Mathematics, computer science, and statistics - distinct programs that share a single home at St. Lawrence - are each deeply rooted in the Liberal Arts. Within each of these majors, introductory courses foster the critical thinking, reasoning, and problem-solving skills necessary for all disciplines while upper-level courses sharpen these skills and introduce students to the deeper world of the majors.
At St. Lawrence, you’ll get great hands-on experience through courses and research opportunities with classmates and professors. Our department emphasizes conceptual learning, allowing students to transfer the skills they learn in one discipline to another, creating well-rounded problem solvers. The three disciplines have many points of intersection, so it is not uncommon for students to concentrate in more than one of our disciplines through major/minor combinations.
Upon completion of their degree, our majors are prepared to either go on to graduate school or into the work-force. Graduates have pursued advanced degrees in each of our three majors, along with related fields like data science, engineering, and finance/business. In the work force, students are prepared for a wide variety of careers; recent examples include medical research, financial management, software development, information technology, actuarial science, and sports analytics. The skills obtained by studying mathematics, computer science, and statistics are utilized in almost any career-field, making the employment opportunities numerous.
Mathematics, Computer Science and Statistics News
Eliza Brown '24 and Assistant Professor of Math, Computer Science, and the Statistics Department Gabriel Dorfsman-Hopkins Present Art at the Joint Mathematics Meetings.
Eliza Brown '24 and Assistant Professor of Math, Computer Science, and the Statistics Department Gabriel Dorfsman-Hopkins recently returned from San Francisco, where they presented two art pieces at the JMM Art Exhibition. The pieces, Bohemian Algebraic Starscapes No. 4 and No. 7, stem from Eliza’s summer research fellowship, which involved computing and visualizing the eigenvalues of families of integer matrices, and were made using linear algebra, number theory, and high-performance computing.
Shane Hauck ’23 is finalist in the National Football League ’s (NFL’s) 2024 data analysis competition, the Big Data Bowl. This year’s competition focused on tackling. Hauck and his team wrote an analysis of NFL tackling entitled “No Edge, No Chance: The Impact of Setting the Edge on Zone Run Plays.” The annual Big Data Bowl is a data analysis competition meant to generate innovative statistical methods in football. “Contestants in each year’s Big Data Bowl compete for prizes ranging from game tickets to cash, including a $100,000 prize for the competition.” Hauck and team are finalists in the Coaching track. They are one of five teams of finalists that will present their work to judges and NFL teams at the NFL Combine in Indianapolis, IN on February 28th.