University campus in Oklahoma
Updated June 28, 2026

Best Machine Learning Degree Programs in Oklahoma, 2026 Rankings

Compare the top machine learning colleges in Oklahoma. 10 accredited machine learning schools ranked by graduation rate, career outcomes, and value, from Seminole State College to University of Oklahoma-Norman Campus.

#1 ProgramU of Oklahoma-Norman
Avg Salary$89,340
Tuition From$3,210/yr
Job Growth+22%
On this page
Reviewed by Taylor Rupe, Founder & EditorSee methodology

15

Programs ranked

IPEDS 2024

$89,340

Oklahoma median machine learning salary

BLS OEWS 2024

79/100

Top program score

Hakia methodology

23%

U.S. job growth (2023–33)

BLS projections

Key Takeaways

Best machine learning degree programs: U of Oklahoma-Norman, U of Tulsa, Northeastern State

Ranked by graduation rates, program outcomes, and institutional quality

IPEDS 2024

Tuition ranges from $3,210 to $46,932/year

Seminole State College offers the most affordable option at $3,210/yr

IPEDS 2024

Machine Learning degree programs available: 2 associate's, 6 master's, 2 doctoral in Oklahoma

From community college pathways to advanced research degrees

IPEDS 2024

Oklahoma community college transfer can save 40-60% on total degree costs

2 associate's programs provide transfer pathways to bachelor's degrees

Education Commission of the States

Major employers: Paycom, Devon Energy, ONEOK, Love's Travel Stops

Tech hubs in Oklahoma City and Tulsa

Hakia Research 2026

Machine Learning degree programs near 50+ cities across Oklahoma

Search by city to find programs within 200 miles of your location

IPEDS 2024

Updated June 28, 2026

How we ranked Oklahoma Machine Learning programs

We rank 15 accredited machine learning programs in Oklahoma using IPEDS 2024 institutional data, BLS OEWS 2024 state salary data, and College Scorecard outcomes. A 4-factor weighted composite is normalized to a 0–100 score. Schools cannot pay for placement; rankings are produced algorithmically.

Program completions (35%)Graduation rate (25%)Selectivity (20%)Career outcomes (20%)
See full methodology

Are Machine Learning Degree Programs in Oklahoma Worth It?

Answer
$89,340
Yes. The best machine learning degree programs in Oklahoma deliver strong ROI, graduates earn $89,340 median salary with +22% job growth through 2032. In-state tuition averages $14,164/year.

Source: BLS OEWS May 2024

Machine Learning Degree Rankings in Oklahoma

Compare the top-ranked Machine Learning programs in Oklahoma by degree level. Tuition, graduation rate, and Hakia Score for every accredited program.

Best Associate's Machine Learning Programs in Oklahoma

2
Programs ranked
$4,020
Avg tuition/yr
0%
Avg grad rate

Program Landscape

Oklahoma offers 2 accredited associate's degree programs in machine learning, providing an affordable entry point into the technology field. The top-ranked programs include Seminole State College, Murray State College, which combine rigorous technical curriculum with practical skills training.

Costs & Value

Community colleges in Oklahoma offer these two-year programs at an average cost of $4,020/yr, significantly less than four-year university tuition. Students completing associate's degrees can pursue entry-level technical positions and transfer opportunities, with entry-level salaries averaging $49,137 in Oklahoma.

Career Pathways

Many programs feature guaranteed transfer agreements with Oklahoma's public universities, allowing students to complete their first two years at reduced cost before transferring to complete a bachelor's degree. The Oklahoma City, Tulsa, Norman areas offer particularly strong job markets for associate's degree holders, with employers like Paycom, Devon Energy, ONEOK hiring for technical support, junior development, and IT specialist positions.

Curriculum & Specializations

Programs typically include coursework in programming fundamentals, database management, networking basics, and software development. Among machine learning schools in Oklahoma, these associate's programs offer the best value for students beginning their machine learning degrees in Oklahoma.

Best Bachelor's Machine Learning Programs in Oklahoma

5
Programs ranked
$17,679
Avg tuition/yr
88%
Avg grad rate

Program Landscape

Oklahoma ranks among the nation's top destinations for machine learning education, with 5 accredited bachelor's degree programs across 3 public and 2 private institutions. The highest-ranked programs are U of Oklahoma-Norman, U of Tulsa, Northeastern State, recognized for academic excellence, research opportunities, and strong industry connections.

Career Outcomes

Graduates from Oklahoma machine learning programs earn a median salary of $75,939, 23% below the national average. The state's robust technology sector, anchored by the Oklahoma City, Tulsa, Norman metropolitan areas, provides abundant internship and employment opportunities with companies including Paycom, Devon Energy, ONEOK.

Costs & Value

Tuition ranges from $5,070 to $46,932 annually, with an average of $17,679/yr. Top programs maintain graduation rates above 88%, with the highest reaching 88%. Many programs hold ABET accreditation, the gold standard for computing education, ensuring curriculum meets rigorous industry standards.

Curriculum & Specializations

Students can choose from specializations including software engineering, cybersecurity, artificial intelligence, data science, and systems architecture. Strong industry partnerships provide access to co-op programs, capstone projects with real companies, and direct recruiting pipelines to Oklahoma's leading technology employers. For students seeking machine learning degrees in Oklahoma, these top-ranked machine learning schools offer the strongest combination of academic rigor and career preparation.

Best Master's Machine Learning Programs in Oklahoma

6
Programs ranked
$20,292
Avg tuition/yr
89%
Avg grad rate

Program Landscape

Oklahoma offers 6 master's degree programs in machine learning, designed for professionals seeking to advance into senior engineering, technical leadership, and specialized roles. The top programs, U of Oklahoma-Norman, U of Central Oklahoma, U of Tulsa, combine advanced technical training with research opportunities and leadership development.

Career Outcomes

Master's graduates in Oklahoma earn a median salary of $89,340, approximately 20-30% higher than bachelor's degree holders. The concentration of technology companies in Oklahoma City, Tulsa, Norman creates strong demand for graduate-level talent, with Paycom, Devon Energy, ONEOK actively recruiting from these programs.

Costs & Value

Program formats include traditional full-time study (typically 2 years), part-time options for working professionals (2-3 years), and accelerated tracks. Tuition averages $20,292/yr, with many employers offering tuition reimbursement for graduate education. Some programs offer thesis and non-thesis tracks, allowing students to focus on research or professional development based on their career goals.

Curriculum & Specializations

Curriculum covers advanced topics including machine learning, distributed systems, software architecture, and technical management. Many programs include practicum experiences, industry capstone projects, or consulting engagements that provide real-world application of advanced concepts. Among Oklahoma's machine learning schools at the graduate level, these programs stand out for both academic quality and career outcomes.

Show all 6 ranked programs
RankSchoolLocationTypeTuitionGrad RateHakia Score
#6Oral Roberts UniversityTulsa, OKPrivate$32,50096%41.3

Best Doctoral Machine Learning Programs in Oklahoma

2
Programs ranked
$26,001
Avg tuition/yr
88%
Avg grad rate

Program Landscape

Oklahoma is home to 2 doctoral programs in machine learning, preparing students for research positions, faculty appointments, and executive technical roles. Leading programs at U of Oklahoma-Norman, U of Tulsa are recognized for cutting-edge research, strong faculty publications, and competitive funding packages.

Career Outcomes

Doctoral graduates command premium salaries, with Oklahoma PhD holders earning a median of $111,675, reflecting the advanced expertise required for research and executive positions. The Oklahoma City, Tulsa, Norman region's research universities and corporate R&D centers provide extensive collaboration opportunities with industry leaders like Paycom, Devon Energy, ONEOK.

Costs & Value

PhD programs typically require 4-6 years of full-time study, including coursework, qualifying examinations, and original dissertation research. Many programs offer full funding through teaching or research assistantships, covering tuition and providing stipends of $25,000–$40,000 annually.

Curriculum & Specializations

Research strengths across Oklahoma programs include artificial intelligence, cybersecurity, human-computer interaction, systems, and theoretical computer science. For aspiring researchers pursuing machine learning degrees in Oklahoma, graduates go on to careers as university faculty, industry research scientists, or technical executives, contributing to advances in technology that impact millions of users worldwide.

Machine Learning Degree Costs & Tuition in Oklahoma

MetricValue
Average in-state tuition$14,164/year
Average out-of-state tuition$35,410/year
Community college tuition$3,541/year
4-year savings for residents$84,984
2+2 transfer pathway savings$21,246

Source: IPEDS 2024

Financial Aid & Scholarships for Machine Learning Students in Oklahoma

State Aid Programs

Oklahoma students pursuing machine learning degrees have access to comprehensive financial aid options at both state and federal levels. The primary source of federal aid is through FAFSA, which determines eligibility for Pell Grants, Federal Student Loans, and Work-Study programs (Federal Student Aid). Students should complete their FAFSA as early as possible to maximize aid packages. Additionally, Oklahoma offers a unique state-sponsored program called Oklahoma's Promise, which covers tuition at all Oklahoma public institutions for students enrolled in grades 8–10 who meet income and academic requirements (Oklahoma's Promise). This program significantly reduces out-of-pocket costs for eligible families.

Key Programs & Amounts

Individual institutions offering machine learning programs provide institutional scholarships and merit-based awards. The University of Oklahoma-Norman Campus, which leads the state with 133 completions, and Oklahoma State University-Main Campus both offer competitive scholarship packages for undergraduate and graduate machine learning students. Community colleges such as Oklahoma City Community College and Tulsa Community College provide affordable entry points with tuition as low as $2,976–$3,025 per year, making them attractive options for students seeking to transfer into four-year programs. Prospective students should visit their institution's financial aid office and consult the College Scorecard (College Scorecard) to compare net costs across programs. For comprehensive guidance, the Oklahoma State Regents for Higher Education (Oklahoma State Regents for Higher Education) provides resources and state-specific financing information.

Machine Learning Degree ROI Calculator, Oklahoma

Use our interactive ROI calculator to estimate your return on investment for a machine learning degree in Oklahoma. Enter your expected tuition costs, financial aid, and career goals to see projected payback periods and lifetime earnings. The calculator uses current salary data from BLS and tuition data from IPEDS to provide accurate estimates.

Machine Learning Degree ROI Calculator

Estimate your return on investment for a machine learning degree

Leave blank to use average cost for selected program type

20 years
10 years20 years30 years
20-Year ROI

+1064%

Net gain divided by total investment. ROI above 200% is considered excellent for education investments.

Net Gain

$1,967,896

Your additional lifetime earnings with this degree vs. working without one, minus the total investment.

Break-Even

5 years

Years until your cumulative earnings exceed total investment. Shorter programs often break even faster due to lower opportunity cost.

COL-Adjusted Salary

$147,619

Your starting salary adjusted for local cost of living. This shows real purchasing power compared to a $100K national baseline.

Why does break-even change with program type? Your "total investment" includes both tuition AND opportunity cost (foregone earnings while in school). A 4-year full-time public university (in-state) means 4 years of not earning a salary ($140,000 in opportunity cost). Shorter full-time programs may have higher tuition but lower total investment because you return to the workforce sooner.

Detailed Breakdown

How we calculate your degree ROI using real salary data

Total Investment$185,000

Tuition plus opportunity cost (earnings you miss while in school)

Program Cost (Tuition)$45,000

Direct cost of the degree program

Opportunity Cost$140,000

4 years × $35K/year foregone salary while studying full-time

20-Year Earnings (with degree)$3,003,304

Projected career earnings starting after graduation, with salary growth

20-Year Earnings (without degree)$850,408

What you'd earn working at $35K/year with 2% annual growth

Starting Salary (Austin, TX)$155,000

Median salary for this role in your selected location (BLS 2024)

Annualized Return5.5%

Your investment's compound annual growth rate (similar to stock market returns)

Data sources: BLS OEWS May 2024, IPEDS 2024. Calculations use median salaries, 3% discount rate, and assume salary growth declines from 6% to 2% over career. Individual results will vary. | Powered by Hakia.com

Machine Learning Salaries by Metro Area

Median annual salary in Oklahoma metro areas

Oklahoma City$98K
Tulsa$94K
Norman$89K
View data table
CategoryValue
Oklahoma City$98K
Tulsa$94K
Norman$89K

Source: BLS OEWS May 2024

Hakia.com

Top Employers Hiring Machine Learning Graduates in Oklahoma

Find machine learning jobs in Oklahoma. These major employers across Oklahoma metro areas are actively hiring machine learning degree holders. Click employer names to view current job openings.

Machine Learning Jobs in Oklahoma City

OK
Paycom
tech
Tinker Air Force Base
military
Devon Energy
energy
Love's Travel Stops
retail

Machine Learning Jobs in Tulsa

OK
ONEOK
energy
Oseberg
data
Tulsa Remote
tech-incentive
QuikTrip
retail

Transfer Pathways for Machine Learning Degrees in Oklahoma

State Transfer System

Oklahoma's transfer system is designed to help seamless progression from two-year to four-year institutions. The Oklahoma Course Transfer and Articulation (OCTA) system, managed by the Oklahoma State Regents for Higher Education, provides statewide course transfer agreements that guarantee course credit applicability across public institutions (Oklahoma Course Transfer and Articulation). With 28 two-year institutions and 31 four-year institutions across Oklahoma, students have abundant pathways to machine learning degrees. Community colleges like Oklahoma City Community College ($3,025 tuition), Tulsa Community College ($2,976 tuition), and Seminole State College ($3,210 tuition) offer associate's degrees in machine learning, providing affordable entry points and foundational coursework in mathematics, programming, and data structures that directly transfer to bachelor's programs.

How Transfers Work

Students completing associate's degrees at Oklahoma community colleges can transfer directly to bachelor's programs at universities like the University of Oklahoma-Norman Campus, Oklahoma State University-Main Campus, and Northeastern State University without losing credits or repeating coursework. The OCTA system ensures lower-division courses (general education and foundational technical courses) transfer with full credit recognition. Many four-year universities maintain formal articulation agreements with specific community colleges, simplifying advising and registration for transfer students. For students who participated in Oklahoma's Promise during 8th-10th grade, tuition is covered at public institutions, making the associate-to-bachelor's pathway exceptionally affordable (Oklahoma's Promise). Prospective transfer students should work with their community college advisors to confirm course alignments with their target university's machine learning bachelor's program requirements. Compare pathways with computer science and data analytics programs for additional options.

Why Pursue a Machine Learning Degree in Oklahoma?

Industry & Workforce

Oklahoma has established itself as a solid destination for machine learning education, with 17 institutions offering programs across all degree levels (IPEDS). The state awarded 204 bachelor's completions, 102 master's completions, 12 associate's completions, and 14 doctoral completions in machine learning during 2023, demonstrating strong pipeline development from entry-level to research-focused pathways. The University of Oklahoma-Norman Campus leads the state with 133 total completions, followed by the University of Tulsa with 72 completions, establishing these institutions as major hubs for machine learning talent development.

Salary Outlook

Oklahoma's major metropolitan areas, particularly Oklahoma City and Tulsa, host significant employers in healthcare, aviation, and defense sectors that increasingly rely on machine learning expertise. Major employers including Tinker Air Force Base, Integris Health, and American Airlines provide strong career pathways for graduates. Public in-state tuition at four-year institutions averages just $5,487 annually, significantly lower than the national average and making Oklahoma programs exceptionally affordable (College Scorecard). For students who participated in Oklahoma's Promise program as high school freshmen, tuition at public institutions is covered entirely, further reducing barriers to entry. Combined with strong academic programs and affordable pathways, Oklahoma offers compelling value for aspiring machine learning professionals.

Machine Learning Program Availability in Oklahoma

10 Programs
Oklahoma offers 10 accredited machine learning programs across public universities, private colleges, and community colleges. Top tech hubs include Oklahoma City, Tulsa, Norman.

Source: IPEDS 2024

Machine Learning Job Market & Salary Data in Oklahoma

Employment Outlook

Oklahoma's machine learning job market is experiencing steady growth, supported by a diverse employer base and strategic geographic positioning. The state's higher education institutions are producing qualified graduates across all degree levels, with 204 bachelor's completions, 102 master's completions, and 14 doctoral completions annually (IPEDS). This pipeline of talent feeds into a strong job market concentrated in major metropolitan areas, particularly Oklahoma City and Tulsa, where technology sectors are expanding rapidly. According to the Bureau of Labor Statistics, Oklahoma's technology and professional services sectors continue to show strong demand for machine learning specialists and data-driven professionals.

Salaries by Metro

The state's employment landscape benefits from several significant industry anchors. Tinker Air Force Base, Integris Health, American Airlines, and the University of Oklahoma collectively represent substantial employers investing in advanced analytics and machine learning capabilities. These organizations actively recruit from Oklahoma's universities, creating direct pathways for graduates from institutions like the University of Oklahoma-Norman Campus, which alone produces 133 machine learning completions annually. Career opportunities span healthcare technology, aerospace engineering, transportation logistics, and research sectors. For comprehensive salary and employment data specific to Oklahoma, students and professionals can reference the BLS Occupational Employment Statistics. Those interested in related fields may also explore Data Science in Oklahoma and Artificial Intelligence in Oklahoma programs, which complement machine learning career pathways.

Entry-Level (0-2 yrs)

New graduates and career changers

Senior (8+ yrs)

Technical leads and architects

Median Salary in Oklahoma$58,071$129,543
Typical RolesJunior Developer, AnalystStaff Engineer, Architect
Remote Work AccessLimitedCommon
Degree ExpectationBachelor's sufficientMaster's preferred

Online vs On-Campus Machine Learning Programs in Oklahoma

Online Programs

0 available in Oklahoma

On-Campus Programs

Traditional classroom experience

Typical Tuition$12,748/yr$14,164/yr
Schedule FlexibilitySelf-paced or asyncFixed schedule
NetworkingVirtual cohortsIn-person, career fairs
Best ForWorking professionalsTraditional students
Completion Time2-4 years (flexible)4 years (standard)

Compare Machine Learning Programs in Other States

Machine Learning Degree Programs in Oklahoma: FAQ

What are the best machine learning degree programs in Oklahoma?
The best machine learning degree programs in Oklahoma based on our methodology are: 1) University of Oklahoma-Norman Campus (88% graduation rate), 2) University of Tulsa, and 3) Northeastern State University. Our rankings weight graduation rates (25%), program completions (35%), selectivity (20%), and career outcomes (20%). Oklahoma offers 10 total accredited programs across 7 public and 3 private institutions. See our complete rankings for all 5 bachelor's programs.
How much do machine learning degree programs cost in Oklahoma?
Machine Learning degree program costs in Oklahoma vary significantly by institution type. In-state public tuition averages $14,164/year, while private institutions average $31,161/year. Community colleges offer the most affordable path at approximately $3,541/year for associate's degrees. The total 4-year cost ranges from $56,656 at public schools to $124,643 at private institutions before financial aid. Most students don't pay full sticker price, federal grants, state aid, and institutional scholarships can reduce costs by 30-60%.
What salary can machine learning degree graduates earn in Oklahoma?
Machine Learning professionals in Oklahoma earn a median salary of $89,340, which is competitive with the national average of $115,500. Entry-level positions typically start around $58,071, while senior roles exceed $129,543. Salaries vary by metro area: Oklahoma City ($98,274), Tulsa ($93,807) offer the highest compensation. Specialized roles like AI/ML engineers and cloud architects command premiums of 15-30% above median.
Are there online machine learning degree programs in Oklahoma?
Yes, Oklahoma offers 0 accredited online Machine Learning programs from state institutions. These programs award the same degree as on-campus options and include synchronous and asynchronous formats. Top-ranked online programs include offerings from various state universities. Online programs typically cost the same as on-campus tuition for in-state students. Many programs offer flexible scheduling for working professionals, with some offering accelerated completion in 2-3 years. Ensure any online program holds regional accreditation and ideally ABET accreditation for engineering programs.
What companies hire machine learning degree graduates in Oklahoma?
Major Machine Learning employers in Oklahoma include Paycom, Devon Energy, ONEOK, Love's Travel Stops, Tinker AFB. The Oklahoma City and Tulsa metro areas serve as primary tech hubs with thousands of open positions. Top employers maintain recruiting pipelines directly from Oklahoma universities, with many offering internship-to-hire programs. Beyond tech giants, opportunities exist in healthcare IT, financial services, defense contractors, and growing startups. Oklahoma's tech sector shows +22% projected job growth through 2033, outpacing most other industries.
Is a machine learning degree program worth it in Oklahoma?
A machine learning degree program in Oklahoma offers strong ROI with a $89,340 median salary and +22% projected job growth. At average in-state tuition of $14,164/year, graduates typically recoup their educational investment within 3-5 years. The degree opens doors to high-paying careers in software development ($100,954), data science, cybersecurity, and AI/ML. Beyond salary, benefits include job security, remote work flexibility, and clear advancement paths. Alternative paths like bootcamps exist for career changers, but bachelor's degrees provide broader career options and higher lifetime earnings.
How long do machine learning degree programs take in Oklahoma?
Standard completion times for machine learning degree programs in Oklahoma are: Associate's (2 years, 60 credits), Bachelor's (4 years, 120 credits), and Master's (1-2 years, 30-36 credits). However, actual timelines vary based on course load, transfer credits, and program format. Accelerated programs can compress a bachelor's to 3 years or a master's to 12 months. Part-time students typically need 5-6 years for a bachelor's degree. Oklahoma community colleges offer a cost-effective "2+2" path: complete your associate's in 2 years, then transfer to a Oklahoma university for the final 2 years of a bachelor's program.
What financial aid is available for machine learning degree students in Oklahoma?
Oklahoma machine learning degree students can access multiple financial aid sources. Federal aid includes Pell Grants (up to $7,395/year for qualifying students) and federal student loans. Oklahoma state grants provide additional support for residents attending in-state schools. Institutional scholarships from universities can significantly reduce costs, many schools offer merit-based awards for STEM students. Work-study programs and teaching/research assistantships (especially for graduate students) provide income while building experience. Complete the FAFSA by Oklahoma's priority deadline to maximize aid eligibility. Some employers also offer tuition reimbursement for employees pursuing CS degrees.

Data Sources

Institutional characteristics, completions, graduation rates

Oklahoma salary and employment data

Official University Websites

Program details and admissions information

Last Updated: June 26, 2026. Rankings based on IPEDS 2024 data. Salary data from BLS OEWS May 2024.

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Taylor Rupe

Taylor Rupe

Co-founder & Editor (B.S. Computer Science, Oregon State • B.A. Psychology, University of Washington)

Taylor combines technical expertise in computer science with a deep understanding of human behavior and learning. His dual background drives Hakia's mission: leveraging technology to build authoritative educational resources that help people make better decisions about their academic and career paths.

The research behind the rankings

In-depth Machine Learning program profiles in Oklahoma

Hand-researched detail on the top-ranked programs: degree pathways, research labs, industry partners, career outcomes, and admissions. Tap any school to expand.

Best Associate's Machine Learning programs

#1Seminole State CollegeSeminole, OK

Hakia insight. Seminole State's small classes mean your instructors know your transfer targets; they actively coordinate with Oklahoma State and other four-year programs to ensure your associate credits map cleanly into bachelor's-to-master's pipelines rather than forcing you to repeat coursework.

At the associate's level, small class sizes at Seminole State mean you get personalized mentorship from instructors who know each student's strengths and transfer goals. The machine learning and data analytics program here focuses on fundamentals—Python, SQL, statistics, and visualization—taught at a pace that lets questions get answered thoroughly. You're competing against fewer students for lab resources and instructor attention, which translates to deeper understanding before transferring. Most graduates move into OSU or UCO bachelor's programs with solid foundation skills and strong letters of recommendation from faculty who taught them directly.

Programs offered

  • Associate of Science in Machine Learning · 2 years · on-campus
  • Associate of Applied Science in Machine Learning · 2 years · online

Career outcomes

Top employers: Regional school districts, Oklahoma State University, Local government IT

#2Murray State CollegeTishomingo, OK

Hakia insight. Murray State's ongoing curriculum reviews with major Oklahoma universities guarantee your associate degree stays in sync with four-year institution requirements—you avoid the common transfer trap where community college ML credits don't count toward upper-level degree requirements.

At the associate's level, murray State's data and analytics program benefits from the college's strong partnership with major Oklahoma universities—your curriculum is regularly reviewed and updated with input from OSU and UCO, ensuring relevance to what employers actually hire for. Instruction emphasizes problem-solving and communication, not just technical syntax, because employers report that analytical thinking matters as much as coding ability. The college's flexibility with scheduling and strong student support services help you balance work and study. Graduates consistently transfer with junior standing and strong preparation for upper-level coursework.

Programs offered

  • Associate of Science in Machine Learning · 2 years · on-campus
  • Associate of Applied Science in Machine Learning · 2 years · online

Career outcomes

Top employers: Regional businesses, State government agencies, Healthcare systems, School districts

Best Bachelor's Machine Learning programs

#1University of Oklahoma-Norman CampusNorman, OK

Why it stands out. Embedded Certificate in Machine Learning and Artificial Intelligence. Accelerated BS/MS dual degree program

Hakia insight. OU's embedded ML/AI certificate and accelerated BS/MS dual-degree option (3.25 GPA trigger) let you complete a master's before most peers graduate; combined with proximity to OKC's startup ecosystem, you enter the job market with graduate-level credentials and industry connections.

The Bachelor of Science in Computer Science at OU provides a comprehensive curriculum with fourteen core computer science courses, nine mathematics courses starting with calculus, physics, and two additional natural sciences. Students select three upper-level electives for specialization. The program offers an Embedded Certificate in Machine Learning and Artificial Intelligence exclusively for CS majors, requiring specific AI/ML coursework. Students can participate in undergraduate research through CS 3450 or CS 3440 courses, honors research opportunities, and independent study options. An Accelerated Degree Program allows qualified students to earn both BS and MS degrees simultaneously, with up to 12 credit hours counting toward both degrees. The program requires maintaining a 3.25 GPA for accelerated program eligibility and offers CS 3910 Computer Science Internship as a technical elective option.

Programs offered

  • Bachelor of Science in Computer Science · 4 years · on-campus

Research labs & institutes

  • School of Computer Science — Machine learning, deep learning, computer vision, natural language processing

Career outcomes

Top employers: Google, Microsoft, Amazon

Admissions

GPA 3.25 (for accelerated program). Deadline January 15.

Location advantage: Norman proximity to Oklahoma City tech sector and startup community Access to OU's research computing infrastructure and partnerships

#2University of TulsaTulsa, OK

Why it stands out. University of Tulsa pairs rigorous machine learning education with direct industry connections to Tulsa's energy, fintech, and aerospace sectors, creating abundant apprenticeship and career opportunities.

Hakia insight. Tulsa's geographic anchoring to energy, fintech, and aerospace sectors creates a built-in apprenticeship pipeline—rather than competing nationally for internships, you're tapping into regional employers who actively recruit Tulsa graduates because they understand the curriculum.

At the bachelor's level, the University of Tulsa brings a distinctive blend of rigorous machine learning education and strong ties to energy, technology, and financial services industries that dominate Tulsa's economy. TU's computer science program—housed within the Henry Kendall College of Arts and Sciences—integrates machine learning across multiple specialized tracks, allowing students to concentrate in data science, AI systems, or computational intelligence depending on career goals. The curriculum emphasizes both theoretical depth and practical implementation, with courses progressing from foundational statistics and algorithms through advanced topics in neural networks, computer vision, and reinforcement learning. What sets TU apart is its location in Tulsa, historically an energy and aerospace hub now actively diversifying into fintech and energy technology innovation, creating abundant internship and employment opportunities in industries actively investing in machine learning. The school maintains partnerships with Tulsa-based companies and encourages student involvement in real-world ML projects from junior year onward. Faculty members are accomplished researchers with active grants and publications, and the close student-faculty ratio allows undergraduates to engage in research alongside graduate students. TU graduates report strong placement outcomes, with many entering roles as ML engineers, data scientists, or analytics specialists at regional and national firms. The combination of technical rigor, industry proximity, and supportive learning community makes TU a strong choice for students seeking both depth of knowledge and concrete career pathways.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online

Research labs & institutes

  • Collins College of Business (Analytics programs) — Business analytics, data science applications

Industry partners

Tulsa-based energy and technology companies

Career outcomes

Top employers: Energy sector companies, Fintech firms, Aerospace contractors

Accreditation & certifications

ABET accredited (Computer Science BS)

Location advantage: Tulsa energy sector and fintech ecosystem provides internship and employment pipeline Growing aerospace and technology innovation hub in the region Direct access to companies actively hiring machine learning professionals

#3Northeastern State UniversityTahlequah, OK

Why it stands out. Northeastern State emphasizes applied machine learning projects and regional employer partnerships, creating a direct pathway from coursework to practical data science roles.

Hakia insight. Northeastern State's emphasis on applied projects paired with regional partnerships creates a direct feedback loop: employers tell the program what skills they need, the faculty redesign projects around those demands, and you graduate with a portfolio of work that local healthcare systems and state agencies already recognize.

At the bachelor's level, northeastern State University integrates machine learning into its computer science and information systems programs with an emphasis on applied learning and community engagement. The program design reflects the institution's mission to connect students with practical experience early and often—machine learning courses emphasize lab work, data science projects, and real-world case studies rather than theory in isolation. Students develop competency across supervised and unsupervised learning, data preprocessing, model evaluation, and deployment. The curriculum balances depth in algorithms with breadth in applications, exposing students to use cases in business intelligence, predictive analytics, and automation. Faculty members maintain connections to regional employers and facilitate internship placements where students apply classroom learning to live problems. The program particularly benefits students interested in staying within Oklahoma or the surrounding region, as Northeastern State's connections span state government agencies, local healthcare systems, and regional businesses. Graduates commonly move into data analyst, business systems analyst, or junior data scientist positions. The supportive teaching-focused environment means students get substantive feedback and individualized guidance as they build their machine learning portfolios.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online

Location advantage: Tahlequah, Oklahoma; connections to state government and regional healthcare employers

#4Cameron UniversityLawton, OK

Why it stands out. Cameron makes machine learning education accessible and regionally relevant, embedding practical data science skills within a supportive, affordable learning environment.

Hakia insight. Cameron's dual BS/BA structure in a region dominated by agriculture and energy employers means graduates can tailor their technical depth while staying rooted in sectors actively hiring locally—a rare advantage for students seeking immediate regional placement.

At the bachelor's level, cameron University's approach to machine learning sits within a regional comprehensive institution serving southwestern Oklahoma, offering accessible pathways into data science and computational learning for students who might otherwise lack such opportunities. The program builds machine learning competency through a computer science major that incorporates practical data analysis, statistical modeling, and algorithmic foundations. Rather than separating ML as an elite track, Cameron threads these concepts across courses in algorithms, databases, and software engineering, ensuring every computer science graduate gains exposure to machine learning fundamentals. The institution's regional focus means students often work on applied projects tied to local industry needs—agriculture, energy, and small business optimization—giving them portfolio pieces grounded in real sectors. Faculty maintain active involvement in student learning with accessible office hours and project-based assessment. Graduates typically transition into data analyst, business intelligence, or junior data scientist roles across the region and beyond. The affordability and supportive learning environment make it a particularly strong option for first-generation and nontraditional students pursuing technical careers.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online

Location advantage: Southwestern Oklahoma regional hub; proximity to agricultural and energy sector employers

#5Oklahoma Christian UniversityEdmond, OK

Why it stands out. Oklahoma Christian integrates ethics-forward machine learning instruction within a personalized liberal arts computing environment, prioritizing mentorship and responsible AI development.

Hakia insight. Oklahoma Christian embeds ethics instruction into every machine learning course rather than treating it as an afterthought, positioning graduates to lead responsible AI projects in fintech and energy firms that increasingly demand this competency.

At the bachelor's level, oklahoma Christian's machine learning pathway emphasizes practical application within a strong liberal arts computing foundation. The program integrates machine learning coursework into a computer science curriculum that prioritizes hands-on projects and real-world problem-solving from the ground up. Students engage with foundational statistics, algorithms, and data structures before advancing into specialized ML courses covering supervised learning, neural networks, and predictive modeling. What distinguishes the experience is the emphasis on ethical AI and responsible machine learning practice—topics woven throughout rather than treated as an afterthought. The smaller class sizes enable direct faculty mentorship, allowing students to move beyond theory into implementation on actual datasets. The program connects students with internship opportunities in Oklahoma's growing tech sector, and graduates report strong placement in data science and analytics roles. The Christian perspective underlying the institution brings a distinctive lens to discussions around AI ethics and societal impact, which some students find meaningful as they develop their technical careers.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online

Location advantage: Oklahoma City metro area proximity to growing financial services and energy sector tech roles

Best Master's Machine Learning programs

#1University of Oklahoma-Norman CampusNorman, OK

Why it stands out. 100% online format designed for working professionals. Evening live sessions (7-8:30 PM CT once per week every other week)

Hakia insight. OU's evening cohort model (one 7-8:30 PM session every other week) attracts working professionals from Oklahoma City's startup scene, meaning your classmates are often your future collaborators rather than competitors.

The online Master of Science in Applied Computing from OU is a 30-credit program designed for working professionals, offering full flexibility with 100% online delivery and evening class schedules. Live sessions occur once per week every other week on weeknights from 7-8:30 PM CT. The program can be completed in as little as 12 months while maintaining full-time employment, with students taking two 8-week courses simultaneously each semester. Core coursework covers algorithms, software engineering, machine learning, cloud computing, and database technologies with elective specializations available. Students move through the program in small cohorts, building professional networks while gaining hands-on experience with modern development tools. The program is taught by expert faculty from OU's Gallogly College of Engineering and industry professionals. Tuition totals $30,450 with financial aid and scholarships available. Graduates are positioned for leadership roles with median salaries around $96,800, representing strong career advancement potential over bachelor's-level positions in the rapidly growing tech sector.

Programs offered

  • Master of Science in Applied Computing · 1-2 years · on-campus

Research labs & institutes

  • School of Computer Science — Machine learning, deep learning, computer vision, natural language processing

Career outcomes

$96,800 median salary

Admissions

GPA 3.25 (for accelerated program). Deadline January 15.

Location advantage: Norman proximity to Oklahoma City tech sector and startup community Access to OU's research computing infrastructure and partnerships

#2University of Central OklahomaEdmond, OK

Why it stands out. UCO integrates machine learning across multiple CS pathways with an emphasis on applied projects and real-world datasets, rather than offering it as an isolated specialization.

Hakia insight. UCO integrates machine learning across multiple CS tracks instead of siloing it as a specialization, so you're not pigeonholed into a single career path—you graduate with options in data engineering, systems, or applied research roles.

At the master's level, UCO's machine learning program emphasizes practical application through a curriculum that bridges classical computer science fundamentals with contemporary AI techniques. The program distinguishes itself by integrating machine learning across multiple departmental offerings rather than siloing it into a single track, allowing students to pursue specializations in areas like computer vision, natural language processing, and predictive analytics depending on their electives and capstone project choices. Faculty maintain active research interests in applied machine learning, and the program benefits from UCO's location in Edmond, which has grown into a secondary tech corridor for Oklahoma. Students engage in hands-on projects using industry-standard tools and frameworks, with opportunities to collaborate on real-world datasets from local businesses and nonprofits. The program's strength lies in making machine learning accessible to students from diverse technical backgrounds while maintaining rigor—graduates report strong placement in mid-market tech companies, healthcare analytics firms, and state government agencies. Capstone projects often form the foundation for job interviews, with many students able to showcase deployed models or novel applications rather than purely theoretical work.

Programs offered

  • Master of Science in Machine Learning · 1-2 years · on-campus
  • Master of Arts in Machine Learning · 1-2 years · online

Location advantage: Proximity to Edmond tech corridor Access to Oklahoma City metro area businesses

#3University of TulsaTulsa, OK

Why it stands out. University of Tulsa pairs rigorous machine learning education with direct industry connections to Tulsa's energy, fintech, and aerospace sectors, creating abundant apprenticeship and career opportunities.

Hakia insight. University of Tulsa's research labs and industry partnerships funnel students directly into energy, fintech, and aerospace apprenticeships before graduation—Tulsa's ecosystem creates a compressed pipeline from coursework to employment that larger programs can't replicate.

At the master's level, the University of Tulsa brings a distinctive blend of rigorous machine learning education and strong ties to energy, technology, and financial services industries that dominate Tulsa's economy. TU's computer science program—housed within the Henry Kendall College of Arts and Sciences—integrates machine learning across multiple specialized tracks, allowing students to concentrate in data science, AI systems, or computational intelligence depending on career goals. The curriculum emphasizes both theoretical depth and practical implementation, with courses progressing from foundational statistics and algorithms through advanced topics in neural networks, computer vision, and reinforcement learning. What sets TU apart is its location in Tulsa, historically an energy and aerospace hub now actively diversifying into fintech and energy technology innovation, creating abundant internship and employment opportunities in industries actively investing in machine learning. The school maintains partnerships with Tulsa-based companies and encourages student involvement in real-world ML projects from junior year onward. Faculty members are accomplished researchers with active grants and publications, and the close student-faculty ratio allows undergraduates to engage in research alongside graduate students. TU graduates report strong placement outcomes, with many entering roles as ML engineers, data scientists, or analytics specialists at regional and national firms. The combination of technical rigor, industry proximity, and supportive learning community makes TU a strong choice for students seeking both depth of knowledge and concrete career pathways.

Programs offered

  • Master of Science in Machine Learning · 1-2 years · on-campus
  • Master of Arts in Machine Learning · 1-2 years · online

Research labs & institutes

  • Collins College of Business (Analytics programs) — Business analytics, data science applications

Industry partners

Tulsa-based energy and technology companies

Career outcomes

Top employers: Energy sector companies, Fintech firms, Aerospace contractors

Accreditation & certifications

ABET accredited (Computer Science BS)

Location advantage: Tulsa energy sector and fintech ecosystem provides internship and employment pipeline Growing aerospace and technology innovation hub in the region Direct access to companies actively hiring machine learning professionals

#4Oklahoma State University-Main CampusStillwater, OK

Why it stands out. Thesis option (30 credits) vs non-thesis option (33 credits). Teaching and research assistantships available

Hakia insight. OSU's dual thesis/non-thesis tracks (30 vs. 33 credits) combined with teaching assistantships create two distinct paths: researchers can defend work while reducing costs, while practitioners can graduate faster without sacrificing rigor.

The M.S. in Computer Science at OSU offers both thesis (30 credits) and non-thesis (33 credits) tracks, allowing working professionals flexibility in their academic path. The program includes 12 core credit hours plus specialized electives in machine learning, data analytics, big data systems, and cyber-physical systems. Students can pursue research in increasingly important areas like AI, machine learning, and cybersecurity. The department offers teaching and research assistantships to qualified candidates, along with graduate teaching lab assistant positions. Recent graduates have secured positions at major employers including Amazon, Facebook, Dell, Koch Industries, Paycom, and Walmart. The program prepares students for industry advancement and potential Ph.D. entry, with faculty research strengths in data analytics, machine learning, AI, and cybersecurity. Many students receive summer internships, and companies actively recruit on campus.

Programs offered

  • Master of Science in Computer Science · 1-2 years · on-campus

Research labs & institutes

  • Oklahoma State University Advanced Power and Intelligent Systems Laboratory — Machine learning applications in power systems and smart grids
  • Unmanned Systems Research Laboratory — Computer vision and autonomous systems

Industry partners

ConocoPhillipsPhilipsAmerican Airlines

Career outcomes

Top employers: Amazon

Notable faculty

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Admissions

GPA 3.0 during last two years. Deadline April 1 (fall), September 1 (spring).

Accreditation & certifications

ABET accredited (Engineering)

Location advantage: Proximity to Oklahoma's energy sector headquarters and operations Regional hub for aerospace and defense contractors

#5Oklahoma Christian UniversityEdmond, OK

Why it stands out. Oklahoma Christian integrates ethics-forward machine learning instruction within a personalized liberal arts computing environment, prioritizing mentorship and responsible AI development.

Hakia insight. Oklahoma Christian's mentorship-first model in a 20-30 person cohort means faculty know your research direction by semester two, accelerating placement into roles aligned with your strengths rather than pushing graduates toward generic postings.

At the master's level, oklahoma Christian's machine learning pathway emphasizes practical application within a strong liberal arts computing foundation. The program integrates machine learning coursework into a computer science curriculum that prioritizes hands-on projects and real-world problem-solving from the ground up. Students engage with foundational statistics, algorithms, and data structures before advancing into specialized ML courses covering supervised learning, neural networks, and predictive modeling. What distinguishes the experience is the emphasis on ethical AI and responsible machine learning practice—topics woven throughout rather than treated as an afterthought. The smaller class sizes enable direct faculty mentorship, allowing students to move beyond theory into implementation on actual datasets. The program connects students with internship opportunities in Oklahoma's growing tech sector, and graduates report strong placement in data science and analytics roles. The Christian perspective underlying the institution brings a distinctive lens to discussions around AI ethics and societal impact, which some students find meaningful as they develop their technical careers.

Programs offered

  • Master of Science in Machine Learning · 1-2 years · on-campus
  • Master of Arts in Machine Learning · 1-2 years · online

Location advantage: Oklahoma City metro area proximity to growing financial services and energy sector tech roles

#6Oral Roberts UniversityTulsa, OK

Why it stands out. Oral Roberts uniquely integrates machine learning with ethics and responsible AI principles, training engineers who understand both algorithms and their societal implications.

Hakia insight. Oral Roberts uniquely pairs machine learning with engineering fundamentals and ethics training, creating graduates who can explain *why* an algorithm matters to non-technical stakeholders—a rare skill that commands premium roles in mission-driven organizations.

At the master's level, oral Roberts University's machine learning curriculum distinguishes itself through integration with the university's engineering and applied science programs, creating a distinctly systems-oriented perspective. Students learn machine learning not as a standalone discipline but as a powerful tool for solving engineering challenges: signal processing, predictive maintenance, autonomous systems, and control optimization. The program benefits from ORU's strengths in electrical engineering and mathematics, with machine learning coursework building atop solid foundations in linear systems, probability, and signal theory. Faculty connections span both academic research networks and industry application domains; collaborative projects often involve real datasets and problems from engineering firms, aerospace contractors, and technology companies. ORU's Christian context shapes an implicit emphasis on responsible AI development and the societal implications of algorithmic decision-making. The university provides access to modern computing resources and supports student participation in machine learning competitions and conferences. Graduates emerge with a distinctive profile: technical depth in mathematical foundations, comfort with physics-based and data-driven hybrid approaches, and experience translating business problems into machine learning formulations. This engineering-inflected preparation particularly benefits students targeting roles in robotics, autonomous vehicles, defense technology, and industrial automation—sectors where ORU has established recruiting relationships.

Programs offered

  • Master of Science in Machine Learning · 1-2 years · on-campus
  • Master of Arts in Machine Learning · 1-2 years · online

Accreditation & certifications

ABET accredited (Engineering)

Location advantage: Oklahoma City proximity to regional tech sector and mission-driven organizations

Best Doctoral Machine Learning programs

#1University of Oklahoma-Norman CampusNorman, OK

Why it stands out. Generous stipends and financial support for 4 years with 5th year funding available. Small selective program enabling close faculty-student interaction

Hakia insight. OU's MIS Ph.D. funds all admitted students for four years plus optional fifth-year support in a deliberately small cohort, a financial guarantee that allows you to pursue research questions over lucrative consulting distractions.

The MIS Ph.D. is a specialization within the Business Administration doctoral program focusing on information technology research in economic and social contexts. All admitted students receive generous stipends and financial support for four years, with fifth-year funding available for students in good standing. The program targets a four-year completion timeline. Students complete 90 credit hours including 47 hours of core coursework, pass a research readiness requirement involving an independent project for conference/journal submission, and complete a comprehensive General Exam covering coursework, MIS literature, and research design capabilities. Faculty research spans human-computer/robot interaction, IT governance, healthcare IT, cybersecurity, business analytics, and artificial intelligence using experimental, survey, machine learning, and inductive methodologies. The small, selective program enables close faculty-student collaboration. Students gain teaching experience through apprenticeships and independent instruction. Post-graduation, the program aims to develop academic colleagues equipped for research and teaching careers.

Programs offered

  • Ph.D. in Business Administration with Specialization in MIS · 4-6 years · on-campus

Research labs & institutes

  • School of Computer Science — Machine learning, deep learning, computer vision, natural language processing

Admissions

GPA 3.25 (for accelerated program). Deadline January 15.

Location advantage: Norman proximity to Oklahoma City tech sector and startup community Access to OU's research computing infrastructure and partnerships

#2University of TulsaTulsa, OK

Why it stands out. University of Tulsa pairs rigorous machine learning education with direct industry connections to Tulsa's energy, fintech, and aerospace sectors, creating abundant apprenticeship and career opportunities.

Hakia insight. University of Tulsa's doctoral students have direct pathways into Tulsa's energy and aerospace labs for research that's immediately applicable to industry problems, compressing the timeline from dissertation to funded role.

At the doctoral level, the University of Tulsa brings a distinctive blend of rigorous machine learning education and strong ties to energy, technology, and financial services industries that dominate Tulsa's economy. TU's computer science program—housed within the Henry Kendall College of Arts and Sciences—integrates machine learning across multiple specialized tracks, allowing students to concentrate in data science, AI systems, or computational intelligence depending on career goals. The curriculum emphasizes both theoretical depth and practical implementation, with courses progressing from foundational statistics and algorithms through advanced topics in neural networks, computer vision, and reinforcement learning. What sets TU apart is its location in Tulsa, historically an energy and aerospace hub now actively diversifying into fintech and energy technology innovation, creating abundant internship and employment opportunities in industries actively investing in machine learning. The school maintains partnerships with Tulsa-based companies and encourages student involvement in real-world ML projects from junior year onward. Faculty members are accomplished researchers with active grants and publications, and the close student-faculty ratio allows undergraduates to engage in research alongside graduate students. TU graduates report strong placement outcomes, with many entering roles as ML engineers, data scientists, or analytics specialists at regional and national firms. The combination of technical rigor, industry proximity, and supportive learning community makes TU a strong choice for students seeking both depth of knowledge and concrete career pathways.

Programs offered

  • Doctor of Philosophy in Machine Learning · 4-6 years · on-campus
  • Doctor of Science in Machine Learning · 4-6 years · online

Research labs & institutes

  • Collins College of Business (Analytics programs) — Business analytics, data science applications

Industry partners

Tulsa-based energy and technology companies

Career outcomes

Top employers: Energy sector companies, Fintech firms, Aerospace contractors

Accreditation & certifications

ABET accredited (Computer Science BS)

Location advantage: Tulsa energy sector and fintech ecosystem provides internship and employment pipeline Growing aerospace and technology innovation hub in the region Direct access to companies actively hiring machine learning professionals