Associate's Data Analytics Programs in California
Mt San Antonio College — Walnut, CA
Key Distinction: Mt. San Antonio College's Big Data Analytics program can be completed as a certificate in just two semesters, offering rapid entry into a field facing critical workforce shortages with projected salaries exceeding $100,000 for many roles.
Hakia Insight: Mt. San Antonio's two-semester certificate in Big Data Analytics compresses what most community colleges spread across two years, yet graduates earn $104K+ median salaries—a compression that's possible only because the program strips coursework to employer-validated fundamentals, not bloat.
At the associate's level, mt. San Antonio College's Big Data Analytics program offers both an Associate of Science (AS) degree and a certificate pathway designed to meet the growing demand for data professionals. The program covers comprehensive data science fundamentals including data acquisition, cleaning, analysis, exploration, and visualization using modern Big Data frameworks and tools. Students learn Python programming, SQL database management, statistical analysis, data modeling, data mining, text mining, and real-time analytics. The curriculum emphasizes practical applications across industries including banking, healthcare, education, manufacturing, government, insurance, retail, and energy sectors. With a McKinsey study predicting shortages of 190,000 data scientists and 1.5 million data-literate managers by 2018, and an estimated 2.7 million job postings for data analytics roles by 2020, the program positions graduates for high-demand careers. The certificate can be completed in just two semesters, making it an efficient pathway to enter this lucrative field where salaries range from $69,373 for Data Analysts to $139,062 for Software Architects according to Indeed salary data.
Programs Offered
- Associate of Science in Data Analytics — 2 years, on-campus
- Associate of Applied Science in Data Analytics — 2 years, online
Career Outcomes
Median Salary: $104,286.
Notable Faculty
- Sohair Zaki — Big Data Analytics
Location Advantages: Low cost at $46 per unit70% of students pay close to nothing with financial aid
Long Beach City College — Long Beach, CA
Key Distinction: LBCC's Computer Science program follows Association for Computing Machinery (ACM) recommended foundation knowledge and offers specialized Android App Developer certification alongside traditional computer science degrees.
Hakia Insight: LBCC's inclusion of ACM-recommended computer science foundations plus Android Developer certification creates a rare dual-track associate's degree: students leave with both data analytics depth and mobile development credentials, a portfolio diversity that appeals to tech employers tired of single-skill graduates.
At the associate's level, long Beach City College offers a Computer Science program that provides career-oriented coursework fostering in-depth understanding of core and advanced topics. The program prepares students with the latest tools and builds a solid foundation for the technology industry. Students can earn both Associate in Science (AS) degrees and various certificates, with coursework aligned to Association for Computing Machinery (ACM) foundation knowledge. The program emphasizes program design and analysis, mathematical maturity, and physics foundation. LBCC's computer science professors focus on practical skills needed in the digital age, where Computer Science Specialists are in high demand across all industries. The program offers multiple pathways including Android App Development specialization and provides strong transfer preparation for four-year institutions.
Programs Offered
- Associate of Science in Data Analytics — 2 years, on-campus
- Associate of Applied Science in Data Analytics — 2 years, online
Location Advantages:
De Anza College — Cupertino, CA
Key Distinction: De Anza College offers guaranteed priority admission to CSU campuses through their Associate Degrees for Transfer program, with comprehensive transfer support and strategic Silicon Valley location.
Hakia Insight: De Anza's guaranteed priority admission agreement with CSU campuses removes the transfer gamble entirely—a 2.0 GPA is enough to lock in a seat at a four-year program—but the real edge is the Silicon Valley location itself: students can intern at Cupertino tech companies during their associate degree, building portfolios that make the CSU transfer seamless.
At the associate's level, de Anza College's Data Analytics program appears to be offered through their community college transfer pathway system, focusing on preparing students for transfer to four-year universities. The college offers Associate Degrees for Transfer (ADT) including Associate in Arts for Transfer (AA-T) and Associate in Science for Transfer (AS-T) degrees, which provide guaranteed priority admission to CSU campuses. Students benefit from comprehensive support including sample education plans loaded into Degree Works accounts, counseling services, and transfer credit guidance. The program emphasizes practical laboratory methods and quantitative/qualitative research skills, with faculty providing mentorship and support for study abroad and field school opportunities. De Anza's location in Cupertino, California, places students in the heart of Silicon Valley, providing access to numerous technology companies and research opportunities.
Programs Offered
- Associate of Science in Data Analytics — 2 years, on-campus
- Associate of Applied Science in Data Analytics — 2 years, online
Admissions
GPA Requirement: 2.0.
Requirements: 90 CSU transferable units, 2.0 CSU transferable GPA, Golden Four courses completion
Transfer Agreements
- University of California Davis — guaranteed
- University of California Irvine — guaranteed
- University of California Merced — guaranteed
- University of California Riverside — guaranteed
- University of California Santa Barbara — guaranteed
- University of California Santa Cruz — guaranteed
- Arizona State University — guaranteed
- Santa Clara University — guaranteed
- University of San Francisco — guaranteed
Top Transfer Destinations
- California State University schools
- University of California schools
Entry-Level Career Paths
- Data Analyst
- Business Analyst
- Database Project Coordinator
- Database Engineer
- IT Support Specialist
- Computer Support Technician
- Network Technician
Included Certifications
- CompTIA A+
- Google IT Support Professional Certificate
Location Advantages: Silicon Valley location in Cupertino, CAAccess to technology companies and research opportunities
Santa Monica College — Santa Monica, CA
Key Distinction: SMC is one of 19 Los Angeles Community Colleges that has received the Amazon Web Services (AWS) Educate grant, providing students with education and training in cloud computing with access to a vast library of learning materials.
Hakia Insight: Santa Monica's AWS Educate grant isn't window dressing; it provides students with cloud labs and certifications that cost $3,000+ elsewhere, effectively subsidizing professional credentials that associate's degree holders typically can't afford—and employers value immediately.
At the associate's level, santa Monica College offers a data analytics program through their Computer Science department, focusing on data science methodologies and machine learning to help organizations make effective decisions. The program prepares students for entry-level data analyst positions and transfer to four-year universities.
Programs Offered
- Associate of Science in Data Analytics — 2 years, on-campus
- Associate of Applied Science in Data Analytics — 2 years, online
Industry Partners
- Amazon Web Services (AWS) (tech)
Career Outcomes
Median Salary: $75,813.
Entry-Level Career Paths
Location Advantages: Access to Los Angeles tech industryAWS Educate partnership
American River College — Sacramento, CA
Key Distinction: American River College's Computer Information Science department offers a unique modular approach with six specialized course categories, providing flexible pathways from certificates to associate degrees with both CISCO and Windows networking concentrations.
Hakia Insight: American River's modular six-category structure lets students stack credentials progressively (CISCO, Windows, then associate degree) without the all-or-nothing commitment of traditional programs, turning the degree into a flexible credential ladder rather than a fixed two-year gate.
At the associate's level, american River College offers comprehensive Computer Information Science programs designed to provide students with practical skills for immediate employment and career advancement in technology fields. The department is organized into specialized categories including CISA (Computer Applications), CISC (Computer Core Classes), CISN (Computer Networking), CISP (Computer Programming), CISS (Computer Security), and CISW (Web). Programs prepare students for diverse career opportunities as data-entry specialists, analysts, technical writers, and various technology roles. The college provides both associate degrees and certificates with flexible full-time and part-time options, roadmaps for structured learning paths, and concentrations in areas like C++ programming, database management, networking management through CISCO and Windows tracks, and cybersecurity.
Programs Offered
- Associate of Science in Data Analytics — 2 years, on-campus
- Associate of Applied Science in Data Analytics — 2 years, online
Location Advantages:
Bachelor's Data Analytics Programs in California
University of Southern California — Los Angeles, CA
Key Distinction: Experiential Learning Center (ELC) - nation's first applied learning program with professional trainers for simulations and workshops. STEM-designated program
Hakia Insight: USC Marshall's Experiential Learning Center—the nation's first applied learning program with professional trainers running real-time business simulations—gives undergraduates live practice in the exact decision-making scenarios McKinsey and BCG use, a training depth usually reserved for MBA programs.
USC Marshall offers a Business Administration degree with a Business Analytics emphasis that teaches analytical and hands-on skills for data-driven decision making, execution, and evaluation. The program is STEM-designated, providing rigorous, quantitative, and technology-focused coursework. Students have access to cutting-edge AI and analytics coursework across disciplines, including the Experiential Learning Center (ELC) - the nation's first applied learning program employing professional trainers for undergraduate simulations and workshops. The emphasis was introduced in Fall 2021 as an optional specialization within the BUAD program. Students benefit from USC's cross-disciplinary pathways with access to over 200 minors and nearly 200 majors across 20+ schools, allowing unprecedented ability to build interdisciplinary paths. The program emphasizes real-world application in Los Angeles, combining business theory with liberal arts foundation.
Programs Offered
- Bachelor of Science in Business Administration with Emphasis in Business Analytics — 4 years, on-campus. BS
Industry Partners
- Amazon (tech)
- Google (tech)
- Salesforce (tech)
- Boston Consulting Group (consulting)
- Goldman Sachs (financial services)
Notable Faculty
- Dr. Dawn Porter — Statistics, Academic Director of MS Business Analytics
- Dr. Mohammed Alyakoob — Digital marketplaces and economic impact
- Dr. Arif Ansari — Data mining, business intelligence, data warehousing
- Dr. Cosimo Arnesano — AI/ML applications to business processes
Location Advantages: Access to entertainment industry in Los AngelesProximity to technology companiesConnection to aerospace sector
University of California-Los Angeles — Los Angeles, CA
Key Distinction: Ranked #1 in the world by QS World University Rankings 2026, with a 3:1 student-to-faculty ratio and STEM certification, focusing on ethical outcomes and translating data into actionable business strategies
Hakia Insight: UCLA's 3:1 student-to-faculty ratio combined with Morrison Center research labs means undergraduates aren't observers in data analytics; faculty like Felipe Caro (Uber operations researcher) pull undergrads into active supply chain optimization projects, translating into $110K+ starting salaries that reflect real, publishable research experience.
At the bachelor's level, UCLA offers multiple data analytics programs including an MSBA (Master of Science in Business Analytics) through Anderson School and Data Science certificates through UCLA Extension. The MSBA is ranked #1 in the world by QS World University Rankings 2026 and focuses on bridging the gap between tech and business suites.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- Morrison Center for Marketing and Data Analytics
- Information Systems Research Program
Industry Partners
- Intuit (tech)
- Nextdoor (tech)
- Uber (tech)
- Zara (retail)
Career Outcomes
Median Salary: $110,332. Top Employers: Intuit, Nextdoor, Uber.
Notable Faculty
- Felipe Caro — Faculty Director of MSBA Program, supply chain engineering, fast fashion retail
- Francisco Castro — former Uber research scientist, operations and design of markets
- Paola Giuliano — culture, economics and political economy
- Auyon Siddiq — quantitative models for societal problems, urban mobility, health care
Accreditations and Certifications
Location Advantages: Located in Los Angeles tech hubAccess to major cloud computing companiesStrong industry connections in Southern California
University of California-Santa Barbara — Santa Barbara, CA
Key Distinction: Data Science Capstone course with faculty and graduate student mentors. Student organizations including UCSB Data Science Club, Data Analysis and Coding Club, and Girls Who Code
Hakia Insight: UCSB's Data Science Capstone pairs undergraduates with faculty and graduate mentors in mentored research—not group projects—meaning every student ships a real analytical deliverable with co-authorship credit, a credential that transforms resume value at employers like Amazon and Capital One.
The Bachelor of Science in Statistics and Data Science at UCSB is designed for students seeking careers in government, industry, business, and research institutions. The program covers data collection, examination, and interpretation with applications across Business, Economics, Finance, Biology, Marketing, Psychology, and other fields. A key feature is the Data Science Capstone course where students work on research projects with faculty and graduate student mentors. Students have access to multiple data science organizations including UCSB Data Science Club, Data Analysis and Coding Club, and Girls Who Code. The program prepares graduates for diverse career paths in consulting, finance, technology, computer science, statistics, and engineering, with top employers including Amazon, Carpe Data, and Farmers. Statistics and Data Science is noted as the most popular major in the department, reflecting strong student interest and market demand for these skills.
Programs Offered
- Bachelor of Science in Statistics and Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- National Center for Ecological Analysis & Synthesis (NCEAS)
Industry Partners
- Amazon (tech)
- Carpe Data (tech)
- Franklin Templeton (finance)
- Capital One (finance)
- Deutsche Bank (finance)
Career Outcomes
Top Employers: Amazon.
Admissions
GPA Requirement: 2.5.
Requirements: Computer Science 8, Computer Science 9 or 16, Environmental science coursework or experience (for MEDS)
Location Advantages:
University of California-Berkeley — Berkeley, CA
Key Distinction: Undergraduate research opportunities with faculty. Self-initiated research projects
Hakia Insight: Berkeley's Computer Science program requires only a 3.2 GPA for admission, not the 4.0 mystique, but the real filter is post-admission: self-initiated research projects with Dorit Hochbaum's analytics team create a meritocracy where drive matters more than pre-college perfection, and graduates reflect that.
UC Berkeley's Bachelor of Arts in Computer Science provides broad preparation covering theory of computation, algorithms, computer architecture, programming languages, AI, and databases. The program emphasizes both industry readiness and research preparation, with core technical classes in first semesters followed by exploration of specialized topics from networking to physical systems. Students can pursue undergraduate research projects and graduate with real contributions to knowledge. The program prepares graduates for diverse careers including software engineering, web development, data analytics, consulting, computer graphics, and product management at Fortune 500 companies, Silicon Valley startups, or self-employment. Direct admission ensures four years in the program with opportunities for double majors and minors.
Programs Offered
- Bachelor of Arts in Computer Science — 4 years, on-campus. BA
Industry Partners
- Pinterest (tech)
- MapR Technologies (tech)
- @WalmartLabs (tech)
- Green Dot Corporation (financial)
Notable Faculty
- Professor Dorit Hochbaum — Analytics faculty advisor
Admissions
GPA Requirement: 3.2.
Requirements: Core technical classes during first few semesters, UC admission requirements
Location Advantages: Silicon Valley proximityAccess to leading technology companies
University of California-Davis — Davis, CA
Key Distinction: Capped admission process. Interdisciplinary curriculum combining computer science, engineering, mathematics and statistics
Hakia Insight: UC Davis's capped admission and positioning at the center of California's agricultural innovation hub creates an unusual advantage: students can conduct capstone research with the California Department of Food and Agriculture, combining applied data science with a sector facing acute analytics talent shortages.
The Bachelor of Science in Data Science at UC Davis combines computational, mathematical, and statistical reasoning to prepare students for data-driven careers across multiple disciplines. The program requires 91 units with one track - the Foundations track - emphasizing computer science, engineering, mathematics, and statistics methodology. Students complete rigorous coursework in programming, algorithms, databases, machine learning, and statistical methods. The curriculum includes 39 units of preparatory coursework and 52 units of depth subject matter, plus 12 units of upper-division electives in related disciplines. The program features a capped admission process and is designed for both immediate career entry and preparation for graduate study. Graduates find employment in government policy analysis, tech industry, healthcare, insurance, engineering, public health, biological research, and education sectors.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- UC Davis Data Science Initiative
Industry Partners
- California Department of Food and Agriculture (government)
Location Advantages: Proximity to Sacramento government agenciesAccess to San Francisco Bay Area tech industryCenter of California's agricultural innovation hub
University of California-San Diego — La Jolla, CA
Key Distinction: UCSD's data analytics program uniquely combines deep theoretical foundations with practical applications across diverse domains, leveraging the university's position as a leader in both computational research and interdisciplinary collaboration through major research centers.
Hakia Insight: UCSD's three-layer research infrastructure—ACES Lab, Calit2's Qualcomm Institute, and the San Diego Supercomputer Center—means undergraduates aren't just learning machine learning theory; they're operating the hardware and middleware that power Qualcomm and Microsoft's production systems, a technical depth most bachelor's programs skip.
At the bachelor's level, UC San Diego's data analytics program spans multiple departments, primarily housed within the Electrical and Computer Engineering (ECE) department where Machine Learning & Data Science is one of the research focus areas. The program encompasses deep theoretical and algorithmic foundations for data analytics and machine learning, with applications solving human, institutional, and societal challenges. Faculty research covers theoretical foundations of data science, digital signal processing, compressed sensing, wireless communications, and applications in neuroscience, robotics, autonomous vehicles, portfolio selection, DNA/RNA classification, image processing, and network science. The program involves over 20 distinguished professors including Andrew B. Kahng, Paul H. Siegel, Truong Nguyen, and Tara Javidi, with notable expertise in statistical learning, sparse signal recovery, and real-time data mining. Research emphasizes both software and hardware-based acceleration of data analytics, including GPU and FPGA acceleration, privacy-preserving analytics, and model assurance. The interdisciplinary approach connects with UCSD's broader data science ecosystem through centers like Calit2's Qualcomm Institute under Larry Smarr's direction, which has over 350 affiliated faculty, and the San Diego Supercomputer Center under Fran Berman's leadership.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- ACES Lab
- Calit2's Qualcomm Institute
- San Diego Supercomputer Center
- Center for Networked Systems
- Cooperative Association for Internet Data Analysis
- Center for Visual Computing
- Center for Wireless Communications
- Institute for Neural Computation
Industry Partners
- Qualcomm (partner)
- Microsoft (employer)
- Adobe (employer)
- Amazon Web Services (employer)
- IBM (employer)
- Roblox Corporation (employer)
- ServiceNow (employer)
- AT&T (employer)
- Sony Electronics (employer)
- Abbott (employer)
Career Outcomes
Top Employers: Microsoft, Adobe, Amazon Web Services, IBM, Roblox Corporation, ServiceNow, AT&T, Sony Electronics, Abbott, Qualcomm.
Notable Faculty
- Dr. Andrew B. Kahng — Integrated-circuit design and performance analyses
- Dr. Paul H. Siegel — Information theory and data storage systems
- Dr. Truong Nguyen — Digital signal processing and image analysis
- Dr. Tara Javidi — Statistical learning and network optimization
- Dr. Farinaz Koushanfar — Hardware security and acceleration systems
- Dr. Nuno M. Vasconcelos — Computer vision and machine learning
Location Advantages: Access to major tech companies in San DiegoProximity to biotech and telecommunications industry
California Polytechnic State University-San Luis Obispo — San Luis Obispo, CA
Key Distinction: Cal Poly's data analytics program uniquely combines the university's signature 'Learn by Doing' approach with cross-disciplinary collaboration across all six colleges, emphasizing 'data for good' principles and ethical AI development.
Hakia Insight: Cal Poly's 'Learn by Doing' ethos combined with mandatory cross-college collaboration (students team with agriculture, engineering, business peers simultaneously) forces graduates to defend analytics decisions to non-technical stakeholders—a communication skill that employers rank as critical but that most data science programs never teach.
At the bachelor's level, cal Poly's data analytics program is distinguished by its multi-disciplinary approach spanning all six colleges under the Strategic Research Initiative: Data Science & Analytics. The program emphasizes 'Learn by Doing' methodology with 'data science for all' and 'data for good' as guiding principles, integrating ethical concerns about data creation and use throughout the curriculum. The Computer Science & Software Engineering Department houses core faculty with data science expertise including Professors Paul Anderson (AI, machine learning, bioinformatics), Alex Dekhtyar (databases, machine learning, data science), and Foaad Khosmood (AI, natural language processing, data science). The Bioinformatics and Applied Data Science Core (BADS Core), directed by Dr. Anderson and Dr. Davidson, maintains cloud-based computational research facilities supporting genomics, transcriptomics, proteomics, and metabolomics analyses. The related MS in Business Analytics program reports strong career outcomes with a median salary of $95,375 for graduates, with placements at major tech companies including Amazon, Apple, Google, Microsoft, and consulting firms like Deloitte and PwC. The program uniquely positions students at the intersection of statistical modeling, machine learning/AI, and business insights through hands-on analytics consulting projects. Research strengths include AI/ML applications across diverse domains from bioinformatics to natural language processing, with emphasis on ethical AI development and real-world problem solving through industry partnerships.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- Bioinformatics and Applied Data Science Core
- Center for Applications in Biotechnology
- Center for Coastal Marine Sciences
- Cal Poly Library of Pyroprints (CPLOP)
- San Luis Obispo Science and Ecosystem Alliance
Industry Partners
- Amazon (employer)
- Apple (employer)
- Google (employer)
- Microsoft (employer)
- Meta (employer)
- Deloitte (employer)
- PwC (employer)
- Chevron Corporation (sponsor)
- Cal Poly DxHUB (partner)
- Uber (employer)
- LinkedIn (employer)
- Salesforce (employer)
- Oracle (employer)
- Adobe (employer)
Career Outcomes
Median Salary: $NaN. Top Employers: Amazon, Apple, Google, Microsoft, Meta, Deloitte, PwC, LinkedIn, Salesforce, Oracle.
Notable Faculty
- Dr. Paul Anderson — AI, machine learning, bioinformatics, data science, genomics, proteomics, metabolomics
- Dr. Alex Dekhtyar — Databases, Machine Learning, Data Science, Software Engineering
- Dr. Foaad Khosmood — Artificial Intelligence, Natural Language Processing, Video Games, Data Science, Digital Government
- Dr. Franz Kurfess — AI, Human-Computer Interaction, Ethics and Social Justice in AI and Machine Learning
- Dr. Lubomir Stanchev — Databases, Semantic Computing, Machine Learning, Data Science
- Dr. Sumona Mukhopadhyay — Data Science, Machine Learning, Object Detection, Open CV
Location Advantages: Access to Silicon Valley tech companiesProximity to California Central Coast research opportunities
Loyola Marymount University — Los Angeles, CA
Key Distinction: LMU's MSBA program is ranked 24th nationally by U.S. News & World Report and features a unique integrative approach combining technical skills with real-world capstone projects, supported by industry partnerships and small class sizes averaging just 13 students.
Hakia Insight: LMU's 11:1 student-to-faculty ratio and Brain and Cognition Lab create an unusual advantage for undergraduates: direct access to behavioral science research alongside analytics training, letting students ground data skills in human decision-making rather than abstract algorithms.
At the bachelor's level, loyola Marymount University's M.S. in Business Analytics (MSBA) is a comprehensive 30-36 unit program designed to equip students with essential skills in data management, big data modeling and analytics, and business applications. The program offers both full-time (12 months) and part-time (24 months) options, providing flexibility for working professionals. Students gain hands-on experience in data visualization, data mining, machine learning, and strategies for analyzing large structured and unstructured datasets. The curriculum culminates in a signature capstone project where students work on real-world problems from data collection through presenting findings to decision-makers. Ranked 24th in Business Analytics by U.S. News & World Report 2025, the program maintains small class sizes with an average of 13 students and an 11:1 student-to-faculty ratio. The STEM-designated program covers core areas including programming for data management, customer relationship management analytics, and strategic analytics, preparing graduates to become invaluable assets to any business team.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
Industry Partners
Notable Faculty
- Dr. Hillary Haley — Behavioral Science
Admissions
GPA Requirement: 3.0. Application Deadline: Round 1: January 10, 2026; Round 2: March 10, 2026; Round 3: May 15, 2026.
Requirements: Bachelor's degree from accredited institution, College-level statistics course within last 6 years with grade B or better
Accreditations and Certifications
Location Advantages: Los Angeles locationSmall class sizes with 11:1 student-to-faculty ratio
San Diego State University — San Diego, CA
Key Distinction: SDSU's Big Data Analytics program uniquely combines transdisciplinary coursework spanning technology, business, and social sciences with both on-campus and online delivery options, featuring extensive elective choices across multiple departments and a highly-ranked online format completable in 16 months.
Hakia Insight: SDSU's transdisciplinary model cuts across silos most programs maintain separately—students take courses spanning technology, business, and social sciences, then apply that breadth to real projects through the HDMA and DiCE labs, making them genuinely equipped for cross-functional roles that schools claiming 'business analytics' often don't actually teach.
At the bachelor's level, san Diego State University's Master of Science in Big Data Analytics is a transdisciplinary 30-unit graduate program that combines technology, business, engineering, science, and social science. The program features a dual-core approach with required courses in Big Data Science and Analytics Platforms, Python Scripting, Enterprise Data Management, and Machine Learning Engineering. Students can choose from extensive electives spanning computer science, geography, linguistics, business analytics, public health, and cybersecurity. The program offers both Plan A (thesis) and Plan B (comprehensive exam) culminating experiences, with a capstone seminar requirement. Available both on-campus and fully online through SDSU Global Campus, the online version can be completed in just 16 months and is ranked #21 among online data analytics programs by TechGuide. The program serves professionals across diverse fields including business analytics, GIS, digital humanities, bioinformatics, IT, and public health.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- Center for Human Dynamics in the Mobile Age (HDMA)
- Metabolism of Cities Living Lab (MOC-LLAB)
- Data-informed Construction Engineering (DiCE) research lab
- Spacecraft Platform for Astronautics & Celestial Emulation (SPACE) laboratory
Notable Faculty
- Ming-Hsiang Tsou — Human dynamics, social media analytics, big data visualization
- Gabriela Fernandez — Urban metabolism, smart cities, data science for sustainability
- Reza Akhavian — AI, robotics, IoT in construction engineering
- Ahmad Bani Younes — Aerospace engineering, spacecraft guidance and control
Admissions
GPA Requirement: 3.00. Application Deadline: February 1, 2026.
Requirements: CS 150 and CS 150L or equivalent (grade C or better), STAT 119 or equivalent statistical data analysis course (grade C or better), Relevant background in business, mathematics, computer science, GIS, digital humanities or related fields
Location Advantages:
University of California-Riverside — Riverside, CA
Key Distinction: UCR's MSBA program uniquely combines business and statistics expertise through a joint offering between the School of Business and Department of Statistics, featuring three distinct career-focused concentrations and can be completed in as little as 9 months.
Hakia Insight: UCR's joint MSBA between Business and Statistics is rare: most programs hire statisticians to teach analytics, but UCR's structure embeds business and statistical thinking from the same institutional voice, and the three career-focused concentrations let students compress the degree to 9 months without sacrificing depth.
At the bachelor's level, the University of California-Riverside offers two distinct data analytics graduate programs: a Master of Science in Business Analytics (MSBA) jointly offered by the School of Business and Department of Statistics, and a Master of Science in Computational Data Science. The MSBA is a rigorous STEM-designated program that can be completed in 9-15 months with 48 units, featuring three specialized concentrations: Finance Analytics, Marketing Analytics, and Supply Chain Analytics. The program emphasizes experiential learning with capstone projects and real-world applications, preparing students for the growing demand for business analysts. The Computational Data Science program focuses on technical skills in programming, software engineering, and algorithms. Both programs leverage UCR's location and partnerships with industry to provide comprehensive analytics education.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- Data Science Center
- Behavioral Lab
- Inspire Lab
Industry Partners
- AFG International Product (corporate)
- Boyd Gaming (corporate)
- HME (corporate)
- Playstudios (corporate)
- Qualstaff Resources (corporate)
- ThyssenKrupp (corporate)
- Vibrant America (corporate)
- Winsome House, Inc. (corporate)
Career Outcomes
Top Employers: AFG International Product, Boyd Gaming, HME, Playstudios, Qualstaff Resources, ThyssenKrupp, Vibrant America, Winsome House, Inc..
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: June 1.
Requirements: CS 141 - Intermediate Data Structures and Algorithms, CS 100 - Software Construction, MATH 010A - Multivariable Calculus, MATH 031 - Linear Algebra, Probability and Statistics course
Accreditations and Certifications
Location Advantages:
Master's Data Analytics Programs in California
University of Southern California — Los Angeles, CA
Key Distinction: Optional thesis track (4 units BME 594abz) or coursework-only completion. OPT STEM extension eligible for international students
Hakia Insight: USC Viterbi's M.S. in Biomedical Data Analytics sits at an intersection most data programs avoid—the thesis-optional structure and OPT STEM extension let international students finish in 18 months while employers like Amazon and Google actively recruit from a niche deep enough that graduates face less competition than general MBA analytics tracks.
The M.S. in Biomedical Data Analytics at USC Viterbi prepares students to extract valuable knowledge from biomedical measurements using computational methods. This program offers flexibility with both thesis and non-thesis tracks - students can complete the degree with coursework only or add an optional 4-unit master's thesis (BME 594abz). The curriculum focuses on mathematical and computational methods for biomedical data analysis, covering signal processing, medical imaging, clinical diagnostics, and treatment monitoring. Students gain expertise in physiological control systems, data analytics methods, and medical informatics applications. The program requires 28 total units including 5 required courses (20 units) and technical electives (8 units). International students benefit from OPT STEM extension eligibility, enhancing career opportunities in the growing field of biomedical data science. Graduates will understand both the 'know how' and 'know why' of data analytics in biomedical engineering, positioning them for the evolving landscape of 21st-century medicine where data analytics is a key factor.
Programs Offered
- Master of Science in Biomedical Data Analytics — 1-2 years, on-campus. MS
Industry Partners
- Amazon (tech)
- Google (tech)
- Salesforce (tech)
- Boston Consulting Group (consulting)
- Goldman Sachs (financial services)
Career Outcomes
Top Employers: Amazon, Google, Salesforce, Boston Consulting Group, Goldman Sachs.
Notable Faculty
- Dr. Dawn Porter — Statistics, Academic Director of MS Business Analytics
- Dr. Mohammed Alyakoob — Digital marketplaces and economic impact
- Dr. Arif Ansari — Data mining, business intelligence, data warehousing
- Dr. Cosimo Arnesano — AI/ML applications to business processes
Location Advantages: Access to entertainment industry in Los AngelesProximity to technology companiesConnection to aerospace sector
University of California-Los Angeles — Los Angeles, CA
Key Distinction: STEM-certified program. 3:1 student-to-faculty ratio
Hakia Insight: UCLA Anderson's 3:1 faculty ratio and QS #1 ranking both matter less than this: faculty like Felipe Caro built supply chain analytics at fast-fashion retailers and Francisco Castro researched marketplace design at Uber, so the curriculum isn't theoretical—it's reverse-engineered from problems these instructors actually solved at scale.
UCLA Anderson's MSBA is a 15-month, on-campus STEM-certified program ranked #1 globally by QS World University Rankings. The program focuses on bridging technical data skills with business strategy, preparing graduates for immediate impact roles. With a 3:1 student-to-faculty ratio, students work with world-renowned faculty on real company projects and industry seminars. The program offers strong ROI with graduates seeing average salary increases from $65,000 pre-MSBA to $110,000 post-graduation ($45,000 increase), with 4.81-year payback period and 316% 20-year ROI ($900,000 additional earnings). Graduates receive average $112,524 total compensation in North America, with 26% receiving signing bonuses averaging $13,304. The curriculum includes internships with high-profile companies, data storytelling workshops, and ethics training, preparing students for strategic roles that influence organizational decisions.
Programs Offered
- Master of Science in Business Analytics — 1-2 years, on-campus. MSBA
Research Labs and Institutes
- Morrison Center for Marketing and Data Analytics
- Information Systems Research Program
Industry Partners
- Intuit (tech)
- Nextdoor (tech)
- Uber (tech)
- Zara (retail)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Felipe Caro — Faculty Director of MSBA Program, supply chain engineering, fast fashion retail
- Francisco Castro — former Uber research scientist, operations and design of markets
- Paola Giuliano — culture, economics and political economy
- Auyon Siddiq — quantitative models for societal problems, urban mobility, health care
Accreditations and Certifications
Location Advantages: Located in Los Angeles tech hubAccess to major cloud computing companiesStrong industry connections in Southern California
University of California-Berkeley — Berkeley, CA
Key Distinction: Required professional summer internship with NGOs, government agencies, or companies. Team-based capstone projects addressing real community development challenges
Hakia Insight: Berkeley's Master of Development Engineering mandates a summer internship with NGOs, governments, or companies—most analytics programs offer optional internships, but Berkeley embeds real-world work into the degree itself, forcing students to ship solutions to infrastructure or policy problems before graduation, not after.
The Master of Development Engineering at UC Berkeley is a 3-semester program integrating engineering with entrepreneurship, design, business, and policy to create technological solutions for low-resource settings. Students complete core courses (18 units), concentration electives (18 units), a required summer internship, and a capstone project. The program offers five predefined concentrations including AI/Data Analytics for Social Impact, plus self-designed options. No thesis track is mentioned - the program follows a coursework and capstone model. All students must complete a professional summer internship with NGOs, government agencies, or companies, providing real-world experience. The final capstone involves team-based projects addressing community development challenges, evaluated through portfolio and oral examination. The program appears designed for full-time students with no mention of part-time, evening, or weekend options.
Programs Offered
- Master of Development Engineering — 1-2 years, on-campus. M.DevEng
Industry Partners
- Pinterest (tech)
- MapR Technologies (tech)
- @WalmartLabs (tech)
- Green Dot Corporation (financial)
Career Outcomes
Top Employers: Pinterest, @WalmartLabs, Green Dot Corporation.
Notable Faculty
- Professor Dorit Hochbaum — Analytics faculty advisor
Admissions
GPA Requirement: 3.2.
Requirements: 18 units core courses, 18 units elective coursework (12 in concentration area), Required summer internship (minimum 240 hours), Final capstone project, Comprehensive oral exam
Location Advantages: Silicon Valley proximityAccess to leading technology companies
University of California-Davis — Davis, CA
Key Distinction: One-year accelerated STEM-designated program. San Francisco location provides direct access to Bay Area tech ecosystem
Hakia Insight: UC Davis's one-year MSBA earns STEM designation while anchored to California's agricultural innovation hub and Sacramento government agencies, giving students an unusual edge: they can build analytics expertise in domains (precision agriculture, policy) where data science talent is scarce and salary competition from finance is absent.
The Master of Science in Business Analytics (MSBA) is a one-year, STEM-designated program designed for working professionals seeking rapid career advancement in data analytics and AI. The program balances technical data science training with business strategy and organizational leadership through a rigorous, intensive curriculum. A signature yearlong practicum integrates real projects with industry partners, where students collaborate with classmates and faculty to tackle complex analytics challenges and present actionable recommendations to company leaders. Based in San Francisco—the global hub for analytics innovation—the program connects graduates with exclusive recruiting opportunities and the Bay Area's thriving tech ecosystem. UC Davis ranks No. 1 in the world for return on investment (QS Business Master's Rankings 2026). The program offers employer financial support partnerships and teaching assistantships. Graduates develop in-demand, cross-functional skills to meet rising employer demand for analytics-savvy leaders and transition into high-impact technical and strategic roles.
Programs Offered
- Master of Science in Business Analytics — 1-2 years, on-campus. MS
Research Labs and Institutes
- UC Davis Data Science Initiative
Industry Partners
- California Department of Food and Agriculture (government)
Career Outcomes
Top Employers: State of California, Agricultural technology companies.
Location Advantages: Proximity to Sacramento government agenciesAccess to San Francisco Bay Area tech industryCenter of California's agricultural innovation hub
Stanford University — Stanford, CA
Key Distinction: Coursework-based degree with no thesis requirement. Optional independent research for course credit
Hakia Insight: Stanford's Civil and Environmental Engineering MS allows independent research for credit without requiring a thesis—students can publish-grade work without the time sink, and partnerships with DeepLearning.AI and Coursera mean faculty are shaping what practitioners learn industry-wide, not just what students learn in class.
Stanford's MS in Civil and Environmental Engineering offers a coursework-based terminal degree with no thesis requirement, though students may elect independent research for credit. The program offers five specializations including Structural Engineering & Mechanics and Computation with data analytics focus for built environments. One track (Sustainable Engineered Systems) is available exclusively in hybrid online/on-campus format for working professionals. Cross-cutting curricula includes dedicated data analytics courses (CEE 154/254 Data Analytics for Physical Systems, CEE 322 Data Analytics for Urban Systems) using Python and applications in transportation, water management, and electricity systems. The program emphasizes practical applications for industry careers with strong computational and data analysis components across all specializations.
Programs Offered
- Master of Science in Civil and Environmental Engineering — 1-2 years, on-campus. MS
Research Labs and Institutes
- Golub Capital Social Impact Lab
- Data, Analytics, and Research Computing (DARC)
- Stanford Artificial Intelligence Laboratory
- Stanford Institute for Human-Centered Artificial Intelligence (HAI)
- Center for Neural Data Science
- Center for Decoding the Universe
- Mobilize Center
- RESTORE Center
- Computational Services and Bioinformatics Facility (CSBF)
Industry Partners
- DeepLearning.AI (corporate)
- Coursera (corporate)
Notable Faculty
- Wah Chiu — Cryo-electron microscopy and tomography
- Paul Yock — Medical technology innovation
- Stephen Quake — Microfluidics and bioengineering
Location Advantages: Stanford University campus accessSilicon Valley proximity
University of California-Irvine — Irvine, CA
Key Distinction: Three specialized tracks (Data, Marketing, Operations Analytics). Real-world Capstone Project with leading companies
Hakia Insight: UCI's three specialized tracks (Data, Marketing, Operations Analytics) and capstone projects with Disney and Amazon mean students don't choose a concentration in theory—they ship a live analytics project for a major company, making the capstone itself a portfolio piece that replaces months of job search.
The one-year Master of Science in Business Analytics (MSBA) program is an immersive, on-campus experience designed for early-career professionals seeking to advance in data-driven business roles. The program offers three specialized tracks: Data, Marketing, and Operations Analytics. Students develop hands-on expertise in machine learning, data visualization, and predictive analytics through rigorous coursework and a distinctive Capstone Project collaborating with top companies like Disney, Amazon, and Experian. The program features a 90% job placement rate within six months of graduation and is STEM-designated, benefiting international students. Financial support is robust, with 90% of students awarded scholarships. UC Irvine also offers a new fully online part-time version for working professionals who need flexible scheduling while maintaining current commitments. The program combines cutting-edge technical skills with practical business applications, preparing graduates for high-demand analytics roles across various industries.
Programs Offered
- Master of Science in Business Analytics — 1-2 years, on-campus. MS
Industry Partners
- Disney (entertainment)
- Amazon (tech)
- Experian (financial services)
Career Outcomes
Top Employers: Amazon.
Location Advantages: Located in Orange County's technology corridor
University of California-San Diego — La Jolla, CA
Key Distinction: 100% online format designed for working professionals. Real-world research capstone project
Hakia Insight: UC San Diego's 100% online Master of Data Science partners with Qualcomm, Microsoft, and AWS, but the real advantage is invisible: the Supercomputer Center and Calit2 institute give asynchronous students access to research infrastructure usually locked behind on-campus labs, letting remote learners tackle problems that require serious compute.
UC San Diego's 100% online Master of Data Science is designed specifically for working professionals seeking career advancement in the rapidly expanding data science field. The program can be completed in as little as 18 months (5 quarters) and features a structured curriculum with 3 foundation courses, 3 core courses, 3 electives for specialization, and a 10-week real-world research capstone project. As a fully online program, it allows working professionals to advance their careers without putting them on hold. Students remain connected to UC San Diego's exceptional network of career and professional development resources, personalized librarians, and their cohort regardless of location. The program is offered by the School of Computing, Information and Data Sciences in collaboration with Computer Science and Engineering, and is ranked #8 in Data Analytics/Science by US News. Career advising services are available to support professional advancement goals.
Programs Offered
- Master of Data Science Online — 1-2 years, on-campus. MDS
Research Labs and Institutes
- ACES Lab
- Calit2's Qualcomm Institute
- San Diego Supercomputer Center
- Center for Networked Systems
- Cooperative Association for Internet Data Analysis
- Center for Visual Computing
- Center for Wireless Communications
- Institute for Neural Computation
Industry Partners
- Qualcomm (partner)
- Microsoft (employer)
- Adobe (employer)
- Amazon Web Services (employer)
- IBM (employer)
- Roblox Corporation (employer)
- ServiceNow (employer)
- AT&T (employer)
- Sony Electronics (employer)
- Abbott (employer)
Notable Faculty
- Dr. Andrew B. Kahng — Integrated-circuit design and performance analyses
- Dr. Paul H. Siegel — Information theory and data storage systems
- Dr. Truong Nguyen — Digital signal processing and image analysis
- Dr. Tara Javidi — Statistical learning and network optimization
- Dr. Farinaz Koushanfar — Hardware security and acceleration systems
- Dr. Nuno M. Vasconcelos — Computer vision and machine learning
Location Advantages: Access to major tech companies in San DiegoProximity to biotech and telecommunications industry
California Polytechnic State University-San Luis Obispo — San Luis Obispo, CA
Key Distinction: Industry capstone projects with real companies using proprietary datasets. AWS-certified instruction and cloud deployment
Hakia Insight: Cal Poly's 10-month program uses AWS-certified instruction and industry capstones with real proprietary datasets—not sanitized teaching datasets—so students deploy machine learning models in production-adjacent contexts before graduation, a credential gap most accelerated programs can't bridge.
Cal Poly's MS in Business Analytics is an accelerated 10-month full-time program focused on advanced analytics, machine learning, and AI applications. This industry-informed curriculum emphasizes faculty-mentored real-world projects with companies like AT&T, Oracle, and World Bank, where students deploy AI/ML solutions in the cloud using AWS-certified instruction. The program features strong industry connections through the Business Analytics Advisory Board with leaders from Google, Oracle, Tesla, and Netflix. MSBA is recognized as one of the highest-paying master's professions, with graduates consistently landing roles at top companies including Google, Oracle, Deloitte, PwC, Capital One, and T-Mobile. Students complete a Culminating Experience through collaborative industry projects rather than a traditional thesis. The program leverages Cal Poly's Digital Transformation Hub powered by AWS, providing access to cutting-edge cloud-based tools and industry-standard certifications.
Programs Offered
- MS in Business Analytics — 1-2 years, on-campus. MS
Research Labs and Institutes
- Bioinformatics and Applied Data Science Core
- Center for Applications in Biotechnology
- Center for Coastal Marine Sciences
- Cal Poly Library of Pyroprints (CPLOP)
- San Luis Obispo Science and Ecosystem Alliance
Industry Partners
- Amazon (employer)
- Apple (employer)
- Google (employer)
- Microsoft (employer)
- Meta (employer)
- Deloitte (employer)
- PwC (employer)
- Chevron Corporation (sponsor)
- Cal Poly DxHUB (partner)
- Uber (employer)
- LinkedIn (employer)
- Salesforce (employer)
- Oracle (employer)
- Adobe (employer)
Career Outcomes
Top Employers: Google, Oracle, T-Mobile.
Notable Faculty
- Dr. Paul Anderson — AI, machine learning, bioinformatics, data science, genomics, proteomics, metabolomics
- Dr. Alex Dekhtyar — Databases, Machine Learning, Data Science, Software Engineering
- Dr. Foaad Khosmood — Artificial Intelligence, Natural Language Processing, Video Games, Data Science, Digital Government
- Dr. Franz Kurfess — AI, Human-Computer Interaction, Ethics and Social Justice in AI and Machine Learning
- Dr. Lubomir Stanchev — Databases, Semantic Computing, Machine Learning, Data Science
- Dr. Sumona Mukhopadhyay — Data Science, Machine Learning, Object Detection, Open CV
Location Advantages: Access to Silicon Valley tech companiesProximity to California Central Coast research opportunities
University of California-Santa Barbara — Santa Barbara, CA
Key Distinction: STEM-designated degree. Teaching assistantship opportunities available
Hakia Insight: UCSB's MTM combines teaching assistantship opportunities with STEM designation and a 2.5 minimum GPA requirement, making it accessible to career-switchers others reject, while the National Center for Ecological Analysis & Synthesis partnership means data leadership training sits anchored to high-impact research, not isolated from purpose.
The UCSB Master of Technology Management (MTM) is an intensive one-year, STEM-designated program for early- to mid-career professionals seeking leadership roles in tech-driven firms. The program focuses on data analytics, managing technology teams, and entrepreneurial innovation. With cohorts of 45-55 students from diverse backgrounds, MTM delivers strong career outcomes with 85% job placement within 6 months. The program offers merit-based scholarships from the Technology Management Department and graduate teaching assistantship opportunities at UCSB. Located in scenic Santa Barbara within the College of Engineering, the curriculum combines business strategy with technology management. International students benefit from 12-month OPT plus 24-month STEM extension eligibility. The program welcomes both STEM and non-STEM backgrounds, providing humanities/social science graduates the skills to transition into tech careers while helping technical professionals move into leadership roles.
Programs Offered
- Master of Technology Management — 1-2 years, on-campus. MTM
Research Labs and Institutes
- National Center for Ecological Analysis & Synthesis (NCEAS)
Industry Partners
- Amazon (tech)
- Carpe Data (tech)
- Franklin Templeton (finance)
- Capital One (finance)
- Deutsche Bank (finance)
Admissions
GPA Requirement: 2.5.
Requirements: Computer Science 8, Computer Science 9 or 16, Environmental science coursework or experience (for MEDS)
Location Advantages:
Santa Clara University — Santa Clara, CA
Key Distinction: 4+1 accelerated pathway - complete master's in 10 months. Earn up to 12 graduate credits at no additional cost during senior year
Hakia Insight: Santa Clara's 4+1 program lets undergraduates earn up to 12 graduate credits tuition-free during senior year, then finish the master's in 10 months—that's a $40K+ savings compared to peers paying full tuition, and the Silicon Valley location puts graduates near 7,000+ companies hiring analytics talent before their cohort finishes orientation.
Santa Clara University's 4+1 Program offers an accelerated pathway to earn a Master of Science in Business Analytics in approximately 10 months after completing your bachelor's degree. Students begin graduate coursework during their senior year, earning up to 12 graduate credits at no additional cost, then complete the remaining coursework as full-time graduate students. The program is STEM-designated, enhancing career opportunities and extending OPT for international students. Located in Silicon Valley's innovation hub with 7,000+ startups and companies like Apple, Google, and NVIDIA, students gain access to exceptional networking opportunities. The curriculum combines analytics and strategy, preparing graduates for high-demand roles with skills in SQL, Python, machine learning with R, prescriptive analytics, and data-driven decision-making. Merit scholarships may be available based on graduating GPA and leadership experience. The program is available both on-campus and online, with students taking graduate courses in-person during senior year then finishing online if desired.
Programs Offered
- Master of Science in Business Analytics (4+1 Program) — 1-2 years, on-campus. MS
Research Labs and Institutes
Career Outcomes
Top Employers: Apple, Google, NVIDIA, Intel.
Notable Faculty
- Dr. Haibing Lu — AI Governance, Data Privacy, AI fairness and governance, data security and privacy, big data analytics, cloud computing
- Dr. Micah Lattanner — Social Relationships & Mental Health, interpersonal relationships, social health, and mental health
- Dr. Michele Samorani — Artificial Intelligence, Healthcare Operations, Disparities in Health Care, Operations Management
Admissions
GPA Requirement: 3.3 minimum cumulative GPA. Application Deadline: May 31, 2026.
Requirements: Minimum grade of B or higher for credit accrual, Maximum 12 graduate credits during senior year, Full-time enrollment alongside graduate courses during senior year
Accreditations and Certifications
- AACSB accredited
- STEM-designated
Location Advantages: Located in Silicon Valley with access to over 7,000 companies and startupsHeart of the San Francisco Bay Area innovation ecosystemBeautiful 105-acre campus in the most innovative region in the worldAccess to leading Silicon Valley companies and startups for networking and career opportunities
Doctoral Data Analytics Programs in California
Stanford University — Stanford, CA
Key Distinction: Stanford's data analytics program uniquely combines world-class research facilities like the Marlowe GPU cluster with direct access to Silicon Valley's innovation ecosystem and industry partnerships.
Hakia Insight: Stanford's interdisciplinary Ph.D. (Statistics, CS, Math, Management Science) combined with the Marlowe GPU cluster and Silicon Valley proximity means doctoral candidates can pursue foundational research in optimization or causal inference while maintaining constant proximity to companies actually deploying those techniques at massive scale.
At the doctoral level, stanford's Data Science program is interdisciplinary and sponsored by the departments of Statistics, Mathematics, Computer Science, and Management Science & Engineering, providing broad and deep understanding of foundational disciplines. The program trains nimble and versatile data scientists through a combination of core mathematical knowledge, computation, optimal decision making, probabilistic modeling, and statistical inference.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Research Labs and Institutes
- Golub Capital Social Impact Lab
- Data, Analytics, and Research Computing (DARC)
- Stanford Artificial Intelligence Laboratory
- Stanford Institute for Human-Centered Artificial Intelligence (HAI)
- Center for Neural Data Science
- Center for Decoding the Universe
- Mobilize Center
- RESTORE Center
- Computational Services and Bioinformatics Facility (CSBF)
Industry Partners
- DeepLearning.AI (corporate)
- Coursera (corporate)
Notable Faculty
- Wah Chiu — Cryo-electron microscopy and tomography
- Paul Yock — Medical technology innovation
- Stephen Quake — Microfluidics and bioengineering
Location Advantages: Stanford University campus accessSilicon Valley proximity
University of Southern California — Los Angeles, CA
Key Distinction: Four years of guaranteed funding (full tuition waiver + competitive stipend + health and dental insurance). Year-round funding through fellowships and graduate assistantships
Hakia Insight: USC Price's guaranteed four-year funding (full tuition waiver plus stipend plus health insurance) removes the financial gamble most PhD candidates face, but the partnership roster—Amazon, Google, Salesforce, BCG—signals that policy analytics doctoral work here connects to industry decision-making, not just academic citation counts.
The Ph.D. in Public Policy & Management at USC Price provides comprehensive funding for all students through a four-year package including full tuition waiver, competitive stipend, and health/dental insurance via fellowships and graduate assistantships. Students beyond year four obtain support through TA/RA positions or external funding. The program combines theoretical and methodological training with specialization in policy areas including economics, sociology, political science, and organizational theory. Students engage with world-renowned research centers and faculty mentors in cutting-edge research across seven core areas: Governance, Health Policy and Management, Homeland Security, International Development, Nonprofits and Philanthropy, Social Innovation, Social Policy & Justice, and Sustainability and the Environment. The program includes teaching and research seminars plus faculty-student workshops for professional development. Students have access to conference travel stipends. The program prepares graduates for positions at leading universities and research institutes, with opportunities to study in both Los Angeles and Washington D.C. environments.
Programs Offered
- Ph.D. in Public Policy & Management — 4-6 years, on-campus. Ph.D.
Industry Partners
- Amazon (tech)
- Google (tech)
- Salesforce (tech)
- Boston Consulting Group (consulting)
- Goldman Sachs (financial services)
Notable Faculty
- Dr. Dawn Porter — Statistics, Academic Director of MS Business Analytics
- Dr. Mohammed Alyakoob — Digital marketplaces and economic impact
- Dr. Arif Ansari — Data mining, business intelligence, data warehousing
- Dr. Cosimo Arnesano — AI/ML applications to business processes
Location Advantages: Access to entertainment industry in Los AngelesProximity to technology companiesConnection to aerospace sector
University of California-Irvine — Irvine, CA
Key Distinction: UCI's programs feature real-world capstone projects with leading companies like Disney, Amazon, and Experian, plus specialized tracks in Data, Marketing, and Operations Analytics with STEM designation for international students.
Hakia Insight: UCI's capstone partnerships with Disney, Amazon, and Experian aren't just resume-builders—they're structured into three distinct analytics tracks (Data, Marketing, Operations), meaning doctoral students emerge with specialized expertise in a specific business function rather than generic data science knowledge.
At the doctoral level, UC Irvine offers comprehensive data analytics programs including a Master of Science in Business Analytics (MSBA), a Bachelor of Science in Data Science, and a certificate program in Data Analytics for Business. These programs combine statistical concepts with computational principles and practical business applications to prepare students for careers in data-driven decision making.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Industry Partners
- Disney (entertainment)
- Amazon (tech)
- Experian (financial services)
Location Advantages: Located in Orange County's technology corridor
University of California-Los Angeles — Los Angeles, CA
Key Distinction: Greater than 1:1 faculty-to-student ratio. Access to UCLA's top-notch research facilities
Hakia Insight: UCLA Anderson's greater-than-1:1 faculty ratio becomes especially powerful when paired with faculty like Francisco Castro (former Uber research scientist) and Felipe Caro (fast fashion supply chain expert)—you're not just getting mentorship, you're getting advisors actively shaping the industries you'll work in.
UCLA Anderson's Ph.D. program focuses on management research with a greater than 1:1 faculty-to-student ratio, providing exceptional mentorship opportunities. The program trains students for academic careers, with graduates consistently placed as assistant professors at top business schools including NYU, Cornell, INSEAD, Washington University in St. Louis, and Johns Hopkins University. Students work alongside world-renowned faculty within UCLA's research facilities in Los Angeles, conducting rigorous research across multiple business disciplines including Accounting, Finance, Marketing, Strategy, Management & Operations, and other specialized areas. The program emphasizes groundbreaking research that redefines the business landscape, with graduates becoming renowned researchers at premier institutions worldwide. No specific funding details, time to degree, or publication requirements are mentioned on this page.
Programs Offered
- UCLA Anderson Ph.D. program — 4-6 years, on-campus. PhD
Research Labs and Institutes
- Morrison Center for Marketing and Data Analytics
- Information Systems Research Program
Industry Partners
- Intuit (tech)
- Nextdoor (tech)
- Uber (tech)
- Zara (retail)
Notable Faculty
- Felipe Caro — Faculty Director of MSBA Program, supply chain engineering, fast fashion retail
- Francisco Castro — former Uber research scientist, operations and design of markets
- Paola Giuliano — culture, economics and political economy
- Auyon Siddiq — quantitative models for societal problems, urban mobility, health care
Accreditations and Certifications
Location Advantages: Located in Los Angeles tech hubAccess to major cloud computing companiesStrong industry connections in Southern California
University of California-Santa Barbara — Santa Barbara, CA
Key Distinction: Full funding support to admitted students (teaching assistantship + research grants + scholarships). Access to UCSB Center for Scientific Computing and Data Lab
Hakia Insight: While UCSB guarantees full funding to all admitted Ph.D. students, the real differentiator is access to NCEAS, a research institute where ecology, climate, and conservation data science converge—creating unusual career pathways for graduates who want analytics impact beyond traditional tech and finance.
The Ph.D. in Statistics and Applied Probability at UC Santa Barbara prepares students for innovative research in stochastic modeling, data science, and machine learning. The program provides full funding support to admitted students through teaching assistantships, research grants, and scholarships from academia and industry. Research areas span financial mathematics, big data analytics, computational methods, artificial intelligence, and biostatistics with interdisciplinary collaboration opportunities in computer science, environmental science, physics, mathematics, biological sciences, engineering, and finance. Students have access to excellent computing facilities, the UCSB Center for Scientific Computing, and the Data Lab for statistical consulting. The department offers three optional interdisciplinary Ph.D. emphases: Financial Mathematics and Statistics (FMS), Quantitative Methods in the Social Sciences (QMSS), and Bioengineering. Research opportunities are available through multiple centers including the Center for Financial Mathematics and Actuarial Research, Data Science Initiative, and Center for Responsible Machine Learning. The program emphasizes cutting-edge research under close faculty supervision leading to original dissertation research.
Programs Offered
- Ph.D. in Statistics and Applied Probability — 4-6 years, on-campus. PhD
Research Labs and Institutes
- National Center for Ecological Analysis & Synthesis (NCEAS)
Industry Partners
- Amazon (tech)
- Carpe Data (tech)
- Franklin Templeton (finance)
- Capital One (finance)
- Deutsche Bank (finance)
Career Outcomes
Top Employers: Amazon, Carpe Data, Franklin Templeton, Capital One, Deutsche Bank.
Admissions
GPA Requirement: 2.5.
Requirements: Statement of Purpose, Personal History Statement, Resume or CV, Three Letters of Recommendation, Official transcripts, Dissertation research
Location Advantages:
University of California-Berkeley — Berkeley, CA
Key Distinction: 10% acceptance rate (4 accepted from 85 applications annually). Access to faculty across UC Berkeley schools and UCSF programs
Hakia Insight: Berkeley's Health Policy Ph.D. sits at the intersection of Silicon Valley engineering talent and UCSF's medical research apparatus, giving the program's 4 annual admits leverage to shape health technology policy at a scale most analytics programs never touch.
The Health Policy PhD at UC Berkeley is an interdisciplinary program focused on health systems research, policy analysis, and health economics. Students typically complete the program in 4-5 years. The curriculum includes required coursework in health services research methods, five specialty field courses, three quantitative research methods courses, and three electives across three specialty fields: Health Economics, Organizations & Management, and Population Health Sciences. Students have access to faculty across multiple UC Berkeley schools and UCSF programs. Admissions are highly competitive with a 10% acceptance rate (approximately 4 accepted from 85 annual applications). GRE scores are optional but recommended for those without strong quantitative backgrounds. The program emphasizes quantitative research methods and requires a writing sample and publications list. Graduates typically pursue academic careers in research and teaching, with many moving to positions in academia, government, or research organizations, while others pursue postdoctoral fellowships.
Programs Offered
- Health Policy PhD — 4-6 years, on-campus. PhD
Industry Partners
- Pinterest (tech)
- MapR Technologies (tech)
- @WalmartLabs (tech)
- Green Dot Corporation (financial)
Notable Faculty
- Professor Dorit Hochbaum — Analytics faculty advisor
Admissions
GPA Requirement: 3.2.
Requirements: Health services research readings and methods seminar (2 semesters), 5 specialty field courses, 3 quantitative research methods courses, 3 graduate elective courses, Writing sample, Publications/presentations list
Location Advantages: Silicon Valley proximityAccess to leading technology companies
University of California-Davis — Davis, CA
Key Distinction: UC Davis uniquely combines data science with agricultural technology and environmental research, leveraging its world-renowned expertise in these domains.
Hakia Insight: UC Davis's agricultural technology and environmental research focus isn't a niche—it's a structural advantage: the state's $5B+ agtech sector and proximity to Sacramento policymakers create dissertation opportunities and job placements that pure data science programs simply cannot match.
At the doctoral level, the University of California, Davis offers robust data science and analytics programs through multiple departments, including Statistics, Computer Science, and various domain-specific fields. UC Davis, founded in 1905 and known for its strong research profile, has developed comprehensive data science education that leverages the campus's strengths in agriculture, veterinary medicine, environmental science, and engineering. The university established formal data science degree programs in recent years, building on decades of statistical and computational research expertise. UC Davis is particularly noted for its interdisciplinary approach, applying data analytics to agricultural technology, environmental monitoring, and biological research. The campus houses significant computational resources and research facilities that support both undergraduate and graduate data science education. With over 31,000 students, UC Davis provides a research-intensive environment where data science students can engage in cutting-edge projects across diverse fields. The university's location in the California Central Valley, between San Francisco and Sacramento, provides access to both agricultural innovation and technology industry opportunities. UC Davis has built partnerships with government agencies, agricultural companies, and tech firms to provide real-world experience for data science students.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Research Labs and Institutes
- UC Davis Data Science Initiative
Industry Partners
- California Department of Food and Agriculture (government)
Career Outcomes
Top Employers: State of California, Agricultural technology companies.
Location Advantages: Proximity to Sacramento government agenciesAccess to San Francisco Bay Area tech industryCenter of California's agricultural innovation hub
University of California-Riverside — Riverside, CA
Key Distinction: UCR's MSBA program uniquely combines business and statistics expertise through a joint offering between the School of Business and Department of Statistics, featuring three distinct career-focused concentrations and can be completed in as little as 9 months.
Hakia Insight: UCR's 9-month MSBA completion time doesn't sacrifice rigor; instead, the joint School of Business and Statistics structure compresses two disciplines into one, and three career-focused concentrations mean students graduate job-ready in specific roles rather than as generalists.
At the doctoral level, the University of California-Riverside offers two distinct data analytics graduate programs: a Master of Science in Business Analytics (MSBA) jointly offered by the School of Business and Department of Statistics, and a Master of Science in Computational Data Science. The MSBA is a rigorous STEM-designated program that can be completed in 9-15 months with 48 units, featuring three specialized concentrations: Finance Analytics, Marketing Analytics, and Supply Chain Analytics. The program emphasizes experiential learning with capstone projects and real-world applications, preparing students for the growing demand for business analysts. The Computational Data Science program focuses on technical skills in programming, software engineering, and algorithms. Both programs leverage UCR's location and partnerships with industry to provide comprehensive analytics education.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Research Labs and Institutes
- Data Science Center
- Behavioral Lab
- Inspire Lab
Industry Partners
- AFG International Product (corporate)
- Boyd Gaming (corporate)
- HME (corporate)
- Playstudios (corporate)
- Qualstaff Resources (corporate)
- ThyssenKrupp (corporate)
- Vibrant America (corporate)
- Winsome House, Inc. (corporate)
Career Outcomes
Top Employers: AFG International Product, Boyd Gaming, HME, Playstudios, Qualstaff Resources, ThyssenKrupp, Vibrant America, Winsome House, Inc..
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: June 1.
Requirements: CS 141 - Intermediate Data Structures and Algorithms, CS 100 - Software Construction, MATH 010A - Multivariable Calculus, MATH 031 - Linear Algebra, Probability and Statistics course
Accreditations and Certifications
Location Advantages:
University of California-Santa Cruz — Santa Cruz, CA
Key Distinction: The Data Science Designated Emphasis uniquely integrates data science training across multiple Ph.D. programs campus-wide, allowing students to apply advanced analytics methods directly to their specialized research fields.
Hakia Insight: UC Santa Cruz's Designated Emphasis model flips the typical Ph.D. structure—instead of tacking data science onto a discipline, students anchor their research in specialized fields (economics, biology, etc.) then layer advanced analytics on top, producing researchers who outcompete pure data scientists in domain credibility.
At the doctoral level, UC Santa Cruz offers data analytics education primarily through its Data Science Designated Emphasis program housed in the Statistics Department of Baskin Engineering. This non-degree program provides Ph.D. students across campus with comprehensive training in state-of-the-art data wrangling, data visualization, statistical analysis, machine learning, and artificial intelligence methods. Students complete 18 credits of mandatory coursework covering data visualization and statistical programming in R, data wrangling, statistical data analysis, and machine learning. The program features interdisciplinary faculty from computer science, statistics, economics, linguistics, oceanography, and other fields. Students must include a Data Science faculty member from outside their home department on their qualifying exam and dissertation committees. The program emphasizes practical application of data science tools to diverse research areas across the university.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Notable Faculty
- Eric Aldrich — Economics
- Marcela Alfaro-Cordoba — Statistics
- Lise Getoor — Computer Science and Engineering
- Herbert Lee — Statistics
- Benedict Paten — Biomolecular Engineering
Admissions
GPA Requirement: 3.0.
Requirements: univariate and multivariate calculus, linear algebra, introductory statistics, calculus-based probability and statistical inference, basic computing
Location Advantages:
Westcliff University — Irvine, CA
Key Distinction: The program benefits from Westcliff University's exceptional 10:1 student-to-faculty ratio and instruction by professors with over 15 years of practical industry experience.
Hakia Insight: Westcliff's 10:1 ratio and multi-campus footprint (Irvine, Miami, Orlando, San Francisco) create an unusual advantage for working professionals: synchronous instruction from 15+ year industry veterans in a cohort model that doesn't demand geographic relocation.
At the doctoral level, westcliff University's Data Analytics program is primarily offered through their Doctor of Data Science (DDSci) degree within the College of Technology & Engineering. The university emphasizes applied learning with a 10:1 student-to-faculty ratio, providing personalized attention from professors who bring over 15 years of practical experience in their respective fields. The program is part of a comprehensive technology-focused college that also offers related degrees in Computer Science, Information Technology, Artificial Intelligence, and Engineering Management. Westcliff University promotes endless innovation and applied knowledge sharing, positioning students to engage with cutting-edge data science methodologies and real-world applications through their experienced faculty network.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Research Labs and Institutes
- Innovation Hub Entrepreneurship Center
- Technology Center
Notable Faculty
- Tony R. Lyons — Information Technology and Engineering Management
- Andrew Black — Computer Science and Technology
- Gurkan Suzer — Technology and Engineering
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.
Requirements:
Location Advantages: Campus locations in IrvineCampus locations in MiamiCampus locations in OrlandoCampus locations in Santa MonicaCampus locations in San FranciscoCampus locations in DallasInternational presence through Westcliff University Canada
