Spring 2027

Health Analytics

Health Analytics introduces health research perspectives and applies statistical tools to MEPS data, focusing on the interaction of health, care, and insurance.

offering recorded3 credits
Recorded instructors · Spring 2027 Margie Rosenberg3.8/5

Summary

1 / 6

Past student reviews · Margie Rosenberg

The course was described as very demanding, with vague grading schemes and poorly designed materials that were not relevant to the project.

What you’ll be able to do

  • Discuss an assortment of issues in the health area to gain knowledge of the interaction of health, health care and health insurance.

  • Synthesize research in assigned articles and critically discuss health-related peer-reviewed articles in a small, interactive group setting.

  • Apply and extend knowledge in statistics and statistical modeling as related to health topics.

  • Apply statistical methods to data from the Medical Expenditure Panel Survey (MEPS).

  • Develop presentation and writing skills by critically discussing and analyzing a health analytics paper using MEPS data.

Source: UW Guide

Grade history

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average GPA
letter grades
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All recorded terms · compare terms & instructors

Prerequisites

Course map

(ACT SCI 640,GEN BUS 656,STAT 333, or 340), or declared in undergraduate Business Exchange program

ACTSCI 655 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.25/5 from 4 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

For this course: 4.0/5 raw quality · 4.0/5 difficulty · 3 reviews

RMP profile ↗ · All captured review dates; profile matched by name.

Past student reviews · Margie Rosenberg

Margie Rosenberg taught a demanding course featuring meeting-style lectures, article discussions, and analytics assignments designed to prepare students for office environments. One student noted that following instructions closely prevented them from feeling lost.

A previous student criticized the course as poorly designed, claiming the materials were irrelevant to the project and that grading schemes were vague. They also reported that graders gave low marks.

Recent recorded grades — Fall 2023: 3.40 GPA, 70.8% A/AB (n=24 letter grades); Fall 2024: 3.63 GPA, 80.0% A/AB (n=15 letter grades); Fall 2025: 3.56 GPA, 77.8% A/AB (n=27 letter grades).

Historical instructors & teaching patterns

MARJORIE ROSENBERG is recorded teaching in Spring 2017, Fall 2017, Spring 2018, Spring 2020, Spring 2022, Spring 2023, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 300

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
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Student experience

the class

Past student reviews · Margie Rosenberg

One student found the course involved meeting-style lectures, article discussions, and analytics assignments, noting it felt like a graduate-level class.

Recent recorded grades — Fall 2023: 3.40 GPA, 70.8% A/AB (n=24 letter grades); Fall 2024: 3.63 GPA, 80.0% A/AB (n=15 letter grades); Fall 2025: 3.56 GPA, 77.8% A/AB (n=27 letter grades).

difficulty & workload

Past student reviews · Margie Rosenberg

The course was described as very demanding, with vague grading schemes and poorly designed materials that were not relevant to the project.

Past student reviews · Margie Rosenberg

A reviewer noted that the professor was very involved and that following instructions prevented them from feeling lost, despite the advanced content.

Topics

  • Interaction of health, health care, and health insurance
  • Medical Expenditure Panel Survey (MEPS) data analysis
  • Peer-reviewed article synthesis and discussion

Skills

  • Statistical tools and modeling for health topics
  • Critical discussion and synthesis of peer-reviewed articles
  • Presentation and writing skills for health analytics papers

Grades

Latest available · Fall 2025— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records
ACTSCI 655 · Spring 2027

Health Analytics

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:242:024695",
    "course_id": "ACTSCI 655",
    "course_uid": "course_06b63a2bd77811b0eec7bbab",
    "term_id": "1274",
    "source_course_id": "024695",
    "source_subject_id": "242",
    "title": "Health Analytics",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Spring"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "8d68a5da8f71827fa98088dfd0fabcb8b69132f7202479dcd962784d15486792",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}