Data Science Institute

Student Experience

Hear from students about why they choose to study Data Science and what they plan to do after graduation.

My interest in data science was sparked during my undergraduate studies, where I double majored in Mathematics and Business Analytics. I saw data science as a natural extension of these two fields, combining the analytical and quantitative skills of mathematics with the practical applications of business analytics.
One of the highlights of the program was the collaboration with my classmates. We had a great dynamic and helped each other learn and grow. We shared our thoughts, ideas, and feedback which helped us improve both individually and as a group.
The amazing ability to draw key insights from what seems to be a mess of ambiguous, confusing, and unstructured data is one of the many reasons I am interested in data science.
Before I committed to Brown, I spoke with quite a few of program alumni so I could hear about their experiences directly. I think that prospective students will hear overwhelmingly positive feedback and the highest of endorsements for the program.
After graduation, my plan is to use my earth science and data science education in tandem. My ultimate goal is to work in agricultural-technology to help those in the agricultural industry optimize their products, transport, growing, and sustainability.
I thoroughly enjoyed my time in the Brown DSI Master's program! Excellent courses, wonderful professors, and many intelligent peers pursuing similar goals. I'd recommend the program to anyone committed to further education in data science.
I became interested in Data Science because it allowed me to put more technical skills like math, statistics, and coding to use in almost any industry. I think data science is becoming increasingly important and will be used almost everywhere to solve problems.
The Data Science Master's program at Brown really helped me improve my coding and technical skills. The hands-on teaching style and labs provided us with essential demonstrations of Data Science and coding techniques that allowed us to expand and build our own unique projects.
Aside from the coding experience which I had very little of before my time here, it would be the methods that I have learned to deal with data that doesn't come in a nice form. I think the most humbling experience, however, would be that statistics is its own rich field of math and that it's more than p-values and confidence intervals.
The rapid development of big data and artificial intelligence lead me to pursue a degree in data science. 
Once I complete my doctoral program I hope to someday become a principal investigator in the disciplines of gene regulation and precision medicine.
I was curious about the full data science pipeline, including the acquisition of data from multiple sources, the processing of unstructured information, analysis methods to identify granular patterns and trends, and the visual communication of insights.
The program prepared me and equipped me with a set of skills and tools for modeling, analyzing complex datasets for distinctive careers in data science.