Best Associate's Machine Learning Degree Programs in Nebraska
Metropolitan Community College Area — Omaha, NE
Hakia Insight: MCC's employer partnerships with Mutual of Omaha and First Data aren't advisory board relationships; they directly shape curriculum around skills these firms actively hire for, creating a 18-month path to jobs that typically require 4-year degrees elsewhere.
At the associate's level, as Nebraska's largest community college serving the Omaha metro area, MCC has built strong partnerships with local tech employers that directly shape its machine learning curriculum. You'll work with real datasets in hands-on labs while instructors maintain active connections to companies like Mutual of Omaha and First Data, creating clear pathways to internships and jobs before you graduate. The program emphasizes Python, data analysis, and supervised learning techniques that employers in the region actually need. Most students either transfer to UNO's computer science program with full junior-year standing or move directly into data analyst and junior machine learning engineer roles at Fortune 500 companies headquartered in Omaha.
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: Mutual of Omaha, First Data, Union Pacific Railroad, Creighton University, Omaha area tech startups.
Top Transfer Destinations
- University of Nebraska–Omaha
- University of Nebraska–Lincoln
- Creighton University
Entry-Level Career Paths
- Junior Data Analyst
- Machine Learning Associate
- Data Engineering Technician
- Business Intelligence Support Specialist
Included Certifications
- CompTIA A+
- Microsoft Azure Fundamentals
- AWS Cloud Practitioner
- Google Analytics Professional
Location Advantages:
Northeast Community College — Norfolk, NE
Hakia Insight: Northeast CC's agricultural analytics focus isn't a niche—it's a structural advantage in a region where precision farming generates machine learning jobs at higher density than traditional tech hubs, with lower competition for those positions.
At the associate's level, northeast CC's machine learning program reflects the region's needs: you'll learn core data science and Python alongside practical skills in agricultural analytics and small-business data applications. The curriculum connects to Ag Tech initiatives across northeast Nebraska, giving you insider knowledge of how machine learning actually solves farming and rural manufacturing challenges. Faculty maintain ties to regional employers and UNO/UNL computer science departments, smoothing your path whether you're transferring or entering the workforce directly. Most graduates move into data technician or junior analyst roles regionally, or transition seamlessly into upper-level CS programs.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Career Outcomes
Top Employers: Regional agricultural firms, Northeast Nebraska manufacturers, Local government, University of Nebraska extension offices.
Top Transfer Destinations
- University of Nebraska–Lincoln
- Wayne State College
- University of Nebraska–Omaha
Entry-Level Career Paths
- Data Technician
- Junior Data Analyst
- Agricultural Data Specialist
- Business Analyst Associate
Included Certifications
- CompTIA A+
- Microsoft Azure Fundamentals
- Google IT Support Professional
Location Advantages:
Best Bachelor's Machine Learning Degree Programs in Nebraska
University of Nebraska at Omaha — Omaha, NE
Key Distinction: First AI-focused bachelor's degree offered in Nebraska. Flexible curriculum with interdisciplinary elective coursework from across campus
Hakia Insight: University of Nebraska at Omaha leverages partnerships with TD Ameritrade and Mutual of Omaha to offer machine learning students real-world project experience valued by Nebraska employers.
The Bachelor of Science in Artificial Intelligence program at UNO is Nebraska's first AI-focused bachelor's degree, offering core skills development in Data Analytics, Machine Learning, and Natural Language Processing. The curriculum features flexible interdisciplinary elective coursework from across campus, allowing students to combine AI expertise with other fields. Key courses include Concepts in AI, Data Analytics in Python, Fundamentals & Algorithms of Machine Learning, and Principles of AI, covering topics from computer vision and robotics to generative AI and large language models. Graduates earn an average starting salary of $98-103k, entering a field with 74% increased demand over the past 5 years. The program prepares students for roles as AI Solutions Architects, Data Scientists, Machine Learning Engineers, and NLP Engineers through hands-on Python programming and applied artificial intelligence projects.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus. BS
Research Labs and Institutes
- R.N.A. Lab (Robotics, Networking and Artificial Intelligence)
- Data Science Lab
- Big Data Computing Lab
- NLPKR Lab (Knowledge Representation and Natural Language Understanding)
- Deep Learning and Multimedia (DLM) Research Group
- BRIDGE Lab
- WINDS Lab
Industry Partners
- TD Ameritrade (corporate)
- Mutual of Omaha (corporate)
- NASA (sponsor)
- National Science Foundation (sponsor)
- Department of Homeland Security (sponsor)
- Samsung (sponsor)
- Sarpy County Sheriff's Office (collaborator)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Dr. Qiuming Zhu — Machine Learning, Artificial Intelligence, Algorithm Design and Analysis, Pattern Recognition
- Dr. Xin Zhong — Deep Learning, Computer Vision, Pattern Recognition, Watermarking
- Dr. Yuliya Lierler — Knowledge Representation, Natural Language Processing, Automated Reasoning
- Dr. Xiaoyue Cheng — Machine Learning, Data Mining, Statistical Modeling, Data Visualization
- Dr. Lochana Palayangoda — Engineering applications of machine learning and statistics
Accreditations and Certifications
- CAHIIM Accreditation Candidate
Location Advantages: Regional proximity to insurance, healthcare, and financial services companies in OmahaAccess to Midwest tech sector employment opportunities
University of Nebraska-Lincoln — Lincoln, NE
Key Distinction: Nebraska's ML program uniquely positions students at the intersection of computer science and agricultural technology, offering rare applied specializations in precision agriculture and environmental prediction modeling.
Hakia Insight: Nebraska-Lincoln's partnership with Bayer and USDA creates a rare specialization: students can become computer vision experts in crop phenotyping and yield prediction—skills that command premium salaries in agritech but exist nowhere else as a dedicated degree track.
At the bachelor's level, machine learning at Nebraska is deeply integrated into a research-forward environment where computational methods meet real-world agricultural, natural resource, and engineering applications. The program emphasizes applied machine learning through hands-on projects in computer vision, predictive modeling, and optimization—particularly leveraging the institution's land-grant mission to solve problems in precision agriculture and environmental monitoring. Students work closely with faculty on projects that bridge academic theory and industry relevance, with significant opportunities in the Department of Computer Science and Engineering to specialize in deep learning, neural networks, and data-driven decision systems. The university's location in the agricultural heartland creates distinctive industry partnerships with agribusiness firms and environmental agencies seeking graduates who can translate complex ML models into actionable insights. Career outcomes reflect strong placement in tech roles and domain-specific positions where ML expertise commands premium compensation, with many graduates moving into roles at data-forward companies and research institutions focused on sustainability and resource optimization.
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
- Laboratory for Advanced Computational Research and Education (ACRe)
- Nebraska Intelligent Mobile Unmanned Systems (NIMUS) Laboratory
Industry Partners
- Monsanto (now Bayer Crop Science) (corporate)
- Union Pacific Railroad (corporate)
- US Department of Agriculture (government)
Career Outcomes
Top Employers: Google, Meta, Microsoft, Bayer, Union Pacific, Cerner Corporation.
Notable Faculty
- Ashok Samal — Computer vision, machine learning for agricultural imaging and environmental monitoring
- Stephen Scott — Machine learning, ensemble methods, neural networks
Accreditations and Certifications
- ABET accredited (BS in Computer Science)
Location Advantages: Access to agricultural industry innovation centers and agribusiness headquarters in the MidwestPartnership opportunities with USDA research facilitiesProximity to agricultural technology startups and precision farming companies
Hastings College — Hastings, NE
Hakia Insight: Hastings College's scale (residential liberal arts) means ML capstones involve solving real local business problems rather than toy datasets, giving students portfolio work grounded in actual market constraints.
At the bachelor's level, at Hastings College, machine learning education emerges from the institution's strength in computer science and mathematics, scaled appropriately for a residential liberal arts environment that prioritizes direct faculty engagement and integrated learning. Rather than siloing machine learning into a specialized program, Hastings weaves machine learning concepts throughout its computer science curriculum—from algorithms and data structures courses that build foundational intuition through to upper-level electives in neural networks and applied machine learning. This distributed approach ensures even students not specializing in machine learning gain literacy with these tools, while focused students can construct a coherent sequence of courses and projects. Faculty regularly incorporate machine learning into research activities and independent study arrangements, enabling students to go deep on topics matching their interests—perhaps computer vision applied to agricultural imagery, natural language processing for literary analysis, or optimization techniques in logistics. The Nebraska location and the college's regional connections have created partnerships with local businesses and institutions exploring how machine learning can enhance their operations, giving students authentic problems to solve. Undergraduate research opportunities and senior capstone projects provide crucial hands-on experience; many students complete applications significant enough to present at conferences or publish alongside faculty advisors. Graduates have moved into graduate programs at major research universities as well as directly into industry roles at technology companies and organizations undergoing digital transformation. The small-college advantage means no machine learning course is taught by graduate teaching assistants—faculty teach everything—ensuring consistent mentorship and availability that accelerates learning.
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
Notable Faculty
- Retired NASA Astronaut Clayton Anderson graduated from Hastings College in physics
Location Advantages:
Concordia University-Nebraska — Seward, NE
Hakia Insight: Concordia-Nebraska's values-centered framework explicitly builds ethical AI into the core curriculum rather than as an elective, a differentiator as hiring managers increasingly screen for candidates who can articulate responsible ML decisions.
At the bachelor's level, machine learning education at Concordia-Nebraska reflects the institution's commitment to values-centered learning alongside technical excellence, creating a distinctive environment where students examine the societal implications of their work as core to their training. The program integrates machine learning within a broader computer science curriculum that emphasizes both algorithmic thinking and ethical reasoning. Coursework covers supervised learning, unsupervised methods, neural networks, and practical applications, with attention to responsible AI principles throughout rather than as an afterthought. Faculty maintain interests in educational technology, business applications, and healthcare analytics, exposing students to diverse domains where machine learning creates real impact. The Nebraska location and Concordia's regional focus create meaningful connections with healthcare systems, agricultural technology companies, and regional businesses exploring machine learning applications. Class sizes remain intentionally small, enabling Socratic teaching approaches and individualized mentorship that help students develop both technical and professional skills. Students typically complete capstone projects addressing real problems for partner organizations, building experience in requirements gathering, stakeholder communication, and iterative development—competencies that distinguish graduates in hiring markets. Career trajectories include positions in healthcare IT, agricultural analytics, business intelligence, and software engineering roles, with many graduates staying in the region or joining distributed teams while contributing to their home communities. The program's emphasis on principled problem-solving appeals to students motivated by positive impact alongside technical mastery.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages:
Creighton University — Omaha, NE
Key Distinction: Service-learning-based capstone project with real-world experience. Interdisciplinary curriculum combining mathematics, journalism, media, and computing
Hakia Insight: Creighton's healthcare-specific capstone (partnered with CHI Omaha and Nebraska Medicine) lets students apply ML to problems where regulatory compliance and patient privacy are baked into the project, preparing them for healthcare ML roles that pay 15-20% premiums over generic data science.
Creighton's Bachelor of Science in Data Science is an interdisciplinary program combining mathematics, journalism, media, and computing with a collaborative, service-learning-based capstone project that provides real-world experience. The 47-credit curriculum balances computational and statistical thinking with mathematical foundations, preparing students to manage, analyze, and model data across the entire data lifecycle. Students can specialize in Advanced Computing (algorithm design, artificial intelligence, social media analytics) or Advanced Mathematics and Statistics (linear algebra, probability theory, mathematical statistics). Graduates pursue careers as data scientists, data engineers, machine learning engineers, or statisticians. The field shows strong job growth, with the Bureau of Labor Statistics predicting 15-33% growth in data science roles over the next two decades. Graduates are also well-prepared for advanced study in data science, machine learning, computer science, or statistics.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- Creighton University Center for Health Services Research and Patient Safety
Industry Partners
- CHI Omaha (Catholic Health Initiatives) (nonprofit)
- Omaha-area healthcare providers (nonprofit)
Notable Faculty
- Yong Wang — Machine learning, data mining, healthcare informatics
Accreditations and Certifications
- ABET accredited (BS in Computer Science)
Location Advantages: Omaha is a major healthcare and insurance hub (Mutual of Omaha, Nebraska Medicine, CHI Health)Access to healthcare industry partnerships through affiliated hospital systemsStrong pipeline to local health tech and medtech employers
Doane University — Crete, NE
Key Distinction: Mandatory internship requirement. Senior capstone project with independent research
Hakia Insight: Doane's mandatory internship requirement with employers like Hudl and Don't Panic Labs means students graduate with paid work experience already on their resume—companies rarely hire undergrads into full-time roles without it anyway.
Doane's Computing bachelor's program offers three high-demand emphasis areas: Artificial Intelligence, Cybersecurity, and Software Engineering. The curriculum integrates hands-on learning with a liberal arts foundation, developing both technical and essential non-technical competencies valued by employers. All majors complete a mandatory internship for real-world experience and a senior capstone project for independent research. Students gain access to unique resources including a VR lab and Doane's supercomputer 'Onyx' for research in machine learning, neural networks, genetic algorithms, and computer vision. The program offers exceptional flexibility, encouraging double majors or minors in engineering, data analytics, graphic design, or business. Graduates enjoy strong placement at notable employers including IBM, Microsoft, Lockheed Martin, and the Minnesota Vikings. Special opportunities include undergraduate research with faculty mentorship, academic programming competitions, mentorships with computing alumni, and work-study with campus IT professionals. The Exceptional Student Curriculum provides advanced coursework through Microsoft Professional Programs, while Computing with Honors offers intensive research experiences with potential summer stipends.
Programs Offered
- Bachelor of Science in Computing — 4 years, on-campus. BS
Research Labs and Institutes
- Center for Computing in the Liberal Arts
- VR Lab
- Doane Engineering Idea Lab
Industry Partners
- Don't Panic Labs (employer)
- Boys Town (employer)
- Fiserv (employer)
- Hudl (employer)
- IBM (employer)
- Lockheed Martin (employer)
- Microsoft (employer)
- Minnesota Vikings (employer)
- Nelnet (employer)
- Sandhills Publishing (employer)
- Crete Carrier (employer)
- CS3 Marketing (employer)
- Firespring (employer)
- National Institute of Standards and Technology (employer)
- University of Georgia Bioinformatics Department (employer)
Career Outcomes
Top Employers: IBM, Microsoft.
Notable Faculty
- Dr. Mark Meysenburg — Computing and high-performance computing
- Dr. Alec Engebretson — Computing
- Dr. Cale Stolle — Engineering
- Dr. Joel TerMaat — Engineering
- Dr. Ather Mahmood — Physics and Engineering
- Dr. Navid Changizi — Engineering
Accreditations and Certifications
Location Advantages: Located near Lincoln, NebraskaAccess to Nebraska's agricultural and technology sectors
Best Master's Machine Learning Degree Programs in Nebraska
University of Nebraska at Omaha — Omaha, NE
Key Distinction: Machine Learning concentration available online. Both traditional and online delivery modes
Hakia Insight: UNO's online ML concentration packaged within a CS master's lets working professionals in Omaha's insurance and finance sectors take classes asynchronously while staying in roles that directly apply course concepts, compressing the typical part-time student time-to-degree.
University of Nebraska at Omaha's Master of Science in Computer Science with a Machine Learning concentration is designed for working professionals seeking career advancement in AI and machine learning. The program offers both traditional and online delivery modes, allowing flexibility for part-time study. Students can pursue either a thesis or coursework track. Graduate assistantship opportunities are available. The program includes embedded certificate options in Artificial Intelligence and Machine Learning. Career outcomes position graduates for roles such as AI/Machine Learning Engineer, Senior Software Engineer, and Enterprise Architect, with significant salary advancement potential over bachelor's degree holders. The program emphasizes industry-relevant skills through comprehensive coursework in machine learning methodologies, preparing professionals for immediate application in competitive tech markets.
Programs Offered
- Computer Science, Master of Science — 1-2 years, on-campus. MS
Research Labs and Institutes
- R.N.A. Lab (Robotics, Networking and Artificial Intelligence)
- Data Science Lab
- Big Data Computing Lab
- NLPKR Lab (Knowledge Representation and Natural Language Understanding)
- Deep Learning and Multimedia (DLM) Research Group
- BRIDGE Lab
- WINDS Lab
Industry Partners
- TD Ameritrade (corporate)
- Mutual of Omaha (corporate)
- NASA (sponsor)
- National Science Foundation (sponsor)
- Department of Homeland Security (sponsor)
- Samsung (sponsor)
- Sarpy County Sheriff's Office (collaborator)
Notable Faculty
- Dr. Qiuming Zhu — Machine Learning, Artificial Intelligence, Algorithm Design and Analysis, Pattern Recognition
- Dr. Xin Zhong — Deep Learning, Computer Vision, Pattern Recognition, Watermarking
- Dr. Yuliya Lierler — Knowledge Representation, Natural Language Processing, Automated Reasoning
- Dr. Xiaoyue Cheng — Machine Learning, Data Mining, Statistical Modeling, Data Visualization
- Dr. Lochana Palayangoda — Engineering applications of machine learning and statistics
Accreditations and Certifications
- CAHIIM Accreditation Candidate
Location Advantages: Regional proximity to insurance, healthcare, and financial services companies in OmahaAccess to Midwest tech sector employment opportunities
University of Nebraska-Lincoln — Lincoln, NE
Key Distinction: Nebraska's ML program uniquely positions students at the intersection of computer science and agricultural technology, offering rare applied specializations in precision agriculture and environmental prediction modeling.
Hakia Insight: Nebraska's partnership with Bayer Crop Science and USDA research facilities means master's students don't just study ML theory—they apply it to precision agriculture problems that directly shape how millions of acres are farmed, giving graduates rare domain expertise that tech companies increasingly need.
At the master's level, machine learning at Nebraska is deeply integrated into a research-forward environment where computational methods meet real-world agricultural, natural resource, and engineering applications. The program emphasizes applied machine learning through hands-on projects in computer vision, predictive modeling, and optimization—particularly leveraging the institution's land-grant mission to solve problems in precision agriculture and environmental monitoring. Students work closely with faculty on projects that bridge academic theory and industry relevance, with significant opportunities in the Department of Computer Science and Engineering to specialize in deep learning, neural networks, and data-driven decision systems. The university's location in the agricultural heartland creates distinctive industry partnerships with agribusiness firms and environmental agencies seeking graduates who can translate complex ML models into actionable insights. Career outcomes reflect strong placement in tech roles and domain-specific positions where ML expertise commands premium compensation, with many graduates moving into roles at data-forward companies and research institutions focused on sustainability and resource optimization.
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
- Laboratory for Advanced Computational Research and Education (ACRe)
- Nebraska Intelligent Mobile Unmanned Systems (NIMUS) Laboratory
Industry Partners
- Monsanto (now Bayer Crop Science) (corporate)
- Union Pacific Railroad (corporate)
- US Department of Agriculture (government)
Career Outcomes
Top Employers: Google, Meta, Microsoft, Bayer, Union Pacific, Cerner Corporation.
Notable Faculty
- Ashok Samal — Computer vision, machine learning for agricultural imaging and environmental monitoring
- Stephen Scott — Machine learning, ensemble methods, neural networks
Accreditations and Certifications
- ABET accredited (BS in Computer Science)
Location Advantages: Access to agricultural industry innovation centers and agribusiness headquarters in the MidwestPartnership opportunities with USDA research facilitiesProximity to agricultural technology startups and precision farming companies
Best Doctoral Machine Learning Degree Programs in Nebraska
University of Nebraska-Lincoln — Lincoln, NE
Key Distinction: Access to Holland Computing Center with 121 TFlops computation rate and 7 petabytes storage. State-of-the-art research facilities including UAV testbeds and city-wide gigabit wireless network testbed
Hakia Insight: The Holland Computing Center's 7 petabytes of storage and UAV testbeds transform the PhD from a theoretical credential into a platform for building production-scale systems; doctoral students routinely deploy models across real agricultural infrastructure, not simulations.
The PhD in Computer Science at the University of Nebraska-Lincoln offers comprehensive doctoral training across three major research areas: Informatics and Algorithmics Foundations (including machine learning, AI, computer vision, data mining), Software Engineering, and Systems and Networking. Students gain access to advanced computing infrastructure including the Holland Computing Center with 121 TFlops computation rate and 7 petabytes of storage, plus specialized facilities like UAV testbeds and city-wide wireless network testbed. The program emphasizes both research depth and teaching skill development. Faculty expertise spans machine learning (Scott, Soh, Tran, Yao), AI for social good (Chan), safe AI (Tran), and applied machine learning (Sharif). Admission requires three letters of recommendation, personal statement with research interests and potential advisor names, and CV/resume. GRE is not required. Application deadlines are December 1 for Fall (financial consideration) or March 1 (otherwise). The program offers opportunities for undergraduate instruction support and active participation in department research programs, preparing graduates for scientific discovery and engineering innovation careers.
Programs Offered
- Computer Science (PHD) — 4-6 years, on-campus. PhD
Research Labs and Institutes
- Laboratory for Advanced Computational Research and Education (ACRe)
- Nebraska Intelligent Mobile Unmanned Systems (NIMUS) Laboratory
Industry Partners
- Monsanto (now Bayer Crop Science) (corporate)
- Union Pacific Railroad (corporate)
- US Department of Agriculture (government)
Notable Faculty
- Ashok Samal — Computer vision, machine learning for agricultural imaging and environmental monitoring
- Stephen Scott — Machine learning, ensemble methods, neural networks
Accreditations and Certifications
- ABET accredited (BS in Computer Science)
Location Advantages: Access to agricultural industry innovation centers and agribusiness headquarters in the MidwestPartnership opportunities with USDA research facilitiesProximity to agricultural technology startups and precision farming companies
University of Nebraska at Omaha — Omaha, NE
Key Distinction: UNO's machine learning program stands out for its applied, industry-connected curriculum delivered with strong faculty mentorship in an affordable, accessible setting that prioritizes working professionals and regional talent pipeline development.
Hakia Insight: UNO's partnerships with TD Ameritrade and Mutual of Omaha create a rare advantage for doctoral students: embedded industry mentorship that shapes dissertation work toward problems companies actively fund, resulting in direct post-graduation employment pathways rather than traditional job searches.
At the doctoral level, UNO's machine learning program sits within one of the region's most active computer science communities, with particular strength in the intersection of data science, cybersecurity, and intelligent systems. The program balances theoretical foundations with extensive hands-on laboratory work, preparing students for both industry positions and research-track careers. A defining feature is UNO's commitment to machine learning applications in real-world domains: cybersecurity threat detection, healthcare informatics, smart manufacturing, and environmental modeling. Students access modern computing infrastructure and work alongside faculty who maintain active research agendas, often involving students in publishable projects. The curriculum progresses from foundational algorithms and statistical learning through advanced topics in deep learning, reinforcement learning, and large-scale distributed systems. UNO benefits from its location in Omaha, a Midwest tech hub increasingly attracting major tech investments, creating robust internship and recruiting pipelines with companies like TD Ameritrade, Mutual of Omaha, ConAgra, and emerging startups. The undergraduate computer science program feeds naturally into graduate machine learning pathways, with opportunities for accelerated BS-to-MS tracks. Faculty expertise spans machine learning theory, computer vision, natural language processing, and applied AI systems. Capstone projects frequently partner with regional organizations, giving students portfolio-building experience with real organizational data and challenges. Graduates typically move into machine learning engineer, data scientist, or research scientist roles at companies across finance, insurance, healthcare, and tech 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
- R.N.A. Lab (Robotics, Networking and Artificial Intelligence)
- Data Science Lab
- Big Data Computing Lab
- NLPKR Lab (Knowledge Representation and Natural Language Understanding)
- Deep Learning and Multimedia (DLM) Research Group
- BRIDGE Lab
- WINDS Lab
Industry Partners
- TD Ameritrade (corporate)
- Mutual of Omaha (corporate)
- NASA (sponsor)
- National Science Foundation (sponsor)
- Department of Homeland Security (sponsor)
- Samsung (sponsor)
- Sarpy County Sheriff's Office (collaborator)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Dr. Qiuming Zhu — Machine Learning, Artificial Intelligence, Algorithm Design and Analysis, Pattern Recognition
- Dr. Xin Zhong — Deep Learning, Computer Vision, Pattern Recognition, Watermarking
- Dr. Yuliya Lierler — Knowledge Representation, Natural Language Processing, Automated Reasoning
- Dr. Xiaoyue Cheng — Machine Learning, Data Mining, Statistical Modeling, Data Visualization
- Dr. Lochana Palayangoda — Engineering applications of machine learning and statistics
Accreditations and Certifications
- CAHIIM Accreditation Candidate
Location Advantages: Regional proximity to insurance, healthcare, and financial services companies in OmahaAccess to Midwest tech sector employment opportunities
