2026 Is Maryville University's Online MS in Artificial Intelligence Worth It? Salary, Outcomes, and ROI

The online MS in Artificial Intelligence program at Maryville University offers significant value for students balancing education with professional or personal commitments, thanks to its flexible asynchronous format. This allows learners to pace their studies without sacrificing interaction with faculty, a critical factor for understanding complex AI concepts.

For example, an IT professional shifting toward AI roles can manage workload fluctuations while accessing expert guidance, which helps bridge theoretical knowledge and practical application in real-time job scenarios.

Unlike programs that emphasize either theory or practice, Maryville's approach blends both by leveraging robust digital resources and modern platforms that facilitate collaboration despite its online nature. The program's average graduation rate of 72% reflects not just student retention but a structure that supports successful completion, which is a meaningful indicator for employers who look for candidates with persistence and practical problem-solving skills.

These features collectively position this MS in Artificial Intelligence as a balanced, viable option for those aiming to develop applicable expertise without full-time campus attendance.

Admission to master's programs in artificial intelligence typically remains competitive due to the technical demands and employer expectations in this field. Candidates often face stringent evaluation of their quantitative background and related experience, making entry moderately difficult at many institutions. This selectivity reflects the need to ensure students can handle advanced coursework and contribute meaningfully to a rapidly evolving domain.

Compared to this norm, Maryville University's online MS in Artificial Intelligence program has a notably high acceptance rate of 94%, admitting 3,669 out of 3,916 applicants. The absence of SAT or ACT requirements further reduces traditional entry barriers, suggesting an emphasis on holistic review rather than standardized testing. However, the overall admission difficulty remains moderately difficult, indicating that evaluation likely centers on undergraduate performance and relevant experience to maintain academic standards without reliance on test scores.

This balance between accessibility and rigor positions the program uniquely-it invites a broader applicant pool while still expecting sufficient preparedness for its challenging curriculum. Prospective students should weigh the ease of admission against the program's academic demands and competitive industry expectations.

One recent graduate shared that when applying, they hesitated due to uncertainty about how transferable their background was, given the lack of traditional exam requirements. "I wasn't sure how important my work experience would be since I didn't submit test scores," they recalled. The waiting period was tense as they monitored application updates closely. Ultimately, the acceptance felt affirming, reflecting the program's openness yet commitment to admitting candidates ready to engage deeply with AI concepts.

Maryville University's online MS in Artificial Intelligence curriculum reflects a deliberate effort to meet current employer expectations by balancing theoretical knowledge with applicable technical skills. Employers increasingly seek candidates who can not only master concepts like machine learning but also execute AI-driven solutions within complex, data-intensive environments.

Evaluating the alignment requires understanding how Maryville integrates these competencies through course content and practical experience. The following three factors illustrate how the program targets industry-relevant outcomes:

• Technical Depth: Core courses emphasize advanced machine learning algorithms, neural networks, and deep learning methodologies, ensuring students gain proficiency with key AI tools and frameworks that dominate job requirements in sectors such as finance and autonomous systems.
• Data Analytics Integration: By incorporating data analytics and visualization, the curriculum addresses the critical need to interpret and manage large datasets effectively, a skill often sought in healthcare and business analytics roles, which differentiates graduates in competitive job markets.
• Ethical AI Focus: The program's dedicated coursework on AI ethics and responsible design responds to a growing industry demand for transparency and bias mitigation, essential for deploying AI solutions in regulated or sensitive environments.

The curriculum's structure also reflects an operational tradeoff-while comprehensive, it prioritizes applied projects and case studies over purely research-driven content, appealing primarily to professionals targeting practitioner roles rather than academic or theoretical specializations.

Such industry-aligned learning outcomes in Maryville University MS in Artificial Intelligence position graduates to meet practical challenges effectively, although those seeking academic research careers may need supplementary opportunities beyond the program. For prospective students weighing cost versus value, it is worthwhile to compare Maryville's offerings against programs listed among the cheapest doctorate degree alternatives, especially when budgeting for advanced AI education.

Maryville University's online MS in Artificial Intelligence program tuition and fees total $27,166 annually, with an additional $4,300 estimated for books and supplies. When factoring in room, board, and other living expenses, the total annual cost reaches approximately $49,066. This comprehensive figure reflects a fully burdened financial commitment which students often weigh against potential career outcomes and employability in AI roles. The absence of extra online technology fees and a flat-rate tuition regardless of location adds budgeting predictability, a notable consideration for remote learners balancing work and study.

Financial aid substantially alters the net cost landscape at Maryville University. With 99% of undergraduates receiving some form of aid and an average award of $12,914, many students can offset a significant portion of direct tuition expenses. Institutional grants and corporate tuition reimbursement options also play a role but usually require personalized consultation with the financial aid office to assess individual eligibility. This financial support can be vital for students aiming to mitigate debt while pursuing specialized fields like artificial intelligence, where upfront investment often correlates with longer-term job prospects.

Compared with peer institutions, Maryville University's online MS in Artificial Intelligence tuition falls within the mid to upper range nationally. Other programs may have lower base tuition but add fees or variable rates tied to residency, impacting total cost unpredictably.

Considering the average cost of attendance reported by the Federal Scorecard at $45,093 for in-state, on-campus students, Maryville's all-inclusive online program cost reflects a strategic tradeoff between convenience, transparent pricing, and living expense factors. This clarity supports informed financial decisions, particularly for those comparing comparable AI master's pathways.

While evaluating return on investment, prospective students should also explore online certificate programs that pay well as complementary or alternative credentials within artificial intelligence and related fields. These shorter credential options can serve as stepping stones or cost-effective supplements, especially when real-world application and employer expectations prioritize practical skill demonstration alongside or in place of traditional master's credentials.

Admission to Maryville University's online MS in Artificial Intelligence requires meeting focused academic and testing criteria that influence candidate competitiveness and credit applicability. Understanding the nuances here helps applicants navigate transfer credit potential and language proficiency demands, which are critical considerations given the program's balance of academic rigor and flexibility. Below is a breakdown of key requirements that prospective students should evaluate carefully.

• Academic Background: Applicants must have completed high school or an equivalent credential such as a GED, with submission of secondary school GPA and records. While class rank is suggested, it is not mandatory, creating some latitude in evaluating academic preparation.
• English Proficiency: Non-native English speakers are required to submit scores from tests like TOEFL to demonstrate language skills. This ensures students can meet the program's communication demands, a vital factor when engaging with complex technical material.
• Testing Requirements: Though SAT and ACT scores are not required, supplementary tests such as Wonderlic or WISC-III are recommended but not essential, reducing barriers for non-traditional applicants.
• Transfer Credits: The university accepts transfer credits under average difficulty rules, including ACE recommendations, CLEP, and DSST exams, but does not accept dual credit. This flexibility benefits those with prior learning but requires strategic planning to maximize credit transfer.
• Additional Materials: While not explicitly mandated, graduate applicants are generally expected to provide letters of recommendation, personal statements, and resumes to contextualize their qualifications beyond academic metrics.

Evaluating the return on investment for Maryville University's online MS in Artificial Intelligence requires balancing its substantial tuition cost against realistic earnings prospects. Annual expenses near $49,000 are notably high compared to median mid-career salaries reported for graduates, which hold steady at approximately $62,000.

This contrast illustrates a tight margin for recouping educational costs solely through early career income, especially when factoring in an average student debt of $22,000. For context, AI master's degree holders in the broader workforce can often command salaries exceeding this median, making Maryville's outcomes comparatively modest for the sector.

The ROI calculus shifts significantly if students secure scholarships or grants, reducing upfront costs and improving debt-to-earnings ratios. Graduates employed in competitive technology or government AI roles stand a better chance of surpassing this median salary, accelerating debt repayment and career growth.

However, the program's value depends on realistic job placement and ability to leverage AI skills in sectors with dynamic compensation patterns. Prospective students should weigh these variables alongside personal financial constraints and local job market conditions to assess if the investment aligns with long-term career strategies.

Maryville's AI alumni tend to enter varied industries where demand for AI expertise is sharp, but salary growth may vary widely. This variability underscores the importance of considering employer expectations and sector-specific employment trends when evaluating potential ROI, rather than relying solely on aggregate salary figures or school-provided cost data.

Student satisfaction in Maryville University's online MS in Artificial Intelligence program reflects a balance between academic rigor and supportive infrastructure, which can be decisive for those managing complex personal and professional commitments. The program's graduation rate, hovering around 72%, signals that while a majority adapt well, the curriculum's challenges require consistent effort that not all online learners successfully navigate.

This dynamic often influences how students perceive their experience, as successful completion depends not just on course content but on accessible guidance and community engagement.

Maryville provides several resources tailored to remote students, such as personalized mentoring and active student-led organizations, which contribute positively to many learners' ability to integrate study with life obligations. Feedback from current and former students often highlights the flexibility of the online format as a key advantage, although it does not eliminate typical pressures associated with graduate-level work.

These support systems mitigate isolation and encourage persistence, which aligns with employer expectations for candidates who can balance technical proficiency with self-management under demanding conditions.

Retention initiatives and tailored resources appear to strengthen overall student experience by fostering a motivated, engaged cohort, despite the inherent challenges of advanced AI coursework. This framework promotes a learning environment that supports progression but demands proactive student involvement to fully benefit from available assistance.

One graduate recounted initially hesitating to enroll online due to doubts about managing study alongside a full-time job and family. They found that the mentoring and peer forums were crucial in establishing a realistic study routine and maintaining motivation. "The flexibility helped," they said, "but without active help, I might not have made it through those intense terms." Their experience suggests that satisfaction depends heavily on leveraging the university's support rather than on the online format alone.

Employment outcomes for Maryville University MS in Artificial Intelligence graduates are closely tied to the institution's tailored career services, which address a critical challenge for remote learners: bridging the gap between academic credentials and job market readiness. Insight into employer expectations shows that connections, practical exposure, and targeted visibility often outweigh degree prestige alone in AI-related tech roles.

According to industry research, graduates engaged with career services and alumni networks improve their job prospects by up to 20%, making Maryville's efforts to integrate these resources into its online AI degree career services support particularly relevant.

The university's approach reflects the workforce reality that networking and employer engagement must be proactive and well-structured to yield tangible job leads. The following highlights key employment assistance components students can expect from Maryville:

• Virtual Job Fairs: These events enable students to interact directly with recruiters and hiring managers focused on AI roles, allowing timely connection with employers who prioritize candidates familiar with evolving industry requirements.
• Online Resume Workshops: Designed specifically for remote learners, these workshops refine students' professional presentation to meet tech sector hiring standards, reducing common pitfalls in translating academic experience into effective resumes.
• Specialized Job Portals: Access to platforms targeting technology and data science positions increases candidate visibility to recruiters seeking AI expertise, facilitating earlier and more relevant employment matches.
• Alumni Mentorship Program: Pairing current students with experienced AI professionals from Maryville's large alumni network offers personalized career guidance and inside advice on securing roles in competitive job markets.

The reliance on such targeted supports is essential given geographic and experiential hurdles often faced by online students pursuing this degree. These tools represent practical investments in career readiness that differentiate Maryville University's remote MS in Artificial Intelligence from purely academic or theoretical programs.

For individuals comparing options, supplementing robust coursework with active employment engagement through these avenues can significantly influence early career trajectory. Prospective students may also consider complementary shorter credential options such as 6 week certification programs online to enhance employability alongside this master's program.

Career outcomes significantly affect the practical value of Maryville University's online MS in Artificial Intelligence program, particularly as employers increasingly prioritize demonstrable skills and applicable experience. Graduates entering roles like AI engineer or machine learning specialist face competitive hiring landscapes where technical proficiency in algorithm development and data modeling is essential.

Choosing this degree means positioning oneself for jobs that merge technical expertise with strategic insights, but it also requires a readiness to continuously adapt in fast-evolving industries. Considering these realities, here are relevant career paths associated with this program:

• AI Engineer: Focuses on designing and deploying intelligent systems, often developing machine learning models for automation or data-driven solutions. Salaries generally reflect the specialized technical demand, aligning with upper-tier tech roles.
• Data Scientist: Centers on interpreting large datasets to inform business decisions and predictive modeling. This career calls for strong statistical knowledge and programming skills, with compensation typically competitive within analytics-driven sectors.
• Machine Learning Specialist: Involves creating and fine-tuning algorithms that improve over time, contributing to applications ranging from recommendation systems to autonomous technology. Earning potential is buoyed by a scarcity of qualified talent.
• Automation Consultant: Applies AI methods to optimize workflows and operational efficiencies across industries such as healthcare and finance. The role blends technical know-how with business process understanding and commands varied compensation depending on the industry sector.

Though Maryville University AI graduates employment outcomes are not separately detailed, salary data from related quantitative fields suggest above-average earnings compared to broader business disciplines. For students weighing the program's worth, it is important to note the program's alignment with in-demand skills that support dynamic job prospects.

For those exploring educational options that balance duration with market relevance, examining the shortest master's degree programs online can provide useful context on how accelerated paths compare in preparing candidates for technology-driven careers.

The decision to pursue Maryville University online MS in Artificial Intelligence hinges on multiple factors that align with your specific academic and professional goals. The value of the program cannot be determined by credentials alone; it requires a nuanced evaluation of how the program's structure, content, and outcomes fit your career trajectory and the demands of the AI workforce.

For example, a working professional seeking rapid skill acquisition might prioritize flexible scheduling and practical projects, whereas someone targeting research roles may weigh faculty expertise and institutional reputation more heavily. Several key considerations should shape this assessment.

• Curriculum Relevance: Evaluate whether the courses address the AI subfields most pertinent to your career plans, such as machine learning, data analytics, or natural language processing. Confirm the curriculum integrates hands-on projects that translate theory into applicable skills, as employers increasingly value demonstrable experience over theoretical knowledge alone.
• Program Flexibility and Format: Analyze the delivery method to see if it accommodates your personal circumstances, including asynchronous learning options or an accelerated pace. Flexibility often affects your ability to balance studies with professional or family responsibilities and can influence time-to-completion.
• Faculty Qualifications and Industry Connections: Investigate the background of instructors to ensure they have substantial academic and real-world expertise in AI. Strong industry ties can open networking and internship opportunities that significantly impact job placement success.
• Accreditation and Recognition: Confirm Maryville University's accreditation status since it impacts credit transfer, employer recognition, and access to financial aid. Accredited programs often reflect a baseline standard that employers trust when evaluating candidate credentials.
• Cost Versus Career Advancement: Balance tuition expenses against the career support services offered and potential salary uplift. Analyzing alumni outcomes-such as employment rates and salary improvements-helps determine if the investment justifies the expected return.

Those trying to assess how to determine if Maryville University online MS in Artificial Intelligence fits career goals should also explore broader options, including online colleges starting soon, to compare timelines and program features across institutions for an informed choice.

• Masters in Artificial Intelligence in Canada: Top Universities, Fees, Eligibility https://gyanberry.com/blog/masters-in-artificial-intelligence-in-canada-top-universities-fees-eligibility/
• Application and admission - Master Artificial Intelligence https://www.uva.nl/shared-content/programmas/en/masters/artificial-intelligence/application-and-admission/international-prior-education/international-prior-education-foldout-menu.html
• Career Center Services https://www.maryvillecollege.edu/academics/career-center/career-services/
• Online Master’s in Artificial intelligence https://www.maryville.edu/online-programs/masters/artificial-intelligence/
• 5 Benefits of an Online AI MS Degree | University of Bridgeport https://www.bridgeport.edu/news/benefits-of-online-ms-ai-degree/
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• Online Master of Science in Artificial Intelligence https://online.maryville.edu/online-masters-degrees/artificial-intelligence/
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• Career Opportunities After a Master’s in Artificial Intelligence https://www.eaebarcelona.com/en/blog/requirements-and-career-opportunities-masters-in-artificial-intelligence