2027 Online Machine Learning Degree Programs With University Scholarships: Awards, Eligibility, and Net Cost
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An online machine learning degree can look affordable until technology fees, enrollment rules, and limits on institutional aid change the actual bill. This guide is for prospective undergraduate and graduate students comparing university-funded scholarships. In 2024-25, average published tuition and fees at U.S. public four-year institutions were $11,610, according to the College Board, before aid and living costs. Learn how to compare awards, confirm eligibility and renewal terms, and calculate net cost rather than choosing based on tuition or a headline scholarship alone.
Key Things You Should Know
- University scholarships for online machine learning students vary widely: some schools include online learners in general institutional aid, while others restrict awards to campus-based, degree-seeking, full-time, or first-time students.
- A scholarship is valuable only after comparing it with total charges. Using the 2024-25 public four-year average tuition and fee figure of $11,610 as context, an award can reduce costs substantially but may not cover distance-learning fees, course materials, or living expenses.
- Most renewable awards require satisfactory academic progress and may require a minimum GPA, credit load, or annual FAFSA; confirm whether the award is renewable, stackable, and available to online students before accepting admission.
Which Online Machine Learning Degree Programs Offer University Scholarships?
There is no single national scholarship reserved for every online machine learning degree. Institutional scholarships are funds awarded by a college or university rather than by the federal government. Availability usually depends on whether the machine learning curriculum is offered as a standalone degree, a data science degree with a machine learning concentration, a computer science degree with AI coursework, or a graduate certificate.
The strongest places to look are accredited universities that explicitly classify online learners as degree-seeking students eligible for general university scholarships. Public universities may offer resident-focused awards and lower base tuition, while private nonprofit universities may use institutional grants to reduce a higher published price. Neither model is automatically cheaper.
This comparison identifies the program structures most likely to have institutional-aid pathways. It is a screening tool, not a promise that a particular applicant will receive an award.
| Online study option | Typical institutional scholarship access | Important limitation to verify | Best fit |
| Bachelor's in computer science, data science, or AI with machine learning coursework | Often eligible for undergraduate merit and need-based institutional aid | Whether fully online students receive the same awards as campus students | Students seeking broad technical foundations and federal undergraduate aid |
| Online master's in data science, computer science, or artificial intelligence | May offer graduate scholarships, departmental awards, or employer-partner discounts | Many graduate scholarships require full-time enrollment or are limited in number | Professionals with programming and quantitative prerequisites |
| Online machine learning certificate | Less commonly eligible for university scholarships | Whether certificate students can use federal aid or institutional grants | Students testing the field or building targeted skills |
| Online completion degree after transfer | May include transfer scholarships and adult-learner awards | Minimum transferred credits and residency-credit requirements | Students with prior college coursework |
Machine learning is often housed within data science or computer science rather than labeled as its own degree. That matters because scholarship eligibility follows the institution's degree classification, enrollment status, and financial-aid policies - not the marketing name of the concentration.
When exploring adjacent online programs, use the same financial-aid questions you would use for an video game design degree: Is the student officially degree-seeking, does the institution award aid to online learners, and what costs remain after the award?
A practical shortlist should include only schools that can answer these questions in writing: whether institutional scholarships apply online, whether a separate application is required, the typical decision timeline, and whether the scholarship is renewable.
How Much Scholarship Money Can Online Machine Learning Degree Students Receive?
For context, the maximum Federal Pell Grant for the 2025-26 award year is $7,395 for eligible undergraduates. Pell is federal need-based grant aid rather than a university scholarship, but it helps show why students should evaluate the complete aid package instead of looking only at institutional awards. Graduate students are generally not eligible for Pell Grants.
The following award labels are common. Their names do not reliably indicate value, so ask each school for the annual amount, term-by-term disbursement, and conditions.
| Award type | How it is commonly determined | What the student should confirm |
| Academic merit scholarship | Prior GPA, test scores where considered, academic achievements, or portfolio of accomplishments | Whether online students qualify and whether the amount changes after transfer-credit evaluation |
| Need-based institutional grant | Financial information submitted through FAFSA or an institutional aid application | Whether federal aid eligibility is required and whether the grant changes annually |
| Departmental scholarship | Major, academic interests, faculty selection, or a separate application | Whether machine learning, computer science, or data science students are eligible |
| Transfer or adult-learner award | Transfer GPA, earned credits, employment history, or return-to-school status | Required credit threshold, application date, and whether part-time enrollment is allowed |
| Military-affiliated tuition benefit or scholarship | Service status, veteran status, dependent eligibility, or institutional military partnership | Whether it can be combined with VA education benefits and other institutional aid |
A smaller scholarship at a lower-priced public university can produce a lower net cost than a large award at a higher-priced private university. Compare the dollar amount against the full annual cost of attendance and against charges that the scholarship does not cover.
What Are the Eligibility Requirements for Online Machine Learning Degree Scholarships?
Eligibility requirements are the conditions a student must meet to receive an award. Schools may apply different rules to undergraduate, graduate, certificate, transfer, international, and online students. The admissions office may say that scholarships are available, but the financial-aid office can confirm whether a specific online program qualifies.
Most institutional scholarship reviews consider several of the following factors. These conditions should be checked before paying an enrollment deposit.
- Admission to an eligible degree program rather than a nondegree course sequence or certificate.
- Online enrollment eligibility, including whether students must live in a particular state or enroll through a designated online campus.
- Academic record, such as high school GPA, transfer GPA, prior degree performance, prerequisite coursework, or standardized tests if the institution uses them.
- Enrollment intensity, because some awards require full-time study while others permit part-time enrollment.
- Financial need, often documented through FAFSA for U.S. citizens and eligible noncitizens.
- Application timing, since priority deadlines can occur before the general admission deadline.
- Satisfactory academic progress and conduct standards for continuing students.
Online machine learning programs often expect prior coursework in calculus, statistics, programming, or linear algebra, particularly at the master's level. These are typically admissions requirements, not scholarship requirements, but they affect how quickly a student can begin core courses and how many terms they will need to finance.
Adults changing careers should not assume that age or a gap since high school makes them ineligible. Many schools evaluate adult learners through transfer GPA, prior degrees, work experience, or need-based aid. The same distinction between program admission and aid eligibility also matters when comparing a clinical psychology online masters program or another specialized graduate route.
A red flag is vague language such as "scholarships available" without a written policy for online students. Ask whether eligibility is automatic, competitive, need-based, or limited to a specific intake term.
Scholarship application processes differ more than many applicants expect. Some institutions automatically consider admitted students for merit awards. Others require FAFSA, a scholarship portal application, essays, recommendation letters, proof of military affiliation, or a separate departmental form.
Use this sequence to avoid losing an award because an application component was missed.
- Confirm that the online machine learning-related degree is eligible for institutional aid before applying.
- Submit the admission application early enough to meet any scholarship-priority deadline.
- Complete FAFSA if you are eligible and the institution requests it, even when you expect to receive merit aid.
- Open the university scholarship portal and identify applications for online, transfer, data science, computer science, adult-learner, and military-affiliated students.
- Submit supporting materials, such as transcripts, résumé, essay, recommendations, or proof of eligibility, by the stated deadline.
- Save copies of award notices and ask for written clarification of amount, duration, enrollment requirements, and renewal rules.
- Compare finalized aid offers only after each school has received all required documents.
Do not confuse admission confirmation with scholarship confirmation. A financial-aid offer should identify the award name, amount, academic period, and whether it is a grant, scholarship, loan, work-study offer, or tuition discount.
Students comparing programs across fields can use similar document-tracking habits. For example, applicants to an accelerated MSW program online may face different prerequisite and field-placement rules, but they still need to verify whether university aid applies to the online format and whether it renews.
Some university scholarships renew automatically if the student remains eligible; others are one-time awards or require a new application every year. Renewable aid is especially important for a multi-year bachelor's degree, but it also matters in master's programs that take more than one academic year because of part-time enrollment or prerequisite courses.
Renewal usually means the award continues for a stated number of terms, not indefinitely. The following terms determine whether an initial scholarship remains useful over the full degree timeline.
| Renewal condition | Why it affects online students | Question to ask |
| Minimum cumulative GPA | A demanding quantitative curriculum can affect academic performance during the first terms | What GPA is required, and is there probation or an appeal process? |
| Enrollment level | Working adults may take fewer credits each term | Does the scholarship require full-time enrollment, and what counts as full time? |
| Maximum funded terms | Transferred credits, course availability, and prerequisites can extend completion time | How many semesters, quarters, or credit hours are funded? |
| Annual financial-aid filing | Need-based institutional aid can be recalculated each year | Must FAFSA or another form be filed annually by a priority date? |
| Program and campus eligibility | Switching from online to campus, changing majors, or moving to a certificate can alter eligibility | Does the award follow the student if the academic plan changes? |
Before accepting an offer, calculate the scholarship's value over the period it is actually guaranteed to cover. A first-year award may be less valuable than a smaller renewable award if both schools have similar total charges.
Common mistakes include assuming a scholarship is renewed merely because it appears on the first aid offer, overlooking a required credit load, or failing to meet an annual FAFSA deadline. Put renewal dates and GPA thresholds on a calendar and ask for the policy link or written award terms.
In many cases, yes. Students may be able to combine institutional scholarships with federal grants, federal loans, state aid, employer tuition assistance, private scholarships, veterans' education benefits, or workforce funding. This is often called aid stacking. However, each institution decides how outside awards affect its own grants and scholarships.
FAFSA is the application used to determine eligibility for federal student aid and may also be used by colleges to award institutional need-based funds. Submitting FAFSA does not guarantee a scholarship, and students who are not eligible for federal aid may still qualify for certain merit-based institutional awards.
The order in which aid is applied can change the final package. This table shows the questions that reveal whether an outside resource could reduce university-funded aid.
| Funding source | Can it often be combined? | Potential issue to verify |
| Federal Pell Grant | Often, for eligible undergraduate students | Total aid cannot exceed the institution's cost-of-attendance limits |
| Federal Direct Loans | Often | Loans increase repayment obligations and should not be treated as scholarship money |
| State grant | Often, subject to residency and program rules | Some states limit support for online enrollment or out-of-state institutions |
| Employer tuition assistance | Often, but policies vary | The school may revise need-based institutional aid after receiving employer funds |
| Private scholarship | Often | The college may reduce loans, work-study, grants, or institutional scholarships depending on its policy |
| VA education benefits | Often | Certification requirements, course modality, and institutional military policies can affect benefits |
Report outside scholarships promptly and request a revised aid estimate before enrolling. The best outcome is not simply stacking the most award names; it is understanding which aid reduces direct charges, which must be repaid, and which may displace other grants.
Net cost is the amount left after grants and scholarships are subtracted from the school's cost of attendance. It is different from published tuition and different from the amount billed by the university. A bill may exclude housing and personal expenses, while cost of attendance includes estimated educational and living costs used for financial-aid purposes.
For a starting benchmark, the College Board reports average 2024-25 published tuition and fees of $11,610 at public four-year institutions and $43,350 at private nonprofit four-year institutions. These national averages are not online machine learning program prices. Use them only to understand why a higher scholarship can still leave a higher net cost.
This simplified example shows how two offers can produce different results. It is an illustration, not a quote or prediction from a university.
| Annual comparison item | School A: lower published charges | School B: higher published charges |
| Tuition and required institutional fees | $14,000 | $28,000 |
| University scholarship and grants | $3,000 | $10,000 |
| Estimated direct net charges after grants and scholarships | $11,000 | $18,000 |
| Key lesson | Smaller award can still mean lower direct cost | Larger award does not automatically make the program less expensive |
To calculate your own estimate, subtract grants and scholarships that do not require repayment from tuition, mandatory fees, and other direct charges. Then separately budget for books, software, equipment, proctoring, internet, transportation, and living expenses. Do not subtract loans as though they reduce the cost; loans finance the cost and generally must be repaid.
Online tuition structures can be difficult to compare because some schools charge by credit, some charge a flat full-time rate, and some add distance-learning or technology fees. A related search for the cheapest online human resources degree illustrates the same core principle: evaluate total program charges and aid terms, not the tuition headline alone.
For the most accurate estimate, ask each university for a program-specific cost sheet showing required credits, per-credit tuition, fees, anticipated annual increases if disclosed, scholarship terms, and the expected cost to complete.
Yes, but eligibility is not uniform. Transfer students may find awards tied to a minimum number of accepted credits or a transfer GPA. Adult learners may be considered for completion-program, returning-student, employer-partnership, or need-based aid. Active-duty service members, veterans, and eligible dependents may have access to institution-specific military scholarships in addition to federal VA education benefits.
These applicant groups should focus on the eligibility details most likely to affect an online enrollment plan.
- Transfer students: Ask whether the scholarship uses your sending-school GPA or recalculates GPA after transfer evaluation, and confirm the number of credits that must transfer.
- Adult and returning students: Check whether awards require a recent high school GPA, full-time enrollment, or a first-time-college status that may exclude returning learners.
- Military-affiliated students: Verify the university's military tuition policy, benefit-certification process, residency rules, and whether scholarships can be used with VA benefits.
- Part-time students: Confirm whether the award is reduced proportionally, delayed until full-time enrollment, or unavailable below a stated credit load.
- International students: Ask whether merit scholarships are open to online students studying from abroad and whether federal aid is excluded.
- Employees using tuition assistance: Determine whether your employer pays after grades post, whether reimbursement has a grade requirement, and whether the college reduces institutional need-based aid.
A transfer-friendly academic plan can lower total cost even without a large scholarship because accepted credits may reduce the number of credits billed by the receiving institution. However, students should confirm that transferred courses satisfy degree requirements rather than assuming all credits will apply to the major.
Military and adult learners comparing online pathways may also encounter policies similar to those in online BCBA programs, where program sequencing, supervised requirements, and enrollment pacing can affect the real time and cost required to finish. For machine learning, the comparable issue is whether prerequisite math and programming courses add billable credits before advanced coursework begins.
Merit-based scholarships are generally awarded for academic achievement, talent, leadership, professional accomplishments, or another qualification independent of family finances. Need-based scholarships are awarded partly or primarily because a student demonstrates financial need, commonly through FAFSA or an institution's financial-aid application.
Neither type is inherently better. The better offer is the one you are eligible to keep and that produces the lowest manageable net cost for the credential you need.
| Feature | Merit-based scholarship | Need-based scholarship or grant |
| Primary basis | Academic or other achievement criteria | Demonstrated financial need |
| FAFSA requirement | May not be required | Often required for eligible students |
| Amount stability | Can be more predictable if renewal criteria are met | Can change when financial circumstances or institutional funding changes |
| Common renewal terms | GPA, satisfactory progress, and enrollment level | Continued need, FAFSA completion, satisfactory progress, and enrollment level |
| Best comparison question | Can I meet the academic and credit-load conditions every term? | Will this grant remain if my income, household, or enrollment changes? |
Students with a strong academic record should still submit FAFSA when eligible because it can open access to need-based grants, subsidized loans, work-study, and some university scholarships. Students who expect need-based aid should also apply for merit awards because some institutions permit both forms of aid.
Be cautious of labels. A university may call an award a "scholarship" even when it is based on need, and an "institutional grant" may have merit conditions. Read the award description and renewal terms rather than relying on the name.
How Should You Compare Scholarship Offers From Online Machine Learning Degree Programs?
Compare offers after each university has issued a complete aid package, not after an admissions representative shares a possible scholarship range. The goal is to identify the most affordable path to an appropriately accredited degree with coursework that supports your career objective, not simply the largest single award.
Use these comparison steps to turn each award notice into a decision-ready estimate.
- List tuition, mandatory fees, program-specific technology charges, and the total credits required for completion.
- Separate grants and scholarships from loans, work-study, and employer reimbursement.
- Confirm whether each institutional scholarship applies to fully online machine learning-related students.
- Calculate direct net charges by subtracting nonrepayable aid from tuition and required fees.
- Estimate the remaining cost across all required terms, using the scholarship's actual renewal duration rather than assuming it lasts through graduation.
- Check the minimum GPA, required credit load, FAFSA filing requirement, and maximum funded terms.
- Compare curriculum, accreditation, transfer-credit acceptance, prerequisite requirements, and career support alongside price.
- Ask the financial-aid office to explain, in writing, how an outside scholarship, employer benefit, or change to part-time status would affect the package.
The Bureau of Labor Statistics reports a 2024 median annual wage of $112,590 for U.S. data scientists and projects 36% employment growth from 2023 to 2033. Machine learning work overlaps with data science, but a machine learning degree does not automatically qualify every graduate for that occupation. Use labor-market information as context for evaluating program fit, not as a salary guarantee.
Before committing, compare whether the degree provides enough statistics, programming, model-development, and responsible-AI preparation for the roles you want. Broader affordability research, including comparisons of a cheapest online human resources degree, reinforces a useful rule: the best-value program is the one with transparent total cost, usable aid, and a realistic completion path.
Final red flags include awards that are not documented, scholarships dependent on conditions you cannot meet, tuition quotes that exclude mandatory fees, and a school that will not clarify whether online learners receive the same institutional aid as campus students.
Other Things You Should Know About Machine Learning
Not always. Some entry-level analytical or technical roles accept degrees in computer science, data science, mathematics, statistics, engineering, or related fields. A machine learning-focused degree can be useful when it includes programming, probability, statistics, model evaluation, data engineering, and responsible AI topics. Employers may also evaluate projects and practical experience.
Look for coursework in Python or another programming language, calculus or linear algebra as appropriate, probability and statistics, data structures, databases, supervised and unsupervised learning, model evaluation, deployment concepts, and ethics or responsible AI. The right depth depends on whether you seek a bachelor's degree, master's degree, or a shorter credential.
Completion time depends on degree level, transfer credits, prerequisite requirements, course availability, and whether you study full time. A bachelor's degree commonly requires roughly four years of full-time study before transfer credit, while master's timelines vary substantially by program and pacing. Ask for the required credit total and a sample term sequence.
Yes. Institutional accreditation is important for credit transfer, federal financial-aid eligibility, and employer confidence. Programmatic accreditation may also matter for some computer science or engineering programs, though it is not universal for machine learning degrees. Confirm the institution's accreditation status and whether the online program is covered by the same academic oversight as its campus version.
- Scholarships for AI and Machine Learning | 2026 UPDATED List https://abroadin.com/blog/scholarships-for-ai/
- Are There Online Degree Scholarships for International Students? https://lakewood.edu/online-degree-scholarships-international/
- 17 Data Science Scholarships https://www.mastersindatascience.org/resources/data-science-scholarships/
- The AWS AI & ML Scholarship in 2026 for Tech Beginners https://bold.org/blog/aws-ai-ml-scholarship-program/
- Best Artificial Intelligence and Machine Learning Scholarships https://aifwd.com/education/best-artificial-intelligence-scholarships/
- Academic opportunities https://community.deeplearning.ai/t/academic-opportunities/884689
- Top 25 Online Master's In AI Programs for 2026 - Programs.com https://programs.com/programs/online-masters-in-ai/
- Online Master's Degree in Artificial Intelligence (AI) & Machine Learning | CSU Global | Accredited https://csuglobal.edu/academic-programs/graduate-degrees/masters-science-degree-artificial-intelligence-machine-learning
