What kind of double degree is suitable for computer science majors?

If the English is very poor, it is recommended to take a double degree in English, if the English itself is very good, and there is no obstacle to reading the literature and **, it is recommended to change to a double degree in finance or accounting.

If you decide on a very specific field of study (and it is not an intersection), then nothing is suitable, very unsuitable, because the undergraduate course of your major should not meet your needs at all in the first place, and naturally there will be no time to think about a second degree. After going deeper in one direction, it is natural to feel that you are being held back by the lack of other aspects, but before you reach a certain height, it is difficult to figure out what you are lacking. Moreover, it is precisely because many people sacrifice in various relatively unimportant directions that they can go deep enough in one direction.

You should really learn things for your goals, not label yourself. I'm not going to do a double degree anyway, it's too stressful.

Let's learn English, save the toothache of gnawing on documents after work. In addition, many excellent computer textbooks are better than the original English version. If you are good at English, it is also an option to write ** abroad.

Advice on accounting and financial management. Because the financial industry is based on the solid skill of finance. It is unthinkable to mix in the financial industry and not understand finance.

At the same time, aside from the financial industry, from the perspective of finance itself, IT+ finance is an outlet, doing financial system construction or IT audit.

I suggest that if you don't take the interdisciplinary discipline of computer science and other disciplines (such as machine vision) in the future, it is better not to take a double degree, it really takes a lot of time to learn computer science well.

A double degree in liberal arts to expand the scope of employment. It is also easy to study, such as accounting, foreign language, law, management, etc. A double degree, usually referred to as a double bachelor's degree, refers to a second bachelor's degree awarded to a full-time undergraduate major in another discipline on the basis of obtaining a first bachelor's degree, and meeting the conditions specified by a university.

Different from the second bachelor's degree, the second minor degree is a degree program in which the undergraduate study is to study the major and minor in another major at the same time, and obtain a minor bachelor's degree in another discipline at the same time after meeting the specified requirements.

If you want to study for a PhD in computer science, or if you want to have an in-depth understanding and research in the field of computer science, it is recommended to study a double degree in mathematics. Many directions of computer science, further into the study, are essentially some mathematical problems. If you have a good foundation in mathematics, you will be able to cope with mathematical problems in the computer with ease.

However, if the purpose of your double degree is not to better study computers, but to change economics and finance or cultivate your sentiment and broaden your horizons, then please ignore this answer.

In my personal experience, if you haven't passed the technical test yet, I recommend spending more time on improving the level of computer science, which emphasizes hands-on ability. If you must study, you can consider studying some business majors, and at least be able to make a business plan.

Foreign languages, Japanese and German are very useful!

There are also specializations in communication and automation control.

You don't need to use advanced mathematics to learn computers, so studying statistics is a cost-effective and practical choice. In mathematics, in addition to the compulsory mathematical analysis and linear algebra of all students, plus discrete, you will basically graduate at the mathematical level. The probability in statistics, regression, and Bayesian will lay a theoretical foundation for future computer learning.

Learn English, strong support for majors