Analysis of Data Science in American Universities I. Professional Introduction
Data science major involves statistics, mathematics, computer, artificial intelligence, machine learning, database, pattern recognition, visualization technology and other multidisciplinary knowledge.
The arrival of the era of big data has brought new changes to various scientific fields.
Everyone's concept of "data analysis" or "data science" is usually to define the problem by a specified quantity, solve the problem based on historical observation data (rather than experimental data) and quantitative methods, and let the data tell the story by itself, rather than telling the story through experience or experiment.
Moreover, with the infinite expansion of big data, people are more and more aware that how to deal with big data will become a very useful profound knowledge, so they gradually leave the business school and CS compound.
The major of data science is basically composed of computer science, mathematical statistics and business knowledge.
The application field of this major is very wide, and there is a great demand in science and technology industry, media industry and sports industry. The figure below shows the comprehensiveness and practicability of data science.
Second, the content of data science
According to the integration of some courses, it is probably the following three aspects:
1. model, algorithm; ? 2. Data structure? industrialization
Based on this course, the background requirements of this major can be predicted. Careful observation shows that these courses are closely related to computers. Moreover, visualization, for example, is widely used at present, which is to display the data we need on the computer screen through computer graphics and image processing. So the whole process needs certain computer skills, such as programming and algorithm. On the other hand, through data analysis, useful information can be mined. Therefore, if the applicant has a certain foundation of mathematical statistics analysis, it is more conducive to the success of the application.
According to the setting of this major, it is generally set in a computer-related department or business school, so its employment direction is mostly in the computer field or business field.
Third, Columbia University.
Project Name: Master of Data Science
The School of Data Science was established, which shows the importance attached to this major. The project was newly opened in the fall of 20 14.
Courses:
A * * * needs to complete 30 credits, of which 2 1 credit is a compulsory course:
STAT W4 105 probability
CSOR W4246 data science algorithm
STAT W4702 statistical inference and modeling
COMS W4 12 1 data science computer system
COMS W472 1 Machine learning for data science
STAT W470 1 exploratory data analysis and visualization
ENGI E4800 data science apex and ethics
Application requirements:? * Qualification requirements
bachelor degree
Previous quantitative courses (calculus, linear algebra, etc ...)
Introduction course of computer programming
*? Online application? * Upload the transcripts of each tertiary institution? * Three letters of recommendation? * Personal statement? * Resume/resume? * Official Postgraduate Entrance Examination (GRE) general test scores? *$85 non-refundable application fee? * TOEFL, IELTS or PTE academic test scores? * Deadline: February 65438, 2005
Cornell University
Fourth, Cornell University.
Application requirements:? . Planning prerequisites:
A standard engineering calculus sequence, including linear algebra and vector calculus.
Probability and statistics course based on calculus equivalent to Engineering Design 2700**
Intermediate computer programming course equivalent to ENGRD 2 1 10**, using widely used languages, such as C, C++, Java or MATLAB.
* * Engineer 2700 and Engineer 2 1 10 offer autumn, spring and summer courses at Cornell University.
2. Deadline: autumn-65438+February1; Spring-September 1
3. TOEFL requirements: the total score is not less than 100, including writing 20, listening 15, reading 20 and speaking 22. Pay special attention, this is a hard requirement. If you can't meet this requirement, you won't be admitted. To be precise, there is no way to submit an online application.
Exemption conditions:
1. Citizens of English-speaking countries;
In the past five years during the application period, I have attended at least two years of English teaching courses in English-speaking countries.