MGMTMSA 400
Statistical Foundations for Analytics
Lecture.
Fall 2026: 2 sections. All of them are open. The oldest of these readings was 12 hours ago.
Grades
3.43
Average grade awarded in MGMTMSA 400. Not a student rating: this is what the grades were.
In the A range
45%
of the 520 letter grades
D, F or W
0.2%
of every letter grade awarded, plus withdrawals
Taken pass/no pass
-
the registrar has this letter grade only this term
The registrar's own records: 520 grades over 5 terms, Fall 2021 to Fall 2025. Every instructor is pooled here.
What is inside that record
No summer session is in that record.
The table below splits them, and term averages across those 5 terms ran 3.23 to 3.57.
Historical grades for YUAN, YIHAO, across recorded terms. The course summary above includes all professors.
- A+ 1 · 0.9%
- A 44 · 39.6%
- A- 16 · 14.4%
- B+ 31 · 27.9%
- B 14 · 12.6%
- B- 4 · 3.6%
- C+ 1 · 0.9%
- I 1 of 112
Percentages are of the 111 letter grades. Grey bars are non-letter outcomes: incompletes (I).
How the non-letter outcomes are counted
They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.
By instructor
| Instructor | Predicted GPA | Raw | n | Terms | A range | Workload | Fall 2026 |
|---|---|---|---|---|---|---|---|
| ROSSI, PETER E reviews ↗ | 3.40 | 3.40 | 409 | 4 | 43% | - | not teaching it |
| YUAN, YIHAO reviews ↗ | 3.56 | 3.57 | 111 | 1 | 55% | - | Open, 19 seats left |
Why Predicted is not the Raw average
“Predicted” is shrunk toward the course average, which is itself shrunk toward the department, so an instructor with a handful of students sits near the course mean rather than topping the list.
Grade records describe outcomes. For what a course is like to take, read student reviews written on dibs below or follow the separate external review link.
Workload and assignments
Reported assignments across instructors and terms. This term's syllabus may differ.
No reviews were listed in the BruinWalk source checked 7 days ago. Assignment details are unknown. Check the current syllabus.
In Falls
Ran in 5 of the last 5 Falls.
From the terms dibs holds, which start in Fall 2021 and exclude summer. A department can run a course in a quarter it never has before.
From the registrar's catalog
Lecture, three hours. Limited to Master of Science in Business Analytics students. Review of mathematics, statistics, and probability concepts utilized in business analytics. Topics include basics of calculus, linear algebra, probability, and statistics. Letter grading.
Sections in Fall 2026
Seat counts as of : the oldest of these 2 readings. Seat readings are snapshots, not live availability. Their timestamps show when dibs last checked.
-
Your saved details do not meet a listed restriction for Lec 1. The restriction reading needs rechecking.
Seats
Open19 seats left.
53 of 72 enrolled
Instructor
Yuan, Y. and Zhu, M.
3.56Predicted GPA
Historical records for YUAN, YIHAO; 111 letter gradesSeat risk
medium risk -
Your saved details do not meet a listed restriction for Lec 2. The restriction reading needs rechecking.
Seats
Open22 seats left.
50 of 72 enrolled
Instructor
Yuan, Y. and Zhu, M.
3.56Predicted GPA
Historical records for YUAN, YIHAO; 111 letter gradesSeat risk
medium risk
Final enrollment, averaged across each term's sections: between 47 and 67 a term over 5 terms, summer excluded, most recently 56 in Fall 2025. That is the shape across years, not this term, which is above.
From the people who took it
Student reviews
What taking MGMTMSA 400 was like: the work, the teaching, and what students wish they’d known.
Your experience could be the first.
No student reviews are available to read on dibs for this course yet. Took it? Tell the next person what helped, what was hard, and how you spent your time.
Looking for more perspectives?
External reviews are separate and do not count toward the dibs rating.
Seats over time in Fall 2026
How each lecture has filled since dibs first saw it. This course runs 2 lectures; the legend under the chart picks one.
A dot is a reading where something moved: the seat count, the status, or the waitlist.
What a flat run means, and where a line starts
Flat between dots means it did not drift, it held and then jumped, and a line starts when dibs first saw that lecture rather than reaching back before it existed. A lecture that has never moved draws a flat line across the whole window, and one with two or three readings draws a line joining them, which is too few to read a trend from.
Lec 1 · Yuan, Y. and Zhu, M. · 53 of 72 enrolled
Nothing read since 16 Oct, 12 hours ago. Over the 2 months before that, freed 7 seats.
Lec 2 · Yuan, Y. and Zhu, M. · 50 of 72 enrolled
Nothing read since 16 Oct, 12 hours ago. Over the 2 months before that, freed 3 seats.
How readings and alerts work
Dated seat counts can be available even when hourly check history is missing. Gaps do not show whether seats changed between observations.
Seat counts show the last successful read, not live availability. Refreshes can be delayed by request limits or upstream interruptions. Watched sections receive priority, but an hourly update for every section is not guaranteed.
The registrar can change a seat count between our checks. Alerts depend on dibs detecting an opening and completing delivery; a quiet watch does not prove that no seat opened. Check the registrar before enrolling.