Aligning Academic Program Reviews With Regional Skills Demand
A college program can look successful on paper and still be drifting away from the economy around it.
Enrollment might be stable. Graduation rates may look fine. Faculty could be delivering a strong curriculum.
Yet regional employers may be struggling to find workers with different technical abilities, new digital skills, or combinations of competencies that the program was never designed to teach.
That is why aligning academic program reviews with regional skills demand is becoming a bigger priority for public colleges, community colleges, and regional universities.
The goal is not to let employers dictate what colleges teach. Higher education has broader responsibilities than filling immediate vacancies. Students need intellectual depth, transferable skills, and the ability to adapt throughout their careers.
But ignoring labor-market change is not a realistic option either.
A better approach is to make workforce evidence one part of a broader program-review process.
When colleges combine regional employment data, student outcomes, employer feedback, academic quality, and long-term economic trends, they can make smarter decisions about which programs to expand, redesign, combine, or reconsider.
Why Traditional Academic Program Reviews Need a Regional Lens
Academic program review has traditionally focused on questions such as enrollment, graduation rates, faculty resources, curriculum quality, assessment results, and financial sustainability.
Those measures still matter.
The problem is that they can tell a college whether a program is functioning internally without showing whether it still connects well to opportunities outside the institution.
A program could have healthy enrollment while preparing far more graduates than the local economy can absorb. Another program might have relatively small enrollment but serve an occupation facing a serious regional talent shortage.
This is where labor-market alignment adds important context.
Higher Learning Commission guidance notes that program-review processes commonly consider information including enrollment, retention, completion, program costs, occupational demand, student learning, alumni feedback, mission alignment, and external review.
In other words, workforce demand can sit alongside academic quality rather than replacing it.
The need for this broader perspective is becoming stronger because workforce requirements are moving quickly.
The World Economic Forum reports that employers expect 39% of workers’ core skills to change by 2030. Technology skills such as AI, big data, and cybersecurity are growing quickly, while analytical thinking, creativity, leadership, resilience, and adaptability remain important.
For colleges, that means a program review conducted every five or seven years cannot simply ask whether the curriculum still resembles what it looked like during the previous review.
It also needs to ask whether the world around the program has changed.
Understand What “Regional Skills Demand” Actually Means
One common mistake is treating regional demand as a simple list of occupations with the highest growth rates.
That is too narrow.
A fast-growing occupation may start from a very small employment base, which means the percentage looks impressive while the actual number of job openings remains limited.
For example, national projections can show extremely rapid growth in certain renewable-energy occupations while those occupations still represent relatively modest numbers of new jobs.
Meanwhile, slower-growing occupations such as nursing, management, software development, or healthcare support may create far more total openings.
Colleges therefore need to look beyond growth percentages.
Demand is a combination of several signals
A useful regional workforce analysis considers projected employment growth, replacement openings, wages, job-posting activity, employer concentration, retirement trends, educational requirements, and whether graduates typically find work in the occupation.
Geography also matters.
A cybersecurity program located near a large financial-services cluster may face a different market than the same program serving a rural region dominated by healthcare, manufacturing, and public agencies.
The Georgetown University Center on Education and the Workforce demonstrated just how different local markets can be.
Its analysis of 565 U.S. labor markets found that in half of them, at least 50% of middle-skills credentials would need to be awarded in different fields to closely match projected labor demand.
That does not mean colleges should immediately eliminate half their programs.
It does show why national averages are not enough.
Program review needs to understand the specific economic environment students are likely to enter.
Build a Better Labor-Market Data Stack
No single dataset can tell a college what to do.
Strong academic program review depends on combining several kinds of evidence.
National projections are useful for understanding broad structural trends. The U.S. Bureau of Labor Statistics, for example, provides detailed projections by occupation and industry, helping colleges see where long-term demand may be growing.
Current BLS projections continue to show strong growth in areas including healthcare, data science, information technology, renewable energy, and related professional occupations.
But national projections should only be the starting point.
Add state and regional labor-market information
State workforce agencies usually provide more localized employment projections. Colleges can compare those estimates with job-posting data, employer surveys, economic-development plans, and regional industry clusters.
IPEDS can add another useful layer.
The National Center for Education Statistics collects completion data by field of study through Classification of Instructional Programs, or CIP, codes. That makes it possible to examine how many credentials institutions are producing in particular fields.
A college can then ask a basic but powerful question:
Are regional institutions producing roughly the right number and type of graduates for the opportunities expected in the area?
The answer will rarely be perfectly precise.
Students move between regions. Occupations accept graduates from multiple majors. Some degree programs prepare people for dozens of careers rather than one specific job.
That is why workforce data should be treated as evidence, not as an automatic formula.
A good review team looks for patterns across multiple sources instead of making a decision because one dashboard suddenly shows a red number.
Translate Labor-Market Signals Into Curriculum Decisions
Collecting data is not the difficult part anymore.
The harder question is what colleges should do with it.
Suppose regional employers are increasing their demand for data analytics. A traditional response might be to launch an entirely new data science degree.
That may be appropriate.
But it may not be the best solution.
The demand could potentially be addressed by adding analytics concentrations to business programs, integrating data tools into healthcare administration, creating a short certificate, or updating mathematics and information technology courses.
Program review should therefore separate the skill gap from the program solution.
Sometimes a curriculum update is enough
Imagine a manufacturing technology program with solid employment outcomes but employers repeatedly say graduates need stronger experience with automation, sensors, and industrial data systems.
The college may not need a new degree.
It may simply need to update laboratories, revise several courses, build an automation module, and create a stronger employer-sponsored capstone.
Another program may require a larger redesign.
If a business information systems degree is losing enrollment, graduates are struggling to find relevant work, and the regional economy is rapidly shifting toward cloud systems, cybersecurity, and AI-enabled operations, a deeper curriculm review may be necessary.
Colleges can consider several responses: expand the program, modify competencies, create a specialization, combine overlapping programs, redesign delivery, or phase out a pathway whose value has genuinely weakened.
The key is avoiding the assumption that every labor-market shift requires a brand-new credential.
New programs are expensive.
Updating existing ones is often faster and more sustainable.
Use Employers as Validators, Not as the Only Decision-Makers
Employer advisory boards are common in workforce-focused programs.
Unfortunately, they do not always produce useful information.
A college may gather ten employers in a room once per year, ask whether the curriculum looks good, receive several polite comments, and call the process industry engagement.
That is not enough.
Employers are most useful when they help interpret data and explain how jobs are actually changing.
Instead of asking an employeer, “What courses should we add?” faculty might ask, “Which tasks are new employees struggling to perform?” or “Which skills separate an average employee from someone who advances quickly?”
Those questions tend to produce better insights.
An employer may initially say it needs graduates who know a specific software package. Deeper discussion might reveal that the real need is process automation, data interpretation, troubleshooting, or communication across technical and nontechnical teams.
Those are much more durable curriculum signals.
At the same time, colleges should resist overreacting to one company’s immediate hiring problem.
A large regional employer might need 150 workers today and only 20 three years from now.
The academic institution has to think longer term.
A good program-review process therefore triangulates employer feedback with regional projections, actual job openings, graduate outcomes, and broader economic trends.
Employers help validate the story.
They should not be the entire story.
Connect Program Review to Graduate Outcomes
Regional demand tells colleges where opportunities may exist.
Graduate outcomes show whether students are actually reaching them.
Those are different questions.
A program might serve a high-demand field but still produce weak outcomes because students do not complete, the curriculum does not match employer expectations, or graduates lack access to professional networks.
Program reviews should therefore examine what happens after graduation.
Useful indicators can include employment, earnings, occupational alignment, transfer, bachelor’s degree completion, licensure pass rates, internships, and whether graduates stay in the region.
The Georgetown CEW has highlighted significant shortages of middle-skills credentials aligned with high-paying occupations.
Its 2025 research estimated an annual national shortage of nearly 712,000 certificates and associate degrees connected to high-paying middle-skills occupations through 2032.
That kind of analysis helps identify opportunity.
But colleges still need local evidence showing whether their own students can access it.
Program value should include more than salary
Graduate earnings are useful, but they should not become the only measure of success.
Some socially essential occupations—such as education or community services—may pay less than technology or finance while delivering substantial public value.
Other programs primarily exist to prepare students for transfer or graduate education.
A good assesment therefore starts by defining the purpose of the program.
If a nursing pathway is designed for direct workforce entry, licensure, employment, and earnings are highly relevant.
If an associate degree is primarily designed for transfer, successful credit transfer and bachelor’s degree completion may matter more.
The question is not simply, “Does this program produce high salaries?”
It is, “Does this program deliver the outcomes it promises students?”
Look for Regional Gaps, Not Just Individual Program Performance
Program review often happens one department at a time.
Regional workforce alignment requires a wider view.
Imagine three colleges in the same metropolitan area all expanding similar cybersecurity certificates because job postings look strong.
Individually, each decision may seem reasonable.
Collectively, the region could end up producing far more graduates than employers need.
At the same time, another shortage – perhaps in industrial maintenance or allied health – could remain largely ignored.
This is why institutions benefit from looking beyond their own campus.
Georgetown’s research on local credential alignment found that areas with more middle-skills education providers tend to experience lower misalignment, partly because different providers can respond to complementary workforce needs.
Coordination makes that advantage stronger.
Public colleges can share labor-market information with workforce boards, school districts, universities, economic-development agencies, and neighboring institutions.
The purpose is not to eliminate competition.
It is to understand the regional education ecosystem.
A college may discover that launching another full degree would duplicate existing capacity, while creating an advanced certificate or transfer partnership would fill a genuine gap.
Regional alignment works best when institutions ask what the economy needs collectively, not only which programs could attract more enrollment individually.
Turn Program Review Into a Continuous Process
A major program review every five years may still be useful.
It just cannot be the only moment when colleges look at workforce demand.
Labor markets can move much faster.
AI adoption, economic shocks, new manufacturing investments, hospital expansions, business closures, policy changes, and demographic shifts can all alter regional skill requirements before the next formal review arrives.
Colleges need a lighter annual monitoring process.
That does not mean redesigning programs every year.
It means watching the right indicators.
Enrollment, completion, regional job openings, wages, employer feedback, transfer outcomes, and graduate performance can be reviewed annually for major changes.
Programs showing unusual patterns can receive deeper attention.
The Community College Research Center provides a useful example of what data-informed redesign can accomplish.
Its 2026 Unlocking Opportunity report found that 10 participating colleges collectively moved more than 20,000 additional students into higher-value workforce and transfer pathways between 2022 and 2025 through program redesign, advising improvements, stronger transfer structures, employer alignment, and institutional use of data.
That is an important lesson.
Program review becomes much more useful when it leads to action.
A report that sits in an administrative archive for five years has limited value.
A review process that helps departments test changes, track outcomes, and adjust again can genuinely strenghten academic programs.
Avoid Chasing Every Workforce Trend
There is one final danger worth emphasizing.
Labor-market alignment can become short-sighted if colleges react too quickly.
Every few years, a new technology or occupation attracts enormous attention. Institutions rush to create programs, certificates, and course titles around it.
Some succeed.
Others discover that employer demand was narrower than expected, technology changed again, or students were trained for a tool rather than a durable capability.
Colleges need to distinguish between temporary hiring signals and structural shifts.
Artificial intelligence is a good example.
The World Economic Forum identifies AI and big data among the fastest-growing skill areas, but its research also emphasizes analytical thinking, creativity, resilience, leadership, and lifelong learning.
That suggests colleges should not simply teach today’s AI platforms.
They should help students understand data, evaluate AI outputs, work ethically with automated systems, communicate insights, and learn new tools as technologies evolve.
The same principle applies across industries.
Academic programs should be responsive without becoming reactive.
Regional demand tells colleges where change may be necessary.
Academic judgment determines how that change should be translated into education.
Aligning academic program reviews with regional skills demand is not about turning colleges into training departments for local businesses.
It is about giving institutions better evidence.
When colleges combine labor-market intelligence, graduate outcomes, employer insight, academic assessment, and regional economic trends, program-review decisions become much more useful.
Leaders can identify where programs need modest updates, where new pathways make sense, and where existing offerings may no longer deliver enough value.
The strongest approach is continuous rather than reactive.
Start by selecting a few programs, comparing their outcomes with regional employment patterns, talking with employers and graduates, and identifying the clearest gaps.
The next program review should not only ask whether a degree is working today. It should ask whether students are being prepared for where their region is going next.