2027 Online Artificial Intelligence Master's Programs With University Scholarships: Awards, Eligibility & Tuition After Aid
Co-Founder and Chief Data Scientist
An online artificial intelligence master's can carry substantial tuition costs, and university scholarships are often limited, competitive, and governed by different rules than federal aid. College Board reported average 2024-25 graduate tuition and fees of $11,610 at public institutions and $21,730 at private nonprofit institutions. This guide is for prospective AI graduate students who need to compare awards, eligibility, net cost, and alternative funding. It explains how to identify scholarship-friendly programs, prepare stronger applications, and avoid funding gaps before enrolling.
Key Things to Know About Artificial Intelligence Master's Programs with Scholarships
- Online AI students may qualify for federal aid and some university scholarships, but awards can exclude part-time, nondegree, certificate, or fully online enrollment; confirm eligibility in writing before committing.
- For context, College Board places average 2024-25 graduate tuition and fees at $11,610 at public institutions and $21,730 at private nonprofit institutions, while specialized online AI programs can price well above or below those benchmarks.
- Prioritize renewable institutional awards, employer tuition assistance, and grants before borrowing; a scholarship's renewal GPA, enrollment requirement, and treatment of outside awards can matter more than its first-year amount.
What online Artificial Intelligence master's programs offer university scholarships?
Few universities publish scholarships reserved exclusively for an online artificial intelligence master's. More commonly, an AI student applies for graduate-school, college-of-engineering, alumni, diversity, employer-partnership, or general institutional awards. Availability can change by term, delivery format, residency, and enrollment level, so a program should not be treated as scholarship-eligible simply because its university offers graduate scholarships.
The comparison below identifies practical program categories to investigate. It is designed to help applicants ask the right question: whether a scholarship is available to their exact online AI degree and enrollment format, rather than whether aid exists somewhere at the institution.
| Program option to investigate | Common university funding route | What to confirm before applying |
| University of Texas at Austin online M.S. in Artificial Intelligence | University, external, employer, and federal financial-aid options may be relevant depending on student status | Whether institutional scholarships are open to online graduate students and whether the award can apply to the program's flat tuition structure |
| Online applied AI or computer science programs with an AI concentration | College-of-engineering merit awards, graduate fellowships, alumni awards, and departmental scholarships | Whether the concentration qualifies, whether part-time study is permitted, and whether an additional scholarship application is required |
| Private nonprofit universities offering online AI-related master's programs | Institutional grants, partnership discounts, military benefits, and need-aware awards | Whether a tuition discount is combinable with scholarships and whether the discount affects federal cost-of-attendance eligibility |
| Public universities with online graduate computing programs | State university foundations, departmental funds, research awards, and graduate assistantships | Whether distance learners may receive foundation awards or assistantships and whether residency affects tuition or aid |
Start with the program's tuition page, graduate financial-aid office, and engineering-school scholarship database. Ask for a written list of awards open to online master's students, the typical award cycle, and whether applicants are automatically considered. If speed is central to your plan, compare pacing and workload alongside funding rules; accelerated one year masters degree options can reduce living-cost exposure but may leave less time to meet renewal or assistantship requirements.
A school is usually a stronger funding choice when it provides a clear total-program price, explicitly confirms online-student eligibility, and explains whether awards renew. A school with a large advertised scholarship pool but no online eligibility details deserves a direct call before you pay an application fee.
What is the average tuition for Artificial Intelligence master's programs before aid?
Before aid, use the institution's full program tuition rather than a per-credit headline alone. AI master's programs may require 30 or more credits, charge technology or distance-learning fees, and use different pricing for in-state, out-of-state, and online students. College Board's 2024-25 averages of $11,610 at public institutions and $21,730 at private nonprofit institutions are useful graduate-level reference points, but they are not an AI-program price quote.
This table shows how to turn published tuition into a decision-ready estimate. The figures are examples of calculations, not typical scholarship guarantees.
| Cost item | How to calculate it | Why it matters |
| Base tuition | Required credits multiplied by the applicable per-credit rate, or the stated total-program price | It is the starting point for comparing programs with different credit counts |
| Mandatory academic fees | Add technology, student-service, course, graduation, and proctoring fees where applicable | Scholarships may not cover these charges |
| Scholarship and grant aid | Subtract only confirmed awards with documented terms | Estimated or one-time awards should not be assumed to renew |
| Employer support | Subtract reimbursement only after checking annual caps, grade requirements, and repayment clauses | Reimbursement may arrive after you have paid tuition |
| Remaining financed cost | Total educational charges minus confirmed nonrepayable aid and usable employer support | This is the amount to cover through savings, payment plans, work income, or loans |
Request a term-by-term cost sheet that separates tuition from fees and identifies charges that scholarships cannot pay. This is especially important if you are weighing AI against other quantitative graduate options; comparing the structure of online finance degrees can also help working professionals assess whether a shorter or differently priced program better fits an employer reimbursement cap.
Do not select a program on tuition alone. Compare total credits, required prerequisites, opportunity cost, expected time to completion, borrowing needs, and whether the curriculum supports the AI role you want to pursue.
What types of financial aid and scholarships are available for Artificial Intelligence master's programs?
Funding for an AI master's generally falls into two groups: gift aid, which does not normally need to be repaid, and financing, which usually does. Scholarship labels vary, so read the award agreement instead of assuming that a "fellowship," "grant," or "discount" has the same conditions across universities.
The options below can be combined in some cases, but each has different trade-offs for online students.
| Funding type | How it is usually awarded | Best fit and key limitation |
| Merit scholarship | Academic record, quantitative preparation, professional achievements, leadership, or admissions strength | Useful for applicants with a strong record; may require full-time enrollment or a minimum GPA to renew |
| Need-based institutional grant | Financial need information and institutional policy | Useful when household finances support demonstrated need; online graduate eligibility varies widely |
| Departmental scholarship or fellowship | AI, computer science, engineering, or data-science department review | Most relevant to the field; may favor research participation or campus-based activity |
| Graduate assistantship | Teaching, research, or administrative work | Can be valuable where offered; fully online students may have fewer eligible roles and positions are limited |
| Employer tuition assistance | Employer benefit policy, often tied to continued employment and acceptable grades | Often practical for working professionals; check annual limits and any repayment obligation after departure |
| Federal Direct Unsubsidized or Graduate PLUS loans | FAFSA and institutional financial-aid processing | Can fill a documented gap for eligible students; borrowing raises long-term repayment costs |
Employer support can be particularly attractive when it pays steadily by term and does not require you to stop working. University aid may be the better priority when it is renewable, portable across terms, and does not reduce other valuable benefits. Students comparing technical degrees with adjacent helping-profession pathways should recognize that funding and licensing rules differ substantially; marriage and family therapy programs, for example, may have distinct practicum and state-authorization cost considerations.
A common mistake is treating loans as scholarships in a net-cost comparison. Keep repayable funding in a separate column so you can see how much of the bill is truly reduced.
University scholarship coverage ranges from a modest one-time credit to an award that covers a large share of tuition. There is no reliable nationwide "typical" award amount for online AI master's students because universities publish awards differently, restrict eligibility differently, and may adjust budgets each cycle. Treat any amount as program-specific until it appears in your written financial-aid offer.
Use the award's structure, not its marketing label, to judge its real value.
| Award structure | Potential effect on net cost | Decision consideration |
| Fixed one-time scholarship | Reduces one term or one academic year | Helpful for lowering initial borrowing, but it may not reduce the total program cost much if it is not renewable |
| Per-term renewable scholarship | Reduces charges over multiple terms | Often more valuable than a larger one-time award when renewal conditions are realistic |
| Tuition-percentage award | Moves with eligible tuition charges | Ask whether fees, repeated courses, summer terms, and rate increases are excluded |
| Full-tuition fellowship or assistantship package | May cover tuition and sometimes provide a stipend | Highly competitive and more common in campus-based, research-oriented study than in fully online professional programs |
Compare offers by calculating the confirmed total nonrepayable amount across your expected completion timeline. A smaller renewable award can be preferable to a larger first-term award, while a full-tuition offer may be less flexible if it requires campus work or a full-time schedule that conflicts with employment.
Ask whether the award is applied before or after employer reimbursement and whether it will be reduced if you receive outside scholarships. Those rules can change the practical value of an otherwise attractive award.
Eligibility depends on the award, not just admission to an AI master's program. A student may be academically admissible but ineligible for a particular scholarship because of enrollment intensity, program format, citizenship or residency rules, financial need, prior degree status, or timing.
These are the eligibility areas to verify before investing time in an application.
- Enrollment status: Confirm whether the award requires full-time study, a minimum number of credits, continuous enrollment, or a specific start term.
- Delivery format: Ask whether fully online, hybrid, and campus-based students are treated identically; do not infer eligibility from a university-wide scholarship page.
- Academic criteria: Review minimum GPA rules, prerequisite coursework, standardized-test policies if applicable, and whether professional experience can strengthen a merit review.
- Financial-need criteria: Determine whether the FAFSA, institutional forms, tax information, or a separate need analysis is required.
- Citizenship and residency criteria: Federal aid has its own eligibility standards, while institutional and external scholarships may have different requirements.
- Program-specific criteria: Some awards are limited to engineering students, research tracks, particular career goals, members of partner organizations, veterans, or alumni.
Working professionals with strong technical experience should actively pursue merit awards, employer funding, and partner discounts. Students needing extensive living-expense support may need broader resources, including savings, loans, assistantships where available, and external scholarships, because many online-program awards apply only to tuition.
Keep a written eligibility checklist for each school. It prevents a frequent error: submitting a polished application for an award that excludes part-time online graduate students.
The process usually has two tracks: admission and financial aid. Some universities automatically review admitted students for merit awards; others require separate scholarship forms, recommendation letters, a FAFSA, or a departmental application. Submit materials early because scholarship deadlines can occur before the program's final admission deadline.
Follow this sequence to build a complete application rather than reacting to deadlines after an admission offer arrives.
- Create a spreadsheet with each program's tuition, scholarship deadline, application method, online-eligibility rule, renewal condition, and decision date.
- Apply for admission early enough to meet scholarship consideration deadlines and verify whether an admission decision is required first.
- Complete the FAFSA when you may be eligible for federal aid or when the institution uses it for need-based institutional review.
- Prepare a focused resume, transcripts, recommendation contacts, and a statement that connects your quantitative preparation and goals to the AI curriculum.
- Apply separately for departmental, graduate-school, alumni, employer-partner, and external awards when permitted.
- Compare written offers by total renewable value, excluded fees, enrollment requirements, and the date by which you must accept.
- Ask the financial-aid office to clarify unclear terms before paying a deposit or declining another offer.
Do not assume a scholarship application is complete because the admission portal shows a check mark. Confirm receipt of every required document and save copies of award terms. Applicants navigating other professional programs can use the same deadline-tracking discipline; requirements for ASHA approved SLP programs illustrate why program-specific standards and funding calendars should always be checked separately.
If your offer is insufficient, a respectful reconsideration request can be reasonable. Provide competing offers or newly available information, ask whether additional departmental funds exist, and understand that the school may not be able to increase aid.
Sometimes, but not automatically. Eligible online students can generally pursue federal student aid through the same FAFSA process as campus students when they are enrolled in an eligible degree program at an eligible institution. However, institutional scholarships, assistantships, work-study opportunities, state programs, and donor-funded awards may limit eligibility by location, enrollment status, campus affiliation, or mode of instruction.
The distinction matters because online AI programs are frequently designed for part-time professionals. A scholarship requiring full-time enrollment or a research assistantship requiring on-campus work may be less usable even when the student technically qualifies.
Before enrolling, ask the financial-aid office these direct questions: Is my exact online AI master's eligible for institutional scholarships? Are part-time students eligible? Does the award cover distance-learning fees? Can online students hold assistantships? Is the scholarship renewable if I take one course in a term? Written answers are more useful than general website language.
Do not assume that online learning means lower overall cost or fewer funding choices in every case. Evaluate the particular program's price, aid terms, required travel, and ability to continue earning income while studying.
Many students can combine university scholarships, external awards, employer support, and federal aid, but stacking is controlled by institutional policy and federal cost-of-attendance rules. An outside scholarship may reduce loan eligibility, replace part of an institutional grant, or require an aid-package revision. Report all outside awards promptly rather than waiting until after disbursement.
The following comparison helps clarify when stacking strengthens a plan and when it creates administrative risk.
| Stacking approach | Potential advantage | Potential drawback |
| University merit award plus external scholarship | Can reduce the remaining tuition balance without adding repayment obligations | The university may revise other need-based aid or cap total gift aid |
| University award plus employer reimbursement | Can preserve savings and reduce borrowing for a working student | Employer reimbursement may be delayed, taxable in some circumstances, or subject to a service commitment |
| Scholarship plus federal loans | Lets the student borrow only the documented remaining gap | Loan limits and cost-of-attendance calculations can change after additional scholarship funds are reported |
| Several small external awards | Diversifies funding and can be more attainable than one large competitive award | Requires more applications, reporting, and attention to use restrictions |
Prioritize nonrepayable awards first, then employer support, then the least expensive financing available to you. Read every award letter for phrases such as "last-dollar," "non-stackable," "tuition only," and "subject to revision," because these determine whether two awards actually lower your out-of-pocket cost.
A common mistake is accepting an employer benefit without checking whether it must be repaid if you leave the company. Include that possible obligation in your financial comparison.
Most renewable scholarships require satisfactory academic progress, but the exact standard can be stricter than the minimum needed to remain enrolled. Common conditions include a stated cumulative GPA, continuous enrollment, a minimum credit load, timely degree progress, compliance with conduct standards, and use of the award within a defined period.
Review these terms before accepting an award, especially if you expect to work full time or reduce your course load.
- Read the renewal GPA and determine whether it is measured each term or cumulatively.
- Confirm the minimum and maximum number of credits that preserve eligibility.
- Ask whether a leave of absence, course withdrawal, incomplete grade, repeated course, or summer break affects renewal.
- Verify whether you must refile the FAFSA or submit a renewal form each year.
- Check whether scholarship funds expire after a fixed number of terms even if you are making academic progress.
- Keep copies of award letters and email the financial-aid office before making an enrollment change.
If an unexpected work or family obligation could affect your status, contact the scholarship administrator before withdrawing from a course. Some institutions have appeal processes, but approval is discretionary and should not be assumed.
Scholarship retention is part of program fit. A flexible award with realistic part-time terms may be financially safer for a working professional than a larger award that depends on a full-time schedule.
What tips can help Artificial Intelligence master's students secure more scholarship funding?
The strongest strategy is targeted and early: apply to programs where your academic profile, technical experience, and schedule match the actual award rules. Do not rely on one institutional scholarship, particularly when online eligibility is unclear or the award is nonrenewable.
These steps can improve both the quantity and quality of funding opportunities you pursue.
- Apply before priority scholarship deadlines, even if the general admissions deadline is later.
- Tailor your statement to demonstrate preparation in programming, mathematics, data work, responsible AI, or a clearly defined career application of AI.
- Ask recommenders to address evidence of analytical ability, persistence, project ownership, and readiness for graduate-level work.
- Request a complete cost and aid breakdown from each institution, including mandatory fees, expected term schedule, and renewal rules.
- Ask your employer about reimbursement, professional-development budgets, partner-school discounts, and any required post-study employment period.
- Apply for smaller departmental, alumni, professional-association, and external awards in addition to major scholarships.
- Compare net cost over the entire degree, not only the first term, and borrow only after confirmed gift aid and employer support are applied.
Keep your program search aligned with your career plan. For instance, applicants evaluating cost-sensitive professional education across fields may find that a paralegal associate degree has a very different timeline and financing profile from an AI master's; comparing alternatives can clarify whether graduate borrowing is justified by your intended role.
Avoid generic scholarship essays, missed priority deadlines, and unverified assumptions about online eligibility. The practical goal is not simply to collect award offers; it is to select a program whose remaining cost, pace, and funding conditions you can sustain through graduation.
Other Things You Should Know About Artificial Intelligence
Most universities ask for an admission application, official transcripts, a current résumé, a statement of purpose, and proof of English proficiency such as TOEFL iBT 90 or IELTS 6.5. Some also require two recommendation letters and a separate scholarship form by the program deadline.
Not necessarily. Ask the institution when scholarship decisions are released, whether accepting admission affects eligibility, and whether a deposit is refundable. If deadlines conflict, request a short extension while you wait for complete financial information.
Some institutions permit international students to receive merit or departmental scholarships, but eligibility is award-specific. International students generally do not qualify for U.S. federal student aid, so they should confirm institutional awards, private financing availability, and payment requirements early.
Ask how the award will be applied, whether it changes your loans or prior aid, and whether it is renewable. If you have already borrowed for the term, consider whether reducing future borrowing is preferable to requesting a loan adjustment, based on the school's disbursement rules.
- Master's in AI Online: Today's Best Programs https://www.onlinemastersdegrees.org/best-programs/computer-science/artificial-intelligence-ai/
- Scholarships for AI and Machine Learning | 2026 UPDATED List https://abroadin.com/blog/scholarships-for-ai/
- Top 25 Online Master's In AI Programs for 2026 - Programs.com https://programs.com/programs/online-masters-in-ai/
- Opportunities to Support Your Journey - Women in Data https://www.womenindata.org/blog/opportunities-to-support-your-journey
- Malaysia International Scholarship (MIS) https://biasiswa.mohe.gov.my/biasiswa/docs/popup_doc/mis.php
- Best Artificial Intelligence and Machine Learning Scholarships https://aifwd.com/education/best-artificial-intelligence-scholarships/
- NC RDS | Tuition Benefits and State Financial Aid | NC Residency Determination Service https://www.ncresidency.org/tuition-benefits/
- Scholarships for Project Management Students: A Complete Guide to Funding Your Education https://icustman.com/online-ai-scholarships-for-postgraduate-learners-how-helpful-are-they-really/
- Postgraduate Scholarships in Malaysia for International Students (2026) https://www.easyuni.com/advice/postgraduate-scholarships-malaysia-international-students-3461/
- Academic opportunities https://community.deeplearning.ai/t/academic-opportunities/884689
