Data Science Minor

The Data Science minor is designed to complement a wide array of majors, enabling students to pursue their primary interests while acquiring applied knowledge and transferable competencies in extracting insights from complex data. To earn a minor in Data Science, students must complete a minimum of 15 credits by selecting courses from the groups listed below.

Requirements for the minor in Data Science; include choosing both courses from Group A, one course from Group B, and at least one course from Group C

Group A

Group B

Group C

Additional policies governing the minor

Students interested in pursuing the minor must submit a completed Minor Authorization Form that identifies the appropriately selected courses to the Minor Faculty Adviser in the Department of Computer Science and Engineering (CSE) for approval.
A minimum grade of C is required in each course for the minor.
Students must complete a minimum of six credits of the minor at the 3000 level or above, and at least half of the minor credit requirements must be earned at Oakland University.
At least 8 credits of courses chosen for the Data Science minor must be non-duplicative with coursework in the student’s major, concentration, or another minor.
Students must fulfill the prerequisites for the courses they select as part of the minor. The minimum 15 credits for the minor requirement do not include prerequisite courses.
Students must obtain permission from the CSE Department in order to register for CSI designated courses numbered 3000 or higher.

The Data Science minor is available to students from all majors, except for those pursuing a major in Data Science. However, students enrolled in any program offered by the CSE Department are advised to prioritize selecting courses in data science as part of their professional tracks and electives whenever feasible, rather than pursuing the minor, to efficiently utilize their course credits.