Hi all, here I have written a statement of purpose for Ryerson University's data science program. I would really appreciate comments for improvement.
Statement of Purpose -- Ryerson University
Movies like minority report, and I robot spiked my interest in data sciences. PreCogs in minority report sift through truckloads of visual data to predict a future crime and thus save lives. On the other hand I, robot introduces us to VIKI short for virtual interactive kinetic intelligence which uses huge volume of data and computational powers to take control of humans. Keeping aside the threatening consequences of Artificial intelligence which is the talk of town nowadays, data mining finds its uses in varying fields. It a beacon of what can be done with data and what data can do.
Being a researcher in atmospheric sciences I understand the importance of information that can be derived from data. It was using data from a single station that Madden Julian Oscillations which is my field of work, were discovered, a remarkable discovery of a phenomenon that impacts weather across the globe. A master's degree would equip me with tools and knowledge that are the need of the hour. With this objective in mind I aspire to pursue Master in Data Science and Analytics from Ryerson University.
I have consistently been a top performer in academics, be it high school, under graduation or job based induction training. My aptitude for mathematical logic allowed me to excel in all four mathematics courses in my bachelors program. Random variables and processes form the basis of communication engineering and my degree in Electronics & Telecommunication engineering has furnished me with an in-depth knowledge of signal analysis techniques. I have been using wavenumber frequency spectrum analysis, empirical orthogonal function analysis and other such techniques to analyze variables such as precipitation and wind and fish out the dominant variability. During my induction training for the post of Scientist in XXXX, XXX, I was trained in programming languages such as FORTRAN, NCL, Grads and MATLAB. Working knowledge of these languages has enabled me to develop several tools for data analysis and visualization.
First use of machine learning in climate sciences dates back to just 2016, thus it can be confidently said that data science in meteorology is still in incipient stages. Use of deep learning systems to identify tropical cyclones, atmospheric rivers and weather fronts has been accomplished, whereas efforts are being made to use the same technique to study extreme events, which is the need in the hour in the current global warming scenario. With the advancement in Earth observing satellites and climate models, there is plethora of data available and artificial intelligence is the tool to tap into the unlimited information pool, which is my long term goal after gaining expertise in data science.
University of Ryerson's data science and analytics program provides a well-designed interdisciplinary curriculum which encompasses mathematical and computational technical skills and develops flair for research through its major research project milestone. The faculty in the program reflects the multi-disciplinary aspect of data science; the program has experts in mathematics, computer science, management and arts. I believe they will bring their academic proficiency and experience through instruction which is highly desirable to me. The industry partnership of Ryerson University enables access to data from varied fields, working and experimenting on which would give me hands on opportunity to translate my theoretical knowledge into practice and would better prepare for my future career.