---
license: cc-by-nc-4.0
task_categories:
- tabular-classification
- tabular-regression
language:
- en
tags:
- education
- gpa
- course-catalog
- higher-education
- grades
- synthetic-data
- mindweave
- lms
- academic
- student-records
- enrollment
- test-data
- edtech
- transcript
- university
pretty_name: University Student Grades & Enrollment Dataset (Free Sample)
size_categories:
- 1K<n<10K
configs:
- config_name: courses
  data_files: data/courses.csv
  default: true
- config_name: departments
  data_files: data/departments.csv
- config_name: enrollments
  data_files: data/enrollments.csv
- config_name: semesters
  data_files: data/semesters.csv
- config_name: students
  data_files: data/students.csv
---

# University Student Grades & Enrollment Dataset (Free Sample)

> **This is a free sample** with 2,553 rows. The full dataset has **38,567 rows** across 5 tables.

Academic records for a simulated mid-size US university (4,200 students) over
6 semesters (Fall 2021 - Spring 2024). Includes student demographics, course
catalog, enrollment records, and grades with realistic GPA distributions.

Features grade inflation trend, prerequisite enforcement, major-specific
performance patterns, and two anomalies: a COVID remote-semester grade bump
and a cheating scandal causing mass failures in one course.

Ideal for: LMS development, academic analytics, student retention modeling,
grade prediction ML, and education data warehouse testing.


## Sample tables

| Table | Sample Rows |
|-------|------------|
| courses | 39 |
| departments | 8 |
| enrollments | 2,000 |
| semesters | 6 |
| students | 500 |
| **Total** | **2,553** |

## Full dataset

The complete dataset includes all tables with full row counts:

| Table | Full Rows |
|-------|----------|
| courses | 39 |
| departments | 8 |
| enrollments | 34,314 |
| semesters | 6 |
| students | 4,200 |
| **Total** | **38,567** |

**Formats included:** CSV, Parquet, SQLite

**[Get the full dataset on Gumroad](https://mindweavetech.gumroad.com)**

## About

Generated by [Mindweave Technologies](https://mindweave.tech) -- realistic synthetic datasets for developers, QA teams, and data engineers.

Every dataset features:
- Enforced foreign key relationships across all tables
- Realistic statistical distributions (not uniform random)
- Temporal patterns (seasonal, time-of-day, day-of-week)
- Injected anomalies for ML training and anomaly detection
- Deterministic generation (same seed = same output)

Browse all datasets: [https://mindweavetech.gumroad.com](https://mindweavetech.gumroad.com)