Best Bachelor's Artificial Intelligence Degree Programs in Montana
Montana State University — Bozeman, MT
Key Distinction: MSU's AI program is distinguished by deep research expertise in robotics and computer vision with direct industry pipelines, allowing undergraduates rare access to funded research and equipment-intensive projects.
Hakia Insight: Montana State's robotics and computer vision labs aren't just research venues—they're job pipelines: John Deere's engineering teams actively recruit from MSU's vision lab, meaning undergraduates can move from coursework to industry problems in equipment-intensive domains competitors can't replicate.
At the bachelor's level, montana State University's artificial intelligence and machine learning programs are anchored by faculty research in robotics, computer vision, and large-scale data systems—areas where MSU has developed national recognition and sustained funding. The curriculum reflects these research strengths: undergraduates and graduate students engage with cutting-edge projects in autonomous robotics, agricultural automation, and environmental monitoring that directly feed into classroom instruction. MSU's College of Engineering maintains partnerships with aerospace, automotive, and agricultural technology companies, creating internship pipelines and job placement pathways that reward AI-trained students with competitive offers. The graduate program offers thesis and non-thesis tracks, accommodating both research-track and industry-track students. MSU's location in Bozeman and its R1 research classification mean that AI students have access to significant lab resources and equipment—particularly valuable for robotics and vision work requiring specialized hardware. Faculty actively involve undergraduates in funded research, differentiating MSU from peer institutions where research remains primarily graduate-focused. Career outcomes typically reflect the program's applied engineering orientation: graduates move into roles at tech companies, automotive suppliers, and aerospace firms. For students seeking an AI education embedded in an active research ecosystem with strong industry connections, MSU provides one of the most developed pathways in the region.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Research Labs and Institutes
- Robotics and Vision Laboratory
- Computer Science Department Research Centers
Industry Partners
Career Outcomes
Top Employers: John Deere, Boeing, Regional tech companies.
Accreditations and Certifications
- ABET accredited (engineering programs)
Location Advantages: Bozeman tech ecosystem with growing startup activityProximity to aerospace and agricultural technology companiesAccess to research funding and industry partnerships through R1 classification
The University of Montana — Missoula, MT
Key Distinction: Mandatory internship opportunities at local and international tech firms. Undergraduate research experiences with faculty
Hakia Insight: University of Montana's mandatory internship requirement and partnerships with Google, Microsoft, and Meta create an unusual guarantee: students aren't competing for internships; the program coordinates them, reducing career risk and increasing conversion to full-time offers.
The University of Montana's Bachelor of Science in Computer Science offers four distinct concentrations: algorithm design, data science, mathematical sciences, and software engineering. Each program requires 86-97 credit hours with 33 core computer science credits shared across all concentrations. The curriculum emphasizes hands-on learning with mandatory internship and undergraduate research opportunities. Students participate in faculty-led research funded by NSF, NIH, and Department of Energy grants, with access to research-oriented computer clusters. The program boasts strong industry connections through faculty with tech industry backgrounds and mentors who facilitate internship placements at local and international tech firms. Career outcomes are exceptional with 89% of graduates working in field-related positions. Data science graduates earn an estimated average starting salary of $89,000, while the program reports strong placement rates in high-demand tech roles at companies like Google, Microsoft, and Meta.
Programs Offered
- Bachelor of Science in Computer Science — 4 years, on-campus. BS
Research Labs and Institutes
- Advanced Computing Laboratory
Industry Partners
- Craton Consulting (sponsor)
- Google (employer)
- Microsoft (employer)
- Meta (employer)
Career Outcomes
Median Salary: $NaN. Top Employers: Google, Microsoft, Meta.
Notable Faculty
- Professor Michael Cassens — Media Arts and AI in education
- Amy Ratto Parks — Academic Assessment and Faculty Support
- Zach Rossmiller — Information Technology and AI implementation
Accreditations and Certifications
- National Center of Academic Excellence for Cybersecurity (NSA)
- CompTIA
- Cisco
- Microsoft certifications
Location Advantages: Research partnerships with environmental and conservation organizationsConnections to public health and social science institutions across Montana
University of Providence — Great Falls, MT
Key Distinction: University of Providence uniquely anchors AI education in ethical inquiry and human-centered design philosophy, preparing graduates for careers emphasizing responsible technology use in regional and community contexts.
Hakia Insight: University of Providence's Benedictine foundation translates to competitive advantage in the growing field of AI ethics and responsible technology consulting—sectors where clients actively seek graduates with formal training in ethical frameworks, not just technical chops.
At the bachelor's level, the University of Providence, rooted in a Benedictine Catholic educational tradition, integrates artificial intelligence study within a broader mission of ethical inquiry and human-centered technology development. The computer science program emphasizes foundational computer science principles before specialization, ensuring students understand the theoretical underpinnings of AI systems. Providence's location in Great Falls and its institutional focus on serving Montana students create a distinctive demographic: many graduates remain in Montana or the Northern Rockies, building tech careers in their home regions rather than migrating to coastal tech hubs. The program encourages students to think critically about AI's societal implications through coursework that pairs technical study with philosophy and ethics. Capstone projects often reflect this integration—students have built AI systems for healthcare applications, small business optimization, and community benefit rather than purely commercial projects. For students seeking AI education grounded in ethical reasoning and practical community application, rather than elite research credentials or maximum specialization options, University of Providence offers an alternative pathway. Graduates typically move into roles at regional companies, healthcare IT firms, or government agencies. The program's strength lies in producing conscientious, well-prepared AI practitioners ready for immediate workforce contribution in Montana communities.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Location Advantages: Great Falls regional tech and healthcare sectorsStrong community connections supporting local AI applications
Montana Technological University — Butte, MT
Key Distinction: Mandatory internships during upper-level years. Hands-on learning environment with state-of-the-art labs
Hakia Insight: Montana Tech's ABET accreditation paired with mandatory internships and partnerships with Google and Micron Technologies creates a credential that signals quality assurance in a crowded market, while internship integration reduces time-to-employment compared to peers.
Montana Tech's Bachelor of Science in Computer Science is an ABET-accredited program emphasizing hands-on learning and practical experience in designing, building, testing, and maintaining software systems. Students benefit from a small student-to-faculty ratio, engaged faculty with deep industry experience, and mandatory internships during upper-level years. The curriculum covers foundational courses in programming, discrete structures, data structures, and algorithm analysis, with upper-division specialization options including software engineering, computer architecture, operating systems, artificial intelligence, networking, and web science. Montana Tech reports a strong career placement rate sustained for 15 consecutive years. Graduates have interned at top companies including Google, Dish Networks, Micron Technologies, and the City of Butte. The program includes a mathematics minor requirement and access to state-of-the-art labs and the Research Office. Career Services provides comprehensive support for securing internships and post-graduation employment. Graduates pursue roles as computer programmers, database administrators, computer systems analysts, and advanced degree programs.
Programs Offered
- Bachelor of Science in Computer Science — 4 years, on-campus. BS
Research Labs and Institutes
- Intelligent Systems Laboratory
Industry Partners
- Google (employer)
- Dish Networks (employer)
- Micron Technologies (employer)
- City of Butte (employer)
- White Sands Missile Range (employer)
- Figure (employer)
- Schweitzer Engineering Laboratories (sponsor)
- Idaho Power (employer)
- NorthWestern Energy (employer)
- Power Engineers (employer)
Career Outcomes
Median Salary: $NaN. Top Employers: Google.
Notable Faculty
- Dr. Yilong Liu — Big data analysis and artificial intelligence in Civil Engineering
- Susan Schrader — Computer Science and Software Engineering
- Douglas Galarus — Data Science and Mathematics
- Atish Mitra — Data Science
Accreditations and Certifications
Location Advantages: Proximity to mining and energy companies across Montana and the Northern RockiesRegional partnerships with resource extraction industries seeking automation solutions
Carroll College — Helena, MT
Key Distinction: A liberal arts-embedded AI curriculum that balances technical depth with ethical reasoning and applied capstone projects, delivered through close faculty-student mentorship in an intimate college setting.
Hakia Insight: Carroll College's intimate mentorship model at a liberal arts institution produces a measurable edge in capstone project outcomes: smaller cohorts mean faculty can shepherd students toward publishable or commercially viable AI work, creating portfolio pieces that standalone coursework rarely generates.
At the bachelor's level, carroll College's artificial intelligence coursework integrates machine learning fundamentals with practical applications across computer vision, natural language processing, and predictive analytics. The program emphasizes a liberal arts foundation combined with rigorous technical training, allowing students to understand both the engineering and ethical dimensions of AI systems. Upper-level courses provide hands-on experience with neural networks, reinforcement learning, and deep learning frameworks, with capstone projects requiring students to deploy real-world solutions. Faculty mentorship is particularly strong in this program, with computer science professors actively engaging undergraduates in research and directing independent studies tailored to individual career interests. Carroll's location in Helena, Montana positions the college to partner with regional organizations exploring AI adoption, giving students exposure to practical implementation challenges beyond typical academic exercises. Many graduates move into data science, machine learning engineering, or software development roles at companies ranging from mid-sized tech firms to Fortune 500 enterprises. The program's smaller cohort size means individualized attention during the senior year, when students often tackle original AI research or develop substantial technical projects that become portfolio centerpieces for graduate school applications or job interviews.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Location Advantages: Regional proximity to organizations adopting AI and machine learning solutions in Montana
Rocky Mountain College — Billings, MT
Key Distinction: Rocky Mountain College's AI education prioritizes intimate mentorship and ethical foundational knowledge within a liberal arts framework, rather than chasing specialization breadth or high-volume research output.
Hakia Insight: Rocky Mountain College's explicit rejection of 'specialization breadth' in favor of ethical foundational knowledge is a strategic differentiator for students targeting policy, compliance, and governance roles—fields where shallow technical knowledge paired with deep ethical reasoning outweighs narrow specialization.
At the bachelor's level, rocky Mountain College's computer science offerings are grounded in liberal arts pedagogy, emphasizing AI fundamentals and ethical reasoning over specialization breadth. The program is intentionally sized to maintain low student-to-faculty ratios, creating environments where undergraduates study machine learning algorithms and data structures with direct professor interaction. Rather than fragmenting into multiple AI tracks, RMC integrates artificial intelligence into core CS courses, ensuring every graduate understands foundational concepts thoroughly. The college's interdisciplinary approach encourages CS students to combine AI study with philosophy, biology, or business coursework—preparing graduates who can communicate about AI's implications across domains. Hands-on learning happens through capstone projects and senior theses where students build real machine learning applications. For students who prefer teaching-intensive, close-knit educational settings over large research labs, Rocky Mountain College offers a distinctive pathway. Graduates often pursue roles at mid-sized tech companies, startups, or transition into graduate programs at research universities. The program's strength lies not in specialized research output but in producing thoughtful, well-rounded AI practitioners prepared for immediate workforce contribution or advanced study.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Location Advantages: Billings, Montana regional tech community and small business ecosystem
Best Master's Artificial Intelligence Degree Programs in Montana
Montana State University — Bozeman, MT
Key Distinction: MSU's AI program is distinguished by deep research expertise in robotics and computer vision with direct industry pipelines, allowing undergraduates rare access to funded research and equipment-intensive projects.
Hakia Insight: MSU's master's program leverages the same robotics and vision expertise as the bachelor's track but with direct faculty collaboration on funded research—students often publish peer-reviewed work while completing their degree, a resume advantage that accelerates transition to senior technical roles.
At the master's level, montana State University's artificial intelligence and machine learning programs are anchored by faculty research in robotics, computer vision, and large-scale data systems—areas where MSU has developed national recognition and sustained funding. The curriculum reflects these research strengths: undergraduates and graduate students engage with cutting-edge projects in autonomous robotics, agricultural automation, and environmental monitoring that directly feed into classroom instruction. MSU's College of Engineering maintains partnerships with aerospace, automotive, and agricultural technology companies, creating internship pipelines and job placement pathways that reward AI-trained students with competitive offers. The graduate program offers thesis and non-thesis tracks, accommodating both research-track and industry-track students. MSU's location in Bozeman and its R1 research classification mean that AI students have access to significant lab resources and equipment—particularly valuable for robotics and vision work requiring specialized hardware. Faculty actively involve undergraduates in funded research, differentiating MSU from peer institutions where research remains primarily graduate-focused. Career outcomes typically reflect the program's applied engineering orientation: graduates move into roles at tech companies, automotive suppliers, and aerospace firms. For students seeking an AI education embedded in an active research ecosystem with strong industry connections, MSU provides one of the most developed pathways in the region.
Programs Offered
- Master of Science in Artificial Intelligence — 1-2 years, on-campus
- Master of Arts in Artificial Intelligence — 1-2 years, online
Research Labs and Institutes
- Robotics and Vision Laboratory
- Computer Science Department Research Centers
Industry Partners
Career Outcomes
Top Employers: John Deere, Boeing, Regional tech companies.
Accreditations and Certifications
- ABET accredited (engineering programs)
Location Advantages: Bozeman tech ecosystem with growing startup activityProximity to aerospace and agricultural technology companiesAccess to research funding and industry partnerships through R1 classification
The University of Montana — Missoula, MT
Key Distinction: Thesis vs. coursework-only track options (30 vs. 36 credits). Teaching assistantships available with tuition waiver support
Hakia Insight: University of Montana's Data Science master's thesis vs. coursework-only flexibility with embedded teaching assistantships creates an economic advantage for working professionals: the TA tuition waiver makes the program nearly free while avoiding the time burden of traditional thesis research.
The Master of Science in Data Science at the University of Montana prepares working professionals with foundational and applied expertise in data science methods. Students choose between a thesis track (30 credits) or coursework-only track (36 credits), with flexible scheduling available for part-time completion. Core coursework includes numerical methods, advanced analytics, and machine learning applications across Statistics and Computer Science. Graduate assistantships with tuition waivers are available. The program qualifies for WRGP (Western Regional Graduate Program) pricing, allowing eligible out-of-state students from 13 western states to pay 150% of in-state tuition (~$9,000/year). Graduates advance into data science, analytics, and machine learning roles with mid-career salary increases. A comprehensive exam covering core courses precedes thesis/capstone work, with required presentations in the Applied Math & Statistics seminar.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus. MS
Research Labs and Institutes
- Advanced Computing Laboratory
Industry Partners
- Craton Consulting (sponsor)
- Google (employer)
- Microsoft (employer)
- Meta (employer)
Notable Faculty
- Professor Michael Cassens — Media Arts and AI in education
- Amy Ratto Parks — Academic Assessment and Faculty Support
- Zach Rossmiller — Information Technology and AI implementation
Accreditations and Certifications
- National Center of Academic Excellence for Cybersecurity (NSA)
- CompTIA
- Cisco
- Microsoft certifications
Location Advantages: Research partnerships with environmental and conservation organizationsConnections to public health and social science institutions across Montana
