Today’s world is data-driven. Data science is an exciting field, with its emphasis on using data to describe and understand the world around us. It applies ideas and methods from statistics, computer science, and optimization to find innovative solutions to important problems in many areas. Graduates that combine data science knowledge with fields like management science are in high demand.
The minor in data science requires a minimum of 24 credit hours (eight courses). Students must complete the mathematics and data science core courses before proceeding to the advanced courses.
Three courses from the following categories. All three courses may not be from the same category. Students majoring in mathematics or statistics should complete at least two of these electives with courses outside their major.
Some of these courses may require prerequisites that are not listed above.
Students majoring in statistics, mathematics or an engineering discipline must use STAT 4340/EMIS 3340/CS 4340 to satisfy the statistics, mathematics or engineering major. Another course from this list must be chosen to satisfy the data science methodology elective.
Advanced Elective Course
Students may not double-count any advanced course(s) taken from the above course lists.
Students not enrolling in one of the capstone courses listed above should obtain pre-approval for an integrative project-based course or undergraduate research experience to satisfy the capstone requirement. Consult with the data science undergraduate adviser for additional guidance.