I am applying for this master program and deeply appreciate your help to proofread my essay!
There are no specific requirements for SOP of this program. However, I am afraid I write this essay in such a large amount of words that the admission would get tired and bored.
Below is my essay.
Inspired by my freshman study of user behavior in social media, I decided to study statistical methodologies for sophisticated data analysis in the future. Thus, I have taken multiple statistics and programming courses and conducted a variety of relevant research projects during my undergraduate studies, which have well prepared myself for the advanced studies in your program. Given my keen interest in Social Statistics and academic research, I am applying to the Master of Advanced Methods and Data Analysis at University of XXX. I believe your program would be a crucial stepping stone towards my future career as a research scientist in corporate innovation labs.
My aspiration to engage in statistical analysis is rooted in my freshman study on users' location sharing behavior on social media. In this study, I was interested in how social media have inspired people, especially those of my generation, to share moments of their daily lives and to reveal personal information to others. In particular, I focused on undergraduates' location-based information sharing behavior on WeChat, the most widely used social networking service in China. Sample data from the responses of 46 undergraduates in my university were collected through questionnaires. According to the bar charts produced by Excel, the dominating factors in users' self-disclosure behavior lied in their level of extroversion and desire for social connectedness among peers, which verified my initial assumptions. However, it was unexpectedly discovered that such behavior was also driven by people's longing for the optimized image in others' impression based on the results. It came to me that there may exist other ignored explanatory variables due to the unsystematic methodology for data analysis. Therefore, I have determined to master statistical methods systematically in my following undergraduate studies since then, and your program would largely deepen my knowledge in data analytics.
My undergraduate modules have allowed me to understand the fundamental statistical theories and to perform the analysis by relevant programming languages. To begin with, on the basis of linear algebra and multivariable calculus modules, a series of statistics courses have exposed me to a wide range of probability distributions and statistical theories, including those of hypothesis testing and linear regression. Particularly, the course of Linear Statistical Models has provided me of a deep understanding of how regression models extend from continuous variables to categorical ones and how Bayesian methods could be applied to analyze generalized linear models. The rigorous curriculum of your program allows me to acquire a holistic and comprehensive training of statistical analysis-to develop my skills in experimental design, to advance my ability to draw statistical inferences and to practically apply statistics to consulting activities. Furthermore, I have mastered a variety of statistical programming languages including R and Stata through multiple programming projects. Specifically, I am proficient in building, interpreting and visualizing regression models by practice. In order to comprehend the computational algorithms, I explored the numerical approximation methods in the course of Numerical Analysis. Your program would hone my expertise in statistical computing and develop my ability from technical and non-technical aspects through the Applied Statistics Capstone, which could substantially contribute to my future career as a research scientist in data science.
In addition to the methodological training in statistics, I am particularly interested in the possible specializations and interdisciplinary research projects provided by this full-time master program. First of all, it has long been an important one of my research interests to answer cardinal questions in social science by statistical methodologies, starting from my previous study of users' sharing behavior on social media. Accordingly, I intend to pursue the specialization in Social Statistics. Apart from this specialization, I am attracted by the abundant seminars and numerous cutting-edge research projects led by the Center for Statistics and the Social Sciences (CSSS). Among these social science researches, I am especially impressed by Prof. X's work in human mobility based on GPS data. It is of great interest for me to study cluster analysis and topological data analysis by measuring human activity spaces. Additionally, the flexible course-selection mechanism at the University of XXX makes it possible for me to pursue the Data Science Graduate Option offered by the eScience Institute. This option could further strengthen my foundation in data analysis from an integrated perspective of database systems and statistical learning. These sequences of courses and fascinating research opportunities would empower me to investigate my research interests in social statistics with the combination of my research skills acquired from previous research projects.
My previous research experience in machine learning and data pricing have laid solid foundations for further research at the graduate level. I carried out my first research project in machine learning under the guidance of Prof. X in our Department of Mathematics. By predicting infantile patients' hospitalization expenditures, I deeply understood the advantages and disadvantages of different multi-class classification algorithms. I next demystified convolutional neural networks by studying the semantic segmentation of overlapping human chromosome images. These research projects not only deepened my understanding of machine learning by programming in Python but also enhanced my capability of doing research collaboratively. Currently, I focus on my final year project to develop an effective pricing model for queries of private data, which derives from the question in my mathematical modeling competition. For this project, I have systematically learned relational databases and mastered SQL database skills. My model has been deeply influenced by the non-arbitrage pricing framework established by Prof. X in her project of XX. Therefore, I am immensely looking forward to joining her research team to develop my data pricing model further. To sum up, the diverse specializations and rich research opportunities convince me that your master program would be an excellent match for me and enable me to contribute to the discipline of data science.
With regard to my career plan, I intend to become a research scientist in the statistics research labs of technology companies. Earning the Master of Advanced Methods and Data Analysis would advance my career goal with thorough methodological training in data analytics as well as a wealth of opportunities provided by University of XXX. Your program would enable me to have close contact with the leading scholars in relevant disciplines and expose me to the most cutting-edge researches. During the program, I plan to conduct a graduate Research and Development (R&D) internship in my summer vacation to accumulate practical experience through end-to-end analysis. After graduation from my master program, I would pursue the joint Ph.D. degree in Statistics and Machine Learning in light of my dual concerns of statistical theories and machine learning algorithms. Of great interest to me are the topics of recommender systems and computational advertising. I expect to explore these areas during my Ph.D. program and to engage in the fields of advertising and media consumption analytics in the statistics research department of corporate innovation labs.
To summarize, I believe that my persistent passion for data analytics, my strong academic background in statistics and machine learning, and my research ability would enable me to succeed in graduate study and research of your program. Lastly, I am sure that the excellence of your program, along with my capabilities and motivation, would lead me to my destination-seizing the opportunities for human development through data analysis and realizing them eventually.
There are no specific requirements for SOP of this program. However, I am afraid I write this essay in such a large amount of words that the admission would get tired and bored.
Below is my essay.
Statement of Purpose
Inspired by my freshman study of user behavior in social media, I decided to study statistical methodologies for sophisticated data analysis in the future. Thus, I have taken multiple statistics and programming courses and conducted a variety of relevant research projects during my undergraduate studies, which have well prepared myself for the advanced studies in your program. Given my keen interest in Social Statistics and academic research, I am applying to the Master of Advanced Methods and Data Analysis at University of XXX. I believe your program would be a crucial stepping stone towards my future career as a research scientist in corporate innovation labs.
My aspiration to engage in statistical analysis is rooted in my freshman study on users' location sharing behavior on social media. In this study, I was interested in how social media have inspired people, especially those of my generation, to share moments of their daily lives and to reveal personal information to others. In particular, I focused on undergraduates' location-based information sharing behavior on WeChat, the most widely used social networking service in China. Sample data from the responses of 46 undergraduates in my university were collected through questionnaires. According to the bar charts produced by Excel, the dominating factors in users' self-disclosure behavior lied in their level of extroversion and desire for social connectedness among peers, which verified my initial assumptions. However, it was unexpectedly discovered that such behavior was also driven by people's longing for the optimized image in others' impression based on the results. It came to me that there may exist other ignored explanatory variables due to the unsystematic methodology for data analysis. Therefore, I have determined to master statistical methods systematically in my following undergraduate studies since then, and your program would largely deepen my knowledge in data analytics.
My undergraduate modules have allowed me to understand the fundamental statistical theories and to perform the analysis by relevant programming languages. To begin with, on the basis of linear algebra and multivariable calculus modules, a series of statistics courses have exposed me to a wide range of probability distributions and statistical theories, including those of hypothesis testing and linear regression. Particularly, the course of Linear Statistical Models has provided me of a deep understanding of how regression models extend from continuous variables to categorical ones and how Bayesian methods could be applied to analyze generalized linear models. The rigorous curriculum of your program allows me to acquire a holistic and comprehensive training of statistical analysis-to develop my skills in experimental design, to advance my ability to draw statistical inferences and to practically apply statistics to consulting activities. Furthermore, I have mastered a variety of statistical programming languages including R and Stata through multiple programming projects. Specifically, I am proficient in building, interpreting and visualizing regression models by practice. In order to comprehend the computational algorithms, I explored the numerical approximation methods in the course of Numerical Analysis. Your program would hone my expertise in statistical computing and develop my ability from technical and non-technical aspects through the Applied Statistics Capstone, which could substantially contribute to my future career as a research scientist in data science.
In addition to the methodological training in statistics, I am particularly interested in the possible specializations and interdisciplinary research projects provided by this full-time master program. First of all, it has long been an important one of my research interests to answer cardinal questions in social science by statistical methodologies, starting from my previous study of users' sharing behavior on social media. Accordingly, I intend to pursue the specialization in Social Statistics. Apart from this specialization, I am attracted by the abundant seminars and numerous cutting-edge research projects led by the Center for Statistics and the Social Sciences (CSSS). Among these social science researches, I am especially impressed by Prof. X's work in human mobility based on GPS data. It is of great interest for me to study cluster analysis and topological data analysis by measuring human activity spaces. Additionally, the flexible course-selection mechanism at the University of XXX makes it possible for me to pursue the Data Science Graduate Option offered by the eScience Institute. This option could further strengthen my foundation in data analysis from an integrated perspective of database systems and statistical learning. These sequences of courses and fascinating research opportunities would empower me to investigate my research interests in social statistics with the combination of my research skills acquired from previous research projects.
My previous research experience in machine learning and data pricing have laid solid foundations for further research at the graduate level. I carried out my first research project in machine learning under the guidance of Prof. X in our Department of Mathematics. By predicting infantile patients' hospitalization expenditures, I deeply understood the advantages and disadvantages of different multi-class classification algorithms. I next demystified convolutional neural networks by studying the semantic segmentation of overlapping human chromosome images. These research projects not only deepened my understanding of machine learning by programming in Python but also enhanced my capability of doing research collaboratively. Currently, I focus on my final year project to develop an effective pricing model for queries of private data, which derives from the question in my mathematical modeling competition. For this project, I have systematically learned relational databases and mastered SQL database skills. My model has been deeply influenced by the non-arbitrage pricing framework established by Prof. X in her project of XX. Therefore, I am immensely looking forward to joining her research team to develop my data pricing model further. To sum up, the diverse specializations and rich research opportunities convince me that your master program would be an excellent match for me and enable me to contribute to the discipline of data science.
With regard to my career plan, I intend to become a research scientist in the statistics research labs of technology companies. Earning the Master of Advanced Methods and Data Analysis would advance my career goal with thorough methodological training in data analytics as well as a wealth of opportunities provided by University of XXX. Your program would enable me to have close contact with the leading scholars in relevant disciplines and expose me to the most cutting-edge researches. During the program, I plan to conduct a graduate Research and Development (R&D) internship in my summer vacation to accumulate practical experience through end-to-end analysis. After graduation from my master program, I would pursue the joint Ph.D. degree in Statistics and Machine Learning in light of my dual concerns of statistical theories and machine learning algorithms. Of great interest to me are the topics of recommender systems and computational advertising. I expect to explore these areas during my Ph.D. program and to engage in the fields of advertising and media consumption analytics in the statistics research department of corporate innovation labs.
To summarize, I believe that my persistent passion for data analytics, my strong academic background in statistics and machine learning, and my research ability would enable me to succeed in graduate study and research of your program. Lastly, I am sure that the excellence of your program, along with my capabilities and motivation, would lead me to my destination-seizing the opportunities for human development through data analysis and realizing them eventually.