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Course Descriptions and Requirements

Course descriptions and requirements for the Data Science major and minor are available in the Undergraduate Catalog.

The data science major has been designed with the application domain in mind. Courses from other departments not listed can also be included in the program with department approval.

Double Majors

While designed to be a stand-alone major with the inclusion of application domain courses, the requirements for the data science major overlap nicely with those from mathematics and from computer science. A double major with data science in either of those areas will result in a set of skills that are in high demand in today’s job market. Pairing the data science major with a major in business administration, economics, and biology are also in-demand combinations.

Data science combined with other majors should also be obtainable in a four-year plan, depending on the required course overlaps.

Data Science Minor

While the data science major is highly technical, the data science minor is more accessible to those with limited time to complete the required course sequence. The minor includes exposure to two high-level data science programming languages, statistics, data analytics and modeling techniques, and data visualization techniques.