Meet our Students
Student Profiles
Rose Thomas

Photo of Rose Thomas

After growing up in South Louisiana, Rose attended New York University for two years in pursuit of a Bachelor’s degree in mathematics and economics. Deciding that her goals for her undergraduate education would be better suited in a smaller university with a strong interdisciplinary focus, she transferred to Brown University to begin her junior year of undergraduate studies. As an Applied Mathematics concentrator, her studies included work in differential equations, statistics, and probability. Rose also developed a strong knowledge base in economics through basic and intermediate levels of both micro and macro economics and econometrics. During her time as an undergraduate student, she also explored coursework in computer science, cryptography, abstract mathematics, and game theory while completing a senior thesis on the validity of standardized testing as a measure of academic aptitude through statistical analysis.

During her time outside the classroom, Rose spent two summers interning in investment banking. While working for Morgan Stanley Smith Barney and later for Franklin Templeton Investments, she refined both her economics and financial backgrounds while developing her analytical skills. Realizing her interests lie in quantitative analysis more than in financial services, she chose to continue her education in data science, driving her decision to apply to Northwestern’s Analytics program.

Rose is excited to begin working with larger data sets and more advanced analytics techniques and finds the broadening use of analytics across varying fields invigorating. She believes additional data that is dissected and well organized can always be used to paint a fuller, more revealing story for any problem. She hopes to gain additional skills in programming and statistics while diving into real-world problems with her MSiA classmates. Excited to learn from both her classwork and classmates, Rose is confident that Northwestern will prepare her to take on data science problems in industry, where she will be able to help others make strides in informed decision making and overall efficiency.