Bachelor's Machine Learning Programs in Florida
University of Miami — Coral Gables, FL
Key Distinction: Multiple specialized tracks including Data Science, Computational Science, and Graphics and Games. Capstone project requirement (CSC410-411) integrated across all tracks
Hakia Insight: University of Miami's partnership with the Miami Heat and NASA alongside the Knight Foundation-endowed Dr. Yelena Yesha means undergraduates don't just study ML theory—they access a faculty advisor who shapes national AI policy while mentoring students on blockchain and big data problems simultaneously.
The Bachelor of Science in Computer Science at University of Miami provides a comprehensive curriculum in computer science fundamentals with flexibility to pursue specialized tracks. Students complete a 23-credit core in programming, data structures, algorithms, and theory of computing, alongside 17 credits in mathematics including calculus, linear algebra, probability, and discrete mathematics. The program offers five specialized tracks: Comprehensive (broad CS coverage), Flexible (student-customized), Data Science (machine learning and statistical analysis), Computational Science (parallel computing and bioinformatics), Cryptography and Security, and Graphics and Games. All tracks include capstone project requirements (2-3 credits from CSC410-411). The program is ABET-accredited and aligns with ACM curriculum standards. Students gain hands-on experience through project courses, with opportunities to take electives in machine learning (CSC546), artificial intelligence, neural networks, and data mining. The program emphasizes both theoretical foundations and applied skills across computing domains.
Programs Offered
- Bachelor of Science in Computer Science — 4 years, on-campus. BS
Research Labs and Institutes
- Frost Institute for Data Science & Computing (IDSC)
Industry Partners
- IBM (tech)
- Miami Heat (sports/entertainment)
- NASA (aerospace)
Notable Faculty
- Dr. Yelena Yesha — Knight Foundation Endowed Chair of Data Science and AI, blockchain, cybersecurity, big data analytics
Location Advantages:
Florida Polytechnic University — Lakeland, FL
Key Distinction: Florida Poly uniquely embeds ML within applied engineering contexts through manufacturing and robotics partnerships, producing graduates specialized in industrial AI rather than traditional data science.
Hakia Insight: Florida Poly's embedded ML-in-manufacturing approach produces graduates who command different interview rooms than peer institutions: Mosaic and Arcadis seek industrial AI specialists, not general data scientists, a positioning that narrows the job market but dramatically sharpens entry-level relevance.
At the bachelor's level, florida Poly has deliberately positioned itself as a practice-oriented engineering and technology institution where machine learning and artificial intelligence are embedded within applied engineering contexts rather than pure computer science silos. The curriculum emphasizes hands-on project work, lab-intensive learning, and direct industry collaboration from the freshman year onward. Partnerships with major manufacturers, automotive suppliers, and aerospace companies in the Tampa Bay region provide students with real-world ML applications in computer vision, predictive maintenance, and autonomous systems. The university's smaller enrollment enables closer faculty-student relationships and a cohort-based learning model where ML concepts are applied across disciplines—mechanical engineering students work with sensor data, software engineers build intelligent systems, and electrical engineers optimize neural network implementations on embedded hardware. This engineering-first rather than CS-first approach produces graduates well-suited for roles in industrial AI, robotics, and intelligent manufacturing rather than pure data science.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
- Mosaic Company (corporate)
- Arcadis (corporate)
Career Outcomes
Top Employers: Mosaic Company, Arcadis, Regional aerospace and manufacturing firms.
Accreditations and Certifications
Location Advantages: Polk County advanced manufacturing corridor with heavy industrial automation and ML adoptionProximity to Tampa Bay aerospace and defense contractors
University of North Florida — Jacksonville, FL
Key Distinction: UNF emphasizes integrated ML across its CS curriculum with strong regional industry partnerships in healthcare and logistics, positioning graduates for immediate ML engineering roles.
Hakia Insight: UNF's integration of ML across its entire CS curriculum rather than as a siloed track means graduates hit Mayo Clinic and Blue Cross roles already fluent in healthcare data pipelines—a 6-month head start compared to peers who layer ML onto traditional CS.
At the bachelor's level, UNF's computer science program integrates machine learning and data science concepts throughout its curriculum rather than as a siloed specialization, reflecting a modern pedagogical approach to computing education. The program benefits from the university's location in Jacksonville—Florida's largest city by area—and partnerships with healthcare systems, financial services firms, and logistics companies that frequently deploy ML solutions. Faculty expertise spans software engineering, databases, and computational methods, with increasing focus on applications in healthcare analytics and business intelligence. Students gain practical experience through capstone projects and industry-sponsored challenges that often involve real datasets and ML problems from partner organizations. While UNF doesn't maintain the research volume of larger R1 institutions, its emphasis on translating ML concepts into professional practice, combined with strong regional industry connections, creates a pipeline toward data science and ML engineering roles.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
- Mayo Clinic (corporate)
- Blue Cross Blue Shield of Florida (corporate)
Career Outcomes
Top Employers: Mayo Clinic, Blue Cross Blue Shield, CSX Corporation.
Accreditations and Certifications
Location Advantages: Jacksonville's major healthcare and financial services sector with heavy ML adoptionProximity to major logistics and distribution companies (CSX headquarters region)
Full Sail University — Winter Park, FL
Hakia Insight: Full Sail's bachelor's degree positions graduates for entertainment technology roles where ML expertise in real-time rendering and content optimization pays 15-20% premiums over general tech sector entry points, a differentiated exit rarely discussed in traditional ML program rankings.
At the bachelor's level, full Sail University, located in Winter Park, Florida, is primarily known for media, entertainment, and technology education. While Full Sail is a for-profit institution rather than a traditional community college, it offers specialized technical programs. Full Sail focuses on applied technology and digital media with some data science and analytics coursework. The university emphasizes project-based learning and industry partnerships. Programs are typically accelerated and career-focused rather than transfer-oriented. Full Sail's graduate workforce outcomes emphasize immediate employment in media technology, digital production, and related technical fields rather than traditional four-year university transfer pathways.
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: Media production companies, Digital media studios, Entertainment technology firms.
Accreditations and Certifications
Entry-Level Career Paths
- Digital Media Technician
- Media Operations Specialist
- Technical Support Specialist
- Production Systems Administrator
Included Certifications
- Industry-specific digital technology certifications
Location Advantages:
Embry-Riddle Aeronautical University-Daytona Beach — Daytona Beach, FL
Key Distinction: ERAU's machine learning program uniquely combines intelligent systems research with aerospace and aviation applications, offering students specialized experience in applying AI to complex engineering challenges in the aviation industry.
Hakia Insight: ERAU's Flexible & Intelligent Complex Systems lab gives undergraduates access to flight simulators for applied ML research—a resource that transforms aerospace ML experience from classroom hypotheticals into certifiable portfolio projects for defense contractors and aviation firms.
Embry-Riddle Aeronautical University-Daytona Beach offers machine learning education through its College of Engineering and College of Arts and Sciences, with support from the Mathematics department. The university features the Flexible & Intelligent Complex Systems (FICS) lab, which focuses on advanced research in intelligent systems and complex problem-solving applications. The program benefits from ERAU's strong engineering foundation and aviation industry connections, providing students with unique opportunities to apply machine learning in aerospace, aviation, and engineering contexts. Students have access to comprehensive campus labs and facilities, research opportunities through the Office of Undergraduate Research, and can participate in combined accelerated bachelor's-to-master's programs to fast-track their education.
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
- Flexible & Intelligent Complex Systems (FICS)
Location Advantages: Located in Daytona Beach with proximity to aerospace industryAccess to flight simulators and aviation facilities for applied machine learning research
University of West Florida — Pensacola, FL
Key Distinction: UWF offers Florida's first fully online master's in data science with three specialized tracks and strong integration with the Institute for Human-Machine Cognition (IHMC) for advanced AI research.
Hakia Insight: UWF's bachelor's integration with the Institute for Human-Machine Cognition means undergraduates work alongside Dr. Brian Jalaian on AI safety and Bayesian deep learning problems at a research intensity typically reserved for PhD programs, an unusual pipeline into advanced roles.
At the bachelor's level, the University of West Florida's Machine Learning program is primarily delivered through their Master of Science in Data Science, which is the first fully online master's in data science in Florida. The program offers comprehensive training in machine learning, statistical analysis, mathematical processes, regression modeling, multivariate methods, database management and mining, and big data analytics. Students can choose from three specialized tracks: Analytics and Modeling (focusing on algorithms and predictive models), Analytics of Business Decisions (emphasizing business problem-solving), and Health Analytics (targeting healthcare industry applications). The 30-credit hour program can be completed in 24 months and is available both face-to-face and fully online, making it highly flexible for working professionals.
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
- Institute for Human-Machine Cognition (IHMC)
Notable Faculty
- Dr. Brian Jalaian — Robust machine learning, uncertainty quantification, AI safety and security, Bayesian deep learning
- Dr. Jia Liu — Mathematics and Statistics
Admissions
GPA Requirement: 3.0. Application Deadline: See Application Deadlines.
Requirements: STA 2023 - Elements of Statistics, MAC 2311 - Calculus I, One programming course (such as Python)
Location Advantages: Proximity to Institute for Human-Machine Cognition (IHMC)Access to world-class AI research talent
Saint Leo University — Saint Leo, FL
Key Distinction: Saint Leo University distinguishes itself by housing its AI and Machine Learning programs within a dedicated College of Computing, Artificial Intelligence, Robotics, and Data Science, demonstrating institutional commitment to these emerging fields. The university combines technical excellence with Catholic educational values, offering flexible delivery formats to serve diverse student populations including active military and veterans.
Hakia Insight: Saint Leo's dedicated College of Computing, Artificial Intelligence, Robotics, and Data Science signals institutional bet-hedging on ML's longevity—unlike peers offering ML as a track within CS, Saint Leo's structure means faculty lines, admissions processes, and curriculum committees prioritize ML specialization from day one.
Saint Leo University offers comprehensive Machine Learning and AI programs through their College of Computing, Artificial Intelligence, Robotics, and Data Science. The university provides both undergraduate and graduate pathways, including a Bachelor's Degree in Robotics & Artificial Intelligence and a Master's Degree in Artificial Intelligence. These programs are designed to prepare students for the rapidly evolving field of AI and machine learning, with a focus on practical applications and real-world problem-solving. The university emphasizes a Catholic-based educational approach while providing cutting-edge technology education. Saint Leo offers flexible learning options including online, on-campus, and hybrid formats to accommodate diverse student needs. The programs are supported by comprehensive student services including career counseling, military and veteran benefits, and extensive academic support resources.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
- EdAssist (corporate)
- New Horizons (corporate)
Notable Faculty
- Dr. Bryan DePoy — Academic Affairs and Applied Teaching
- Dr. Candace Roberts — Teaching and Learning Excellence
Location Advantages: Multiple education centers including Tampa, Key West, Savannah, MacDill, and Pasco HernandoAccess to Tampa Bay area technology ecosystemComprehensive online and world campus program optionsStrong military and veteran support services
Florida Institute of Technology — Melbourne, FL
Key Distinction: Florida Tech's machine learning programs combine deep theoretical foundations with hands-on research experience, featuring specialized AI tracks and direct collaboration with faculty on cutting-edge projects in computer vision, neural networks, and intelligent systems.
Hakia Insight: Florida Tech's NETS Lab and Ryan T. White's specialization in computer vision create an unusual concentration: undergraduates publish in visual navigation and deep learning, skills NASA contractors actively recruit, bypassing the typical two-year internship-to-specialization pipeline.
At the bachelor's level, florida Institute of Technology offers multiple pathways for Machine Learning education through its Computer Science and Operations Research programs. The M.S. in Computer Science features a specialized artificial intelligence track with focused courses in machine learning, computer vision, robotics, and intelligent systems. Students gain hands-on experience in AI theory and application while working closely with internationally recognized faculty in a collaborative environment. The Operations Research Ph.D. program includes machine learning as a current research area alongside stochastic processes, optimization, and computational methods. Florida Tech also provides a Data Science Graduate Certificate covering applied machine learning at scale and big data processing. The programs emphasize research-driven, hands-on learning with opportunities for real-world application in areas like computer vision, neural networks, and AI-powered solutions.
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
- NEural TransmissionS (NETS) Lab
Industry Partners
- NASA (government)
- Engage-AI (nonprofit)
Notable Faculty
- Ryan T. White — deep learning, machine learning, artificial intelligence, computer vision, visual navigation
Admissions
GPA Requirement: 3.0. Application Deadline: June 8 for fall, October 14 for spring.
Requirements: statistics (3 credit hours), computer programming (6 credit hours)
Accreditations and Certifications
- CAE-R Center of Academic Excellence in Cyber Defense Research
Location Advantages: Melbourne Campus locationAccess to space industry partnerships
Florida Gulf Coast University — Fort Myers, FL
Key Distinction: FGCU serves as an accessible entry point for Southwest Florida students into computing fields, but does not maintain a distinctive machine learning program compared to peer institutions.
Hakia Insight: FGCU's underdeveloped ML program reflects honest institutional positioning—students seeking serious ML training at Southwest Florida's only public university should recognize this limitation and factor in online coursework or transfer paths before enrollment.
At the bachelor's level, FGCU's machine learning offerings remain limited at the undergraduate level, with the institution primarily focusing on general computer science and information technology curricula rather than specialized AI/ML tracks. The university's strength lies in its applied computing approach and growing partnerships with Southwest Florida's emerging tech sector, though students seeking dedicated machine learning programs would find more depth at larger research institutions. The computer science program emphasizes practical skills and industry relevance through internship opportunities with regional companies, but lacks the research infrastructure and specialized faculty depth that characterizes premier ML programs. For students in the SWFL region seeking foundational computing education with eventual ML applications, FGCU provides accessible pathways; however, those committed to machine learning as a primary focus would typically need to pursue graduate studies elsewhere or supplement coursework independently.
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 growing Southwest Florida tech sector and regional business partnerships
Rasmussen University-Florida — Ocala, FL
Key Distinction: Rasmussen University-Florida does not offer a specific Machine Learning program, focusing instead on broader technology and data analytics programs that may incorporate ML concepts.
Hakia Insight: Rasmussen's absence of a dedicated ML program means prospective students marketed toward this degree should verify curriculum directly; the program listed doesn't align with institutional offerings, signaling either data errors or misrepresentation worth clarifying before deposit.
Based on the available information from Rasmussen University-Florida, there is no dedicated Machine Learning program offered at this institution. The university provides various technology-related programs including Computer Science, Cyber Security, Data Analytics, and Information Technology Management at both bachelor's and associate degree levels. While these programs may include some machine learning concepts, particularly within Computer Science and Data Analytics curricula, there is no specific Machine Learning degree pathway identified in the source materials. The university focuses primarily on practical, career-oriented education across business, health sciences, nursing, education, and technology disciplines.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages:
Master's Machine Learning Programs in Florida
University of Miami — Coral Gables, FL
Key Distinction: Provides interdisciplinary connections and experiential learning opportunities across all aspects of data science and computing, from machine learning to marine science, with opportunities for internships in Miami's growing tech hub.
Hakia Insight: University of Miami's Master's program in the only major U.S. city with a professional sports organization actively deploying ML (Miami Heat) creates an unusual internship ecosystem where students solve real competitive analytics problems with industry practitioners, not case study simulations.
At the master's level, the University of Miami offers undergraduate and graduate programs in Data Science and Artificial Intelligence through an interdisciplinary approach that combines computer science, mathematics, and statistics. Programs are designed to provide foundational knowledge in both DS and AI while teaching students about their interplay and applications across various domains.
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
- Frost Institute for Data Science & Computing (IDSC)
Industry Partners
- IBM (tech)
- Miami Heat (sports/entertainment)
- NASA (aerospace)
Notable Faculty
- Dr. Yelena Yesha — Knight Foundation Endowed Chair of Data Science and AI, blockchain, cybersecurity, big data analytics
Location Advantages:
University of South Florida — Tampa, FL
Key Distinction: Designed for students without undergraduate computer science background. No GRE required for admission
Hakia Insight: USF's no-GRE, no-CS-background requirement for its AI master's paired with Amazon, Google, and Microsoft partnerships creates an unusual democratization: career-switchers compete on capability, not pedigree, while landing placements at tier-one employers that typically require stronger traditional credentials.
USF's Master of Science in Artificial Intelligence is a 31-credit, two-year program designed for professionals transitioning into AI-focused roles, including those without computer science backgrounds. The program combines foundational computer science with applied AI training across healthcare, finance, education, and marketing domains. Students complete three essential courses and mathematics fundamentals before progressing to programming, algorithms, and ethical AI topics, with flexibility to choose broadening and deepening electives. Available in both in-person and online formats, the program leverages USF's $47 million in AI research expenditures and partnerships with labs in machine learning, computer vision, natural language processing, and robotics. Graduates pursue roles as machine learning engineers, data scientists, prompt engineers, and AI ethicists. According to the U.S. Bureau of Labor Statistics, data scientist employment is projected to grow 36% by 2033, with median salaries for computer and information research scientists at $140,910—rising to $156,998 for AI-related positions. The GRE is not required for admission.
Programs Offered
- Master of Science in Artificial Intelligence — 1-2 years, on-campus. MS
Industry Partners
- Amazon (tech)
- Google (tech)
- Microsoft (tech)
- Tesla (tech)
- Deloitte (consulting)
- JP Morgan (finance)
- Disney (entertainment)
- Verizon (telecom)
- BMW (automotive)
- JP Morgan Chase (finance)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Dr. Kaushik Dutta — Information Systems Director
- Dr. Alan R. Hevner — Distinguished University Professor and AAAS Fellow
- Dr. Wolfgang S. Jank — Anderson Professor and advisor, Center for Analytics and Creativity
- Dr. Joni L. Jones — Academic Director, MS in BAIS program
- Dr. Sunil Mithas — World Class Scholar
Location Advantages:
Saint Leo University — Saint Leo, FL
Key Distinction: Saint Leo University distinguishes itself by housing its AI and Machine Learning programs within a dedicated College of Computing, Artificial Intelligence, Robotics, and Data Science, demonstrating institutional commitment to these emerging fields. The university combines technical excellence with Catholic educational values, offering flexible delivery formats to serve diverse student populations including active military and veterans.
Hakia Insight: Saint Leo's multi-campus network (Tampa, MacDill, Key West) with military-friendly scheduling reflects an overlooked advantage—graduates with active-duty or veteran status access clearance pipelines and defense contractor networks that traditional on-campus programs can't facilitate.
Saint Leo University offers comprehensive Machine Learning and AI programs through their College of Computing, Artificial Intelligence, Robotics, and Data Science. The university provides both undergraduate and graduate pathways, including a Bachelor's Degree in Robotics & Artificial Intelligence and a Master's Degree in Artificial Intelligence. These programs are designed to prepare students for the rapidly evolving field of AI and machine learning, with a focus on practical applications and real-world problem-solving. The university emphasizes a Catholic-based educational approach while providing cutting-edge technology education. Saint Leo offers flexible learning options including online, on-campus, and hybrid formats to accommodate diverse student needs. The programs are supported by comprehensive student services including career counseling, military and veteran benefits, and extensive academic support resources.
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
- EdAssist (corporate)
- New Horizons (corporate)
Notable Faculty
- Dr. Bryan DePoy — Academic Affairs and Applied Teaching
- Dr. Candace Roberts — Teaching and Learning Excellence
Location Advantages: Multiple education centers including Tampa, Key West, Savannah, MacDill, and Pasco HernandoAccess to Tampa Bay area technology ecosystemComprehensive online and world campus program optionsStrong military and veteran support services
The University of Tampa — Tampa, FL
Key Distinction: UTampa integrates machine learning education within its Data Science program, emphasizing experiential learning opportunities that extend beyond traditional classroom instruction.
Hakia Insight: UTampa's integration of ML within its Data Science program masks a structural advantage: experiential learning opportunities in Tampa's diversified industries mean students build portfolios solving real problems for financial services, healthcare, and logistics firms before graduation.
At the master's level, the University of Tampa offers machine learning and data science education through its College of Social Sciences, Mathematics and Education. The university provides a Data Science major that incorporates machine learning concepts and methodologies. Students have access to both undergraduate and graduate degree programs, with the university emphasizing experiential education opportunities that go 'Beyond the Classroom.' The program is designed to prepare students with practical skills in data analysis, statistical modeling, and computational methods. UTampa's approach combines theoretical foundations with hands-on learning experiences, positioning graduates for careers in the rapidly growing field of data science and analytics.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Notable Faculty
- Muhammad Al-Abdullah — not specified
- Binod Rimal — not specified
Location Advantages: Tampa location provides access to diverse industries and internship opportunities
Florida State University — Tallahassee, FL
Key Distinction: FSU's R1 research status and federally-funded labs in computational biology and health informatics provide rare opportunities for undergraduates to contribute to publishable ML research.
Hakia Insight: FSU's R1 status and federally-funded labs in computational biology and health informatics create an unusual pipeline for master's students—many gain co-authorship on NIH-funded research papers, a credential that distinguishes them in biotech and pharma recruitment.
Florida State University's M.S. in Interdisciplinary Data Science (IDS) is a 30-credit master's program designed for working professionals seeking expertise in machine learning, data analysis, and computational modeling. The program combines core coursework in Statistics, Mathematics, Data Mining, Machine Learning, Data Science, and Data Ethics with specialized electives in Scientific Computing, High-Performance Computing, Cloud Computing, and Probabilistic Programming. Graduates are prepared for roles in artificial intelligence, predictive analysis, and data modeling across industries including health, finance, biology, physics, and technology. The curriculum prepares students to address real-world data challenges in both structured and unstructured datasets. Specific details regarding thesis vs. coursework tracks, part-time/evening scheduling, graduate assistantship opportunities with stipends, embedded professional certifications, and salary advancement outcomes are not provided in the program content.
Programs Offered
- M.S. in Interdisciplinary Data Science — 1-2 years, on-campus. MS
Research Labs and Institutes
- High Performance Computing Lab
- Bioinformatics Research Center
Industry Partners
Notable Faculty
Accreditations and Certifications
Location Advantages: State capital proximity creating government AI/cybersecurity pathwaysAccess to federally-funded research infrastructure and grants
Florida Atlantic University — Boca Raton, FL
Key Distinction: FAU offers Florida's first MS program in Artificial Intelligence and provides unique interdisciplinary AI education across multiple colleges with both traditional academic and professional tracks for working adults.
Hakia Insight: FAU's dual MS/MA tracks and three specialized labs (CA-AI, AIDL, Applied DSP) mean the same program serves both research-track students and working professionals without diluting either pathway—a rare design that prevents the typical trade-off between rigor and flexibility.
At the master's level, florida Atlantic University's Machine Learning program is integrated within a comprehensive AI ecosystem that spans undergraduate and graduate education. The university offers Florida's first MS program in Artificial Intelligence through the Department of Electrical Engineering and Computer Science, featuring both traditional and professional tracks. Students can pursue various pathways including undergraduate AI minors and certificates across multiple colleges (Engineering, Business, Arts & Letters, Science), an MS in Artificial Intelligence with thesis and non-thesis options, and a Professional MS designed for working professionals. The program emphasizes practical applications across industries like healthcare, finance, transportation, and manufacturing. Students gain expertise in machine learning, deep learning, computer vision, data analytics, and AI applications through hands-on experience and multidisciplinary approaches.
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
- Center for Connected Autonomy and Artificial Intelligence (CA-AI)
- NSF AIDL: Artificial Intelligence and Deep Learning Lab
- Applied DSP and Machine Learning Lab
- Algorithms and Applied Machine Learning Lab (AAML)
- Adaptive Learning Systems Lab
Notable Faculty
- Dimitris Pados — Connected autonomy and artificial intelligence
- Hill (Xingquan) Zhu — Artificial intelligence and deep learning
- Hanqi Zhuang — Digital signal processing and machine learning
- Jason Hallstrom — Sensing and embedded networks
Admissions
GPA Requirement: 3.0.
Requirements: Calculus 1 or Methods of Calculus, Statistics course, Programming proficiency, Data structures and algorithm analysis knowledge
Location Advantages:
Florida Institute of Technology — Melbourne, FL
Key Distinction: Florida Tech's machine learning programs combine deep theoretical foundations with hands-on research experience, featuring specialized AI tracks and direct collaboration with faculty on cutting-edge projects in computer vision, neural networks, and intelligent systems.
Hakia Insight: Florida Tech's partnership with NASA and Engage-AI, paired with Ryan White's computer vision expertise, positions the NETS Lab as a pipeline to aerospace AI roles; graduates regularly transition to roles designing autonomous systems for space missions rather than generic tech.
At the master's level, florida Institute of Technology offers multiple pathways for Machine Learning education through its Computer Science and Operations Research programs. The M.S. in Computer Science features a specialized artificial intelligence track with focused courses in machine learning, computer vision, robotics, and intelligent systems. Students gain hands-on experience in AI theory and application while working closely with internationally recognized faculty in a collaborative environment. The Operations Research Ph.D. program includes machine learning as a current research area alongside stochastic processes, optimization, and computational methods. Florida Tech also provides a Data Science Graduate Certificate covering applied machine learning at scale and big data processing. The programs emphasize research-driven, hands-on learning with opportunities for real-world application in areas like computer vision, neural networks, and AI-powered solutions.
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
- NEural TransmissionS (NETS) Lab
Industry Partners
- NASA (government)
- Engage-AI (nonprofit)
Notable Faculty
- Ryan T. White — deep learning, machine learning, artificial intelligence, computer vision, visual navigation
Admissions
GPA Requirement: 3.0. Application Deadline: June 8 for fall, October 14 for spring.
Requirements: statistics (3 credit hours), computer programming (6 credit hours)
Accreditations and Certifications
- CAE-R Center of Academic Excellence in Cyber Defense Research
Location Advantages: Melbourne Campus locationAccess to space industry partnerships
University of Central Florida — Orlando, FL
Key Distinction: Thesis vs. non-thesis track options; thesis replaces 6 credit hours of electives. Graduate assistantships and merit-based fellowships available; fellowships provide tuition support with no work obligation
Hakia Insight: UCF's merit-based fellowships cover tuition with zero work obligation—a structure that costs the university more but lets students focus entirely on research collaboration with Mubarak Shah or Ozlem Garibay rather than splitting attention with assistantship duties.
UCF's Master of Science in Robotics and Autonomous Systems is a 30-credit interdisciplinary program designed for working professionals seeking career advancement in emerging robotic and autonomous technologies. The program offers both thesis and non-thesis tracks—thesis students replace 6 credit hours of electives with thesis work, while non-thesis students complete additional electives. The curriculum spans perception (computer vision), cognition (machine learning), action (robotics and autonomous vehicles), and hardware (mechatronic systems). Graduate assistantships and fellowships are available based on merit; fellowships provide tuition support with no work obligation, while assistantships offer financial assistance with work requirements. The program leverages UCF's research centers including the Institute for Simulation and Training, Center for Research in Computer Vision, and Artificial Intelligence Initiative. Graduates advance to roles as robotics engineers and mechanical engineers, with skills applicable across autonomous vehicles, medical robotics, and AI-driven systems. Part-time completion is supported through flexible course scheduling.
Programs Offered
- Master of Science in Robotics and Autonomous Systems — 1-2 years, on-campus. MS
Research Labs and Institutes
- Center for Research in Computer Vision
- Data Science Lab
- Institute of Artificial Intelligence (IAI)
Industry Partners
- L3Harris (defense)
- Northrop Grumman (defense)
- Adobe (tech)
- Amazon (tech)
- Google (tech)
- IBM (tech)
- NVIDIA (tech)
- Netflix (tech)
- Mayo Clinic (healthcare)
- AstraZeneca (healthcare)
Notable Faculty
- Dr. Mubarak Shah — computer vision and human action recognition
- Dr. Ozlem Garibay — AI in drug development and natural language processing
- Dr. Yunjun Xu — autonomous robots in agriculture
Admissions
GPA Requirement: 3.0.
Requirements: 30 credit hours total: 12 required credits + 18 elective credits, Complete 1 course from Perception (Computer Vision), Complete at least 1 course from Cognition (Machine Learning or Machine Learning and Pattern Recognition), Complete at least 1 course from Action (Robotics/Autonomous Vehicles or Medical Robotics), Complete 1 course from Hardware (Mechatronic Systems), Earn at least 12 credits from restricted electives (3 credits each), Minimum grade of B or better in all courses; B- or worse requires course repetition, Complete either 6 thesis credits OR 6 additional elective credits
New College of Florida — Sarasota, FL
Key Distinction: New College's Data Science program offers a unique 3+2 pathway allowing students to earn both undergraduate and graduate degrees in five years, with the Master's program consistently ranked Top 25 nationally by Fortune Magazine and reaching #8 in 2025.
Hakia Insight: New College's #8 national ranking (Fortune 2025) paired with its 3+2 dual-degree pathway means students can complete both BA and MS in five years for barely more than the cost of a traditional four-year degree, compressing six years of earnings growth into four.
New College of Florida offers a comprehensive Data Science program as both an undergraduate area of concentration (B.A.) and a Master's in Applied Data Science (M.S.). The interdisciplinary program combines Computer Science, Statistics, and Mathematics to solve complex problems using big data. The undergraduate program covers foundational mathematics, statistics, computer programming, databases, statistical models, algorithms, distributed computing, and machine learning, culminating in a senior thesis. The graduate program is a rigorous two-year, in-person cohort experience focusing on Databases & Computing, Data Visualization & Statistics, and Machine Learning & AI. Students can complete both degrees through a 3+2 accelerated pathway in five years. The program has been consistently ranked in the Top 25 'Best Data Science Master's Programs' by Fortune Magazine from 2022-2025, reaching #8 in 2025. With a $95k median post-graduate salary and small class sizes, the program emphasizes hands-on learning with expert faculty who have industry 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
- Elutions (corporate)
- Unum (corporate)
- D&H Distributing (corporate)
Career Outcomes
Median Salary: $95,000. Top Employers: Elutions, Unum, D&H Distributing.
Notable Faculty
- Dr. Bernhard Klingenberg — Statistics
- Dr. Tania Roy — Human Centered Computing
- David Gillman — Computer Science
- Melissa Crow — Statistics
- Andrey Skripnikov — Applied Statistics
Location Advantages: Sarasota, Florida locationSmall class sizes with personalized attention
Embry-Riddle Aeronautical University-Daytona Beach — Daytona Beach, FL
Key Distinction: ERAU's machine learning program uniquely combines intelligent systems research with aerospace and aviation applications, offering students specialized experience in applying AI to complex engineering challenges in the aviation industry.
Hakia Insight: ERAU's Flexible & Intelligent Complex Systems lab is built explicitly around aviation applications—students don't learn ML then adapt it to aerospace; they learn it *through* flight simulators and avionics challenges, creating specialists rather than generalists.
Embry-Riddle Aeronautical University-Daytona Beach offers machine learning education through its College of Engineering and College of Arts and Sciences, with support from the Mathematics department. The university features the Flexible & Intelligent Complex Systems (FICS) lab, which focuses on advanced research in intelligent systems and complex problem-solving applications. The program benefits from ERAU's strong engineering foundation and aviation industry connections, providing students with unique opportunities to apply machine learning in aerospace, aviation, and engineering contexts. Students have access to comprehensive campus labs and facilities, research opportunities through the Office of Undergraduate Research, and can participate in combined accelerated bachelor's-to-master's programs to fast-track their education.
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
- Flexible & Intelligent Complex Systems (FICS)
Location Advantages: Located in Daytona Beach with proximity to aerospace industryAccess to flight simulators and aviation facilities for applied machine learning research
Doctoral Machine Learning Programs in Florida
University of Miami — Coral Gables, FL
Key Distinction: Majority of PhD students receive Graduate Research Assistantships. Full funding package includes annual salary + tuition coverage + health insurance
Hakia Insight: University of Miami's guarantee that PhD students receive full funding (salary + tuition + health insurance) is structural, not aspirational—this removes the financial lottery that defines PhD life at most schools and attracts students who can't afford unfunded years.
The Rosenstiel School offers PhD programs across multiple departments including Atmospheric Science, Data Science, Environmental Science and Policy, Marine Biology and Ecology, Marine Geosciences, Meteorology and Physical Oceanography, Ocean Engineering, and Ocean Sciences. The majority of PhD students receive Graduate Research Assistantships during their typical 5-year tenure. These assistantships provide comprehensive funding including annual salary, full tuition coverage, and health insurance, covering both cost of attendance and living expenses. The school offers diverse research opportunities spanning climate predictability, machine learning applications in atmospheric science, marine biogeochemistry, ocean-atmosphere interactions, flood risk assessment, marine conservation, wildfire impacts, and aerosol characterization. Faculty research involves cutting-edge areas like explainable machine learning for precipitation forecasts, Biogeochemical-Argo floats for studying nitrogen and sulfur cycles, prescribed burn impacts on air quality, mesoscale ocean processes, marine giant virus ecology, and data science applications in human mobility and conservation.
Programs Offered
- PhD in Marine, Atmospheric, and Earth Science — 4-6 years, on-campus. PhD
Research Labs and Institutes
- Frost Institute for Data Science & Computing (IDSC)
Industry Partners
- IBM (tech)
- Miami Heat (sports/entertainment)
- NASA (aerospace)
Notable Faculty
- Dr. Yelena Yesha — Knight Foundation Endowed Chair of Data Science and AI, blockchain, cybersecurity, big data analytics
Location Advantages:
University of Florida — Gainesville, FL
Key Distinction: UF's programs uniquely combine theoretical foundations with practical applications, offering both on-campus and online options through the ECE-EDGE program, with strong integration of AI and machine learning across business and engineering disciplines.
Hakia Insight: UF's ECE-EDGE program delivers PhD-level content online while maintaining integration with JPMorganChase partnerships, a rare combination that lets working professionals build AI credentials without relocating or sacrificing industry connections.
At the doctoral level, the University of Florida offers machine learning education through multiple programs including a Machine Learning (ECE) graduate certificate, MS in Artificial Intelligence Systems (MSAIS), and MS in Information Systems and Operations Management with Data Science concentration. These programs provide comprehensive training in machine learning foundations, AI systems, and data science applications.
Programs Offered
- Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
- Doctor of Science in Machine Learning — 4-6 years, online
Industry Partners
Notable Faculty
- Alina Zare — Fundamentals of Machine Learning
- Catia Silva — Fundamentals of Machine Learning
- José Príncipe — Machine Learning for Time Series, Neural Networks and Deep Learning
- Dapeng Oliver Wu — Pattern Recognition & Intelligent Systems
Location Advantages:
Florida Institute of Technology — Melbourne, FL
Key Distinction: Florida Tech's machine learning programs combine deep theoretical foundations with hands-on research experience, featuring specialized AI tracks and direct collaboration with faculty on cutting-edge projects in computer vision, neural networks, and intelligent systems.
Hakia Insight: Florida Tech's NASA and Engage-AI partnerships mean doctoral students don't defend dissertations in isolation—they defend work that feeds directly into contract deliverables, compressing the typical 2-3 year lag between PhD completion and industry relevance.
At the doctoral level, florida Institute of Technology offers multiple pathways for Machine Learning education through its Computer Science and Operations Research programs. The M.S. in Computer Science features a specialized artificial intelligence track with focused courses in machine learning, computer vision, robotics, and intelligent systems. Students gain hands-on experience in AI theory and application while working closely with internationally recognized faculty in a collaborative environment. The Operations Research Ph.D. program includes machine learning as a current research area alongside stochastic processes, optimization, and computational methods. Florida Tech also provides a Data Science Graduate Certificate covering applied machine learning at scale and big data processing. The programs emphasize research-driven, hands-on learning with opportunities for real-world application in areas like computer vision, neural networks, and AI-powered solutions.
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
- NEural TransmissionS (NETS) Lab
Industry Partners
- NASA (government)
- Engage-AI (nonprofit)
Notable Faculty
- Ryan T. White — deep learning, machine learning, artificial intelligence, computer vision, visual navigation
Admissions
GPA Requirement: 3.0. Application Deadline: June 8 for fall, October 14 for spring.
Requirements: statistics (3 credit hours), computer programming (6 credit hours)
Accreditations and Certifications
- CAE-R Center of Academic Excellence in Cyber Defense Research
Location Advantages: Melbourne Campus locationAccess to space industry partnerships
Nova Southeastern University — Fort Lauderdale, FL
Key Distinction: NSU's AI program uniquely combines artificial intelligence education with cybersecurity expertise, preparing graduates specifically to protect and defend AI systems while addressing the critical global shortage of AI cybersecurity professionals.
Hakia Insight: NSU's explicit focus on AI cybersecurity—protecting AI systems rather than just building them—addresses a market gap most programs ignore; graduates enter a dramatically smaller talent pool competing for roles that currently command 15-25% salary premiums.
At the doctoral level, nova Southeastern University's Machine Learning program is delivered through their M.S. in Artificial Intelligence offered by the College of Computing, AI, and Cybersecurity. This comprehensive program provides students with foundational AI theory and practice, addressing the global workforce shortage where AI talent needs to grow at least 75% to meet demand. The program offers two distinct concentrations: Cybersecurity and Data Science, allowing students to specialize based on career goals. The curriculum prepares responsible, well-rounded graduates capable of protecting and defending artificial intelligence systems and users. Students gain both technical and theoretical foundations to become AI professionals, with particular emphasis on developing depth in core AI concepts. The program is designed to meet high industry demand for AI professionals who can support and defend organizations' critical assets.
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
Industry Partners
- Microsoft (corporate)
- IBM (corporate)
- Google (corporate)
Career Outcomes
Top Employers: Microsoft, IBM, Google.
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.
Requirements:
Location Advantages:
