Using Activity-Based Costing To Improve Higher Education Decisions
Universities manage a wide range of activities with very different cost profiles. A large introductory course, a specialized research laboratory, an online program, and a student advising center may all draw on the same institution-wide resources, yet they consume staff time, space, technology, and administrative support in very different proportions. Traditional accounting can record the total expense, but it may not show what drives that expense.
Activity-based costing gives higher education leaders a more detailed view. Instead of assigning indirect costs mainly through broad formulas such as enrollment or departmental payroll, the method traces spending to activities and then connects those activities to programs, services, departments, and student populations. The result is a clearer basis for budgeting, resource allocation, program review, and strategic planning.
For chief financial officers, provosts, facilities leaders, institutional researchers, and other senior business officers, the value lies in turning financial data into operational insight. A well-designed cost model does not replace judgment or mission-based decision-making. It helps leaders understand the financial consequences of their choices while preserving the educational and public-service goals of the institution.
Why Traditional Allocation Can Mislead
Many colleges and universities distribute overhead using a small number of allocation bases. General administration may be assigned according to full-time equivalent employees, facilities costs by square footage, and information technology expenses by headcount. These methods are simple and easy to maintain, but simplicity can conceal important differences in resource consumption.
Consider two academic programs with similar enrollment. One may require standard classrooms, routine advising, and limited technical support. The other may use laboratories, clinical placements, specialized equipment, accreditation services, and intensive student supervision. Applying the same indirect cost rate to both programs can make the first appear less efficient or the second appear more profitable than it really is.
Activity-based costing addresses this distortion by asking what work produces a cost and which organizational outputs consume that work. The method is especially helpful when institutions are comparing delivery formats, evaluating low-enrollment programs, expanding shared services, or considering investments in facilities and technology.
Building A Cost Model Around Activities
The first step is to identify significant activities rather than beginning with accounting categories alone. Examples include course scheduling, admissions processing, financial aid administration, laboratory supervision, research compliance, building maintenance, procurement, advising, technology support, and student recruitment. Activities should be specific enough to explain resource use but broad enough to manage without excessive data collection.
Next, the institution identifies cost pools and cost drivers. A cost pool groups expenses associated with a common activity, while a cost driver measures the demand placed on that activity. The number of purchase orders may drive procurement costs; occupied laboratory hours may drive laboratory support; service tickets may drive information technology expenses; and maintained square footage may drive facilities operations.
The basic calculation is straightforward:
Activity rate = Total activity cost Ă· Total driver volume
A program’s assigned cost is then estimated by multiplying the activity rate by the amount of the driver it consumes. For example, if academic technology support costs $900,000 and the institution records 30,000 service hours, the rate is $30 per service hour. A program using 1,200 hours would receive $36,000 of that cost.
The calculation is simple, but the model requires careful definitions. Leaders should distinguish between costs that vary with activity, costs that remain fixed in the short term, and costs that are committed because of long-term contracts or facilities. Treating every expense as variable can create unrealistic savings estimates.
Connecting Cost Information To Strategy
A useful model connects financial data with decisions that administrators already make. Program contribution analysis can show how tuition revenue, state support, grants, and other income compare with direct and indirect resource requirements. This does not mean that every program must generate a surplus. Programs may advance access, workforce development, research, public service, or institutional identity. The model simply makes the trade-offs visible.
Activity-based costing can also support curriculum planning. If a department is considering several course sections, the model can estimate the effect of faculty workload, classroom demand, instructional technology, and advising requirements. If an institution is expanding an online program, it can account for course development, learning management system support, instructional design, accessibility services, and digital student services rather than assuming that online delivery has minimal overhead.
Facilities and capital planning benefit from the same perspective. A building may have modest occupancy but high operating requirements, or it may be heavily used during only part of the year. Assigning costs through actual utilization can inform renovation priorities, space consolidation, scheduling changes, and decisions about new construction. Such analysis is particularly valuable when multi-campus consolidation requires leaders to compare services and facilities across institutions with different operating structures.
| Decision Area | Conventional Allocation | Activity-Based View | Useful Driver Examples |
|---|---|---|---|
| Academic programs | Broad overhead rate | Resource use by program and delivery model | Sections, contact hours, lab hours |
| Student services | Cost per student | Cost by service intensity and student need | Advising appointments, cases, applications |
| Facilities | Cost by square footage | Cost by occupancy and building demand | Occupied hours, maintained area, utility load |
| Technology | Cost by headcount | Cost by system use and support demand | Users, transactions, service tickets |
| Research administration | Cost by total research volume | Cost by compliance and project complexity | Awards, protocols, reports, grant transactions |
Managing Data And Governance
An activity-based model depends on reliable operational information. Financial systems provide expense data, but they rarely contain every driver required for cost assignment. Institutions may need information from course scheduling, human resources, facilities management, research administration, student systems, procurement, and technology service platforms.
Data governance should therefore be established before the model becomes part of the budget process. Each major activity needs an owner who can define the driver, explain its limitations, and review changes over time. Finance teams can coordinate the model, but departments must validate whether the calculations reflect actual work. A driver that is theoretically elegant but poorly recorded will produce less value than a practical measure with consistent data.
The model should also have a defined level of precision. Tracking every staff minute or allocating every central expense can create a costly administrative burden. Many institutions gain sufficient insight by focusing on material activities that vary meaningfully among programs or campuses. Periodic sampling, time studies, workload estimates, and service-volume data can provide reasonable inputs without requiring continuous monitoring.
Governance matters because cost models can influence funding, staffing, and program reputation. Assumptions should be documented, allocation rules should be transparent, and results should be reviewed with academic and administrative leaders before they are used in high-stakes decisions. A shared understanding reduces resistance and prevents the model from being treated as an automatic verdict.
Avoiding Common Implementation Problems
One frequent mistake is beginning with software instead of management questions. Technology can automate calculations and reporting, but it cannot determine which activities matter or whether a cost driver reflects real resource consumption. Leaders should first define the decisions the model will support, then select data sources and tools that are proportionate to those needs.
Another problem is confusing assigned cost with avoidable cost. If a program closes, some expenses may disappear, while others remain because employees, buildings, debt obligations, or enterprise systems cannot be reduced immediately. Reports should distinguish direct costs, allocated costs, incremental costs, and long-term fully loaded costs. This distinction prevents managers from interpreting every assigned expense as an immediate savings opportunity.
Institutions should also avoid presenting results as a ranking of academic worth. A high-cost program may be essential to a regional workforce, support a flagship research mission, or provide opportunities for underserved students. Conversely, a low-cost activity may still have weak outcomes or limited strategic value. Cost analysis is strongest when paired with enrollment trends, student success, quality indicators, research impact, community benefit, and risk assessment.
Finally, models can become obsolete when programs change. New delivery formats, collective bargaining agreements, technology platforms, regulatory requirements, and facility projects alter cost behavior. An annual review of major activities and drivers keeps the model relevant without requiring a complete redesign every budget cycle.
Making The Analysis Useful To Leaders
Results should be presented in formats that match the decisions of different audiences. A cabinet may need a concise view of program contribution, shared service demand, and scenario impacts. A dean may need detail about faculty workload, space use, course sections, and student services. A facilities leader may need building-level utilization and maintenance cost information. One universal report rarely serves all of these purposes.
Scenario analysis is often more valuable than a static allocation report. Leaders can compare the financial and operational effects of adding a course section, changing class size, shifting a program online, centralizing a service, extending building hours, or adopting a new technology platform. Each scenario should identify assumptions and show which costs change immediately, over the medium term, or only after a major structural decision.
Clear communication is essential. Administrators should explain that the model estimates resource consumption; it does not claim to measure educational value. Reports should use plain language, show the main drivers behind each result, and provide access to supporting calculations. When people can see how a number was produced, they are more likely to use it constructively.
Practical Steps For A Credible Model
- Start with two or three decisions where better cost information would have immediate value.
- Select a limited set of material activities and document each cost driver clearly.
- Test proposed allocations with academic, finance, facilities, technology, and student-service leaders.
- Separate fully allocated cost from incremental cost in every scenario report.
- Review drivers annually and retire measures that no longer reflect actual resource use.
Turning Insight Into Action
A university can begin with a focused pilot involving a program cluster, shared service, campus facility, or delivery format. The pilot should establish a baseline, test the quality of available data, and produce a decision-oriented report rather than a highly detailed accounting exercise. Early results can reveal which drivers are reliable and where additional operational data is needed.
As the model matures, it can become part of annual planning, budget hearings, program review, capital prioritization, and service-level discussions. Senior business officers can use the same framework to improve collaboration among finance, academic affairs, facilities, institutional research, and information technology. That shared language is often as valuable as the allocation results themselves.
Activity-based costing is most effective when it supports disciplined conversation about mission, capacity, and trade-offs. TASSCUBO members can strengthen that work by exchanging tested practices, comparing implementation experiences, and developing models that reflect the realities of Texas public higher education. Begin with a manageable decision, build trust around the data, and use the resulting insight to guide resources toward the institution’s highest priorities.