statistics, more than 220 colleges and universities applying for "Data Science and big data technology" this year, far exceeding other majors.

Big Data = today's scarce skills? = High salary?

While bringing great commercial value, big data is also facing a huge demand for talents. According to the Big Data talent report released by DT Association, at present, China's big data talents are only 0.46 million, and the big data talent gap will reach 1,500,000 in the next three to five years.

The Data talent gap is far greater than you think. Therefore, it is not surprising that data talents are well-received in the employment market. Even if you have no diploma or data analysis skills, you can find a high-paying job.

It is not necessary to mention that big platforms such as Alibaba, Didi, and Netease depend on data. They are more than doubled in job search, and the "money" path is wider.

(Data comes from recruitment data for data analysis jobs, such as search, hiring, 51job, and Zhaopin)

In addition to high salaries, the popularity of data analysis is also reflected in the following aspects:

1) wide applicability of the industry: at present, the gap in data analysis jobs is mainly concentrated in the three major industries: mobile Internet, computer software and finance, accounting for 64% of the total, while the atypical data industry, subtle and rapid rise. This shows that data analysis is a common skill in all industries and can expect a good income level.

2) Career development is diverse. The initial development direction can be divided into bi experts, model algorithm experts, and business analysis experts. There is no lack of such classic cases in the circle: technical posts accumulate data analysis thinking and skills, switch to product managers, Operation Managers, management managers, and even sales at the company level, and are the best in the same period.

3) it is not difficult to get started. A lot of data analysts are not all from science and class backgrounds, but are not from economics, management, chemistry, or even English majors. Getting Started data analysts are not as difficult as we think, on the contrary, it is a hot career with high salaries, market shortage, and large development space. Once you publish job-hopping information on large recruitment websites such as tick and hunting websites, you will definitely be locked by HR and headhunters within a few hours.

In just year 23, research reports from various industries showed that big data will be the core assets of various companies in the present and even the future, and its business value will grow higher and higher, in addition, the supply is in short supply for a long period of time.

Many beginners are confused about the concept of big data, such as what big data is, what it can do, how it is learned, and how it develops, if you want to learn more, please join the big data learning QQ group: 458345782 and share a large number of dry goods (basic and advanced classic practices) with us, in addition, senior Big Data lecturers from Tsinghua University will teach you free of charge and share with you the most complete and practical Big Data learning process system in China.

Which of the following specialties are more popular in 2018? Big Data is a hot topic