MGMTMSA 435
Data Visualization
Grades
3.74
Average grade awarded in MGMTMSA 435. Not a student rating: this is what the grades were.
In the A range
87%
of the 181 letter grades
D, F or W
0.0%
of every letter grade awarded, plus withdrawals
Taken pass/no pass
0%
nobody in the record took it pass/no pass
The registrar's own records: 181 grades over 3 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 3 terms ran 3.71 to 3.76.
Historical grades for all professors, across recorded terms. The course summary above includes all professors.
- A 71 · 39.2%
- A- 87 · 48.1%
- B+ 12 · 6.6%
- B 5 · 2.8%
- B- 5 · 2.8%
- C+ 1 · 0.6%
- S 6 of 187
Percentages are of the 181 letter grades. Grey bars are non-letter outcomes: satisfactory (S).
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 | Spring 2026 |
|---|---|---|---|---|---|---|---|
| RATCLIFF, RYAN D reviews ↗ | 3.74 | 3.74 | 181 | 3 | 87% | - | not teaching it |
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
Work types reported in BruinWalk reviews of this course, across recorded instructors and terms. They may differ from this term's syllabus.
dibs has not read this course’s reviews, so it cannot say what kind of work it sets. That is dibs not having looked. It is not a course without papers or exams, and the reviews linked below are the answer until dibs catches up.
From the registrar's catalog
Lecture, three hours (five weeks). Limited to Master of Science in Business Analytics students. Offers solid basis for working with data and for exploring discipline. Collection, visualization, analysis, and processing of big data through lectures, case studies, and intensive class project. Tableau and Python are used. Addresses both theoretical underpinning of domain and intensive applied computing component. S/U or letter grading.
Sections in Spring 2026
From the people who took it
Student reviews
What taking MGMTMSA 435 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.
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External reviews are separate and do not count toward the dibs rating.