Computer major has become the first choice of many students. When it comes to computer majors, this term is actually very general, which causes many students and their parents to be confused and indistinguishable when choosing majors when studying abroad.
such as the following majors:
1, CS ( computer Science) Computer Science
2, CE (Computer Engineering) Computer Engineering
EE 4. SE (SoftwareEngineering) Software Engineering
5. IT (InternetTechnology) Information Technology
6, DS (DataScien CE ) Data Science
p7, BA (BusinessAnalysis) Statistics Statistics
looks alike, but not the same. This is also a major that many students who want to apply for CS majors are often confused. So today, let’s talk about the differences between the above groups of majors that are easy to confuse. When choosing a major, you won’t be foolish and confused!
Professional introduction
01 ComputerScience
refers to computer science, which is the theoretical basis for systematically researching information and computing systems and how they are applied in practical systems.
The main research fields include: artificial intelligence, computer architecture, human-computer interaction, software engineering, data and database, multimedia (computer graphics, etc.), network, information security, management information system MIS , biological information, computing Theory etc.
02 Electrical Engineering
is customarily divided into Electronic Engineering (electronic engineering) and Power Engineering (power engineering), which is what we often call weak electricity and strong electricity (weak electricity is used for information transmission, strong electricity is used for A kind of power energy.)
The definition given by Wikipedia is based on the branches of physics such as electronics, electromagnetics, covering electronics, electronic computers, power engineering, telecommunications, control engineering, signal An engineering in processing and other sub-fields. The main research branches of
are: communication and network, signal processing, electronics , integrated circuits, optoelectronics and optics, electric power technology, electromagnetics, microstructure, materials and devices, biological engineering , etc.
simply from the name of the research branch of two professional point of view, we can find some clues. There are many intersections between the two majors, such as graphics in computers, image processing and signal processing in EE, for example, networks in computers, and networks in EE, although the emphasis is not exactly the same.
03 ComputerEngineering
it can also be understood as a major part of the intersection of CS and EE. The definition given by Wikipedia is an engineering with a part of the intersection of electrical engineering and computer science as its content. Its main task is to design and implement computer systems.
The official website of the University of California, Los Angeles explains the difference between CS and CE. CE is suitable for those who have a good CS foundation and are interested in computer system hardware.In the United States, CE is sometimes opened under the CS department, called the Computer Science and Engineering department, and some is opened under the EE department, called the Electrical and Computer Engineering department. And pure EE mostly refers to the directions that the EE system has but the CS system does not, such as electromagnetic, semiconductor, optoelectronic, strong current, and other biased devices, materials, and physical directions.
04 SoftwareEngineering
software engineering, research and application of how to develop and maintain software in a systematic, standardized, and quantitative procedural method, and how to use time-tested management techniques and current capabilities Get the best technical methods combined with disciplines. It is a branch field under CS, focusing on engineering application and realization. This direction is very popular, and it is also the one that is closest to the work of .
05 IT
refers to information technology. It is the general term for various technologies mainly used to manage and process information. It mainly applies computer science and communication technology to design, develop, install and implement information systems and application software. Although IT often uses CS, SE, and information system related technologies, it is unique in that it focuses on influencing end users instead of creating new technologies.
Computer science and some related projects are based on technology. Computercientists always delve into the physical and functional aspects of technology, while theprofessional cares about how to apply technology to solve people's problems.
06 Data Science / Business Analysis / Statistics
Data Science,It is an interdisciplinary subject that has continued to rise in popularity in recent years. It is a discipline that uses data to learn knowledge. Its goal is to produce data products by extracting valuable parts from the data. It combines theories and technologies in many fields, including applied mathematics, statistics, pattern recognition, machine learning, data visualization, data warehousing, and high-performance computing.
For data science projects, the perfect applicant is to have strong mathematical knowledge, statistical knowledge and computer knowledge at the same time. There is mathematical knowledge as the theoretical basis, statistical methods as a tool for data analysis, and computer knowledge as a means of programming.
Then we go one step further. With the advent of the era of big data, we often deal with massive amounts of data. What is the ultimate purpose of analyzing these massive amounts of data? Naturally, we hope that he can guide our decision-making. This brings you to the level of BusinessAnalysis. Therefore, the content of business analysis projects and data science projects are very similar, but they have mutual emphasis.
business analysis project focuses more on the use of data analysis to guide business decisions. In the course setting of the project, there will also be some business courses, and many business students will apply for this project. Every year, many applicants interested in data science will also consider applying for some masters in business analysis, because there are not so many individual data science projects. Data science in many schools is opened as a branch under the CS or statistics department, which is just a concentration. However, with the increasing popularity of this research field, more and more colleges have begun to open separate data science projects.
and statistics, it comes to a more macro level. Data science can be simply and roughly understood as a branch of statistics. Statistics is the science of studying how to measure, collect, organize, summarize and analyze data based on data analysis in order to give correct information. Contains theoretical research, such as high-dimensional, non-parametric, etc., and more of application-level research, such as biostatistics, financial statistics, etc.
Employment direction
The following content selected a few typical positions Introduce what business you are mainly responsible for daily,It is convenient for everyone to understand more clearly:
1. Technical
Development engineer
The technical positions in the general concept are development engineers, generally divided into front-end development_span_span_span_span8 back-end development, for example , C++ development belongs to back-end development, while HTML, JavaScript, etc. belong to front-end development.
test engineer
For a product, testing and development are equally important.
As the gatekeeper of product quality, test engineers are mainly responsible for writing test plans, executing test work, recording test results, locating problems, and making suggestions for improvement.
operation and maintenance engineer
is mainly responsible for maintaining and ensuring the high availability of the entire service, while continuously optimizing the system architecture to improve deployment efficiency and optimize resource utilization.
2. Data category
Data Mining & Data Analysis
These two positions are all data-related jobs, belong to the same field, but different focuses:
mainly data analysis Responsible for visualizing data and producing various analysis reports and reports, requiring strong expression skills.
Data mining focuses on algorithms and focuses on building data models. It requires strong coding capabilities and a large amount of code is written in daily work.
3. Design category
User Interaction Designer
The main work content is to improve the data index of the product by adjusting the content of the page, which requires the interaction designer to understand the user’s usage habits.For example, how to arrange various functional modules to make the user feel more comfortable.
The following content helps you sort out the skills you need to master from a technical point of view:
A qualified Java development engineer needs to master the following technologies:
1, Java direction
came out in 1995Since then, it has become the most widely used development language in the world due to its outstanding versatility, high efficiency, platform portability and security. The Java engineer refers to a person who uses the language of Java to complete the design, development, testing, operation and maintenance of software products.
2, WEB front-end direction
Front-end development is the process of creating a front-end interface such as a Web page or APP and presenting it to users, through HTML, CSS, JavaScript and various derived technologies, frameworks, and solutions to realize Internet products User interface interaction.
At present, the front-end development in the industry mainly uses frameworks such as React , vue.js, AngularJS , etc. The previous back-end separate development model is used for product development. So in addition to the above basic knowledge and framework skills, what else is needed?
3, Python direction
Python benefits from its wide application in cloud computing, system operation and maintenance , graphical GUI, big data, artificial intelligence, machine learning and other application scenarios, along with the rapid development of the industry It is loved and used by more and more people.
Python provides an efficient data structure, as well as simple and effective object-oriented programming. Python syntax and dynamic typing, as well as the nature of interpreted languages, make it a programming language for scripting and rapid application development on most platforms,With the continuous update of the version and the addition of new language features, it has gradually been used for the development of independent and large-scale projects.
At the same time, with the rapid development of emerging industries such as big data and artificial intelligence, Python is currently one of the most popular programming languages in China. So what skills do we need to have to engage in Python technology research and development?
Finally, I suggest that students can combine their own future plans to understand the industry and the details of job development in the industry in advance, and choose a path that is more suitable for them.
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