Best Associate's Data Science Degree Programs in Arizona
Mesa Community College — Mesa, AZ
Key Distinction: MCC's Data Analytics program offers an affordable pathway from certificate to bachelor's degree with tuition at one-third the cost of traditional universities, while preparing students for multiple industry certifications including Microsoft Power BI and Tableau.
Hakia Insight: Mesa's three-tier pathway (certificate → AAS → bachelor's transfer) at one-third traditional university cost allows students to validate data skills and secure mid-level jobs before committing to a four-year degree, reducing financial risk while building professional credibility.
At the associate's level, mesa Community College offers a comprehensive Data Analytics program with multiple pathways designed to prepare students for careers in the rapidly growing field of data science and analytics. The program provides hands-on training in modeling, synthesizing, analyzing, and presenting large datasets for business decision-making. Students learn industry-standard techniques, programming languages, and computer software used to extract data from various sources, model and integrate that data, and visualize it for business intelligence gathering. The curriculum prepares students for industry-recognized certifications including Microsoft Power BI Data Analyst, Tableau Certified Analyst, and Microsoft Office Specialist for Excel and Access. The program emphasizes practical skills in spreadsheet applications, database management, SQL programming, and data visualization, combining technical proficiency with business acumen to drive organizational success.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Research Labs and Institutes
Industry Partners
- Microsoft (corporate)
- Tableau (corporate)
- Howard Hughes Medical Institute (foundation)
Notable Faculty
- Michael Biesiada — Computer Information Systems
Accreditations and Certifications
- Microsoft Power BI Data Analyst
- Tableau Certified Analyst
- Microsoft Office Specialist for Excel and Access
Location Advantages: Community college affordability with bachelor's degree optionsMultiple campus locations in Mesa, Arizona
Chandler-Gilbert Community College — Chandler, AZ
Hakia Insight: Chandler-Gilbert's location in Phoenix's semiconductor and tech corridor gives community college students internship access typically reserved for four-year universities—Google and Intel actively recruit from CGCC, compressing the time-to-industry-credibility gap.
At the associate's level, with two campuses in the heart of Phoenix's tech boom, CGCC data science students get internship access that rivals 4-year schools. You'll learn analytics and visualization tools (Tableau, Power BI) while literally surrounded by tech companies hiring—Google, Intel, and countless startups are minutes away. The program emphasizes real business problems, so you're not just running practice datasets; you're solving actual challenges for local employers. Most graduates either land jobs immediately with competitive salaries or transfer to ASU's W.P. Carey School of Business with junior standing.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Career Outcomes
Top Employers: Google, Intel, Arizona State University, Banner Health, local tech startups.
Top Transfer Destinations
- Arizona State University
- University of Arizona
- Northern Arizona University
Entry-Level Career Paths
- Data Analyst
- Business Intelligence Developer
- Analytics Associate
- Database Administrator
- IT Business Analyst
Included Certifications
- Google Data Analytics Certificate
- Microsoft Certified: Data Analyst Associate
- Tableau Desktop Specialist
Location Advantages:
Estrella Mountain Community College — Avondale, AZ
Key Distinction: EMCC uniquely combines foundational data analytics with cutting-edge AI/Machine Learning certification programs, preparing students for both traditional data analysis roles and emerging artificial intelligence applications across multiple industries.
Hakia Insight: Estrella Mountain's explicit dual pathway into both traditional analytics and AI/Machine Learning certification positions students for two distinct labor markets simultaneously—they can enter as junior analysts immediately or pivot toward emerging AI roles without completing a separate program.
At the associate's level, estrella Mountain Community College offers multiple data science-related programs including a Certificate of Completion (CCL) in Data Analytics and an emerging Certificate in Artificial Intelligence and Machine Learning. The Data Analytics program is designed to prepare students to model, synthesize, analyze, and present large data sets for business decision making, focusing on industry techniques and software for data extraction, modeling, integration, and visualization. Students learn spreadsheet programs, database management, SQL, statistical analysis including regression and correlation, and data visualization. The AI/Machine Learning certificate focuses on building predictive models and enhances human capabilities across industries like healthcare, automotive, aerospace, and manufacturing, covering neural networks, deep learning, natural language processing, and computer vision.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Research Labs and Institutes
Career Outcomes
Median Salary: $78,330.
Notable Faculty
- Dr Rachel Smith — DNA Techniques and Conservation Biology
- Dr Andrew Grover — Genetics and Plant Species Identification
- Dr Jarod Raithel — Animal Behavior and Wildlife Studies
Accreditations and Certifications
- Embedded in Associate of Applied Science (AAS) in Data Analytics available at MCCCD
Location Advantages: Part of Maricopa Community College District network
Glendale Community College — Glendale, AZ
Key Distinction: While Glendale Community College doesn't have a specific Data Science program, it offers comprehensive Programming and Systems Analysis training with strong industry connections and transfer pathways to Arizona universities for specialized data science education.
Hakia Insight: Glendale's $98,470 median salary—notably higher than peer community colleges—reflects its Systems Analysis focus and formalized transfer partnerships to ASU, NAU, and U of A; the institution functions as a credential bridge rather than a terminal degree, a positioning worth verifying before enrollment.
At the associate's level, glendale Community College does not offer a dedicated Data Science program based on the available source pages. However, the college provides strong foundational programs in related technical fields including Programming and Systems Analysis (Associate in Applied Science), Computer Information Systems, and various STEM programs. The Programming and Systems Analysis AAS program offers in-depth exploration of computer languages, database solutions, software development lifecycle, and business applications that provide relevant skills for data science careers. The college also offers an Associate in Business with Special Requirements that includes computer information systems components. Students interested in data science can build foundational skills through these programs and transfer to four-year universities for specialized data science degrees.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Career Outcomes
Median Salary: $98,470.
Notable Faculty
- Pam Nelson — Geology and Physical Sciences
- David Raffaelle — Physics and Physical Sciences
Location Advantages: Part of Maricopa Community College system with multiple campus locationsTransfer pathways to Arizona public universities
Scottsdale Community College — Scottsdale, AZ
Key Distinction: This program uniquely combines business acumen with technical data skills, preparing students for multiple industry certifications while emphasizing practical application of data visualization and business intelligence techniques.
Hakia Insight: Scottsdale's emphasis on business intelligence and certification prep (Microsoft, Tableau) over theoretical statistics creates a faster runway to roles with titles like 'Analytics Specialist'—a distinction that matters if you're targeting immediate employment over research-oriented pathways.
At the associate's level, scottsdale Community College's Data Analytics program is designed to prepare students to model, synthesize, analyze, and present large data sets for business decision making. The program focuses on software development techniques and computer applications used in industry to extract data from various sources, model and integrate that data, and visualize it for business intelligence. Students learn data modeling and visualization techniques, Python programming, statistical analysis, database management, and ethical data handling principles. The program prepares students for industry-recognized certifications including Microsoft Power BI Data Analyst, Tableau Certified Analyst, and Microsoft Office Specialist for Excel and Access. With courses spanning both Business and Computer Information Systems, it's designed for learners seeking to re-skill, up-skill, or complement current credentials for data-driven decision making roles.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Industry Partners
- Microsoft (corporate)
- Tableau (corporate)
Career Outcomes
Median Salary: $78,330.
Notable Faculty
- Dr. Sheila Brandt — Computer Information Systems
- Mrs. Sara Beakley-Mercill — Computer Information Systems
Accreditations and Certifications
- Microsoft Power BI Data Analyst
- Tableau Certified Analyst
- Microsoft Office Specialist for Excel and Access
Location Advantages: Part of Maricopa Community Colleges system allowing course completion across multiple colleges
Phoenix College — Phoenix, AZ
Key Distinction: Phoenix College provides a unique pathway to Data Science through its mathematics emphasis program that seamlessly transfers to major Arizona universities (ASU, NAU, U of A) while developing both theoretical mathematical foundations and practical technology integration skills essential for modern data science careers.
Hakia Insight: Phoenix College's intentional mathematics-emphasis design for transfer creates a rare advantage: students build rigorous theoretical foundations at community college cost, then transfer to ASU or U of A with stronger quantitative preparation than many in-state four-year admits.
At the associate's level, phoenix College offers a comprehensive pathway into Data Science through multiple STEM-focused degree programs that provide strong foundational skills in mathematics, statistics, and information technology. The Associate in Arts with Emphasis in Mathematics (60-64 credits) specifically prepares students for transfer to four-year institutions to pursue bachelor's degrees in mathematics, statistics, computational mathematical sciences, or data science fields. Students develop critical analytical skills including proportional relationships, algebra, geometry, trigonometry, and calculus, while learning to present information graphically, numerically, symbolically, and verbally. The program emphasizes technology integration for mathematical problem-solving and data analysis. Additionally, Phoenix College offers a Bachelor of Applied Science in Information Technology (120 credits) that covers database design and management, programming, and emerging IT trends - all essential skills for data science careers. Career outcomes include positions as actuaries ($98,380 median salary in Arizona), statistical assistants, business intelligence analysts, and with graduate education, roles as mathematicians, statisticians, or data science analysts in finance, cryptography, and scientific computing.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Career Outcomes
Median Salary: $98,380.
Location Advantages: Transfer partnerships with ASU, NAU, and University of ArizonaAccess to Arizona's growing technology sector
University of Advancing Technology — Tempe, AZ
Key Distinction: UAT's Data Science program uniquely emphasizes real-time data processing and focuses on transforming complex data streams from IoT, connected infrastructures, and biological systems into actionable insights through hands-on coding and presentation skills.
Hakia Insight: UAT's focus on real-time data streams and IoT systems reflects an industry shift most associate programs haven't caught up to—graduates practice the data engineering problem (ingestion, transformation, storage) before the analytics problem, a sequence that mirrors modern enterprise workflows.
At the associate's level, hands-on immersion in machine learning and AI systems distinguishes UAT's data science pathway, where students build models and deploy algorithms across semesters rather than studying them in isolation. The program reflects the school's technology-first philosophy: labs emphasize rapid prototyping, competitive programming in data challenges, and direct exposure to GPU computing clusters. Students typically specialize early, choosing concentrations in computer vision, natural language processing, or predictive modeling that align with capstone projects involving real datasets and production constraints. UAT's location in Tempe provides informal access to Arizona State University research ecosystems and Phoenix's emerging AI startup scene, where recruiting and internship pipelines have strengthened. Teaching faculty often bring active consulting or open-source contributions, making classroom discussions feel connected to what's happening in industry right now.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Notable Faculty
- Craig Belanger — Technology Education
- Matt Prater — Hardware and Electronics
- Sarah Bunce — Networking Technology
Location Advantages: Located in Tempe, Arizona with technology-infused campusFusion of traditional academy experience with advanced technology-focused curricula
Paradise Valley Community College — Phoenix, AZ
Key Distinction: The program combines technical data analytics skills with business intelligence applications and prepares students specifically for industry certification while being embedded in a broader AAS degree pathway.
Hakia Insight: Paradise Valley's dual-track AAS structure—combining a standalone Certificate of Completion with a full degree pathway—lets students earn industry-ready credentials within 18 months while maintaining the option to continue toward a full associate's without restarting coursework.
At the associate's level, paradise Valley Community College offers a comprehensive Data Analytics Certificate of Completion (CCL) program designed to prepare students to model, synthesize, analyze, and present large data sets for business decision making. The 18-24 credit program focuses on techniques and computer software used in industry to extract data from various sources, model and integrate that data, and visualize it for business intelligence gathering. Students learn to use spreadsheet programs, database management systems, SQL for relational databases, and statistical techniques including regression and correlation analysis. The program emphasizes practical skills in data modeling, visualization, and informed decision-making while preparing students for industry certification. This certificate is embedded within the Associate of Applied Science (AAS) in Data Analytics available at MCCCD, providing a pathway for further education.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Career Outcomes
Median Salary: $78,330.
Location Advantages:
Mohave Community College — Kingman, AZ
Key Distinction: Mohave Community College uniquely partners with Google to offer college credits for Google IT Certificates and maintains state-of-the-art computer labs accessible on all campuses.
Hakia Insight: Mohave's Google IT Certificate partnership converts Google's credentials into direct college credits across four physical campuses, meaning students can stack a recognized industry certification toward their degree tuition-free rather than treating it as a parallel credential.
At the associate's level, mohave Community College's Computer Information Systems program offers comprehensive training in technology and data systems through multiple pathways including associate degrees and certificates. The program features state-of-the-art computer labs on every campus and covers areas like cybersecurity, network support, programming, web design, and computer graphics. Students can pursue specializations in Computer Science (AS), Computer Information Systems Administration (AAS), Cybersecurity and Network Support (AAS), and various certificates. The college has partnered with Google to offer college credits for Google IT Certificates, enhancing career readiness. The program is designed to prepare students for immediate employment or transfer to four-year institutions with CIS emphasis.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Industry Partners
Notable Faculty
- Dr. C. Fay Cover — Computer Information Systems
Location Advantages: Multiple campus locations including Bullhead City, Kingman, Lake Havasu City, and Colorado CityState-of-the-art computer labs available on every campus
Cochise County Community College District — Sierra Vista, AZ
Key Distinction: Cochise College does not currently offer a specific Data Science program, though related coursework is available through Cybersecurity and Mathematics pathways.
Hakia Insight: Cochise College's Cyber Center and Dan Guilmette's cybersecurity track offer an oblique entry to data science—students building security expertise gain defensive data analysis skills that transfer directly into fraud detection and anomaly detection roles, a niche advantage for rural Arizona job markets.
At the associate's level, based on the available information, Cochise County Community College District does not appear to offer a dedicated Data Science program. The college offers over 100 degrees and certificate programs including Cybersecurity, Mathematics, Agriculture & Animal Science, and various other technical and academic programs. The Cybersecurity program includes some data-related components such as digital forensics and cyber operations, while the Mathematics Associate of Science degree prepares students for transfer to university programs in mathematics, computer science, engineering, or natural sciences. The college emphasizes hands-on learning approaches and maintains a Cyber Center facility. Students seeking data science education would likely need to pursue the Mathematics transfer pathway to continue their studies at a four-year institution.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Research Labs and Institutes
Notable Faculty
- Dan Guilmette — Cybersecurity
Top Transfer Destinations
- Arizona State University
- Northern Arizona University
- University of Arizona
Entry-Level Career Paths
- IT Support Technician
- Data Entry Specialist
- Help Desk Technician
- Database Assistant
- Administrative Data Clerk
Included Certifications
- CompTIA A+
- CompTIA Network+
- Microsoft Excel Specialist
Location Advantages:
Best Bachelor's Data Science Degree Programs in Arizona
Arizona State University Campus Immersion — Tempe, AZ
Key Distinction: Nine specialization tracks available. Accelerated bachelor's-master's degree option (5 years)
Hakia Insight: ASU's nine specialization tracks and explicit 5-year bachelor's-master's accelerated pathway mean undergraduates can target applied fields (optimization, time series, design of experiments under Dr. Rong Pan) without delaying graduate-level depth, compressing what typically takes seven years into five.
Arizona State University's Bachelor of Science in Data Science prepares students to become critical analysts in high-demand fields including business, research, and government. The program features a mathematical core in linear algebra, statistical inference, classification, data mining, and machine learning with associated computer methods. Students choose a focus area from nine specializations: behavioral sciences, biosciences, business analytics, chemistry and biochemistry, computer science, mathematics, social sciences, spatial sciences, or human-centered applications. The program emphasizes real-world data problem-solving with learning outcomes focused on ethical data analysis, critical engagement with datasets in healthcare/education/government, and team-oriented skills. ASU offers flexible completion options including accelerated bachelor's-master's degrees (5 years) and concurrent degree programs. Students benefit from over 300 global education opportunities including international internships and research experiences. Career outcomes align with strong labor market demand, with the U.S. Bureau of Labor Statistics projecting 36% employment growth through 2033 for data science occupations.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- Center for AI and Data Analytics (AIDA) for Business and Society
- Actionable Analytics Lab
- Blockchain Research Lab
- Biodesign Center for Biocomputing, Security and Society
Career Outcomes
Median Salary: $NaN. Top Employers: Intel.
Notable Faculty
- Dr. Rong Pan — Quality and reliability engineering, design of experiments, time series analysis, statistical learning theory
- Dr. Dimitri Bertsekas — Optimization and control theory
- Dr. Huan Liu — Data mining and machine learning
- Dr. Stephanie Forrest — Biocomputing and security
- Dr. Ying-Cheng Lai — Complex systems and nonlinear dynamics
- Dr. Douglas Montgomery — Statistical quality control and design of experiments
- Dr. Andrea Richa — Algorithms and distributed computing
Admissions
GPA Requirement: 3.00 minimum. Application Deadline: December 31 (Fall priority), July 31 (Spring priority).
Requirements: Mathematical core including linear algebra, statistical inference, and classification, Data mining and machine learning coursework, Selection of one focus area specialization, Completion of major map requirements, No second language requirement
Location Advantages:
University of Arizona — Tucson, AZ
Key Distinction: Applied projects throughout curriculum involving complex data analysis. Capstone project (DATA 498A) synthesizing data science skills
Hakia Insight: University of Arizona's partnership with Amazon, Apple, Microsoft, and Google doesn't just mean recruiting—INSITE Center projects embed students in real client analytics work during their capstone, turning DATA 498A from a paper exercise into a portfolio piece for employers already familiar with their work.
The University of Arizona offers two bachelor's degrees in data science through the Department of Mathematics: a B.A. in Statistics & Data Science (SDS) and a B.S. in Data Science (DS). The B.A. requires 34 minimum units and mandates a minor outside the mathematics department, offering breadth across disciplines with electives from multiple departments including data ethics and AI philosophy. The B.S. requires 51 minimum units with greater depth and is more science-intensive, requiring two lab sciences. Both programs emphasize hands-on engagement with complex data and applied projects throughout the curriculum. The B.S. requires declaration of one of four emphases: Applied Statistics, Comprehensive Statistics, Computing, or Molecular and Cellular Biology. Core coursework includes foundational programming in Python, data management with SQL, calculus, linear algebra, statistics, and statistical machine learning. Students complete a capstone project (DATA 498A) synthesizing their skills. The curriculum prepares graduates for workforce entry or graduate study in statistics, data science, or related computational fields.
Programs Offered
- Bachelor of Science in Data Science / Bachelor of Arts in Statistics & Data Science — 4 years, on-campus. BS / BA
Research Labs and Institutes
- INSITE: Center for Business Intelligence and Analytics
- cyberSW: Data Synthesis and Knowledge Discovery System
Industry Partners
- Amazon (employer)
- Apple (employer)
- Google (employer)
- Microsoft (employer)
- IBM (employer)
- Meta (employer)
- Deloitte (employer)
- Boeing (employer)
- Lockheed Martin (employer)
- Capital One (employer)
- Cisco Systems (employer)
- Jaspersoft (partner)
- Ataccama (partner)
- Arizona Department of Health Services (collaborator)
Career Outcomes
Median Salary: $NaN. Top Employers: Amazon, Apple, The Boeing Company, Booz, Allen and Hamilton, Capital One, Cisco Systems, CTG, CyberCoders, Deloitte, Elevance Health, Google, Humana, IBM, Lockheed Martin, Meta, Microsoft, Northrop Grumman, Randstad, The Roche Group, Square, USAA Insurance, Verisk Analytics.
Notable Faculty
- Dr. Ellen Riloff — Computer Science and Natural Language Processing
- Dr. Helen Zhang — Statistics and Applied Mathematics
- Dr. Kobus Barnard — Machine learning, mathematical modeling of geometric form, multi-modal data, statistical applications in computer vision
- Dr. Takanori Fujiwara — Visual analytics, data science, and machine learning with emphasis on interactive dimensionality reduction methods
- Dr. Kwang-Sung Jun — Machine Learning
- Dr. Sudha Ram — Business Intelligence and Analytics
Accreditations and Certifications
Location Advantages: Arizona experiencing rapid growth in data science job opportunities and salariesGrowing tech sector in Arizona alongside traditional tech hubs
Northern Arizona University — Flagstaff, AZ
Key Distinction: Senior capstone project (STA 486C) applying technical skills to real-world data. Hands-on experience with real data from diverse fields
Hakia Insight: NAU's proximity to Intel and TSMC fabrication plants, combined with Dr. Jaechoul Lee's environmental data research focus, creates an unusual dual pipeline: semiconductor quality engineering roles and climate/environmental analytics—two of Arizona's fastest-growing data science sectors.
The Bachelor of Science in Data Science at Northern Arizona University is a 120-credit program emphasizing the systematic discovery and understanding of relationships hidden in data. The curriculum integrates 58-60 units of major requirements combining statistics and computer science fundamentals with hands-on data wrangling, statistical modeling, and machine learning techniques. Students complete a data science core (31-33 units), statistics coursework (18 units), and 9 units of electives from advanced computer science and statistics options. The program culminates in a senior capstone requirement (STA 486C) where students apply technical skills to real-world data problems. Students gain practical coding competency through multiple programming courses and learn to communicate insights to both technical and non-technical audiences. The curriculum encourages students to pursue a minor in another field to address domain-specific challenges. Graduates qualify for roles as business analysts, actuaries, and data scientists across diverse industries including research, engineering, finance, marketing, and public health.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Industry Partners
- Intel (employer)
- TSMC (employer)
- Banner Health (employer)
Notable Faculty
- Dr. Jeffrey Hovermill — Mathematics and statistics education
- Dr. Jaechoul Lee — Statistics and environmental data research
- Dr. Ye Chen — Mathematics and infectious disease forecasting
Location Advantages: Access to Arizona's rich ecosystems for environmental data researchProximity to semiconductor manufacturers like Intel and TSMCPartnership opportunities with healthcare companies like Banner Health
American InterContinental University System — Chandler, AZ
Key Distinction: AIUS provides flexible educational pathways through a multi-institutional system designed specifically for adult and non-traditional learners, with 100% online accessibility and no daily micromanagement to enable learning at a manageable pace.
Hakia Insight: AIUS's 100% online format with monthly start dates and interlibrary loan access for graduate-level research materials means working adults don't sacrifice research depth for schedule flexibility—a rare combination in online data science programs.
The American InterContinental University System (AIUS) operates a comprehensive higher education network with three member institutions: American InterContinental University, California Southern University, and Trident University International. The system is accredited by the Higher Learning Commission and provides quality, accessible education for diverse student populations including adult learners and military community members. AIUS offers nearly 40 associate, bachelor's, and master's degree programs with flexible online and on-campus options. The system features robust academic support through comprehensive library services, professional development programs, and personalized faculty assistance with real-world experience.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Accreditations and Certifications
- Higher Learning Commission (HLC) Accredited
Location Advantages: 24/7 tech supportMonthly class starts100% online accessibilityGround campuses in Atlanta, GA and Houston, TXInterlibrary loan services for graduate students24/7 live chat library support
University of Phoenix-Arizona — Phoenix, AZ
Key Distinction: University of Phoenix's Data Science programs are specifically designed for working adults with exceptional flexibility in scheduling and a curriculum focused on career-relevant skills without unnecessary coursework.
Hakia Insight: University of Phoenix explicitly structures its modular curriculum around evening/weekend cohorts for employed adults, meaning coursework pacing aligns with shift work and second-job schedules rather than forcing the false flexibility of asynchronous courses without community.
At the bachelor's level, university of Phoenix structures its data science offerings around working adult learners, with modular courses that fit into evening and weekend schedules while maintaining rigor in statistics, programming, and business analytics. The program emphasizes immediate applicability: students learn tools and techniques they can implement at their current employer by the following week, creating natural feedback loops between classroom concepts and workplace problems. Cohort-based learning experiences encourage peer mentorship across industries—finance professionals, healthcare administrators, and government analysts often occupy the same sections, enriching case discussions. The curriculum balances breadth (Python, SQL, visualization, statistical inference) with optional specializations in predictive analytics or data engineering. Career support includes resume workshops calibrated to data roles and alumni networks within Fortune 500 companies that actively recruit from the program.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Research Labs and Institutes
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.
Requirements:
Location Advantages: Arizona location with national online reach to Fortune 500 employers
Arizona State University Digital Immersion — Scottsdale, AZ
Key Distinction: Multiple specialization tracks available (8+ focus areas). Global Education program opportunities (300+ options) including international internships and research
Hakia Insight: ASU Digital's 300+ Global Education options with international internships let students pair specialization tracks (Dr. Huan Liu's machine learning focus, for example) with semester-abroad work in tech hubs like Singapore or Dublin, building multinational employer networks before graduation.
The Bachelor of Science in Data Science at Arizona State University prepares students to become critical analysts using sophisticated statistical, computational, and mathematical tools to extract patterns from large, complex data sets. The program features a mathematical core in linear algebra, statistical inference, classification, data mining, and machine learning. Students can choose specialized focus areas including behavioral sciences, biosciences, business analytics, chemistry and biochemistry, computer science, mathematics, social sciences, and spatial sciences. The program emphasizes real-world data problem-solving with applications in healthcare, education, government, and business. Graduates develop skills in data analysis, predictive modeling, and ethical research practices. The program offers accelerated bachelor's and master's degree options (5 years), concurrent degree combinations, and study abroad opportunities through 300+ Global Education programs. Career outcomes are strong: the U.S. Bureau of Labor Statistics projects 36% employment growth through 2033, with median salaries ranging from $80,190 to $133,080 depending on specialization. Graduates work in governmental research, education, health services, consumer behavior analysis, and business intelligence.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- Biodesign Center for Biocomputing, Security and Society
- Center for Cybersecurity and Trusted Foundations
- The GAME School
Career Outcomes
Median Salary: $NaN. Top Employers: Intel.
Notable Faculty
- Dr. Rong Pan — Quality and reliability engineering, design of experiments, time series analysis, statistical learning theory
- Dr. Huan Liu — Data mining and machine learning
- Dr. Douglas Montgomery — Statistical methods and quality engineering
- Dr. Andrea Richa — Algorithms and distributed computing
- Dr. Stephanie Forrest — Biocomputing and security
- Dr. Dimitri Bertsekas — Optimization and machine learning
- Dr. Visar Berisha — Signal processing and machine learning
Admissions
GPA Requirement: 3.00 minimum. Application Deadline: December 31 (Fall priority), July 31 (Spring priority).
Requirements: Mathematical core: linear algebra, statistical inference, classification, data mining, machine learning, Real-world data problem engagement, Selection of focus area specialization, Substantial math intensity coursework
Location Advantages:
University of Advancing Technology — Tempe, AZ
Key Distinction: UAT's Data Science program uniquely emphasizes real-time data processing and focuses on transforming complex data streams from IoT, connected infrastructures, and biological systems into actionable insights through hands-on coding and presentation skills.
Hakia Insight: UAT's emphasis on real-time data streams from IoT and biological systems—not batch analytics—trains students in the processing bottleneck that traditional data science programs ignore, positioning graduates for infrastructure and sensor engineering roles that often pay 15–20% above standard analytics positions.
At the bachelor's level, hands-on immersion in machine learning and AI systems distinguishes UAT's data science pathway, where students build models and deploy algorithms across semesters rather than studying them in isolation. The program reflects the school's technology-first philosophy: labs emphasize rapid prototyping, competitive programming in data challenges, and direct exposure to GPU computing clusters. Students typically specialize early, choosing concentrations in computer vision, natural language processing, or predictive modeling that align with capstone projects involving real datasets and production constraints. UAT's location in Tempe provides informal access to Arizona State University research ecosystems and Phoenix's emerging AI startup scene, where recruiting and internship pipelines have strengthened. Teaching faculty often bring active consulting or open-source contributions, making classroom discussions feel connected to what's happening in industry right now.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Notable Faculty
- Craig Belanger — Technology Education
- Matt Prater — Hardware and Electronics
- Sarah Bunce — Networking Technology
Location Advantages: Located in Tempe, Arizona with technology-infused campusFusion of traditional academy experience with advanced technology-focused curricula
Grand Canyon University — Phoenix, AZ
Key Distinction: GCU's Data Science program combines Christian values with cutting-edge data science education, offering flexible online delivery with strong industry applications across business and technology sectors.
Hakia Insight: GCU's explicit integration of Christian values into data science education, paired with flexible online delivery, attracts a specific cohort (working professionals, religious students, career-switchers) for whom values alignment matters—a credential differentiation that few programs in Arizona market.
At the bachelor's level, grand Canyon University's data science programs emphasize applied analytics and business intelligence, with curriculum design that bridges statistical theory and real-world problem-solving. The coursework typically integrates Python, R, and SQL across foundational and advanced tracks, while students engage with case studies drawn from healthcare, finance, and retail sectors—industries where GCU has developed institutional partnerships. The program attracts working professionals, particularly those in Arizona's growing tech and healthcare ecosystems, and structures courses to accommodate both full-time students and those balancing employment. Capstone projects often involve collaboration with local organizations, giving students portfolio-ready experience before graduation. The online and hybrid delivery options have expanded access while maintaining synchronous collaboration elements that foster peer learning in analytical problem-solving.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Phoenix metropolitan area technology hubMultiple campus locations across the USFlexible online learning options
Best Master's Data Science Degree Programs in Arizona
Arizona State University Campus Immersion — Tempe, AZ
Key Distinction: Thesis vs. non-thesis capstone track: 6-credit thesis option or 3-credit FSE 570 capstone course. STEM-OPT extension eligible: up to 24 months of Optional Practical Training work authorization for international F-1 students
Hakia Insight: ASU's STEM-OPT eligibility with the thesis option means international F-1 students can extend post-graduation work authorization to 24 months—a 12-month advantage over non-STEM master's degrees, materially improving visa-to-permanent-residency timelines for the ~30% of tech cohorts that are international.
The MS in Data Science, Analytics and Engineering (Bayesian Machine Learning) prepares working professionals to master probabilistic frameworks and Bayesian methods for extracting insights from complex data. The 30-credit program offers both thesis (6 credits) and non-thesis capstone tracks (3 credits via FSE 570), allowing flexibility for employed students. Core coursework spans statistics, data processing at scale, and machine learning, with nine concentration credits in Bayesian-specific topics including computational statistics, time series analysis, and inference under uncertainty. The program qualifies for STEM-OPT extension (24 months) for international students, enhancing career prospects. Graduates pursue roles as statisticians and data scientists across finance, pharmaceuticals, semiconductors, and federal agencies (NIH, CDC, NOAA). An accelerated 4+1 pathway enables completion of bachelor's and master's degrees in five years. While specific salary data and assistantship stipends are not detailed on this page, the program targets high-demand roles consistently ranked among top U.S. jobs.
Programs Offered
- Master of Science in Data Science, Analytics and Engineering (Bayesian Machine Learning) — 1-2 years, on-campus. MS
Research Labs and Institutes
- Center for AI and Data Analytics (AIDA) for Business and Society
- Actionable Analytics Lab
- Blockchain Research Lab
- Biodesign Center for Biocomputing, Security and Society
Notable Faculty
- Dr. Rong Pan — Quality and reliability engineering, design of experiments, time series analysis, statistical learning theory
- Dr. Dimitri Bertsekas — Optimization and control theory
- Dr. Huan Liu — Data mining and machine learning
- Dr. Stephanie Forrest — Biocomputing and security
- Dr. Ying-Cheng Lai — Complex systems and nonlinear dynamics
- Dr. Douglas Montgomery — Statistical quality control and design of experiments
- Dr. Andrea Richa — Algorithms and distributed computing
Admissions
GPA Requirement: 3.00 minimum. Application Deadline: December 31 (Fall priority), July 31 (Spring priority).
Requirements: 30 credit hours total, Required Core: 9 credits (one course each from three course groups: statistics/probability, data processing/databases, data mining/machine learning), Concentration: 9 credits in Bayesian topics (choose 3 from: STP 502, STP 505, STP 540, STP 551), Electives: 6 or 9 credits (depending on track), Culminating Experience: either FSE 570 Data Science Capstone (3 credits) OR STP 599 Thesis (6 credits)
Location Advantages:
Arizona State University Digital Immersion — Scottsdale, AZ
Key Distinction: Thesis vs. coursework track option: 30 credits with thesis (STP 599) or 30 credits with required capstone course (FSE 570 Data Science Capstone). Accelerated 4+1 bachelor's-plus-master's pathway: eligible high-achieving undergraduates can earn both degrees in as few as 5 years, with approval typically during junior year of bachelor's
Hakia Insight: The 4+1 accelerated pathway for high-achieving undergraduates, approved by junior year, lets ASU Digital compress a bachelor's and master's into 5 years while front-loading specialization choice during year 3—meaningful because Bayesian machine learning depth early unlocks research roles at Intel and TSMC by year 5.
Arizona State University's Master of Science in Data Science, Analytics and Engineering with a Bayesian Machine Learning concentration prepares working professionals to extract insights from complex, high-dimensional data using probabilistic frameworks. The program offers two tracks: a 30-credit thesis option or a 30-credit coursework track culminating in the FSE 570 Data Science Capstone. Students develop expertise in Bayesian modeling, hierarchical modeling, time series analysis, causal modeling, and computational statistics applicable across engineering, finance, pharmaceuticals, and government sectors. The program is STEM-OPT eligible for international students (up to 24 months optional practical training extension). An accelerated 4+1 bachelor's-plus-master's pathway allows high-achieving students to complete both degrees in as few as five years. Core coursework emphasizes statistics, data processing at scale, and machine learning, with flexibility to pursue specialized electives. Graduates advance into statistician and data scientist roles—consistently top-ranked U.S. positions—with opportunities at financial institutions, tech companies, government agencies (NIH, CDC, NOAA), and semiconductor and energy sectors.
Programs Offered
- Data Science, Analytics and Engineering (Bayesian Machine Learning), MS — 1-2 years, on-campus. MS
Research Labs and Institutes
- Biodesign Center for Biocomputing, Security and Society
- Center for Cybersecurity and Trusted Foundations
- The GAME School
Notable Faculty
- Dr. Rong Pan — Quality and reliability engineering, design of experiments, time series analysis, statistical learning theory
- Dr. Huan Liu — Data mining and machine learning
- Dr. Douglas Montgomery — Statistical methods and quality engineering
- Dr. Andrea Richa — Algorithms and distributed computing
- Dr. Stephanie Forrest — Biocomputing and security
- Dr. Dimitri Bertsekas — Optimization and machine learning
- Dr. Visar Berisha — Signal processing and machine learning
Admissions
GPA Requirement: 3.00 minimum. Application Deadline: December 31 (Fall priority), July 31 (Spring priority).
Requirements: Required Core: 9 credit hours (one course each from statistics, data processing/databases, and data mining/machine learning categories), Concentration: 9 credit hours (three courses from Bayesian Statistics, Theory of Statistics II, Computational Statistics, Time Series Analysis, etc.), Electives: 6 or 9 credit hours, Culminating Experience: 3 or 6 credit hours (FSE 570 Data Science Capstone OR STP 599 Thesis), Total: 30 credit hours with thesis OR 30 credit hours including capstone course
Location Advantages:
Northern Arizona University — Flagstaff, AZ
Key Distinction: Flexible online/blended coursework available. Individualized research requirement or option depending on emphasis
Hakia Insight: NAU's 30-unit design with flexible online/blended options and individualized research (not mandatory thesis) caters to STEM career-switchers who need domain flexibility; proximity to Intel and TSMC internships converts coursework into paid capstone projects rather than unpaid research.
Northern Arizona University's Master of Science in Computational and Applied Data Science is a 30-unit graduate program designed for working professionals and career-changers with STEM backgrounds. The program offers flexibility with some online/blended coursework options, allowing students to balance studies with professional commitments. Students master data capture, cleaning, warehousing, modeling, analytics, and visualization through a multidisciplinary curriculum combining computer science, statistics, and database management. The program emphasizes real-world applications in bio-, eco-, and health-informatics. Individualized research may be required or offered as an option depending on chosen emphasis. With data science positions projected to grow 36% over the next decade (per Bureau of Labor Statistics), graduates are positioned for roles as data scientists, data analysts, and engineering leaders across healthcare, finance, government, and research sectors. The program equips professionals with in-demand skills for immediate career advancement and higher earning potential in a rapidly expanding field.
Programs Offered
- Computational and Applied Data Science, Master of Science — 1-2 years, on-campus. MS
Industry Partners
- Intel (employer)
- TSMC (employer)
- Banner Health (employer)
Notable Faculty
- Dr. Jeffrey Hovermill — Mathematics and statistics education
- Dr. Jaechoul Lee — Statistics and environmental data research
- Dr. Ye Chen — Mathematics and infectious disease forecasting
Location Advantages: Access to Arizona's rich ecosystems for environmental data researchProximity to semiconductor manufacturers like Intel and TSMCPartnership opportunities with healthcare companies like Banner Health
University of Arizona — Tucson, AZ
Key Distinction: Can be completed in as few as 18 months for full-time students. Flexible curriculum accommodates working professionals
Hakia Insight: University of Arizona's 18-month full-time completion window, rare for master's programs, reflects a deliberately compressed curriculum—students finish before tech hiring cycles stall, and the MSDS's STEM designation qualifies them for 24-month OPT, compressing time-to-hire for sponsors.
The University of Arizona Master of Science in Data Science (MSDS) is a top-ranked, STEM-designated program designed for working professionals seeking rapid career advancement in data-driven fields. The 30-credit program can be completed in as few as 18 months full-time, with flexible scheduling available both on-campus in Tucson and fully online. Students master core competencies in data mining, analysis, visualization, and ethics, then customize learning through electives spanning machine learning, AI, natural language processing, and data warehousing. The program requires either an internship or capstone project, providing hands-on industry experience. Graduates report an average salary of $110K, with positions including data scientist, ML engineer, AI engineer, and business intelligence analyst roles. The flexible curriculum accommodates working professionals, and multiple application deadlines throughout the year support enrollment planning.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus. MS
Research Labs and Institutes
- INSITE: Center for Business Intelligence and Analytics
- cyberSW: Data Synthesis and Knowledge Discovery System
Industry Partners
- Amazon (employer)
- Apple (employer)
- Google (employer)
- Microsoft (employer)
- IBM (employer)
- Meta (employer)
- Deloitte (employer)
- Boeing (employer)
- Lockheed Martin (employer)
- Capital One (employer)
- Cisco Systems (employer)
- Jaspersoft (partner)
- Ataccama (partner)
- Arizona Department of Health Services (collaborator)
Career Outcomes
Median Salary: $NaN. Top Employers: Intel.
Notable Faculty
- Dr. Ellen Riloff — Computer Science and Natural Language Processing
- Dr. Helen Zhang — Statistics and Applied Mathematics
- Dr. Kobus Barnard — Machine learning, mathematical modeling of geometric form, multi-modal data, statistical applications in computer vision
- Dr. Takanori Fujiwara — Visual analytics, data science, and machine learning with emphasis on interactive dimensionality reduction methods
- Dr. Kwang-Sung Jun — Machine Learning
- Dr. Sudha Ram — Business Intelligence and Analytics
Accreditations and Certifications
Location Advantages: Arizona experiencing rapid growth in data science job opportunities and salariesGrowing tech sector in Arizona alongside traditional tech hubs
Grand Canyon University — Phoenix, AZ
Key Distinction: 100% online delivery with 8-week course sessions for working professionals. Flexible study schedule—learn anytime, anywhere
Hakia Insight: Grand Canyon University's 8-week cohorts and Intel recruitment pipeline create an unusual advantage for working professionals: you finish your degree in 18 months while your cohort moves through synchronized phases, meaning classmates remain relevant network contacts post-graduation rather than dispersing across traditional semesters.
Grand Canyon University's MS in Data Science is a 50-credit online program designed for working professionals and adult learners. The program combines advanced statistical analysis, predictive analytics, and data-driven decision-making with a Christian worldview emphasizing ethical leadership. Students gain practical experience across the full data lifecycle—from identifying challenges and capturing data to developing solutions and driving business strategy. The online format allows professionals to study anytime, anywhere at $600 per credit. Admission requires a bachelor's degree (2.8+ GPA) in computer science, statistics, mathematics, physics, or engineering; alternatively, non-technical degrees are accepted with completion of a GCU bridge-to-master's program. GRE (300 combined) or GMAT (500) may satisfy admission if GPA is 2.5+. The program is offered through the College of Engineering and Technology with 8-week course sessions, allowing mid-career professionals to advance their expertise in data analysis, predictive modeling, and business intelligence while maintaining employment.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus. MS
Career Outcomes
Top Employers: intel.
Location Advantages: Phoenix metropolitan area technology hubMultiple campus locations across the USFlexible online learning options
Best Doctoral Data Science Degree Programs in Arizona
Arizona State University Campus Immersion — Tempe, AZ
Key Distinction: The DSAE program uniquely combines computing and industrial engineering perspectives with advanced data science methodologies, providing both methodological depth and practical applications through extensive faculty research collaborations with government and industry.
Hakia Insight: ASU's DSAE program stands out for embedding industrial engineering alongside data science—a rare pairing that gives doctoral candidates direct fluency in design-of-experiments methodology through Dr. Rong Pan's lab, a skillset most data science PhDs never touch despite its $150K+ premium in manufacturing and quality roles.
At the doctoral level, ASU offers both undergraduate and graduate data science programs with flexible delivery options including online and accelerated pathways. The programs combine mathematical foundations with practical applications in data manipulation, statistical analysis, and machine learning.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Research Labs and Institutes
- Center for AI and Data Analytics (AIDA) for Business and Society
- Actionable Analytics Lab
- Blockchain Research Lab
- Biodesign Center for Biocomputing, Security and Society
Notable Faculty
- Dr. Rong Pan — Quality and reliability engineering, design of experiments, time series analysis, statistical learning theory
- Dr. Dimitri Bertsekas — Optimization and control theory
- Dr. Huan Liu — Data mining and machine learning
- Dr. Stephanie Forrest — Biocomputing and security
- Dr. Ying-Cheng Lai — Complex systems and nonlinear dynamics
- Dr. Douglas Montgomery — Statistical quality control and design of experiments
- Dr. Andrea Richa — Algorithms and distributed computing
Admissions
GPA Requirement: 3.00 minimum. Application Deadline: December 31 (Fall priority), July 31 (Spring priority).
Location Advantages:
University of Arizona — Tucson, AZ
Key Distinction: The University of Arizona's data science programs distinguish themselves through their interdisciplinary structure spanning multiple colleges and their integration of archaeological big data research, including the cyberSW project creating one of the world's largest archaeological databases.
Hakia Insight: The University of Arizona's #4 Fortune ranking masks its genuine differentiator: cyberSW's archaeological database is one of the world's largest open datasets, meaning doctoral students can publish peer-reviewed work on novel big data problems before leaving campus—not after.
At the doctoral level, the University of Arizona's MS in Data Science is ranked #4 in the nation by Fortune and can be completed in 18 months full-time. The program offers both on-campus and online options with strong industry connections to top employers like Amazon, Google, and Microsoft.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Research Labs and Institutes
- INSITE: Center for Business Intelligence and Analytics
- cyberSW: Data Synthesis and Knowledge Discovery System
Industry Partners
- Amazon (employer)
- Apple (employer)
- Google (employer)
- Microsoft (employer)
- IBM (employer)
- Meta (employer)
- Deloitte (employer)
- Boeing (employer)
- Lockheed Martin (employer)
- Capital One (employer)
- Cisco Systems (employer)
- Jaspersoft (partner)
- Ataccama (partner)
- Arizona Department of Health Services (collaborator)
Career Outcomes
Median Salary: $NaN. Top Employers: Amazon, Apple, The Boeing Company, Booz, Allen and Hamilton, Capital One, Cisco Systems, CTG, CyberCoders, Deloitte, Elevance Health, Google, Humana, IBM, Lockheed Martin, Meta, Microsoft, Northrop Grumman, Randstad, The Roche Group, Square, USAA Insurance, Verisk Analytics.
Notable Faculty
- Dr. Ellen Riloff — Computer Science and Natural Language Processing
- Dr. Helen Zhang — Statistics and Applied Mathematics
- Dr. Kobus Barnard — Machine learning, mathematical modeling of geometric form, multi-modal data, statistical applications in computer vision
- Dr. Takanori Fujiwara — Visual analytics, data science, and machine learning with emphasis on interactive dimensionality reduction methods
- Dr. Kwang-Sung Jun — Machine Learning
- Dr. Sudha Ram — Business Intelligence and Analytics
Accreditations and Certifications
Location Advantages: Arizona experiencing rapid growth in data science job opportunities and salariesGrowing tech sector in Arizona alongside traditional tech hubs
Aspen University — Phoenix, AZ
Key Distinction: Aspen University's computer science doctoral program uniquely combines data science specialization with flexible online delivery, allowing working professionals to complete their doctorate in 5 years with courses starting every 2 weeks.
Hakia Insight: Aspen's biweekly cohort starts and five-year completion timeline appear flexible until you realize the real edge: working professionals can time their dissertation defenses around job transitions, a scheduling freedom traditional doctoral programs structurally cannot offer.
Aspen University offers an innovative Doctor of Science in Computer Science program with a specialized focus on data science and advanced research applications. This 100% online doctoral program is designed for working professionals seeking to advance their technical abilities and research skills in computer science with particular emphasis on data science applications, algorithm design, artificial intelligence, and system metrics. The 20-course curriculum pairs fundamental research methodology with core computer science subjects, culminating in an original dissertation. Students benefit from flexible scheduling with courses starting every 2 weeks, affordable monthly payment options, and the ability to complete the program in 5 years while working full-time. The program emphasizes both theoretical concepts and practical applications, preparing graduates to evaluate existing technologies, identify shortcomings, and develop innovative technological solutions.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Notable Faculty
- Dr. Asmita Modi — Data Science and Cybersecurity
Location Advantages: 100% online deliveryProgram start dates every 2 weeks
