MGMTMSA 433
Entertainment Analytics
Lecture.
Fall 2026: 1 section. It is open. The oldest of these readings was 14 hours ago.
Grades
3.66
Average grade awarded in MGMTMSA 433. Not a student rating: this is what the grades were.
In the A range
72%
of the 43 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: 43 grades over 2 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 2 terms ran 3.47 to 3.91.
Historical grades for AKSOY, SEZIN, across recorded terms. The course summary above includes all professors.
- A+ 2 · 10.5%
- A 11 · 57.9%
- A- 6 · 31.6%
- S 1 of 20
Percentages are of the 19 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 | Fall 2026 |
|---|---|---|---|---|---|---|---|
| NIELSON, DARREN ANDREW reviews ↗ | 3.55 | 3.47 | 24 | 1 | 50% | - | not teaching it |
| AKSOY, SEZIN reviews ↗ | 3.79 | 3.91 | 19 · | 1 | 100% | - | Open, 39 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 2 of the last 3 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 (five weeks). Limited to Master of Science in Business Analytics students. Introduction to business analytics in entertainment industry. Focus on movie studios, television, and online media. Entertainment and media executives have changed way they approach decision making as result of big data and analytics in last two years, including making greater use of specialized analytics tools; employing dedicated data insights team to inform strategic decisions; and relying on enhanced data analytics such as simulation, optimization, or predictive analytics. Examination of content as it is produced by studios and then goes from one stage to another, being shown in theater, broadcast on television, and Internet. Analytics of providing content looking both at investment needed to produce and disseminate content, and how revenues are being extracted covered at each stage. S/U or letter grading.
Sections in Fall 2026
Seat counts as of . Seat readings are snapshots, not live availability. Their timestamps show when dibs last checked.
-
Seats
Open39 seats left.
26 of 65 enrolled
Instructor
Aksoy, S. and Pasanth, N.
3.79Predicted GPA
Historical records for AKSOY, SEZIN; 19 letter grades;Seat risk
low risk
Final enrollment, averaged across each term's sections: between 20 and 26 a term over 2 terms, summer excluded, most recently 20 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 433 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.
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 · Aksoy, S. and Pasanth, N. · 26 of 65 enrolled
Nothing read since 16 Oct, 14 hours ago. Over about 2 months before that, filled by 4.
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.