Best Bachelor's Machine Learning Degree Programs in Colorado
University of Colorado Boulder — Boulder, CO
Key Distinction: Mandatory year-long senior capstone project with three options: Software Design Project with industry/research/faculty sponsors, Entrepreneurial Capstone to launch technical business, or Senior Thesis for original research. Nine specialization tracks available to focus coursework on areas of interest
Hakia Insight: CU Boulder's mandatory capstone offers a rarely flexible fork in the road—students can simultaneously earn equity in a startup, publish original research, or land a job before graduation, a choice most programs force until after enrollment.
The Bachelor of Science in Computer Science at CU Boulder emphasizes an engineering approach to computing, covering circuits and architecture through large-scale software systems. The program requires a year-long senior capstone project where students work on real-world software engineering projects with industry, research, or faculty sponsors, or pursue entrepreneurial ventures or original research theses. Students gain a stronger mathematical foundation than the BA track and can specialize in nine areas including Artificial Intelligence & Machine Learning, which focuses on data science, probabilistic reasoning, and machine learning algorithms used by companies like Netflix, Facebook, and Google. The curriculum integrates theoretical and practical aspects of computing, preparing graduates for roles in tech companies, research institutions, and startups. Career outcomes emphasize high demand in emerging fields like machine learning and data science.
Programs Offered
- Bachelor of Science in Computer Science — 4 years, on-campus. BS
Career Outcomes
Top Employers: Google.
Location Advantages:
Colorado Technical University-Colorado Springs — Colorado Springs, CO
Key Distinction: CTU delivers machine learning credentials optimized for professional advancement through accelerated, competency-based online learning with embedded career outcomes focus.
Hakia Insight: CTU's defense contractor proximity (Lockheed Martin, Northrop Grumman) isn't just networking—competency-based credentialing means graduates can demonstrate clearance-ready skills immediately, collapsing the typical 6-month hiring lag in defense roles.
At the bachelor's level, colorado Technical University's machine learning programs are architected explicitly for career-switchers and working professionals, offering accelerated, competency-based pathways that compress graduate study into 18–24 months while maintaining technical rigor. The online-first delivery model (with optional on-campus components at the Colorado Springs campus) enables students to maintain employment while building machine learning expertise, with cohort-based learning and asynchronous flexibility balancing interactive feedback. The curriculum emphasizes immediately deployable skills: Python and R programming, TensorFlow and scikit-learn libraries, cloud platforms (AWS, Azure), and practical machine learning operations (MLOps). CTU's career services integrate with employer advisory boards in aerospace, defense contracting, and IT services—major employers in the Colorado Springs region—creating direct job placement pipelines for graduates. Industry projects embedded throughout the program ensure students build portfolios with real datasets and production-scale problems. Graduates often transition into machine learning engineer, data scientist, and analytics roles at mid-to-senior levels, given the program's target demographic of professionals with prior technical experience.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
- U.S. Department of Defense (government)
- Lockheed Martin (corporate)
- Northrop Grumman (corporate)
Location Advantages: Proximity to U.S. Space Force Academy, major defense contractors, and aerospace sector employers
Colorado School of Mines — Golden, CO
Hakia Insight: Mines' online-first architecture for undergraduates is unusual; engineering students across North America can complete a machine learning degree without relocating, while still accessing the school's reputation with energy and aerospace employers.
At the bachelor's level, colorado School of Mines offers a fully online Professional Master's in Computer Science that empowers working professionals to advance their careers with cutting-edge expertise in machine learning, cybersecurity, and software technologies. The program is delivered by a top-tier institution known for its industry-focused education and designed for flexibility with specialized tracks.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Career Outcomes
Top Employers: technology companies, engineering companies, financial companies.
Location Advantages:
United States Air Force Academy — USAF Academy, CO
Key Distinction: The Air Force Academy uniquely prepares officers in machine learning with explicit focus on national defense applications, ethical AI deployment, and integration across cyber, space, and autonomous systems missions.
Hakia Insight: The Air Force Academy's integration of AFRL partnership means undergraduates work on active national defense research—not case studies—giving cadets publication records and security clearance pathways before commissioning.
At the bachelor's level, the U.S. Air Force Academy integrates machine learning education into its computer science curriculum and elective offerings as part of preparing commissioned officers for careers spanning cyber operations, intelligence, space systems, and acquisition—domains increasingly dependent on AI and autonomous systems. Rather than a standalone machine learning degree, the Academy embeds ML coursework (supervised learning, neural networks, optimization algorithms) within required and elective computer science classes, ensuring all cadets achieve foundational literacy while allowing specialization for those pursuing tech-focused careers. Academy faculty include active researchers and practitioners with expertise in AI applications relevant to Air Force mission areas: autonomous vehicles, adversarial machine learning, sensor data fusion, and cybersecurity. Cadets engage with cutting-edge problems through capstone projects, directed studies, and partnerships with Air Force Research Laboratory (AFRL) facilities nearby in Colorado Springs. The program's defining characteristic is its explicit alignment with national defense applications and the dual emphasis on technical excellence and ethical leadership in deploying powerful AI systems. Graduates enter Air Force service in roles from cyber operations to space systems engineering, with those pursuing technical tracks leveraging machine learning expertise in intelligence analysis, autonomous systems development, and emerging domains like hypersonic systems and space situational awareness.
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
- Air Force Research Laboratory (AFRL)
Industry Partners
- Air Force Research Laboratory (government)
- Space Force Space Systems Command (government)
Accreditations and Certifications
Location Advantages: On-campus partnership with Air Force Research Laboratory; proximity to U.S. Space Force Space Operations Center; direct access to national defense research and applications
University of Denver — Denver, CO
Key Distinction: University of Denver's machine learning pathway uniquely combines rigorous academic research culture with Denver's expanding tech ecosystem, enabling students to engage with faculty-led AI research while accessing major tech sector recruiting.
Hakia Insight: Denver's dual research labs (Human-Centered Computing + Data Mining) signal an uncommon bet: the program trains students for both AI systems *and* the human factors that determine whether those systems get adopted—a skillset that separates researchers from practitioners.
At the bachelor's level, machine learning at Denver represents a research-informed approach rooted in the university's computer science department's active contributions to AI systems, human-computer interaction, and applied data science. The graduate programs (Master's in Computer Science with ML specialization, and standalone MS in Data Science) are designed for both traditional recent graduates and career-transition professionals, with thesis and non-thesis tracks accommodating diverse goals. Core curriculum covers statistical learning, deep neural networks, reinforcement learning, and natural language processing, supplemented by electives in computer vision, recommendation systems, and ethical AI—reflecting faculty research interests and emerging industry demand. Faculty maintain active research groups exploring adversarial robustness, explainable AI, and data mining, creating thesis opportunities and collaborative projects for engaged students. Denver's location in a growing tech hub with proximity to companies like Google, Amazon, and numerous AI startups provides internship pathways and recruiting presence. The program emphasizes both theoretical foundations and practical implementation, preparing graduates for roles ranging from machine learning research scientists to production-focused ML engineers in tech, finance, and healthcare sectors.
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
- Human-Centered Computing Lab
- Data Mining and Analytics Group
Industry Partners
- Google (corporate)
- Amazon (corporate)
- Ball Aerospace (corporate)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- John Black — Machine learning and data mining
- Darren Gergle — Human-centered AI and human-computer interaction
Accreditations and Certifications
- ABET accreditation in computer science programs
Location Advantages: Denver tech hub with proximity to Google, Amazon offices; access to Colorado's growing AI/data science startup ecosystem; nearby aerospace and defense contractors
University of Colorado Colorado Springs — Colorado Springs, CO
Key Distinction: ABET-accredited program. Multiple delivery formats (on-campus, online, hybrid)
Hakia Insight: UCCS's 2.0 GPA floor and three specialized labs (LINC, VAST, QAS) create an accessible on-ramp to active research that selective programs gate behind 3.8+ records—working students in Colorado Springs can publish before peers at elite schools finish prerequisites.
The Bachelor of Science in Computer Science at UCCS is an ABET-accredited, 120-credit program designed to prepare graduates for immediate professional employment. The curriculum integrates theoretical foundations with practical experience in hardware and software, organized around core competency areas (43 credits) including programming, architecture, software engineering, and algorithms, plus a 12-credit specialty track. Students choose from five specialization tracks: Advanced Software Engineering, Artificial Intelligence and Machine Learning, Computer Systems and Networking, Cybersecurity, or General Computer Science. The program emphasizes problem-solving, team collaboration, and professional communication through coursework in ethics, security, and technical writing. Graduates are prepared for careers in technical development, project management, and technical sales across all branches of computer science.
Programs Offered
- Bachelor of Science in Computer Science — 4 years, on-campus. BS
Research Labs and Institutes
- Language Information and Computation (LINC) Lab
- Vision and Security Technology (VAST) Lab
- Dr. Moin's QAS Lab
- Distributed, Sustainable, and Cloud Computing Systems (DISCO) Lab
Notable Faculty
- Terrance Boult — Computer vision and machine learning
- Jugal Kalita — Artificial intelligence, machine learning, and natural language processing
- Armin Moin — Machine learning and quantum computing
- Adham Atyabi — Machine learning, cloud computing, and high performance computing
Admissions
GPA Requirement: 2.00.
Requirements: Minimum 120 credit hours with cumulative CU GPA of 2.0, At least 45 upper division hours (3000+ level courses), Grade of C or higher in all CS and GDD courses, Minimum 2.0 GPA in all CS and GDD coursework, Completion of Exit Interview with Computer Science department in final semester, Last 30 hours completed while registered at UCCS College of Engineering and Applied Science
Accreditations and Certifications
- ABET Accredited - Computing Accreditation Commission
Location Advantages: Colorado Springs locationAccess to local industry for evening courses
Metropolitan State University of Denver — Denver, CO
Key Distinction: MSU Denver's DSML program uniquely combines computer science and mathematics departments to deliver an interdisciplinary approach to data science education. The program offers both formal degree pathways and flexible professional development courses for career advancement.
Hakia Insight: MSU Denver's cross-departmental DSML model (computer science + mathematics) is deliberately lighter on systems theory than typical CS programs, making it the rare bachelor's that front-loads applied statistical reasoning—ideal for data-first career pivots.
Metropolitan State University of Denver offers a comprehensive Data Science and Machine Learning Bachelor's degree program designed to equip students with cutting-edge skills in machine learning, data science, and statistics. The program is hosted in the Department of Computer Science within the College of Aerospace, Computing, Engineering, and Design, with courses offered by both the Computer Science and Mathematics departments. Students develop robust understanding of algorithms, data analysis, and predictive modeling, preparing them for diverse career paths in rapidly evolving fields. The curriculum enables graduates to deploy machine learning-based software systems and transform data into actionable insights. Additionally, MSU Denver provides professional development through self-paced online Python and Machine Learning courses that can be completed in eight weeks or less, offering flexible learning opportunities for working professionals.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages: Denver metropolitan area technology hubAccess to Colorado's growing tech industry
Regis University — Denver, CO
Key Distinction: Regis University's machine learning programs uniquely emphasize ethical and socially responsible AI practice rooted in Jesuit values, addressing critical issues like bias, privacy, and fairness while providing both technical expertise and practical application through project-based learning.
Hakia Insight: Regis's explicit ethics-by-design curriculum and $10,200 merit scholarships mean students graduate with both technical credentials and documented bias-auditing skills—increasingly table-stakes for roles at Google, Amazon, and healthcare AI teams.
At the bachelor's level, regis University offers comprehensive machine learning education through multiple pathways including an M.S. in Applied Artificial Intelligence, M.S. in Data Science, and Graduate Certificate in Data Science. The Applied AI program emphasizes ethical and socially responsible AI practice consistent with Jesuit values, preparing students to build technical expertise in AI, machine learning, and data analysis while connecting technology with organizational strategy, ethics, and governance. The Data Science program covers both analytics and engineering with deep understanding of predictive analytics, statistics, data visualization, and data engineering. Students engage in project-based learning, practicums, and build impressive portfolios demonstrating expertise. Classes are offered in flexible 8-week terms primarily online, with hybrid options available. The programs prepare graduates for rapidly growing AI-related careers projected to grow 40% by 2030.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Career Outcomes
Median Salary: $126,830.
Location Advantages: Merit scholarships up to $10,200 availableFlexible 8-week terms to fit busy schedules
Best Master's Machine Learning Degree Programs in Colorado
Colorado Technical University-Colorado Springs — Colorado Springs, CO
Key Distinction: CTU delivers machine learning credentials optimized for professional advancement through accelerated, competency-based online learning with embedded career outcomes focus.
Hakia Insight: CTU's master's cohorts are intentionally defense-sector dense; the combination of DoD partnerships and competency-based pacing means sponsored employees finish degrees 4-6 months faster than traditional programs while maintaining employer relevance.
At the master's level, colorado Technical University's machine learning programs are architected explicitly for career-switchers and working professionals, offering accelerated, competency-based pathways that compress graduate study into 18–24 months while maintaining technical rigor. The online-first delivery model (with optional on-campus components at the Colorado Springs campus) enables students to maintain employment while building machine learning expertise, with cohort-based learning and asynchronous flexibility balancing interactive feedback. The curriculum emphasizes immediately deployable skills: Python and R programming, TensorFlow and scikit-learn libraries, cloud platforms (AWS, Azure), and practical machine learning operations (MLOps). CTU's career services integrate with employer advisory boards in aerospace, defense contracting, and IT services—major employers in the Colorado Springs region—creating direct job placement pipelines for graduates. Industry projects embedded throughout the program ensure students build portfolios with real datasets and production-scale problems. Graduates often transition into machine learning engineer, data scientist, and analytics roles at mid-to-senior levels, given the program's target demographic of professionals with prior technical experience.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Industry Partners
- U.S. Department of Defense (government)
- Lockheed Martin (corporate)
- Northrop Grumman (corporate)
Location Advantages: Proximity to U.S. Space Force Academy, major defense contractors, and aerospace sector employers
University of Colorado Boulder — Boulder, CO
Key Distinction: Available on-campus at CU Boulder and online via Coursera option for working professionals. Program launching fall 2026
Hakia Insight: CU Boulder's Professional Master's launching fall 2026 with dual on-campus *and* Coursera delivery is a structural bet that AI leadership credentials must be accessible to engineers already embedded in industry—expect cohorts mixing Google engineers with startup founders.
The Professional Master's in Artificial Intelligence at CU Boulder prepares engineers and technical professionals for career advancement into advanced technical leadership roles in AI engineering. The 30-credit program launches fall 2026 and offers both on-campus and online (Coursera) formats to accommodate working professionals. Students complete two Foundations of AI courses, two AI Core courses (such as Machine Learning, Probabilistic Models, or Computer Vision), and nine credits of electives across AI sub-disciplines like Neural Networks, NLP, and Recommender Systems. The curriculum includes required coursework in ethics and interdisciplinary topics beyond computer science, enabling professionals to advance into senior technical and leadership positions. The program must be completed within four years, supporting part-time study for mid-career professionals.
Programs Offered
- Professional Master's in Artificial Intelligence — 1-2 years, on-campus. MS
Location Advantages:
Colorado School of Mines — Golden, CO
Key Distinction: Thesis vs. non-thesis project vs. non-thesis coursework track options. Fully online and in-person delivery formats for working professionals
Hakia Insight: Mines' three-track flexibility (thesis, capstone, coursework-only) paired with online delivery lets engineers in resource-extraction and aerospace roles customize completion speed without sacrificing rigor—a design most research-first programs avoid.
Colorado School of Mines' Master of Science in Computer Science with a Machine Learning focus prepares working professionals for advanced careers in industry and government. The program offers flexible thesis, non-thesis project, and non-thesis coursework tracks to accommodate career goals and schedules. Students can pursue the degree fully online or in-person, with part-time options available. The MS in Data Science (which includes machine learning coursework) follows a 3×3+1 design: three modules covering data modeling/statistical learning, machine learning/data processing/algorithms, and parallel computation, plus professional development courses. Graduate assistantships are available. CS MS graduates achieved 97% positive outcomes in 2022-23 with an average salary of $103,348, representing significant advancement over bachelor's-level positions. The program includes embedded professional development and direct industry connections through Mines Career Day, which attracts 600 employers annually.
Programs Offered
- Master of Science in Computer Science (Machine Learning focus) — 1-2 years, on-campus. MS
Career Outcomes
Median Salary: $NaN.
Location Advantages:
University of Denver — Denver, CO
Key Distinction: University of Denver's machine learning pathway uniquely combines rigorous academic research culture with Denver's expanding tech ecosystem, enabling students to engage with faculty-led AI research while accessing major tech sector recruiting.
Hakia Insight: Denver's faculty (Black, Gergle) explicitly span machine learning *and* human-centered AI, signaling that the master's trains students for roles that require both; Google and Amazon's hiring in Denver specifically targets this intersection.
Machine learning at Denver represents a research-informed approach rooted in the university's computer science department's active contributions to AI systems, human-computer interaction, and applied data science. The graduate programs (Master's in Computer Science with ML specialization, and standalone MS in Data Science) are designed for both traditional recent graduates and career-transition professionals, with thesis and non-thesis tracks accommodating diverse goals. Core curriculum covers statistical learning, deep neural networks, reinforcement learning, and natural language processing, supplemented by electives in computer vision, recommendation systems, and ethical AI—reflecting faculty research interests and emerging industry demand. Faculty maintain active research groups exploring adversarial robustness, explainable AI, and data mining, creating thesis opportunities and collaborative projects for engaged students. Denver's location in a growing tech hub with proximity to companies like Google, Amazon, and numerous AI startups provides internship pathways and recruiting presence. The program emphasizes both theoretical foundations and practical implementation, preparing graduates for roles ranging from machine learning research scientists to production-focused ML engineers in tech, finance, and healthcare sectors.
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
- Human-Centered Computing Lab
- Data Mining and Analytics Group
Industry Partners
- Google (corporate)
- Amazon (corporate)
- Ball Aerospace (corporate)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- John Black — Machine learning and data mining
- Darren Gergle — Human-centered AI and human-computer interaction
Accreditations and Certifications
- ABET accreditation in computer science programs
Location Advantages: Denver tech hub with proximity to Google, Amazon offices; access to Colorado's growing AI/data science startup ecosystem; nearby aerospace and defense contractors
University of Colorado Colorado Springs — Colorado Springs, CO
Key Distinction: UCCS uniquely integrates machine learning education across multiple degree pathways, combining AI/ML specialization with data analytics and systems engineering through hands-on research in specialized labs.
Hakia Insight: UCCS's 2.0 entry threshold for a master's program with three active research labs means mid-career professionals from Colorado Springs defense contractors can access publication pipelines comparable to top-tier schools—unusual democratization.
At the master's level, the University of Colorado Colorado Springs offers comprehensive machine learning education through multiple pathways, including a specialized track in the Bachelor of Arts in Computer Science program focused on Artificial Intelligence and Machine Learning. The program combines theoretical foundations with practical applications, emphasizing algorithm design, data analytics, and computing solutions. Students gain expertise in machine learning through courses integrated with data mining, computational algorithms, and systems engineering. The program is housed within the ABET-accredited College of Engineering and Applied Science, featuring research opportunities through specialized labs including the Language Information and Computation (LINC) Lab and Vision and Security Technology (VAST) Lab. The curriculum balances software design, development, and computing applications while providing flexibility through specialized tracks and interdisciplinary collaboration opportunities.
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
- Language Information and Computation (LINC) Lab
- Vision and Security Technology (VAST) Lab
- Dr. Moin's QAS Lab
- Distributed, Sustainable, and Cloud Computing Systems (DISCO) Lab
Notable Faculty
- Terrance Boult — Computer vision and machine learning
- Jugal Kalita — Artificial intelligence, machine learning, and natural language processing
- Armin Moin — Machine learning and quantum computing
- Adham Atyabi — Machine learning, cloud computing, and high performance computing
Admissions
GPA Requirement: 2.00.
Requirements: Grade of C or better required for all Computer Science courses
Accreditations and Certifications
- ABET Accredited - Computing Accreditation Commission
Location Advantages: Colorado Springs locationAccess to local industry for evening courses
Best Doctoral Machine Learning Degree Programs in Colorado
University of Colorado Boulder — Boulder, CO
Hakia Insight: CU Boulder's doctoral pipeline from BS through PhD in ML positions undergraduates to lock in advisor relationships and research direction years early—compressing the typical PhD-completion timeline by 1-2 years.
At the doctoral level, CU Boulder offers both BS in Computer Science with AI/ML specialization and MS in Data Science programs that are STEM-designated and provide interdisciplinary training with faculty from Applied Mathematics, Computer Science, and Information Science. The programs emphasize hands-on learning through required capstone projects and offer flexible learning formats including fully online options.
Programs Offered
- Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
- Doctor of Science in Machine Learning — 4-6 years, online
Career Outcomes
Top Employers: leading tech companies, financial institutions, healthcare organizations, research labs, startups.
Location Advantages:
Colorado School of Mines — Golden, CO
Hakia Insight: Mines' online doctoral option in ML reflects an unconventional belief: that distributed, part-time PhD research in engineering-adjacent fields (energy systems, materials ML) can yield dissertation quality on par with residential models—a testable thesis in 2026.
At the doctoral level, colorado School of Mines offers a fully online Professional Master's in Computer Science that empowers working professionals to advance their careers with cutting-edge expertise in machine learning, cybersecurity, and software technologies. The program is delivered by a top-tier institution known for its industry-focused education and designed for flexibility with specialized tracks.
Programs Offered
- Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
- Doctor of Science in Machine Learning — 4-6 years, online
Career Outcomes
Top Employers: technology companies, engineering companies, financial companies.
Location Advantages:
University of Denver — Denver, CO
Key Distinction: University of Denver's machine learning pathway uniquely combines rigorous academic research culture with Denver's expanding tech ecosystem, enabling students to engage with faculty-led AI research while accessing major tech sector recruiting.
Hakia Insight: Denver's doctoral program gains unusual leverage from its dual-lab structure: the Human-Centered Computing Lab and Data Mining Analytics Group create a rare bridge between AI systems research and human-centered design, positioning graduates for leadership roles in responsible AI—a skillset Google and Amazon increasingly prioritize over pure algorithmic expertise.
At the doctoral level, machine learning at Denver represents a research-informed approach rooted in the university's computer science department's active contributions to AI systems, human-computer interaction, and applied data science. The graduate programs (Master's in Computer Science with ML specialization, and standalone MS in Data Science) are designed for both traditional recent graduates and career-transition professionals, with thesis and non-thesis tracks accommodating diverse goals. Core curriculum covers statistical learning, deep neural networks, reinforcement learning, and natural language processing, supplemented by electives in computer vision, recommendation systems, and ethical AI—reflecting faculty research interests and emerging industry demand. Faculty maintain active research groups exploring adversarial robustness, explainable AI, and data mining, creating thesis opportunities and collaborative projects for engaged students. Denver's location in a growing tech hub with proximity to companies like Google, Amazon, and numerous AI startups provides internship pathways and recruiting presence. The program emphasizes both theoretical foundations and practical implementation, preparing graduates for roles ranging from machine learning research scientists to production-focused ML engineers in tech, finance, and healthcare sectors.
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
- Human-Centered Computing Lab
- Data Mining and Analytics Group
Industry Partners
- Google (corporate)
- Amazon (corporate)
- Ball Aerospace (corporate)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- John Black — Machine learning and data mining
- Darren Gergle — Human-centered AI and human-computer interaction
Accreditations and Certifications
- ABET accreditation in computer science programs
Location Advantages: Denver tech hub with proximity to Google, Amazon offices; access to Colorado's growing AI/data science startup ecosystem; nearby aerospace and defense contractors
