The Mathematics for Data Science program requires 10 distinct courses for at least 30 credits as described below.  Note that while some courses may be used to fulfill more than one requirement it is still considered only a single course and may only contribute once to the total course count.  Finally, at most only one course from each of the following groupings may be used to fulfill the minimum course and credit requirement (i.e.: requirements: minimum of ten courses and at least 30 credits):  Intro Linear Algebra (MATH 320, MATH 340, MATH 341, MATH 375), Intro Differential Equations (MATH 319, MATH 320 or MATH 376), and and Intro Probability (MATH/​STAT  309 or MATH/​STAT  431).

RESIDENCE AND QUALITY OF WORK

• 2.000 GPA on all MATH courses and courses eligible for the major.⁴
• 2.000 GPA on at least 15 credits of upper level credit in the major.⁵
• 15 credits in MATH in the major taken on the UW-Madison campus.⁶

SAMPLE FOUR-YEAR PLAN

This Sample Four-Year Plan is a tool to assist students and their advisor(s). Students should use it—along with their DARS report, the Degree Planner, and Course Search & Enroll tools—to make their own four-year plan based on their placement scores, credit for transferred courses and approved examinations, and individual interests. As students become involved in athletics, honors, research, student organizations, study abroad, volunteer experiences, and/or work, they might adjust the order of their courses to accommodate these experiences. Students will likely revise their own four-year plan several times during college.

In general, your four year plan in mathematics should be organized along the following sequence: 1) Calculus, 2) Linear Algebra, 3) Required Intermediate level course, 4) Additional intermediate level courses as needed, 5) Required advanced level course, 6) Additional advanced level courses.