The 4 Best AI Masters Degree Programs in Iowa
Employer need for AI-related positions more than doubled over the previous three years. This makes AI master’s degree programs in Iowa a smart choice for your career advancement. Iowa ranks among the nation’s top destinations for artificial intelligence education, with institutions producing 363 master’s completions in 2023 alone. You might be drawn to the Iowa State master’s in AI or learning about the best AI programs for graduate students throughout the state. Either way, you’ll find programs designed to prepare you for over 11,000 entry-level opportunities in Iowa and surrounding states. This guide describes the four top programs and covers curriculum structure, admission criteria and career prospects.
1. Iowa State University – M.S. in Artificial Intelligence
Program Overview
Iowa State University launched its M.S. in Artificial Intelligence in fall 2021 and established itself as the first institution in Iowa to offer a dedicated AI graduate program. This two-year degree targets students with strong quantitative foundations who want to master AI and machine-learning techniques. You’ll work with faculty who have global recognition and conduct research in computer science, computer engineering, and data science.
The program responds to high market demand. Job site Indeed.com ranked machine learning engineer as its top position in 2019 and reported 344% growth in job postings between 2015 and 2018 with an average base salary of $146,000.00. These skills find applications in healthcare, agriculture, transportation, education, weather forecasting, and academic research.
Iowa State’s long history in evidence-based sciences provides the foundation for this graduate offering. The curriculum prepares you to work on building and enhancing AI components while understanding machine learning and big data applications. You’ll also develop the skill of knowing how to communicate AI capabilities and limitations to diverse audiences effectively.
The program started with modest enrollment projections. Original expectations called for five students in the first year and growth to 15 in year two, nearly 40 by year four, and around 70 students by the seventh year. Your hands-on capstone project serves as a portfolio piece when you apply for positions and shows practical skills beyond theoretical knowledge.
Curriculum Breakdown
The program requires completion of specific coursework across multiple categories. Graduate-level credits are distributed between required cores, depth areas, advanced topics, electives, and research components.
Core Requirements
Three foundational courses form the program’s backbone: Design and Analysis of Algorithms, Principles of AI, and Machine Learning. These courses establish the theoretical and practical groundwork for advanced study.
Depth and Specialization
You’ll complete at least 9 credits from depth courses that include Introduction to Machine Learning, Computational Perception, Introduction to Natural Language Processing, Optimization for Machine Learning, and Introduction to Computer Vision. This requirement allows you to build expertise in specific AI domains aligned with your career goals.
Advanced coursework requires at least 3 credits from options like Distributed Algorithms, Parallel Algorithms for Scientific Applications, Theory of Games, Knowledge and Uncertainty, and Advanced Topics in Computational Intelligence. These courses push beyond foundational concepts into specialized research areas.
Electives and Applied Learning
The program mandates at least 6 elective credits from diverse offerings. Options span Advanced Topics in Transportation Engineering: Data Analysis, Deep Learning: Theory and Practice, Data-driven Security and Privacy, Physical Systems Applications, Algorithms for Large Data Sets: Theory and Practice, Applied Modern Multivariate Statistical Learning, and Statistical Natural Language Processing.
Your research component totals 4 credits and splits between Research Colloquia (1 credit) and a Creative Component (3 credits). The Creative Component functions as your capstone project and provides tangible demonstration of applied AI skills.
The curriculum covers knowledge representation and reasoning, search and planning, computer vision and perception, natural language processing, and robotics. Courses give you knowledge and core skills to apply AI and machine learning techniques to practical problems.
Admission Requirements
Iowa State operates an optimized application process with specific academic benchmarks. The MS pre-application is free and requires your current CV or résumé plus transcripts. You automatically enter GRE waiver consideration when you submit the pre-application.
Academic Thresholds
Successful applicants present a combined GRE score of 300 or higher with at least 150 on the quantitative portion typically. You’ll need a USA GPA comparable to a B average, or 3.0 out of 4.00. Strong candidates received A and B USA equivalent grades in core computer science and mathematics courses.
The admissions committee seeks preparatory coursework or professional experience across five areas: programming (like COMS 2270/2280 Java Programming), algorithms (as with COMS 3110 Algorithm Design and Analysis), math and theory for computer science (such as COMS 2300 Discrete Mathematics and COMS 3310 Computer Theory), databases and operating systems (like COMS 3630 Intro to DB Management Systems and COMS 3520 Intro to OS), and statistics (comparable to STAT 2010).
GRE Waiver Process
MS applicants may request a GRE waiver if they meet specific criteria. You qualify to submit a waiver request with a 3.0 or higher equivalent undergraduate CGPA and no more than three C equivalent grades in undergraduate computer science or mathematics courses, plus no more than two C equivalent grades in graduate-level courses.
The waiver review happens case-by-case. GRE waiver decisions arrive within 2 weeks typically. Admitted students must send official GRE scores unless a waiver receives approval. The ETS institution code for Iowa State University is 6306.
Alternative Pathways
Students without a computing background can enter through the Bridge Program. This pathway helps you earn an MS in Computer Science in two and a half years. Bridge students start with an intensive, tailored course set that builds foundational skills for advanced master’s-level work.
Bridge Program applicants need a minimum cumulative grade point average of 3.0 and must complete Calculus 1 Trigonometry with a minimum B grade before starting. This coursework can occur at any institution but must finish before you apply.
Application Timeline
The program accepts Fall or Spring entry without Summer admission. M.S. applications open on September 1, 2025 and close on June 1, 2026. Admission decisions arrive within 10 business days of final application submission. International applicants who require new visas should apply earlier.
English Proficiency Standards
International applicants must demonstrate English proficiency with minimum scores: TOEFL Paper (PBT) 550, TOEFL Internet (iBT) 79 for exams taken before January 21, 2026 or 4.5 for exams taken on or after January 21, 2026, IELTS 6.5, PTE 53, or Duolingo 115.
Tuition & Financial Aid
MS applicants do not receive funding offers at admission time. You can find support through various research labs and organizations outside the computer science department after you arrive on campus.
Iowa State provides multiple financial assistance pathways. The Office of Student Financial Aid offers counseling on education financing methods, informs you about on-campus and local employment opportunities, provides scholarship and academic award information, and delivers consumer information on loans.
Federal Loan Programs
Iowa State participates in Federal Direct Stafford Loan programs. This student loan defers repayment until after you graduate or enroll less than half-time. Graduate students who complete a FAFSA may qualify for the Federal Direct Unsubsidized Stafford Loan.
The Federal Direct Unsubsidized Stafford loan accrues interest from the day of disbursement and is not based on financial need. This loan does not require a credit review. Information is also available about the Federal Graduate PLUS loan.
The Federal Graduate PLUS loan requires a separate application and credit check, which means the loan is not guaranteed. You must complete a FAFSA to apply for either loan program.
Scholarships and Grants
The Office of Student Financial Aid maintains listings of scholarships and grants available to all students, including those intended for graduate students. The Graduate and Professional Student Senate offers Professional Advancement Grants.
More than 85 percent of students receive some form of financial aid. Additional scholarships are available through the university beyond first-year offerings. Your overall financial aid eligibility could change if you receive additional scholarships, either internal or external to the university.
Questions about financial assistance can be directed to the Office of Student Financial Aid at 0210 Beardshear Hall, Ames, Iowa 50011, or by phone at (515) 294-2223.
Career Outcomes
AI experts find demand across industry, government, nonprofits, and academia. Your skills apply to healthcare, agriculture, transportation, education, weather forecasting, academic research, and many other fields. Iowa industries require these advanced capabilities, as do companies around the world.
Job placement rates for artificial intelligence master’s graduates range between 70% and 85% within the first year after completion for full-time, AI-relevant employment typically, depending on internship experience, specialization, employer demand, and region. Broader “any employment” figures can approach or surpass 90%, but those numbers may include roles not tied to artificial intelligence directly.
Career services affect job placement for artificial intelligence master’s students significantly, especially for career changers, international students, and graduates without an existing technical network. Strong programs provide targeted support before the final semester and help you choose projects strategically, prepare for internships, build employer-facing portfolios, and connect with recruiters while still enrolled.
Graduates who concentrate in natural language processing show faster employment, which reflects strong industry demand. Employer perception favors candidates with internship experience and signals practical skills that often accelerate hiring timelines while enhancing job stability in competitive sectors.
Geographic location affects placement rates substantially. Urban tech hubs provide quicker access to roles, though higher living costs and competition create tradeoffs for affordability. You should ask programs for placement outcomes at three, six, and twelve months after graduation to understand realistic timelines.
Starting salaries vary widely based on industry, job title, geography, prior experience, employer size, and whether the role focuses on research, engineering, or analytics. Higher nominal salaries in major tech centers may be offset by higher housing and living expenses in part.
2. University of Iowa – Artificial Intelligence Graduate Program
Program Overview
University of Iowa takes an alternative approach to AI graduate education. The institution provides specialized certificate programs that complement existing graduate degrees or serve as standalone credentials for working professionals rather than offering a standalone master’s degree in artificial intelligence.
Tippie College of Business operates the Graduate Certificate in Artificial Intelligence and Machine Learning. This program gives you the knowledge and skills in machine learning algorithms, neural networks, natural language processing, and data analytics. Certificate courses are offered online and provide flexibility for professionals seeking to deepen their expertise while maintaining work commitments.
The College of Engineering administers the Artificial Intelligence, Modeling and Simulation in Engineering (AIMS) graduate certificate through the Department of Mechanical Engineering. This program teaches hybrid approaches that combine AI with engineering simulation methods and emphasizes uncertainty quantification in all techniques.
The business-focused certificate complements the Master of Science in business analytics ideally. You’ll learn to understand foundations of modern AI and machine learning algorithms, design and implement AI solutions to ground problems, and assess the effectiveness of different approaches for analyzing unstructured data.
Engineering students benefit from the AIMS certificate’s focus on combining knowledge-based modeling approaches with data-based machine learning methods. This hybrid strategy prepares you to design intelligent complex machines and systems.
Both certificates target professionals seeking advanced techniques and methodologies applicable in a variety of industries. Traditional master’s programs demand two years of full-time study, but these certificates provide focused training in 12 to 15 semester hours.
Curriculum Breakdown
The Graduate Certificate in Artificial Intelligence and Machine Learning demands 12 semester hours of credit with a minimum GPA of 2.75. You may count up to 3 semester hours of previous graduate or professional coursework toward the certificate with program approval.
Your required foundation begins with Applied Deep Learning (BAIS:6250), a 3-credit course. This core course establishes essential deep learning concepts before you select three elective courses totaling 9 semester hours.
Elective options have Text Analytics (BAIS:6100), Social Analytics (BAIS:6105), Applied Optimization (BAIS:6130), Generative Artificial Intelligence (BAIS:6260), and Quantitative Finance and Machine Learning (FIN:9160). Each elective carries 3 semester hours. Not all courses are offered regularly, so you’ll want to consult MyUI for availability or discuss offerings with your advisor.
The AIMS graduate certificate demands a minimum of 15 semester hours with a GPA of at least 3.00 in coursework for the certificate. You must have one or more courses left to complete or be in the process of completing your last course when adding the certificate, as awards cannot be issued retroactively.
AIMS core requirements span three courses: Data-driven Analysis in Engineering Mechanics (ME:5170, offered fall odd years), Uncertainty Quantification and Design Optimization (ME:5300, offered fall even years), and Multiscale Computational Science and Engineering (ME:6255, offered spring every two years).
Your elective selections for AIMS draw from engineering courses numbered 4100 and above, advanced mathematics, physics, or chemistry courses, or independent investigation in mechanical engineering subjects. Students may petition to substitute listed courses with graduate-level AI, machine learning, or modeling and simulation courses from other departments.
The AIMS program encourages participation in workshops related to Python, R, or high performance and parallel computing offered by Information Technology Services Research Services and HACKUIOWA strongly.
Admission Requirements
You must meet admission requirements for both the Graduate College and your chosen certificate program. The Graduate College demands a bachelor’s degree from a regionally accredited American college or university, or an equivalent degree from another country as determined by the Office of Admissions.
A minimum grade-point average of 3.00, or the foreign equivalent, applies in graduate programs. International applicants whose native language is not English must demonstrate proficiency through standardized testing.
The Graduate College demands a minimum TOEFL score of 81 for Internet-based testing or a minimum IELTS score of 7.0 with no section score lower than 6.0. DuoLingo scores are also accepted. Students with TOEFL scores below 100 on Internet-based testing generally are not admitted to competitive programs.
All students submitting DuoLingo scores and students submitting TOEFL scores under 100 or IELTS scores under 8.0 must take an on-campus English Proficiency Evaluation prior to registration. Exceeding minimum scores does not guarantee admission, and average scores of students awarded financial aid are substantially higher.
GRE General Test scores are optional for many graduate programs at Iowa. Applicants currently being admitted generally have both Quantitative and Verbal GRE scores in the 155-160+ range when submitted.
Application materials have unofficial transcripts during the application process and verify you hold an undergraduate degree with the required GPA. Official transcripts showing your baccalaureate or higher degrees are required if you receive admission.
Your Statement of Purpose should be at least one page but no more than two pages, with font no smaller than 10 points. You’ll also submit a current curriculum vitae or resume plus three letters of recommendation from people who can assess the scope and quality of your past academic or professional work. At least one should be an academic reference.
Tuition & Financial Aid
Graduate tuition and fees at the University of Iowa are estimated at $14,244.00 for Iowa residents and $33,295.00 for nonresidents for the 2026-2027 academic year. These figures are based on the Graduate College and represent tuition only.
Your total estimated cost of attendance for graduate students living on or off campus reaches $38,986.00 for Iowa residents and $58,037.00 for nonresidents. This has housing and food estimated at $18,962.00, books and supplies at $650.00, personal expenses at $3,648.00, and transportation at $1,482.00.
Students living at home with a parent or relative face lower total costs of $23,558.00 for Iowa residents and $42,609.00 for nonresidents. This reduction reflects decreased housing and food costs of $4,256.00 and transportation costs of $760.00.
The State of Iowa Board of Regents finalizes tuition rates each summer for the following school year. Tuition varies for students depending on their area of study. New students in their first semester will also be billed a one-time University Records and Document Fee of $250.00.
The Graduate College provides financial assistance to help you meet educational, living, and professional development expenses. Graduate students might be eligible for financial support, though several contingencies apply and have degree program, award type, satisfactory progress toward degree, satisfactory completion of duties related to an appointment, and availability of funding.
You should ask directly with your program for information about funding availability. The university will classify you as a resident for tuition purposes during semesters you hold a teaching or research assistant appointment of 25% time (10 hours per week) or greater.
Graduate teaching assistantships at quarter-time effort demand 10 hours per week while half-time graduate teaching appointments demand 20 hours per week. The university contributes toward health and dental benefits for graduate assistants and their dependents.
Career Outcomes
The University of Iowa commits to providing accurate and transparent information about career opportunities for graduates. Career outcome statistics are based on verified data and reflect real employment trends among University of Iowa graduates. The knowledge rate for all new graduates ranges between 70-75% and varies among programs and colleges.
Master’s graduates in Iowa earn a median salary of $89,450.00, approximately 20-30% higher than bachelor’s degree holders. The concentration of technology companies in Des Moines, Cedar Rapids, and Iowa City creates strong demand for graduate-level talent, with Principal Financial, Wellmark, and Rockwell Collins recruiting from programs actively.
Salaries vary by metro area within Iowa. Des Moines offers $98,395.00 while Cedar Rapids provides $93,923.00 in average compensation. Entry-level positions start around $58,143.00, while senior roles exceed $129,703.00.
Iowa’s artificial intelligence job market is experiencing growth, driven by diverse employers in major metropolitan areas. The technology sector continues to expand, with Des Moines, Cedar Rapids, Iowa City, and the Quad Cities region emerging as primary hubs for AI-related employment.
3. Maharishi International University – M.S. in Artificial Intelligence
Program Overview
Maharishi International University in Fairfield takes a specialization approach to artificial intelligence education. MIU provides a Data Science specialization track within the Master of Science in Computer Science program rather than offering a standalone master’s degree. This model allows you to build computer science foundations while developing concentrated expertise in AI-related domains.
The Data Science specialization extends your I-20 for about one year beyond the standard MSCS timeline. You’ll complete three additional distance education courses totaling 12 units on top of the 40 units required for the regular degree. So no additional on-campus study is required once you begin the specialization coursework.
Curricular Practical Training authorization spans the full length of the specialization program, about one year. This structure makes it possible for you to apply classroom learning in professional settings while completing your degree requirements. Current MSCS students who have never had their I-20 extended may enroll in the Data Science specialization track.
You must complete all regular MSCS degree requirements before receiving the specialization designation on your transcript. The specialization appears on your MIU transcript after you complete all three required courses. Students whose I-20 is extended to complete MSCS graduation requirements receive a total program extension of one year, including the original program extension.
Curriculum Highlights
The Data Science specialization curriculum focuses on five core courses: Machine Learning, Big Data, Big Data Technology, Big Data Analytics, and Artificial Intelligence. These courses are the foundations of the AI-focused track within the broader computer science program.
You’ll select three courses from this group to fulfill specialization requirements. Machine Learning introduces meta-algorithms that use data as a knowledge source and teaches you to build models for control systems and knowledge extraction. Big Data courses cover technology infrastructure and analytics methodologies. They also include large-scale data processing techniques that are essential for modern AI applications.
The Artificial Intelligence course provides concentrated study in AI principles. It complements machine learning foundations with broader algorithmic approaches. Distance education delivery allows you to complete these courses while maintaining CPT employment. You can balance practical work experience with academic advancement.
The standard MSCS program requires 44 total credits with a cumulative GPA of 3.0 or higher. Core requirements include Modern Programming Practices and Algorithms, with the latter requiring a minimum B- grade. You must also complete at least one Systems or Analysis course from options including Cloud Computing, Database Management Systems, and Parallel Programming.
Graduate-level coursework demands at least 22 of the 44 total credits in courses at the 5xx level or above. Students can apply for a Data Science Course Completion Certificate after completing any three Data Science courses within the MSCS program and earning a grade of B or higher.
Admission Requirements
MIU operates rolling admissions and reviews applications for acceptance year-round once you complete required materials. You can submit applications at any time for undergraduate, graduate, and non-degree programs. Your admissions counselor connects with you after submission to guide you through the remaining steps.
The application deadline follows a rolling schedule and provides flexibility for entry planning. International students requiring English proficiency demonstration must achieve a minimum Duolingo English Test score of 100. The minimum high school GPA requirement is 2.5 for undergraduate programs.
Transfer students receive acceptance, and you may earn advanced standing credit. The university sometimes denies admittance to qualified applicants based on capacity constraints. Application essays are required as part of the admission process.
Tuition & Financial Aid
MIU’s tuition structure positions it among America’s most affordable universities. The base tuition reaches $16,530.00 a year. Program tuition for online courses operates at $505.00 per credit.
The Data Science specialization costs $12,000.00 total. Payment is due before the first distance education course begins or before I-20 extension. This amount may not be added to existing loans you carry for MSCS program expenses.
You may withdraw from the specialization program after completing the first course. The first course charge is $4,000.00 and results in a $8,000.00 refund upon withdrawal. No refund is available for that course once each course starts. Health insurance is not included in specialization program costs.
More than 90% of MIU students receive large financial aid. Federal grants and loans cover all or most costs for U.S. students. Eligible undergraduate students receive federal grants, loans, and university scholarship support. Need-based scholarship support is available for international students.
Career Outcomes
AI-related jobs command median salaries between $110,000.00 and $140,000.00 a year, with specialized or senior positions often exceeding $160,000.00. Entry-level professionals with artificial intelligence credentials start in the range of $85,000.00 to $110,000.00 a year, while those with master’s degrees can expect $100,000.00 to $130,000.00.
Mid-level professionals earn between $130,000.00 and $160,000.00. Senior experts, AI architects, or research leads can make $170,000.00 to $200,000.00 or more. Some employers also offer bonuses and stock options, especially when you have technology companies and AI-focused startups.
Organizations embed AI into products, workflows, research, operations, and customer experiences more and more. This drives strong demand for AI talent. The market has become more competitive, with employers wanting candidates who demonstrate practical experience and strong fundamentals. They also want the ability to work with real data.
4. University of Northern Iowa – Mathematics of Artificial Intelligence
Program Overview
The University of Northern Iowa offers an undergraduate major in Mathematics of Artificial Intelligence through the College of Humanities, Arts and Sciences. This program emphasizes theoretical and mathematical foundations powering AI technologies rather than coding implementation. Douglas Mupasiri, head of UNI’s mathematics department, notes that professionals trained in mathematics can diagnose model failures and understand uncertainty while adapting to new technologies as the field evolves.
Curriculum Highlights
Your coursework spans calculus, linear algebra, discrete mathematics, probability, statistics, optimization and computer programming. Beyond these foundations, you’ll complete specialized studies in machine learning and the mathematics of deep learning. The program prepares you for graduate study in mathematics, data science, artificial intelligence or related fields.
Admission Requirements
Standard undergraduate admission requirements apply through UNI’s admissions office.
Tuition & Financial Aid
Tuition for in-state students is $9,936.00 while out-of-state students pay $21,712.00. The average need-based scholarship awarded to first-year students was $5,924.00. Therefore, 53% of first-year students received need-based financial aid in fall 2023.
Career Outcomes
Graduates enter technology, finance, healthcare, manufacturing, business and government sectors. The mathematical foundation allows you to stand out in job markets requiring analytical depth.
Next Steps
Just to restate, Iowa presents four distinct pathways to advance your AI career. Each addresses different needs and timelines. Iowa State’s dedicated master’s program delivers comprehensive AI training. The University of Iowa provides flexible certificates for working professionals, while Maharishi International offers specialized data science training within a computer science framework. UNI establishes strong mathematical foundations at the undergraduate level.
Your choice depends on your current career stage and academic background. You also need to decide whether you prefer full immersion or part-time study. Salaries for AI professionals range from $85,000.00 to over $140,000.00 each year. Iowa’s growing tech sector recruits graduates with vigor. Strong employer demand and multiple entry points mean you’ll find an AI education pathway that matches your professional goals.