Bachelor of Science in Data Science

Data drives solutions and major decision-making for organizations of all sizes and types. Quinnipiac’s BS in Data Science teaches you the fundamental skills necessary to extract, analyze and interpret massive amounts of data in all of its forms, making you highly sought after by employers in nearly every sector.

There is a growing demand in companies and institutions all over the world for professionals who can harness data to solve complex problems. Their insights are used for everything from predicting a company’s customer retention rate to identifying anomalies in DNA structure to measuring the spin rate of a Major League Baseball pitcher’s curveball. The applications of data science are numerous, and this program positions you to take advantage of the field’s incredible career growth.

Our curriculum exists at the intersection of statistics, mathematics, computer science and domain knowledge. The program was designed from the ground up, with feedback from industry professionals, to ensure that students not only understand the mathematical and statistical foundations of data science, but also how those principles may be applied to cutting-edge tools and technologies. This means our graduates will never fall behind the curve as the industry rapidly advances. It will be administered jointly by the Department of Mathematics & Statistics and the Department of Economics. Our departments are well positioned to offer a unique degree program that will produce graduates with the skill set needed to work with “big data”, with the option of immediate employment in the field of Data Science or continuing to a Ph.D. program.

All data has context. A keystone of Quinnipiac’s data science major is understanding that context and integrating it with deep technical knowledge to draw meaningful conclusions. With our specially tailored curriculum, students may easily acquire a second major (e.g., economics, mathematics, industrial engineering, biology, etc.) and link those studies to data science through a capstone project. This means that you do not need to “sacrifice” your passion to gain relevant quantitative skills.

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