Do you wish to join a reputed foreign university for a PhD in Computer Science? But you are probably worried about how best to draft your Statement of Purpose. Contact us right now and get your admission-winning SOP for PhD in Computer Science.
A statement of purpose for a Ph.D. in computer science should be a bit different from those for graduate and undergraduate degrees. Up until post-graduation, you can focus on a lot of things such as extracurricular and non-academic activities. It is also possible to join such programs from different academic or professional backgrounds. However when it comes to a research-based program like Ph.D., the focus of the essay should be on the subject expertise of the candidate. You should also be specific about your areas of interest and have a clear goal for your research. Your SOP will make a strong impact on the reader when you seamlessly interconnect these factors concisely and clearly.
A mistake that we see over and over in motivation letters written by beginners is trying hard to impress. Do not get experimental with your writing style. Using highly complex sentence structures will make it hard for the reader and create a negative impression.
The best way to illustrate a concept is through examples. Rather than describing the format for the motivation letter for Ph.D. in Computer Science, it is better to demonstrate it with a document that we have prepared. Given below is an extract from a sample SOP for Computer Science PhD. Please contact us to get access to the full document and our writing services
“My decision to become a machine learning researcher is a combined result of my professional and academic experiences. After my post-graduation in Computer Science, I joined Tata Consultancies Ltd. as a junior programmer. The stint allowed me to work on different Data Science projects for clients within and outside India. However, after working for about five years, I had the feeling that a corporate setting is limiting the academic in me. I have found that the pleasure of investigative learning comes from challenging assumptions and striving to achieve the impossible. I quit my job and joined the Delhi University as a research associate. My professional expertise has helped me coordinate the research team and work towards the final results promptly. At present, I am working with Dr. John Smith at IIT Madras on a model that can detect and label various elements from motion pictures. The project has shown a promising 85% accuracy, and the algorithms are being fine-tuned to scale the precision factor up. My primary contribution was the implementation of the algorithms into code. I wish to focus my research on Machine Learning, particularly on unsupervised learning that employs a Bayesian model. The goal is to develop a model that can recognize fragmented components from a video and rework it based on images of other similar objects in the data corpus. Although there are ongoing researches with similar end goals, none of them has explored the idea of implementing clustering with a high classification threshold. “
