Below is the Sample SOP for MS in Data Science, USA
After completing my under graduation in Computer Science, looking for a job was a daunting task. Every job opportunity that I eyed on had a constant requisite of data as the context. Observing this trend I realized the power of data and its reach. Fortunately, I landed up working in a company called Brightnight, city, in August 2016. It was here that I was introduced to the surface of the field of Data Sciences. Working as a Java & Spring Developer I often worked on fetching data and connecting the same to various social media platforms. And this unraveled to me the reason of popularity of Data Sciences. Following the lineage and the righteous millennial approach, I too wish to contribute towards this field and gain a MS degree in Data Sciences.
At Brightnight, being my first professional encounter I was enthralled to synergize data in various domains. From managing gateways for payments, to developing web services and API’s according to business requirements, I learned it all. What was most fascinating was observing how the business requirements were predicted. I was inclined to learn this so I could work towards providing quintessential information extracted from raw data.
This desire of learning was manifested after a year’s learning at Brightnight, when I moved to work at Steric Infotech in January of 2018. This was a hard core data related job and my designation was Big Data/Hadoop Developer. Through this job my learning about Machine learning, Python, and R became exponential as I managed raw data. I not only worked on retrieving it from various modes such as audio, video and text, but also processed them. The primary learning from this experience was laden with predicting project requirements, planning them and investigating the issues during the course. Although, I had studied Computer Science, but I was beset with some challenges and these hurdles strengthened my motive of pursuing MS in Data Sciences. One such challenge that I faced was……………………
Prior to the jobs I was happy that I had received the fundamental learning in data through the Bachelor’s course. I had studied Data Base Management System, Data Mining, Data Base ware Housing and Data Base Security. This rudimentary learning was trivial, yet vital as it was through this that I came to know the various aspects of data and how it could be used in all walks of corporate life. I understood that managing data and handling it are vital parts of any organization that deals with data.
Although, academically inclined, I was equally active in participating in activities that would widen my horizons in other areas too. This led me to be active in sports, and played Volleyball and Basket ball at the state level. Other than that, I was also a part of the dancing club leveraging my dancing skills. My contribution to the society was also helpful in teaching me skills like leadership, and patience. I taught various subjects to the children in nearby school called……….
With an immense learning for a span of two years, I now feel that my journey in the field of Data needs more direction. To steer it towards the data driven learning, and furthering it towards refinement of raw data, MS would be imperative. This will also allow me to attain my eventual goals. With my short term goal being that of working as a Data Scientist in companies such as Google, Facebook so I can manage loads of raw data and extract and synergise the same in to meaningful information. In the long run, I see myself flourishing in this industry and intend to work as a Business Analyst. I am intrigued with deadlines, and as a Business Analyst I will be working on the edge to comprehend the deadlines and accomplishing them successfully.
The…………………University is an ideal platform for my course. I look forward to study subjects such as…………………………under the professors like………………………so I can ascertain my goals. Studying……………will help me perceive how data can be utilized in various domains, like healthcare, airlines, retail and many more. Having worked in corporate environment, I now understand the dependency that data has created. This is not in vain as your University allows profound learning in this domain.
I am eager to be a part of your University so I can contribute in the data related areas and understand how raw data can be refined. With an exceedingly popular domain, I am sure I will still be able to create to a niche for myself owing to my dedication, and diligence.