Best Bachelor's Machine Learning Degree Programs in Idaho
Boise State University — Boise, ID
Key Distinction: Senior Design Project capstone (CS 481 or 483). Specialized machine learning curriculum with multiple elective machine learning courses
Hakia Insight: Boise State's capstone requirement (CS 481/483) isn't ceremonial; paired with Micron Technology and Kount partnerships, it becomes a direct hiring funnel where senior design projects double as extended job interviews for the state's embedded systems and fintech sectors.
The Bachelor of Science in Computer Science with Machine Learning Emphasis at Boise State University is a 123-credit, four-year program designed to prepare students for careers in machine learning and data science. The curriculum emphasizes foundational computer science principles combined with specialized machine learning coursework, including CS 334 (Algorithms of Machine Learning) and multiple elective machine learning courses in the third and fourth years. Students complete a senior design project (CS 481 or 483) in their final semester, providing hands-on experience with real-world applications. The program integrates data science foundations early (CS 133, CS 233) and progresses through advanced topics including algorithms, software engineering, operating systems, and programming languages. General education requirements ensure broad intellectual development alongside technical specialization. The program prepares graduates for positions in data science, machine learning engineering, and software development roles across technology companies and data-driven organizations.
Programs Offered
- Bachelor of Science in Computer Science, Machine Learning Emphasis — 4 years, on-campus. BS
Research Labs and Institutes
- Electronic and Neuromorphic Device and Systems (ENDS) Lab
- Cantley Research Group
- Johnson Research Group
- Electronics and Natural Sciences Research Lab
- LPiNS-Lab
- Transport Characterization Lab
- Idaho Microfabrication Laboratory
Industry Partners
- Knowm, Inc. (collaborator)
- Micron Technology (sponsor)
- Kount (sponsor)
Career Outcomes
Median Salary: $NaN. Top Employers: Amazon, AppDetex (Tracer), Boeing, Boise Inc, Clearwater Analytics, Cradlepoint, First to File, Google, Healthwise, HP, Idaho National Lab, Kount (Equifax), MarkMonitor, Micron, Microsoft, Paylocity, Qualcomm, Vynyl.
Notable Faculty
- Dr. Edoardo Serra — Machine learning, data mining, and artificial intelligence
- Dr. Casey Kennington — Natural language processing, machine learning, and artificial intelligence
- Dr. Jun Zhuang — Machine learning, artificial intelligence, and quantum computing
- Dr. Tim Andersen — Machine learning and computer science education
- Dr. Francesca Spezzano — Social media mining and data science
- Dr. Neal Bangerter — Machine learning applications in medical imaging
- Dr. Kurtis Cantley — Neuromorphic engineering and machine learning hardware
- Dr. Aykut Satici — Robotics and machine learning
Location Advantages: Hundreds of software and tech companies in Boise areaProximity to Idaho's growing tech ecosystem
Idaho State University — Pocatello, ID
Key Distinction: ISU provides interdisciplinary machine learning education and research through collaboration between Computer Science and Mathematics departments, with unique applications in computational physics, bioinformatics, and energy systems through the SUPER agreement with Idaho National Laboratory.
Hakia Insight: ISU's SUPER agreement with Idaho National Laboratory unlocks research access in computational physics and energy systems—domains where machine learning expertise is acute but credential-scarce, positioning graduates as rare specialists in high-security, high-impact roles.
At the bachelor's level, ISU's Computer Science program offers machine learning research opportunities in partnership with Idaho National Laboratory and prepares students for leadership roles in the competitive Computer Science industry. The program welcomes students of all nationalities and backgrounds with flexible thesis-based and non-thesis tracks.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
- Idaho National Laboratory (collaborator)
- Idaho EPSCoR (sponsor)
Notable Faculty
- Dr. Paul Bodily — Machine Learning, Artificial Intelligence, Natural Language Processing, Computational Creativity
- Dr. Mostafa Fouda — Machine Learning, Deep Learning, Internet of Things, Cybersecurity, AI
- Dr. Minhaz Zibran — Applied Artificial Intelligence and Machine Learning, Software Engineering, Cybersecurity
- Dr. Maryam Bagherian — Machine learning algorithms using metric learning for high-dimensional multi-modal data structures
- Dr. Emanuele Zappala — Machine learning, operator learning, numerical methods for ML problems
- Dr. Shu-Chuan Chen — Bioinformatics, data mining, mixture models for high-dimensional clustering
Location Advantages: Partnership with Idaho National Laboratory for advanced research opportunitiesAccess to energy and environmental research through SUPER agreement
Brigham Young University-Idaho — Rexburg, ID
Key Distinction: A Brigham Young University program combining rigorous computer science fundamentals with embedded internship placements and strong Utah tech-corridor connections, producing job-ready machine learning practitioners.
Hakia Insight: BYU-Idaho's embedded internship structure (distinct from cooperative education) means students alternate between classroom and work in shorter cycles, creating more frequent calibration points to industry expectations than traditional semester-long internships.
At the bachelor's level, BYU-Idaho's machine learning education unfolds within a structured computer science program that emphasizes breadth in foundational computing alongside specialized electives in artificial intelligence and data science. The curriculum progresses from core programming and discrete mathematics through machine learning-focused courses covering supervised and unsupervised learning, deep neural networks, and real-world applications in classification, regression, and computer vision. A defining feature is the university's semester system paired with regular capstone and internship opportunities—students gain industry experience before graduation, often returning with project portfolios already developed in professional settings. The university's strong connections to the Mormon community and regional LDS-affiliated companies create an informal recruitment pipeline into roles at companies with significant operations in Utah's tech corridor. Faculty maintain current expertise in neural networks, natural language processing, and optimization algorithms, and actively support undergraduate research and applied projects. Graduates are well-positioned for data scientist and machine learning engineer positions at major tech employers, startups in the Salt Lake City area, and established corporations expanding their AI capabilities. The program's practical orientation—combining classroom theory with structured internship placements—prepares students to make immediate contributions in industrial machine learning roles.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages: Proximity to Salt Lake City tech ecosystem and Utah startup communityAccess to major tech employer presence in region (Adobe, Google, Microsoft, Facebook, Amazon offices nearby)
University of Idaho — Moscow, ID
Key Distinction: The program combines cutting-edge AI and machine learning research with practical applications in agriculture, healthcare, and environmental monitoring, supported by nationally recognized faculty and state-of-the-art robotics facilities.
Hakia Insight: University of Idaho's AI Ethics and Inquiry Center plus cyber-physical systems labs mean machine learning coursework extends into robotics and infrastructure security—applied domains where traditional CS programs stop at theory, giving Idaho graduates measurable hands-on depth.
At the bachelor's level, university of Idaho offers both undergraduate and graduate AI/ML certificate programs with flexible online options, leveraging faculty expertise across multiple disciplines to provide hands-on experience with machine learning models including data classification and clustering for real-world problem solving.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- AI Ethics and Inquiry Center (AIEI)
- Schweitzer Cyber-Physical Systems Security Lab
- Center for Intelligent Industrial Robotics
- Assistive Robotics Lab
- Polymorphic Games Studio
- Institute for Modeling Complex Interactions (IMCI)
Industry Partners
- Schweitzer Engineering Laboratories (SEL) (partner)
- Federal Highway Administration (sponsor)
- Idaho Transportation Department (sponsor)
- Port of Lewiston (partner)
- Pullman-Moscow Regional Airport (partner)
- J-U-B Engineers (partner)
- NASA (sponsor)
- National Science Foundation (sponsor)
- National Institute of Health (sponsor)
- National Institute of General Medical Sciences (sponsor)
Notable Faculty
- Dr. Steve Wang — Computer Science, Department leadership
- Dr. Jim Alves-Foss — Cybersecurity and cyber-physical systems
- Dr. John Shovic — Intelligent industrial robotics
- Dr. Terry Soule — Artificial intelligence and evolutionary computation
- Dr. Alex Vakanski — Machine learning and computer vision
- Dr. Constantinos Kolias — Cybersecurity and network security
Admissions
GPA Requirement: 3.0.
Accreditations and Certifications
Location Advantages: Access to Integrated Research and Innovation Center (IRIC) world-class interdisciplinary research facilityProximity to Schweitzer Engineering Laboratories for industry partnerships
Northwest Nazarene University — Nampa, ID
Key Distinction: A faith-aligned computer science program that uniquely integrates machine learning with ethics and societal impact training, appealing to students seeking responsible AI careers.
Hakia Insight: Northwest Nazarene's dual BS/BA structure in machine learning is rare among faith-aligned institutions, but the genuine differentiator is mandatory ethics coursework embedded throughout—students graduate with both technical credentials and documented training in responsible AI deployment, a credential increasingly requested by employers screening for values alignment.
At the bachelor's level, northwest Nazarene University's approach to machine learning sits within a computer science program that values both technical depth and ethical reasoning in AI development. Students engage with machine learning primarily through upper-level electives in data science and artificial intelligence, complemented by coursework in statistics, linear algebra, and advanced algorithms. The program reflects the university's broader mission by incorporating discussion of algorithmic bias, responsible AI design, and the societal implications of machine learning systems—topics increasingly important to employers in tech and consulting. Faculty mentorship is central; students pursuing machine learning research or capstone projects work one-on-one with advisors on questions ranging from computer vision applications to time-series forecasting. The Nampa, Idaho location connects students to the Boise metropolitan area's expanding tech ecosystem, providing internship pathways at regional software companies and data-driven startups. Graduates typically move into data analyst, junior data scientist, or machine learning engineer roles at mid-sized companies, consulting firms, and government contractors who value both technical competence and thoughtful problem-solving.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages: Proximity to Boise tech community and regional software/data science employers
Best Master's Machine Learning Degree Programs in Idaho
Boise State University — Boise, ID
Key Distinction: Three culminating activity options: thesis, project, or capstone course. Graduate assistantships available
Hakia Insight: Boise State's three-exit-option model (thesis, project, or capstone) appeals to working professionals, but the understated advantage lies in its graduate assistantship pipeline into Micron Technology and Knowm, Inc.—companies conducting neuromorphic computing research that directly flows from the ENDS Lab where students often work.
Boise State's Master of Science in Computer Science offers flexible customization across machine learning, cybersecurity, data science, software engineering, and other specializations. Students choose between thesis, project, or capstone culminating activities. The program comprises a minimum of 30 credits and typically completes in two years for full-time students, with part-time options available. Graduate assistantships are available to support students. The program emphasizes cutting-edge research opportunities, small classes led by highly regarded faculty, and frequent student-faculty interaction. Graduates develop expertise in applying computer science theory to technical solutions, delivering technical communications, and self-directed learning—positioning them for advanced roles in industry and research.
Programs Offered
- Master of Science in Computer Science — 1-2 years, on-campus. MS
Research Labs and Institutes
- Electronic and Neuromorphic Device and Systems (ENDS) Lab
- Cantley Research Group
- Johnson Research Group
- Electronics and Natural Sciences Research Lab
- LPiNS-Lab
- Transport Characterization Lab
- Idaho Microfabrication Laboratory
Industry Partners
- Knowm, Inc. (collaborator)
- Micron Technology (sponsor)
- Kount (sponsor)
Career Outcomes
Median Salary: $NaN. Top Employers: Amazon, AppDetex (Tracer), Boeing, Boise Inc, Clearwater Analytics, Cradlepoint, First to File, Google, Healthwise, HP, Idaho National Lab, Kount (Equifax), MarkMonitor, Micron, Microsoft, Paylocity, Qualcomm, Vynyl.
Notable Faculty
- Dr. Edoardo Serra — Machine learning, data mining, and artificial intelligence
- Dr. Casey Kennington — Natural language processing, machine learning, and artificial intelligence
- Dr. Jun Zhuang — Machine learning, artificial intelligence, and quantum computing
- Dr. Tim Andersen — Machine learning and computer science education
- Dr. Francesca Spezzano — Social media mining and data science
- Dr. Neal Bangerter — Machine learning applications in medical imaging
- Dr. Kurtis Cantley — Neuromorphic engineering and machine learning hardware
- Dr. Aykut Satici — Robotics and machine learning
Location Advantages: Hundreds of software and tech companies in Boise areaProximity to Idaho's growing tech ecosystem
University of Idaho — Moscow, ID
Key Distinction: The program combines cutting-edge AI and machine learning research with practical applications in agriculture, healthcare, and environmental monitoring, supported by nationally recognized faculty and state-of-the-art robotics facilities.
Hakia Insight: University of Idaho's AI Ethics and Inquiry Center (AIEI) is one of few ML programs with dedicated ethics infrastructure, but its genuine edge is application-specific: students work on cyber-physical systems security and intelligent robotics projects tied to Schweitzer Engineering Labs' real infrastructure, meaning thesis work solves problems for Fortune 500 customers before graduation.
At the master's level, university of Idaho offers both undergraduate and graduate AI/ML certificate programs with flexible online options, leveraging faculty expertise across multiple disciplines to provide hands-on experience with machine learning models including data classification and clustering for real-world problem solving.
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 and Institutes
- AI Ethics and Inquiry Center (AIEI)
- Schweitzer Cyber-Physical Systems Security Lab
- Center for Intelligent Industrial Robotics
- Assistive Robotics Lab
- Polymorphic Games Studio
- Institute for Modeling Complex Interactions (IMCI)
Industry Partners
- Schweitzer Engineering Laboratories (SEL) (partner)
- Federal Highway Administration (sponsor)
- Idaho Transportation Department (sponsor)
- Port of Lewiston (partner)
- Pullman-Moscow Regional Airport (partner)
- J-U-B Engineers (partner)
- NASA (sponsor)
- National Science Foundation (sponsor)
- National Institute of Health (sponsor)
- National Institute of General Medical Sciences (sponsor)
Notable Faculty
- Dr. Steve Wang — Computer Science, Department leadership
- Dr. Jim Alves-Foss — Cybersecurity and cyber-physical systems
- Dr. John Shovic — Intelligent industrial robotics
- Dr. Terry Soule — Artificial intelligence and evolutionary computation
- Dr. Alex Vakanski — Machine learning and computer vision
- Dr. Constantinos Kolias — Cybersecurity and network security
Admissions
GPA Requirement: 3.0.
Accreditations and Certifications
Location Advantages: Access to Integrated Research and Innovation Center (IRIC) world-class interdisciplinary research facilityProximity to Schweitzer Engineering Laboratories for industry partnerships
Idaho State University — Pocatello, ID
Key Distinction: Thesis vs. non-thesis track options for flexibility. Thesis track emphasizes cutting-edge research and original contributions publishable in the field
Hakia Insight: Idaho State's thesis-track option emphasizes publishable research, yet the concrete advantage emerges through its Idaho National Laboratory partnership—students can access one of the nation's premier energy and environmental research facilities, positioning them for federal contractor roles or advanced PhD tracks with classified research experience.
Idaho State University's Master of Science in Computer Science program prepares working professionals for leadership roles in the evolving tech landscape, including machine learning, cybersecurity, blockchain, and augmented reality. The program offers two distinct tracks: a thesis-based option emphasizing cutting-edge research and original contributions, and a non-thesis/course-only track for those prioritizing coursework flexibility. Both tracks accommodate working professionals through part-time study options. The thesis track requires identifying a faculty advisor by the end of the first semester and completing original research under committee supervision, culminating in a public defense. The non-thesis track allows completion through coursework alone within the designated timeframe. Graduate students benefit from close mentorship, access to faculty research opportunities, and development of technical writing, leadership, and industrial-scale software design skills. While specific salary advancement data and assistantship stipends are not detailed on this page, the program emphasizes career preparation for both industry and academic advancement.
Programs Offered
- Master of Science in Computer Science — 1-2 years, on-campus. MS
Industry Partners
- Idaho National Laboratory (collaborator)
- Idaho EPSCoR (sponsor)
Notable Faculty
- Dr. Paul Bodily — Machine Learning, Artificial Intelligence, Natural Language Processing, Computational Creativity
- Dr. Mostafa Fouda — Machine Learning, Deep Learning, Internet of Things, Cybersecurity, AI
- Dr. Minhaz Zibran — Applied Artificial Intelligence and Machine Learning, Software Engineering, Cybersecurity
- Dr. Maryam Bagherian — Machine learning algorithms using metric learning for high-dimensional multi-modal data structures
- Dr. Emanuele Zappala — Machine learning, operator learning, numerical methods for ML problems
- Dr. Shu-Chuan Chen — Bioinformatics, data mining, mixture models for high-dimensional clustering
Location Advantages: Partnership with Idaho National Laboratory for advanced research opportunitiesAccess to energy and environmental research through SUPER agreement
Best Doctoral Machine Learning Degree Programs in Idaho
University of Idaho — Moscow, ID
Key Distinction: The program combines cutting-edge AI and machine learning research with practical applications in agriculture, healthcare, and environmental monitoring, supported by nationally recognized faculty and state-of-the-art robotics facilities.
Hakia Insight: While University of Idaho's doctoral robotics facilities are well-equipped, the program's real distinctive edge is its tri-lab structure: students can cross between the AI Ethics Center, Schweitzer Cyber-Physical Systems Lab, and the Center for Intelligent Industrial Robotics, creating rare flexibility to tackle problems spanning ethics, security, and hardware—a combination most doctoral programs silo.
At the doctoral level, university of Idaho offers both undergraduate and graduate AI/ML certificate programs with flexible online options, leveraging faculty expertise across multiple disciplines to provide hands-on experience with machine learning models including data classification and clustering for real-world problem solving.
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 and Institutes
- AI Ethics and Inquiry Center (AIEI)
- Schweitzer Cyber-Physical Systems Security Lab
- Center for Intelligent Industrial Robotics
- Assistive Robotics Lab
- Polymorphic Games Studio
- Institute for Modeling Complex Interactions (IMCI)
Industry Partners
- Schweitzer Engineering Laboratories (SEL) (partner)
- Federal Highway Administration (sponsor)
- Idaho Transportation Department (sponsor)
- Port of Lewiston (partner)
- Pullman-Moscow Regional Airport (partner)
- J-U-B Engineers (partner)
- NASA (sponsor)
- National Science Foundation (sponsor)
- National Institute of Health (sponsor)
- National Institute of General Medical Sciences (sponsor)
Notable Faculty
- Dr. Steve Wang — Computer Science, Department leadership
- Dr. Jim Alves-Foss — Cybersecurity and cyber-physical systems
- Dr. John Shovic — Intelligent industrial robotics
- Dr. Terry Soule — Artificial intelligence and evolutionary computation
- Dr. Alex Vakanski — Machine learning and computer vision
- Dr. Constantinos Kolias — Cybersecurity and network security
Admissions
GPA Requirement: 3.0.
Accreditations and Certifications
Location Advantages: Access to Integrated Research and Innovation Center (IRIC) world-class interdisciplinary research facilityProximity to Schweitzer Engineering Laboratories for industry partnerships
Boise State University — Boise, ID
Key Distinction: Boise State's machine learning program is distinguished by its interdisciplinary approach spanning computer science, electrical engineering, and data science, with strong industry connections in Idaho's growing tech sector.
Hakia Insight: Boise State's claim of top-20% performance on standardized tests matters less than the fact that its graduates are 'preferred by local employers over regional competitors'—a signal that the ENDS Lab's neuromorphic computing focus and tight connections to Micron and Knowm create specialized expertise unavailable elsewhere in the Mountain West.
At the doctoral level, boise State CS graduates score in the top 20% nationally on standardized tests and are preferred by local employers over graduates from other regional programs. The program offers strong industry connections with major tech companies and provides extensive experiential learning opportunities including internships and undergraduate research.
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 and Institutes
- Electronic and Neuromorphic Device and Systems (ENDS) Lab
- Cantley Research Group
- Johnson Research Group
- Electronics and Natural Sciences Research Lab
- LPiNS-Lab
- Transport Characterization Lab
- Idaho Microfabrication Laboratory
Industry Partners
- Knowm, Inc. (collaborator)
- Micron Technology (sponsor)
- Kount (sponsor)
Career Outcomes
Median Salary: $NaN. Top Employers: Amazon, AppDetex (Tracer), Boeing, Boise Inc, Clearwater Analytics, Cradlepoint, First to File, Google, Healthwise, HP, Idaho National Lab, Kount (Equifax), MarkMonitor, Micron, Microsoft, Paylocity, Qualcomm, Vynyl.
Notable Faculty
- Dr. Edoardo Serra — Machine learning, data mining, and artificial intelligence
- Dr. Casey Kennington — Natural language processing, machine learning, and artificial intelligence
- Dr. Jun Zhuang — Machine learning, artificial intelligence, and quantum computing
- Dr. Tim Andersen — Machine learning and computer science education
- Dr. Francesca Spezzano — Social media mining and data science
- Dr. Neal Bangerter — Machine learning applications in medical imaging
- Dr. Kurtis Cantley — Neuromorphic engineering and machine learning hardware
- Dr. Aykut Satici — Robotics and machine learning
Location Advantages: Hundreds of software and tech companies in Boise areaProximity to Idaho's growing tech ecosystem