Undergraduate Program : Goergen Institute for Data Science and Artificial Intelligence : �㽶��Ƶ

Undergraduate Program

Overview

The data science major at the �㽶��Ƶ prepares students to collect, curate, analyze, and make discoveries from large-scale data.

The major combines computer science, statistics, and the student's choice of advanced coursework from a wide range of data science application areas, including biology, brain and cognitive sciences, earth and environmental sciences, and economics and business. The major equips students with the technical skills to process and draw conclusions from data, and trains them to apply their conclusions to real-world challenges.

An exterior view of the front of Wegmans Hall with students walking by.

Why Study Data Science?

In the digital age, data is everywhere - from healthcare and medicine, to government, business, and social media. Consequently, data science has become one of the fastest growing fields in recent years, with a projected job growth of 27.9 percent between 2016 and 2026. ()

However, data science is more than just a career - it is a crucial tool. By learning how to interpret and apply data, we can better understand and even solve some of the greatest challenges facing the world today. Students who study data science can become change-makers, shaping this ever-growing field and transforming science, business, and our everyday lives.

Everything you Need to Know

BS in Data Science

Data science majors at the �㽶��Ƶ learn how to collect, curate, analyze, and make discoveries from large-scale data.

This detailed presentation of our BS program will give you an inside look at what it will be like to be a data science major here at Rochester.

Visit the Data Science Major Page

Choosing Between a BA and a BS

BS in Data Science

BS students must take three additional supplementary courses to complete their degrees. The BS program also provides students with a more immersive data science experience.

BA in Data Science

With fewer required courses, the BA program offers students greater flexibility and is typically the preferred choice for students interested in a double major.

Capstone Project

Through the semester-long students get a taste for working in the industry, conducting real-world analytics projects using data provided by . Capstone students work in teams of three to four to understand their sponsor's business problem, clean and analyze data, and devise an appropriate solution. Students also explore related to the use of data science.