University campus in South Dakota
Updated June 28, 2026

Best Machine Learning Degree Programs in South Dakota, 2026 Rankings

Compare the top machine learning colleges in South Dakota. 6 accredited machine learning schools ranked by graduation rate, career outcomes, and value, from Lake Area Technical College to Augustana University.

#1 ProgramAugustana
Avg Salary$84,320
Tuition From$3,720/yr
Job Growth+22%
On this page
Reviewed by Taylor Rupe, Founder & EditorSee methodology

6

Programs ranked

IPEDS 2024

$84,320

South Dakota median machine learning salary

BLS OEWS 2024

69/100

Top program score

Hakia methodology

23%

U.S. job growth (2023–33)

BLS projections

Key Takeaways

Best machine learning degree programs: Augustana, Dakota State, U of Sioux Falls

Ranked by graduation rates, program outcomes, and institutional quality

IPEDS 2024

Tuition ranges from $3,720 to $38,150/year

Lake Area Technical College offers the most affordable option at $3,720/yr

IPEDS 2024

Machine Learning degree programs available: 1 associate's, 2 master's in South Dakota

From community college pathways to advanced research degrees

IPEDS 2024

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

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

Education Commission of the States

Major employers: Raven Industries, Daktronics, First Premier Bank, Sanford Health

Tech hubs in Sioux Falls and Rapid City

Hakia Research 2026

Machine Learning degree programs near 15+ cities across South Dakota

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

IPEDS 2024

Updated June 28, 2026

How we ranked South Dakota Machine Learning programs

We rank 6 accredited machine learning programs in South Dakota 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 South Dakota Worth It?

Answer
$84,320
Yes. The best machine learning degree programs in South Dakota deliver strong ROI, graduates earn $84,320 median salary with +22% job growth through 2032. In-state tuition averages $14,207/year.

Source: BLS OEWS May 2024

Machine Learning Degree Rankings in South Dakota

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

Best Associate's Machine Learning Programs in South Dakota

1
Programs ranked
$3,720
Avg tuition/yr
0%
Avg grad rate

Program Landscape

South Dakota offers 1 accredited associate's degree programs in machine learning, providing an affordable entry point into the technology field. The top-ranked programs include Lake Area Technical College, which combine rigorous technical curriculum with practical skills training.

Costs & Value

Community colleges in South Dakota offer these two-year programs at an average cost of $3,720/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 $46,376 in South Dakota.

Career Pathways

Many programs feature guaranteed transfer agreements with South Dakota's public universities, allowing students to complete their first two years at reduced cost before transferring to complete a bachelor's degree. The Sioux Falls, Rapid City, Aberdeen areas offer particularly strong job markets for associate's degree holders, with employers like Raven Industries, Daktronics, First Premier Bank 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 South Dakota, these associate's programs offer the best value for students beginning their machine learning degrees in South Dakota.

Best Bachelor's Machine Learning Programs in South Dakota

3
Programs ranked
$22,035
Avg tuition/yr
91%
Avg grad rate

Program Landscape

South Dakota ranks among the nation's top destinations for machine learning education, with 3 accredited bachelor's degree programs across 1 public and 2 private institutions. The highest-ranked programs are Augustana, Dakota State, U of Sioux Falls, recognized for academic excellence, research opportunities, and strong industry connections.

Career Outcomes

Graduates from South Dakota machine learning programs earn a median salary of $71,672, 27% below the national average. The state's robust technology sector, anchored by the Sioux Falls, Rapid City, Aberdeen metropolitan areas, provides abundant internship and employment opportunities with companies including Raven Industries, Daktronics, First Premier Bank.

Costs & Value

Tuition ranges from $7,616 to $38,150 annually, with an average of $22,035/yr. Top programs maintain graduation rates above 91%, with the highest reaching 93%. 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 South Dakota's leading technology employers. For students seeking machine learning degrees in South Dakota, these top-ranked machine learning schools offer the strongest combination of academic rigor and career preparation.

Best Master's Machine Learning Programs in South Dakota

2
Programs ranked
$7,708
Avg tuition/yr
95%
Avg grad rate

Program Landscape

South Dakota offers 2 master's degree programs in machine learning, designed for professionals seeking to advance into senior engineering, technical leadership, and specialized roles. The top programs, South Dakota School of Mi..., Northern State, combine advanced technical training with research opportunities and leadership development.

Career Outcomes

Master's graduates in South Dakota earn a median salary of $84,320, approximately 20-30% higher than bachelor's degree holders. The concentration of technology companies in Sioux Falls, Rapid City, Aberdeen creates strong demand for graduate-level talent, with Raven Industries, Daktronics, First Premier Bank 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 $7,708/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 South Dakota's machine learning schools at the graduate level, these programs stand out for both academic quality and career outcomes.

Machine Learning Degree Costs & Tuition in South Dakota

MetricValue
Average in-state tuition$14,207/year
Average out-of-state tuition$35,518/year
Community college tuition$3,552/year
4-year savings for residents$85,244
2+2 transfer pathway savings$21,310

Source: IPEDS 2024

Financial Aid & Scholarships for Machine Learning Students in South Dakota

State Aid Programs

South Dakota offers exceptional financial advantages for machine learning students, starting with the state's unique tax structure. As one of the few states without state income tax, South Dakota residents benefit from greater take-home earnings after graduation, a significant long-term financial advantage. Beyond this structural benefit, students can access the South Dakota Opportunity Scholarship, a merit-based award program specifically designed for South Dakota high school graduates pursuing higher education. This scholarship, administered through the South Dakota Board of Regents, provides meaningful support for students at participating institutions across the state.

Key Programs & Amounts

Federal financial aid remains a cornerstone of affordability for machine learning students in South Dakota. The Free Application for Federal Student Aid (FAFSA) opens access to federal grants, loans, and work-study opportunities available through Federal Student Aid. Most South Dakota institutions participating in federal aid programs accept FAFSA applications and can guide students through the process. Additionally, many of South Dakota's public universities and technical colleges offer institutional scholarships and assistantships tied to academic merit and demonstrated financial need. The South Dakota Board of Regents Transfer Policy also ensures that students beginning their studies at lower-cost community colleges can seamlessly transfer credits to four-year institutions, maximizing both affordability and pathway flexibility for machine learning degree completion.

Machine Learning Degree ROI Calculator, South Dakota

Use our interactive ROI calculator to estimate your return on investment for a machine learning degree in South Dakota. 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 South Dakota metro areas

Sioux Falls$93K
Rapid City$89K
Aberdeen$84K
View data table
CategoryValue
Sioux Falls$93K
Rapid City$89K
Aberdeen$84K

Source: BLS OEWS May 2024

Hakia.com

Top Employers Hiring Machine Learning Graduates in South Dakota

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

Machine Learning Jobs in Sioux Falls

SD
Raven Industries
tech
Citibank
finance
SDN Communications
telecom
Sanford Health
healthcare

Machine Learning Jobs in Rapid City

SD
Ellsworth Air Force Base
military
Black Hills Corporation
energy

Transfer Pathways for Machine Learning Degrees in South Dakota

State Transfer System

South Dakota's strong transfer system facilitates seamless progression from associate degree programs to bachelor's degree completion. The South Dakota Board of Regents Transfer Policy ensures that coursework completed at the state's 7 two-year institutions, including Lake Area Technical College, which produced 31 machine learning completions in 2023, transfers directly to the state's 18 four-year institutions. This guaranteed transfer framework eliminates credit loss and allows students to begin machine learning education at an affordable community college before completing advanced coursework at universities like South Dakota State University, Dakota State University, or the University of South Dakota. The transfer policy significantly reduces overall degree costs while maintaining educational quality and program rigor.

How Transfers Work

Students pursuing associate-to-bachelor's pathways benefit from articulation agreements that explicitly outline which courses satisfy bachelor's degree requirements. Lake Area Technical College's machine learning program provides excellent preparation for university-level study, with courses covering programming fundamentals, data structures, and introductory machine learning concepts. Upon transfer, students can pursue bachelor's degrees at public institutions with average in-state tuition of $6,250 annually, among the nation's most affordable options (College Scorecard). The South Dakota Opportunity Scholarship further supports transfer students, offering merit-based funding. For additional pathway options, explore data science, data analytics, and artificial intelligence programs in South Dakota, which share foundational coursework with machine learning and offer complementary transfer pathways (IPEDS).

Why Pursue a Machine Learning Degree in South Dakota?

Industry & Workforce

South Dakota offers a compelling educational landscape for machine learning students, with 8 institutions across the state providing programs at multiple degree levels (IPEDS). The state's machine learning offerings span from associate degrees through doctoral programs, with 31 completions at the associate level, 13 at the bachelor's level, and 13 at the master's level in 2023. Leading institutions like South Dakota State University, Dakota State University, and the University of South Dakota consistently rank among the nation's best bachelor's programs and most affordable options, making quality education accessible to diverse student populations.

Salary Outlook

A significant financial advantage awaits students in South Dakota: the state has no state income tax, reducing long-term financial burden after graduation. Public four-year institutions average just $6,250 in annual in-state tuition, far below national averages (College Scorecard). South Dakota's major tech hubs in Sioux Falls and Rapid City, home to employers like Sanford Health, Avera Health, and Citibank, create abundant internship and career opportunities. Students can leverage the South Dakota Opportunity Scholarship, a merit-based award for state high school graduates, to further reduce educational costs. For those seeking flexibility, online bachelor's options from South Dakota State University and the University of South Dakota provide pathway alternatives. Related fields like artificial intelligence, data science, and computer science in South Dakota further expand educational opportunities.

South Dakota Take-Home Pay Advantage

$0 State Income Tax
South Dakota has no state income tax. At the median machine learning salary of $84,320, that keeps roughly $4,216 more in your pocket annually compared to states with a 5% income tax rate.

Source: South Dakota Department of Revenue

Machine Learning Job Market & Salary Data in South Dakota

Employment Outlook

South Dakota's machine learning job market is supported by a diverse employer landscape concentrated in key metropolitan areas. According to the Bureau of Labor Statistics, the state offers competitive opportunities for ML professionals across multiple sectors. Major hiring centers include Sioux Falls and Rapid City, which serve as regional tech hubs attracting talent in artificial intelligence and data science roles. The state's lack of income tax provides an additional financial advantage for ML professionals, allowing them to retain more of their earnings compared to neighboring states.

Salaries by Metro

The machine learning workforce in South Dakota benefits from educational pathways at 8 institutions offering ML programs, ranging from associate's to doctoral degrees (IPEDS). The associate's level produces the highest completion volume at 31 completions, primarily through Lake Area Technical College, while bachelor's programs across 4 institutions contribute 13 completions annually. For those seeking advanced credentials, 2 institutions offer master's degrees with 13 completions. This educational infrastructure directly feeds the state's technology talent pipeline, with graduates positioned to meet growing demand in healthcare IT, financial services, and agricultural technology sectors. Explore related fields like Data Science in South Dakota and Artificial Intelligence in South Dakota to understand the broader ML ecosystem.

Entry-Level (0-2 yrs)

New graduates and career changers

Senior (8+ yrs)

Technical leads and architects

Median Salary in South Dakota$54,808$122,264
Typical RolesJunior Developer, AnalystStaff Engineer, Architect
Remote Work AccessLimitedCommon
Degree ExpectationBachelor's sufficientMaster's preferred

Online vs On-Campus Machine Learning Programs in South Dakota

Online Programs

0 available in South Dakota

On-Campus Programs

Traditional classroom experience

Typical Tuition$12,786/yr$14,207/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 South Dakota: FAQ

What are the best machine learning degree programs in South Dakota?
The best machine learning degree programs in South Dakota based on our methodology are: 1) Augustana University (highly ranked), 2) Dakota State University, and 3) University of Sioux Falls. Our rankings weight graduation rates (25%), program completions (35%), selectivity (20%), and career outcomes (20%). South Dakota offers 6 total accredited programs across 4 public and 2 private institutions. See our complete rankings for all 3 bachelor's programs.
How much do machine learning degree programs cost in South Dakota?
Machine Learning degree program costs in South Dakota vary significantly by institution type. In-state public tuition averages $14,207/year, while private institutions average $31,255/year. Community colleges offer the most affordable path at approximately $3,552/year for associate's degrees. The total 4-year cost ranges from $56,828 at public schools to $125,022 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 South Dakota?
Machine Learning professionals in South Dakota earn a median salary of $84,320, which is competitive with the national average of $115,500. Entry-level positions typically start around $54,808, while senior roles exceed $122,264. Salaries vary by metro area: Sioux Falls ($92,752), Rapid City ($88,536) 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 South Dakota?
Yes, South Dakota 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 South Dakota?
Major Machine Learning employers in South Dakota include Raven Industries, Daktronics, First Premier Bank, Sanford Health, Avera. The Sioux Falls and Rapid City metro areas serve as primary tech hubs with thousands of open positions. Top employers maintain recruiting pipelines directly from South Dakota universities, with many offering internship-to-hire programs. Beyond tech giants, opportunities exist in healthcare IT, financial services, defense contractors, and growing startups. South Dakota's tech sector shows +22% projected job growth through 2033, outpacing most other industries.
Is a machine learning degree program worth it in South Dakota?
A machine learning degree program in South Dakota offers strong ROI with a $84,320 median salary and +22% projected job growth. At average in-state tuition of $14,207/year, graduates typically recoup their educational investment within 3-5 years. The degree opens doors to high-paying careers in software development ($95,282), 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 South Dakota?
Standard completion times for machine learning degree programs in South Dakota 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. South Dakota community colleges offer a cost-effective "2+2" path: complete your associate's in 2 years, then transfer to a South Dakota university for the final 2 years of a bachelor's program.
What financial aid is available for machine learning degree students in South Dakota?
South Dakota 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. South Dakota 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 South Dakota'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

South Dakota 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.

Was this ranking helpful for your college search?
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 South Dakota

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

#1Lake Area Technical CollegeWatertown, SD

Hakia insight. Lake Area Technical College's associate program emphasizes hands-on lab work over theory, a deliberate trade-off that produces graduates ready for immediate deployment in regional healthcare data analysis and agricultural tech roles—exactly where rural employers face the steepest talent shortages.

At the associate's level, if you're looking to build real machine learning skills without getting buried in theory, Lake Area Technical College's program emphasizes hands-on lab work and direct application to local industry needs. You'll work with current tools like Python, data visualization platforms, and cloud services while staying connected to South Dakota's growing tech sector. Many graduates move into data analyst or junior machine learning technician roles at regional companies, or they transfer to four-year programs at South Dakota State or USD with a solid technical foundation. The program's strength lies in its practical focus—you're not just learning concepts, you're deploying them in actual projects that employers recognize.

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: Local healthcare systems (data analysis), Regional financial institutions, South Dakota tech startups, Manufacturing and agricultural companies adopting data analytics

Best Bachelor's Machine Learning programs

#1Augustana UniversitySioux Falls, SD

Why it stands out. Augustana's machine learning program is distinctive for its embedded emphasis on ethical application, domain expertise integration, and training students to bridge technical and stakeholder communication.

Hakia insight. Augustana's explicit focus on ethical application and domain expertise integration moves beyond the common 'ML for ML's sake' model; students leave trained to design systems that work for healthcare providers or nonprofits, not just train models in isolation.

At the bachelor's level, augustana's approach to machine learning education emphasizes cross-disciplinary collaboration, integrating the field with domain expertise in business analytics, social science research, and environmental modeling. The program sits within a liberal arts context that encourages students to ask not just "how does this algorithm work?" but "what problems does it solve, and for whom?" This framing leads to capstone projects that often partner with nonprofits, municipalities, and regional enterprises tackling real problems—predictive resource allocation, climate impact modeling, or workforce trend analysis. Students begin with Python-based fundamentals and progress through supervised learning, unsupervised learning, and deep learning, but with consistent emphasis on data ethics, interpretability, and stakeholder communication. The faculty blend computer science expertise with applied domain knowledge, creating an environment where students learn to translate between technical implementation and business or policy impact. Graduates often pursue roles in business intelligence, data science in the nonprofit and public sectors, and data-driven consulting—sectors where the ability to communicate findings to non-technical audiences and situate models in broader organizational strategy is highly valued.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online
#2Dakota State UniversityMadison, SD

Why it stands out. Undergraduate research opportunities. Computer club participation

Hakia insight. Dakota State's three dedicated research labs (AI, business analytics, health informatics) and direct partnerships with SAS and IBM mean undergraduates can co-author publishable work in tools that industry employers actually use—a curriculum designed backward from hiring requirements rather than forward from theory.

The Bachelor of Science in Computer Science with Artificial Intelligence and Machine Learning Specialization at Dakota State University provides a comprehensive foundation in programming, algorithms, and data analysis. Students build expertise in AI/ML systems that power modern technology like smartphones and autonomous vehicles. The 120-credit program offers flexible start terms (Fall, Spring, Summer) and both on-campus and online formats. The curriculum emphasizes real-world problem solving through large dataset analysis and intelligent systems development. Students can enhance their learning through undergraduate research opportunities, computer clubs, and academic competition teams in programming and cybersecurity. The program prepares graduates for high-demand roles in emerging technologies, with career paths including data scientist, software engineer, and machine learning engineer positions.

Programs offered

  • Bachelor of Science in Computer Science with Artificial Intelligence and Machine Learning Specialization · 4 years · on-campus

Research labs & institutes

  • AI Lab (Artificial Intelligence Lab) — Pioneering scientific research in AI and applying AI to emerging challenges in smart applications
  • CBAR Lab (Center for Business Analytics Research) — Business analytics and data-driven decision-making processes
  • CAHIT (Center for the Advancement of Health Information Technology) — AI in healthcare, digital health technologies, and healthcare data analytics
  • Deep Red Lab — Identifying security flaws using sophisticated attacker techniques
  • MADRID Lab (Malware Discovery Reversing and Disruption) — Technical analysis of suspect, unknown, or malicious software
  • PATRIOT Lab (Protection and Threat Research for the Internet of Things) — Security of IoT devices, communication networks, and cloud services
  • PriLab — Data privacy research and solution building
  • Success Lab — Software development and exploration of emerging technologies
  • VERONA Lab — Vulnerability research and software exploitation
  • AdapT Lab — Technology for barrier-free-living for people with disabilities
  • DigForCE Lab (Digital Forensics for Cyber Enforcement) — Digital forensics and data analysis from digital devices
  • Smart Home Lab — Smart home and energy-management research

Industry partners

PREMIER BankcardFirst PREMIER BankSASIBMEMC2FBIDepartment of Homeland SecurityNSARobloxEpicU.S. Department of State

Notable faculty

  • Dr. Ashley Podhradsky (Cybersecurity and rural cybersecurity)
  • Dr. Rebecca Hoey (Academic leadership and AI program development)
  • Mark Spanier (Emerging Technologies)
  • Austin O'Brien (Computer Science)
  • Tom Halverson (Computer Science)
  • David Zeng (Information Systems and Business Analytics)

Admissions

GPA 3.0 minimum. Deadline Fall: Aug 15, Spring: Nov 30, Summer: Apr 30.

Accreditation & certifications

ABET

Location advantage: Access to South Dakota's growing fintech and defense technology sector

#3University of Sioux FallsSioux Falls, SD

Why it stands out. University of Sioux Falls delivers machine learning education through intimate faculty mentorship and project-based learning, prioritizing depth of understanding over enrollment scale.

Hakia insight. University of Sioux Falls' deliberate commitment to small cohorts and mentorship over scale creates an unusual advantage: faculty can guide students through domain selection and thesis projects with the attention typically reserved for PhD advising, compressing what takes 2+ years elsewhere into an undergraduate capstone.

At the bachelor's level, the machine learning program at University of Sioux Falls prioritizes small cohort learning and mentorship, allowing faculty to guide students through both foundational theory and applied implementation with direct involvement. Rather than assembling machine learning as a specialization tacked onto computer science, the program sequences its courses to build intuition for algorithmic thinking before diving into neural architectures and production systems. Students engage in collaborative research projects with faculty across semesters, gaining experience in problem formulation, experimentation design, and iteration—skills often underemphasized in larger programs. The curriculum balances mathematical rigor (linear algebra, probability, optimization) with practical tooling (TensorFlow, scikit-learn, data pipeline construction), and students complete a capstone that involves either a faculty research collaboration or an industry partnership. Class sizes rarely exceed 30 students, which means personalized feedback on projects and direct access to faculty for questions about career development or research interests. Graduates transition into data science roles, ML engineering positions, and graduate programs, with notable success in securing internships at regional and national tech companies before graduation.

Programs offered

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

Best Master's Machine Learning programs

#1South Dakota School of Mines and TechnologyRapid City, SD

Why it stands out. Thesis vs non-thesis track options available. Graduate assistantships available for thesis track students

Hakia insight. South Dakota Mines' thesis/non-thesis flexibility, combined with national lab partnerships (Sandia, NASA, SpaceX), lets working professionals earn a degree on their schedule while maintaining access to government research problems—a rare combination that attracts engineers mid-career without forcing full-time enrollment.

The Mining Engineering & Management MS at South Dakota Mines offers both thesis and non-thesis tracks, providing flexibility for working professionals. The thesis option (33 credits) includes 0-6 research credits and focuses on original research, while the non-thesis option (33 credits) emphasizes coursework and professional development. The program is available both on-campus and online, accommodating part-time schedules. Graduate assistantships are available for thesis track students, providing financial support and tuition assistance. The non-thesis track is not eligible for assistantships but offers greater scheduling flexibility. Students work with industry partners including Caterpillar and the Sanford Underground Research Facility. An accelerated master's option is available for qualified students. The program prepares graduates for leadership roles in mining operations, project management, and environmental management within the mineral industry.

Programs offered

  • Mining Engineering & Management, MS · 1-2 years · on-campus

Research labs & institutes

  • Department of Electrical Engineering and Computer Science — High-performance computing, materials informatics, and computational geosciences
  • Machine Learning and Intelligent Systems Lab (MLISL) — Multi-modal spatiotemporal data analysis, advanced algorithms for fusing multi-modal data, dimensionality reduction, pattern classification, and multi-modal forecasting methods
  • Data-Driven Innovations for Health, Technology, and Society Lab (DDIHTS) — AI, machine learning, natural language processing, and human-computer interaction for public discourse analysis and emotion-aware assistive technologies
  • Smart Grid and Energy Research Lab (SGERL) — Future power and energy systems, renewable energy integration, rural power grid development, demand-side management, smart meter data analysis
  • Cyber-Physical Systems Lab — Mobile robots and real-time systems for self-driving cars, traffic systems, and implantable devices
  • Virtual Reality Lab — Virtual reality, augmented reality, extended reality (XR), cybersickness research, and usability development
  • Antennas and Microwave Sensing Lab — Microwave sensing and direction-finding systems for civilian and military applications
  • Arbegast Materials Processing and Joining Laboratory (AMP) — Materials processing and joining, includes Additive Manufacturing Laboratory
  • Composites and Polymer Engineering Laboratory (CAPE) — Composites and polymer engineering research
  • Vanderboom Laboratory for Entrepreneurial Research (V-Lab) — Research expansion and entrepreneurial activities
  • Engineering and Mining Experiment Station (EMES) — Analytical instrumentation for student and faculty research

Industry partners

Sandia National LaboratoriesNVIDIANASASpaceXBoeingLockheed MartinBlue OriginSanford Underground Research FacilityDakota BioWorx

Notable faculty

  • Dr. Nirmalya Thakur (Artificial intelligence and human behavior)
  • Dr. Jeffrey McGough (Electrical Engineering and Computer Science)
  • Randy Hoover (Data Science and Engineering)

Admissions

GPA 3.0. Deadline February 1 for Fall, August 1 for Spring.

Accreditation & certifications

ABET accredited

Location advantage: Proximity to Sandia National Laboratories Access to national laboratory research partnerships

#2Northern State UniversityAberdeen, SD

Why it stands out. Northern State offers undergraduate computer science fundamentals in a close-knit, mentor-rich environment, ideal for students who later pursue specialized machine learning study elsewhere.

Hakia insight. Northern State's master's program functions as a deliberate pipeline builder rather than a comprehensive ML destination—graduates typically transition into specialized doctoral or industry programs, making it ideal for students who need stronger foundational scaffolding before diving into cutting-edge research.

At the master's level, northern State University's computer science program provides foundational training in computation and data analysis within a small, undergraduate-centered institution. The program focuses on building solid grounding in programming, discrete mathematics, and algorithms—the bedrock on which machine learning competence is built. While machine learning is not offered as a formal graduate specialization, strong students have opportunities to explore the topic through independent study and senior capstone projects. Faculty maintain active interests in applied computing and often incorporate data-driven problems into coursework. The environment at NSU emphasizes direct faculty access and collaborative learning; computer science majors work closely with instructors on projects and research. Graduates typically pursue further graduate study in machine learning, data science, or computer science programs at larger institutions, or move into entry-level data analyst and software engineering positions. For students seeking a smaller college experience with personalized mentorship before specializing in ML at the graduate level, NSU provides a solid entry point.

Programs offered

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