INTRODUCTION OF GRADUATE PROGRAM IN DATA ANALYSIS

My present major is Data Analysis. The core courses topic in graduate program includes data mining, information technology, statistical modeling, predictive analytics, optimization, risk analysis and data visualization. The extensive using of those topics could decide the diversity of the field using Data Analytics, mainly divided into 9 concentrations including Applied Analytics, Business Analytics, Data Mining, Digital Forensics, Financial Engineering, Health Data Analytics, Predictive analytics and Statistical Analytics. Data analysis has always been a popular major in science and engineering. Data analysis is a profession that has risen rapidly in recent years. Courses that will be studied in this major include computer, computer programming, applied statistics, applied mathematics, operations research, optimization selection, decision theory, and more. The Learning Data Analysis program is in close contact with computers and large amounts of data, so the program requires a high level of computer and math skills. Now that the world has entered the era of big data, data analysts have become an important position. Even companies that sound like they are completely unlinked from the data, there is a lot of data beyond your imagination that needs to be analyzed in order to make decisions that help the company run better.

My SMART Academic Goals

1· Read at least 8 Data Analysis related books this semester

After I came to the United States, I took my classes in my major. I realized that there was urgent need for me to increase my professional knowledge. Because I find my professional knowledge is not broad enough. In order to achieve success in personal and academic, I decide to read at least 8 books related Data Analysis to expand my knowledge. Especifically in writing codes, I have already started read, because I plan to read 2 books every month while there are four months in total until the end of this semester.

2· Participate in activities or experience a internship in Data Analysis field

I want to be a data analyst after I get my master degree of Data Analysis in Engineering. That requires me to have as many practice experiences as possible, which means I should take opportunities to take part in activities related to my field on campus or off campus. In other words, I not only need to finish the study task, but also get the professional experience as much as possible in my spare time. In addition, I want to have a close look about the company in the United States to find what is differences between China and United States. If there is any chance to allow me internship in the company in United states, I will grasp this opportunity to apply what I have learned into practical use. Moreover, I will make many new friends and meet new partners.

Course