Today, nearly every business, government, social media platform, and educational institution collects and analyzes data about its users, logistics and operations, and media presence with the goal of extracting valuable insights and utilizing the resulting efficiencies.
The data science BS program produces graduates with the sophisticated analytical and computational skills required to thrive in a quantitative world where new challenges are encountered at an ever-increasing rate.
The Department of Statistics and Actuarial Science and the Department of Computer Science collaborate to offer the major in data science. The program is administered by the Department of Statistics and Actuarial Science in consultation with the Department of Computer Science. A Master of Science degree in Data Science also is offered.
Students interested in this major need to meet the requirements for admission to the College of Liberal Arts and Sciences.
Data science majors may not earn a second major or a minor in computer science or statistics, a major in computer science and engineering (College of Engineering), the certificate in large data analysis, or the certificate in social science analytics. Second majors or minors in other fields are permitted.
The University of Iowa provides a variety of scholarships to eligible undergraduate students through the Iowa Scholarship Portal. Scholarships are available to first-year, transfer, and currently enrolled students. For additional details on scholarships for your program of study, check directly with the department or college.
The data science major emphasizes the statistical/probabilistic and algorithmic methods that underlie the preparation, analysis, and communication of complete data. With its focus on technical foundations, the data science program promotes skills useful for creating and implementing new or special-purpose analysis and visualization tools. It also promotes a fundamental understanding of how to best handle uncertainty when making data-driven decisions.
Data science majors develop data preparation skills, including writing software to obtain, extract, merge, clean, and/or transform raw data. Analysis of information extraction methods include machine and statistical learning, statistical modeling and inference, and algorithm efficiency analysis.
Data visualization, report writing, and oral presentations are important communication methods. The major includes two capstone courses that emphasize communication, ethics, and teamwork.
In addition to courses required for this major, students also must complete the requirements of the College of Liberal Arts and Sciences GE CLAS Core.
See Data Science in the UI General Catalog to learn more about required courses and graduating with honors.