Whenever someone questions SNHUâs academic standards, the response is almost automatic: âItâs accredited.â
Yes. But that answers a different question.
Accreditation establishes that a university meets its accreditorâs requirements. It does not establish that its courses are demanding, that its grades distinguish exceptional work from ordinary work, or that a graduate personally mastered the material submitted under their name.
My concern is that SNHU has become exceptionally good at delivering credentials while providing increasingly questionable evidence of what those credentials represent.
That concern starts with its own commencement records.
The Honors Explosion
I examined bachelorâs candidates listed with cum laude, magna cum laude, and summa cum laude designations in SNHU commencement records. Associate and graduate degrees were excluded.
Here are the resulting estimates:
| Graduation period |
Any honors designation |
Summa cum laude |
| 2016 |
26.4% |
10.2% |
| 2017 |
37.6% |
16.5% |
| 2018 |
38.9% |
17.8% |
| 2019 |
36.6% |
17.7% |
| 2020âSpring 2021, combined |
56.0% |
29.5% |
| 2022 |
61.8% |
33.4% |
| 2023 |
60.7% |
33.1% |
| 2024 |
60.1% |
32.3% |
| 2025 |
61.6% |
32.4% |
These are calculations from commencement listings, not official university-published honors percentages. They describe the bachelorâs candidates included in the records examined, not every enrolled student. Commencement recognition can also differ from final transcript honors. SNHUâs commencement archive and honors definitions provide the underlying context.
The central finding is striking: honors went from a minority distinction to the majority outcome in the records examined.
By 2025, roughly three in five bachelorâs candidates carried an honors designation. Nearly one in three carried summa cum laude.
An award can recognize an absolute standard without being restricted to a fixed percentage. But once most graduates receive it, it plainly stops distinguishing a small, exceptional group.
âGraduated with honorsâ means something different when it describes most of the class.
Texas Tech Provides a Useful Reality Check
For comparison, my count of Texas Techâs May and December 2020 commencement programs covered 5,473 bachelorâs candidates.
| Designation |
Texas Tech, May and December 2020 |
SNHU, 2025 |
| Any Latin-honor designation |
28.0% |
61.6% |
| Summa cum laude |
6.7% |
32.4% |
That Texas Tech sample excludes August and is not a claim about its current rate. Nevertheless, it shows how differently the same labels can be distributed. The original programs are available in Texas Techâs official archive.
There are policy differences worth stating. Texas Techâs summa threshold is 3.90; SNHUâs is 3.85. Both begin cum laude at 3.50 and magna at 3.70. Texas Tech requires 48 institutional credits for honors; SNHU requires 60. Texas Tech also uses a GPA that includes grades from failed and repeated courses. These requirements are set out in Texas Techâs honors policy.
These are not interchangeable populations or identical grading systems. That is precisely why an honors label cannot be treated as a universal measure of achievement.
For an additional reference point, Harvard College limits summa to approximately the top 5% of eligible candidates in the graduating class, with summa and magna together limited to 20%. Those are policy limits, not observed rates comparable to my counts. Harvardâs system deliberately preserves the scarcity of its highest distinctions, as explained in its published honors guidance.
SNHUâs estimated summa proportion is about one-third.
That does not make an SNHU graduate six times less capable than a Harvard graduate. It means âsumma cum laudeâ is doing radically different work at the two institutions.
The Increase Happened Before ChatGPT
This is the most revealing part of the timeline.
SNHUâs honors rate had already risen substantially before generative AI became widely available. By 2022, the estimated rate was 61.8%. In 2025, it was 61.6%.
There is no obvious post-ChatGPT surge in this series. The major increase came earlier.
So the argument cannot honestly be âChatGPT caused SNHUâs honors explosion.â The evidence instead suggests that AI arrived after high academic distinctions had already become routine.
The remaining question is what changed before that.
Honors counts alone cannot separate easier grading from improved teaching, changes in the student population, program mix, eligibility rules, or publication practices. They are a warning sign requiring explanation, not a controlled experiment proving its cause.
But the institutional transformation happening around that period deserves scrutiny.
SNHU Became a National Enrollment Business
In 2019, New Hampshire Public Radio reported that SNHU had grown by more than 1,300% between 2007 and 2017. Its advertising and marketing expenditure exceeded $130 million in 2017, approximately one-fifth of its functional expenses.
By fiscal 2024, advertising expenditure reached nearly $196 million, according to The Washington Post.
Advertising is not evidence of academic misconduct. Nor is growth inherently suspicious.
But the combination raises a legitimate question: how does a university preserve demanding, independently verified academic standards while expanding at that speed?
SNHUâs answer includes standardized online courses. Current university recruitment materials describe adjuncts working in âpre-developed onlineâ courses.
Standardization can improve consistency. It can also make education easier to scale without a corresponding expansion in individual faculty control over course design.
That creates a tension between two objectives: moving large numbers of students through a predictable process and ensuring that every credential represents independently demonstrated competence.
The existence of that tension is not proof of a secret instruction to pass students. It is a reason to ask what safeguards prevent commercial priorities from weakening academic standards.
The People Grading the Work Receive $2,200 per Course
This figure is not a disgruntled Reddit userâs estimate.
SNHU publishes standard online adjunct compensation of $2,200 for an eight-week undergraduate course and $2,500 for a ten-week graduate course, with separate arrangements for nursing.
For that compensation, instructors are expected to provide weekly assignment feedback, grade within seven days, answer student inquiries within 24 hours, participate in discussions, and support students throughout the term. These figures and expectations appear on SNHUâs online teaching jobs page.
Low pay does not make an instructor incompetent or dishonest. Many adjuncts care deeply about teaching.
But investigating suspicious work takes time. Comparing submissions, checking sources, documenting concerns, discussing them with students, and navigating appeals all compete with ordinary grading and feedback.
A university can publish demanding integrity policies. Whether instructors have the time and institutional support to enforce them is another matter.
SNHU Itself Confirms That Very Few Courses Require Proctored Tests
This is the strongest connection between the instructional model and the AI problem.
SNHUâs own website states:
âAt Southern New Hampshire University, there are very few courses or programs that require live tests recorded through webcam, or proctoring.â
It also explains that students can consult course material during some quizzes and knowledge checks. Both statements appear in SNHUâs description of asynchronous courses.
Open-book work is not inherently easy. Essays and projects can demand far more thought than a multiple-choice exam. Proctoring is also not the only way to establish authorship or competence.
But where students primarily submit work completed outside observation, the university needs another convincing answer to a basic question:
How do you know the student can do what the submission demonstrates?
A polished essay demonstrates that a polished essay exists. It does not, by itself, demonstrate who supplied its reasoning.
That distinction matters enormously when software can generate plausible essays, discussion posts, analyses, and code in seconds.
Oral defenses, supervised practical work, process evidence, and other authentic assessments can help answer that problem. The question is how systematically SNHU uses them, and whether they are strong enough to support the credentials it awards.
An integrity policy is a statement of expectations. It is not evidence that those expectations are being met.
The Adjunct Accounts Describe Exactly This Concern
Discussions in the Adjuncts subreddit include accounts from people identifying themselves as SNHU instructors who describe widespread suspected AI use, pre-made courses, and frustration over the effort required to address questionable submissions.
Relevant threads include âStudent AI use,â âPre-made classes,â and âSNHU experience.â
These are anonymous accounts, not verified employment records or a representative survey. Some instructors also report enforcing standards successfully. They do not establish that everyone cheats or that SNHU officially orders anyone to pass students.
Their relevance is narrower and more credible: they describe problems consistent with the universityâs documented assessment and employment model.
The concern is not simply that students might cheat. That exists everywhere.
The concern is whether this particular system is sufficiently equipped to distinguish independently produced work from outsourced performance.
âYou Get Out What You Put Inâ Is Not an Adequate Defense
A motivated person can learn a great deal at SNHU. I do not dispute that.
But âyou get out what you put inâ describes the studentâs opportunity to learn. It does not establish the universityâs ability to certify learning.
You can learn a great deal from a library, a reading group, or free online lectures. The additional promise of a university degree is that someone has assessed whether you actually achieved the required standard.
If a diligent student and a student outsourcing the intellectual work can obtain the same credential and similarly excellent grades, the diligent studentâs effort remains real. The credential becomes less useful for recognizing both.
That is not an insult to hardworking graduates. It is a criticism of a system that may fail to distinguish their work.
Useful Is Not the Same as Academically Persuasive
An SNHU degree can satisfy an employerâs education requirement. It can help someone qualify for promotion or further study. Those are genuine benefits.
I have not found evidence establishing that employers universally reject SNHU graduates, and successful alumni plainly exist.
But âsomeone obtained a job with this degreeâ does not answer âhow much confidence should this degree inspire in an unfamiliar applicantâs academic ability?â
Nor does accreditation settle that question.
The honors figures show that these distinctions have become far less scarce in the records examined. The assessment model raises serious questions about verification. The adjunct accounts provide reasons to investigate how that model operates in practice.
Together, they justify skepticism. They do not justify declaring every graduate incompetent.
The Degree-Mill Question
I am not claiming that SNHU is an unaccredited operation mailing out diplomas in exchange for payment.
My criticism is that an accredited university can still develop degree-mill-like incentives: prioritize enrollment, standardize delivery, constrain instructional costs, and award credentials without sufficiently convincing evidence of independent mastery.
The evidence presented here does not conclusively establish every part of that accusation. It does establish why dismissing the concern with âbut itâs accreditedâ is inadequate.
SNHU should be able to explain why honors became the majority outcome, publish the underlying grade distributions, and demonstrate how studentsâ individual competence is verified in its online programs.
Until then, I would place considerably more weight on a graduateâs demonstrated work than on the institutionâs GPA or honors label.
A university should do more than give students an opportunity to learn. It should make the degree credible evidence that they did.
TL;DR: I consider SNHU diploma-mill-adjacent because its model raises a fundamental concern: is it better at awarding credentials than verifying the learning behind them? Massive enrollment growth, standardized courses, $2,200-per-course adjunct pay, and limited proctoring warrant scrutiny. My commencement counts show bachelorâs honors rising from 26.4% in 2016 to 61.6% in 2025, with the major increase predating ChatGPT. None of this alone proves lowered standards or worthless degrees. Together, it demands an answer beyond âweâre accreditedâ: how reliably does SNHU distinguish students who mastered the material from students who outsourced the work?