What Private Universities Must Do to Leverage Workforce Pell

The One Big Beautiful Bill Act (still finding it hard to write that) created Workforce Pell, extending Pell Grant eligibility to short-term, workforce-aligned programs. Early attention has focused on community colleges, and that makes sense. But private universities with professional certificate, continuing education, and workforce training offerings have a significant opportunity here too. The catch is that they have to do the groundwork now if they've not already started to move where the higher education puck will be shortly. The window is narrow and the steps are concrete.

Most private universities are behind and will be playing catch up. Public institutions, particularly community colleges and regional universities, have long worked in this space, their continuing education divisions were built to serve working adults and career changers, and their data systems are often designed with longitudinal tracking in mind. Private universities have traditionally built their identity and infrastructure around degree programs, residential learners, and academic prestige. Short-term, non-credit workforce training has rarely been a strategic priority. That means the program design, employer partnerships, data infrastructure, and state-agency relationships that Workforce Pell requires are less likely to already exist and will often need to be built from scratch, on a compressed timeline.

The first concrete priority is program design and data readiness. Institutions need to audit their short-term offerings for duration, stackability, and labor market alignment. A key hurdle for many privates is that programs must have been in operation for at least one year, culminate in a stackable and portable credential, and align with high-skill, high-wage occupations as determined by the state. Data systems need to capture program length, completion rates, credentials awarded, placement rates, and post-completion earnings. And most challenging, institutions must also demonstrate at least 70% completion and job placement rates to be eligible. For private universities without existing workforce-facing programs, that audit will be a wake-up call. Few or none of their current offerings will qualify, and meaningful participation in Workforce Pell will require building new programs rather than certifying existing ones.

The second priority is operations. Internally, financial aid offices, advising teams, and career support staff need to be ready for a new kind of learner: low-income adults, career changers, and upskillers, including people who already hold a bachelor's degree. These are populations many private universities have little experience serving at scale. Institutions that treat Workforce Pell as a compliance exercise will fall short. Those that treat it as a genuine strategic expansion of mission, and invest accordingly, will be ready when the grants start flowing.

We Must Adapt to Serve Hyper-Market Workforce Demand

Universities face a choice when industries scale at speed: adapt rapidly or become irrelevant. The CHIPS and Science Act of 2022, which directed more than $50 billion toward domestic semiconductor manufacturing, created a significant opportunity for US workers. The Semiconductor Industry Association projects that when the Act is fully realized, U.S. semiconductor employment will grow to 460,000 by 2030, with 67,000 positions at risk of going unfilled. However, with nearly 40% of those positions being technician-level roles that require alternative credentials, universities must reimagine education, training, and workforce preparedness for learners who will require more than a bachelor’s degree to secure sustainable employment. Universities that wait for the curriculum committee cycle, the accreditation review, and the academic calendar to align will arrive too late.

The slow and structurally disconnected conventional university response to workforce demand includes degree programs designed around disciplinary traditions rather than employer needs, non-credit continuing education treated as a revenue afterthought rather than a strategic pipeline, and pre-college engagement left to high school guidance counselors. Credit and non-credit divisions rarely communicate. Industry partners are consulted after curriculum is designed. And the career changers, veterans, and working adult learners ideally suited to fill high-demand positions are largely unreachable by residential programs that assume full-time availability and prior academic preparation. 

In 2022, Micron Technology committed to invest $100 billion in Central New York over two decades, generating an estimated 50,000 regional jobs. Micron’s commitment created an immediate challenge and opportunity for Syracuse University. The University’s College of Professional Studies (CPS) responded with a deliberate strategy to create a layered ecosystem of non-credit certificates and stackable microcredentials built around the learners the university’s traditional pipelines consistently miss, co-designed with industry from the start.

Ecosystem Design

In 2024, CPS partnered with the Institute for Veterans and Military Families (IVMF) at Syracuse University to design and deploy a free fully online non-credit certificate in Foundations of Semiconductor Manufacturing for currently serving members of the military and veterans interested in careers in the semiconductor industry. Made possible by a three-year investment from Micron Technology, the program was built through direct industry input to target learner profiles and validate curriculum alignment against microchip fabrication facility roles. The certificate is designed as a non-technical deep-dive and does not require prior engineering coursework or advanced mathematics, moving learners from industry context and semiconductor physics through transistor fundamentals and chip fabrication basics.

Also in 2024, the Syracuse University Summer College program launched a six-week long Electrical Engineering II: Semiconductor Devices credit-bearing course that presents semiconductor fundamentals to high school students before they choose a college major. The program is supported by an investment from National Grid, whose infrastructure buildout across the region depends on a generation of engineers and technicians who understand energy systems and the advanced manufacturing facilities they power. Working through hands-on labs and high-context simulations, students earn transferable college credit and, more critically, a concrete introduction to a rapidly expanding industry. 

In fall 2025, CPS launched a market-sensitive credit-bearing Digital Process Automation Certificate, designed in direct partnership with Siemens AG to directly address the ~400,000 open positions in automated manufacturing and data-intensive systems, ~2,000 of which are in Central New York (a number that is estimated to increase to 12,000 by 2030). The partnership inverted the typical university design process by permitting Siemens engineers and CPS workforce strategists to work alongside faculty to map competencies to job tasks, identifying the specific automation platforms learners must know, and ensuring the credential would be recognizable and valued by industrial employers across the sector. The online, 15-credit undergraduate certificate stacks directly into an online bachelor’s degree in AI in Business Process Automation, permitting learners to accumulate credit toward a full degree while building immediately applicable skills.

How the Ecosystem Works

The three programs share an architecture built on four principles that stand in deliberate contrast to the traditional university model. First, multiple entry points allow learners to begin wherever their background, time, and resources allow rather than requiring a single admissions gate. Second, non-credit is positioned as a legitimate on-ramp and not a lesser alternative, conferring in-demand credential value and preparing learners for credit pathways if they choose to continue. Third, stackability ensures credits accumulate toward recognized degrees, offering learners an economic incentive to persist. And fourth, industry input at all levels means credentials reflect what employers need. The result is an ecosystem with no dead ends. A veteran completes the Foundations certificate and moves into the automation certificate. A high school student takes a Summer College course and arrives at university oriented towards semiconductor engineering. A working adult earns a certificate that counts toward a degree on their schedule, from anywhere.

Early Data 

Early signals are strong across all three programs. More than 500 learners have completed the IVMF Foundations certificate and are moving into credit-bearing programs, apprenticeships, or direct hiring at Micron and across the sector; more than 350 Summer College students have completed the semiconductor course over two summers and are arriving at university with meaningful exposure to the field, making informed decisions toward electrical engineering, materials science, and related disciplines; and early enrollment in the Digital Process Automation Certificate is outpacing projections. Longitudinal tracking across all three programs is focused on four critical metrics: 1) credential stacking rates, 2) employment outcomes including roles, salaries, and employers, 3) employer satisfaction and time-to-hire data, and 4) equity outcomes to ensure underrepresented groups participate and advance at rates commensurate with program intent. Meaningful data across all four dimensions is expected through 2026.

The Broader Lesson

Like all workforce shortages facing the US, the semiconductor workforce challenge cannot be solved by any single program or institution, and it certainly cannot be solved by universities operating on their traditional timelines. Syracuse University’s experience demonstrates that the combination of accessible entry points, rigorous curriculum, online delivery, and genuine industry co-design can reach learners that traditional pathways consistently leave behind. Several lessons from this work are transferable to universities in regions facing hyper-market workforce gaps. Industry partnership must be built before it is needed: the Micron, National Grid, and Siemens relationships that made the Syracuse ecosystem possible required prior institutional credibility and a willingness to share curriculum authority. Non-credit programs demand the same design rigor as credit programs where curriculum quality, industry input, and outcome specification are not optional. Credit and non-credit divisions must work as a single system, not parallel bureaucracies. And online delivery is a structural prerequisite for reaching transitioning service members, full-time workers, and rural learners who cannot reorganize their lives around a campus schedule.

By 2030, the US will need a semiconductor and advanced manufacturing workforce far larger than today’s. The universities best positioned to build it are those willing to move at industry speed, share design authority with employers, and dismantle the internal disconnections that define the traditional university response.

The Reductive Fallacy of Online Enrollment Planning

There’s a particular form of institutional ambition that presents a bold vision in board meetings and lofty strategic plans, then magnificently collapses under the weight of its own bad arithmetic. Nowhere is this spurious ambition more evident than in the tendency of private universities to announce lofty online enrollment targets of neatly rounded figures with lots of zeros and “aggressive but realistic" five-year horizons. The pronouncements get shared with deans and decisions makers as the press releases get issued without questioning the structural realities that will determine whether the dollar-shaped enrollment numbers are achievable.

The rhetorical machinery at work here draws on two logical failures. The first is the reductive fallacy, in which a complex and multi-variable outcome (the enrollment target) is presented as though it depends on a single, manageable input. The second is the unqualified claim, in which the reductive fallacy is stated (and restated) in such a way as to sound like fact while omitting the many conditions necessary for the statement to be true. When a university announces then continually restates that, "We will enroll 10,000 online students within five years," it is almost always committing both errors simultaneously by reducing a deeply complicated operational challenge to a marketing declaration and leaving unstated the conditions that would actually make it possible.

Consider the example in plain terms. A university sets a target of 10,000 online students annually, consisting of approximately 3,000 undergraduates and 7,000 graduate students. When stated simply and read objectively, this sounds like an enrollment goal. In practice, it’s a retention challenge masquerading as a recruitment problem.

Online students, particularly at non-elite, tuition-dependent private institutions, are overwhelmingly non-traditional learners. They are working adults, caregivers, career-changers, veterans, and first-generation college students completing degrees part-time around the competing demands of full lives. They don’t move through degree programs in linear, semester-by-semester progression. They stop in and stop out at amazingly unpredictable frequency. What this means operationally is that the number of online students enrolled in a given semester is not the same as the number of students who are “active” at any given time in a degree program. To produce 3,000 undergraduate enrollments in a year, a university needs to retain approximately 6,000 active students. The share of active students who actually register in any given term (the underlying yield rate) runs at approximately 50% for online undergraduates who are perpetually present but intermittently enrolling.

The graduate enrollment arithmetic is similar, but with a smaller delta. To generate 7,000 graduate enrollments annually, a university needs to maintain 9,000 active students, as graduate online students tend to stop out less frequently than online undergraduate students. Adding the graduate and undergraduate counts together, the private university that announces a goal of 10,000 online enrollments annually is actually committing to maintaining a sustained active student population of approximately 15,000 learners in various stages of their programs.

The result of the flawed math means that most online enrollment growth plans are acquisition strategies with a retention assumption buried quietly inside them. The claim is "we will enroll 10,000 students." The unstated condition is "provided we can keep enough of our students continuously active at a yield rate we have not yet measured, planned for, or funded." Strip away the five-year timeline and the glossy strategic plan, and what remains is, "We will enroll 10,000 students assuming conditions we have not named and do not fully understand or addressed."

For a university genuinely committed to online growth, the honest version of a 10,000-student enrollment target is a multi-year retention project that must begin with understanding the actual stop-out and re-enrollment patterns in the existing online student body. A program that enrolls 2,000 new online students a year and retains 80% of its active base is generating durable, compounding growth. A program that enrolls 2,000 new students and loses 60% of its active population to attrition is running in place while burning recruitment budget.

Individuals charged with growing online programs announcing they will realize 10,000 enrollments in five years are not inherently dishonest. Their fervor, while reflective of institutional ambition, is almost always naively dilettantish. Uninformed by the structural realities of non-traditional learner behavior, these individuals find themselves picking through wilted word salads for something that looks like strategy.  

The reductive fallacy tells us that enrollment growth is a function of marketing. The unqualified claim tells us that the number will happen, full stop, without naming the yield rates, retention infrastructure, and active-student populations required to produce it. Universities that want to build durable online programs need to say something smarter and more specific: "We will enroll 10,000 students annually by maintaining 15,000 active learners, achieving term-to-term yield rates of 50% for undergraduates and 20% for graduate students, and investing in the retention infrastructure necessary to make those numbers real."

Higher Education Still Isn't Showing Up for Active Duty Service Members

It's Memorial Day, so it's perhaps appropriate that my inaugural post should address one of the most significant challenges faced by military service members trying to access higher education.

In the late 1980s and early 1990s, I earned three degrees part-time while on active duty, navigating the same scheduling constraints, institutional indifference, and administrative obstacles I've spent the past twenty-six years in higher education trying to dismantle.

We haven't dismantled much.

Over a million active duty service members are currently not using their education benefits. In a force of 1.3 million, only 15–20% access Tuition Assistance annually. We can blame the military's  unpredictable schedules, time constraints, and administrative complexity. Those are real. But the deeper barrier, the one beyond any service member's control, is the failure of colleges and universities to meaningfully recognize what military personnel already know.

Until we're honest about how broken the credit recognition system is, no amount of "military-friendly" marketing will improve access for those who serve.

I've watched Navy cybersecurity specialists with years of experience defending classified networks against live intrusion attempts get told they need to complete Introduction to Computer Security. I've seen senior enlisted electronics technicians with advanced technical training receive a handful of elective credits that apply toward nothing in their degree plans. Intelligence analysts whose expertise exceeded most civilian program graduates walked away with meaningless credit for their training and professional military education.

Private universities bear particular responsibility. Their economic model depends on tuition revenue, and every credit awarded for military training is tuition not collected. At $1,850 per credit hour, recognizing thirty credits of military training represents $55,500 in foregone revenue. The institutional response is predictable: restrictive transfer policies, hard caps on transfer credits, and requirements that military training align precisely with proprietary curricula regardless of demonstrated mastery.

The structural problem runs deeper still. Higher education was designed to move eighteen-year-olds linearly through four-year programs. The military's training philosophy runs directly counter to that model. Military personnel receive intensive, competency-based technical education and then apply it immediately in operational environments under real conditions. They arrive at our institutions carrying advanced expertise in specific domains, looking for credentials that validate and extend what they already know — and we send them back to the beginning.

What a Better Model Looks Like

It is possible to remove the credit equivalency barriers without dismantling the entire enterprise. The solution starts with abandoning the fiction that traditional degree structures are accessible to military learners.

Digital badges as the foundation. A digital badge can translate eighteen months of Navy nuclear training into specific competencies articulated in language employers recognize. Badges carry metadata about what was learned and how it was assessed. Service members can display them on LinkedIn, Handshake, and USAJobs without asking employers to decode academic transcripts. In the model I'm advocating for, institutions award badges based on completed military training without requiring enrollment in a degree program — and when a service member later chooses to pursue a degree, those badges stack toward certificates and degrees, filling genuine gaps rather than forcing repetition.

Competency-based assessment instead of seat time. A service member with years of cybersecurity experience should not sit through sixteen weeks of lectures on network security. They should demonstrate competency through assessment, receive recognition for what they know, and move directly to advanced content. I've piloted this approach; the results were predictable: service members advanced faster, engaged more deeply, and persisted at higher rates. The model works.

Modular pathways instead of semester-long commitments. The traditional academic calendar is built on a 400-year-old agrarian schedule. It has no inherent educational logic, and it is nearly incompatible with enlisted military life. Four-week modules that service members complete when their schedules allow, earning credentials that accumulate over time, are not difficult to design or implement.

Stackable credentials with standalone value. A logistics certificate that recognizes military training plus three targeted additional courses should carry immediate employment value and count as progress toward a bachelor's degree. Designing for that reality is a recognition that standards of access matter as much as standards of achievement.

The 15–20% TA utilization rate is not a mystery. It is a measurement of how well the structures we have built actually support the people we claim to serve. A million active duty service members are in the workforce right now, carrying expertise earned under conditions most of our faculty will never experience, and waiting to see whether higher education will meet them where they are.

We have the tools. We have the knowledge. What we need is the institutional will to use them.