UT admissions sent an alternative list of courses, saying they can't give a definitive answer about the UCSD ones.
The courses they recommended are here:
SDS 302: Fundamentals of Statistics, edX.org, MIT, 18 weeks: https://www.edx.org/course/fundamentals-of-statistics
Statistics: Unlocking the World of Data, edX.org, Univ. of Edinburgh, 8 weeks https://www.edx.org/course/statistics-unlocking-the-world-of-data
Basic Statistics: coursera.org, Univ. of Amsterdam, 8 weeks: https://www.coursera.org/learn/basic-statistic
1) Introduction to Probability and Data with R, coursera.org, Duke Univ., 5 weeks
2) Inferential Statistics, coursera.org, Duke Univ., 5 weeks
BioStatistics: edX.org, Doane Univ., 8 weeks: https://www.edx.org/course/biostatistics-2
1) Summary Statistics in Public Health, coursera.org, Johns Hopkins Univ., 4 weeks
2) Hypothesis Testing in Public Health, coursera.org, Johns Hopkins Univ., 4 weeks
3) Simple Regression Analysis in Public Health, coursera.org, Johns Hopkins Univ., 4 weeks
Calculus 1A,B,C mitX, 13 weeks each https://www.edx.org/course/calculus-1a-differentiation
Linear Algebra - Foundations to Frontiers, edX.org, Univ of Texas, 15 weeks https://www.edx.org/course/linear-algebra-foundations-to-frontiers
The Math of Data Science: Linear Algebra, edX.org, RICE, 8 weeks https://www.edx.org/course/math-of-data-science-linear-algebra
Gilbert Strang. RES.18-010 A 2020 Vision of Linear Algebra. Spring 2020. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.