Best Associate's Data Science Degree Programs in Utah
Weber State University — Ogden, UT
Key Distinction: Regionally rooted program emphasizing manufacturing, logistics, and aerospace analytics with flexible scheduling for working professionals.
Hakia Insight: Weber State's proximity to Hill Air Force Base and embedded partnerships with regional manufacturing firms means associate's students have job-ready analytics credentials before graduation, not a pipeline to four-year programs—a meaningful distinction for students seeking immediate employment over transfer pathways.
At the associate's level, weber State's data science program leans into the strengths of a comprehensive regional institution: affordability, flexibility, and deep ties to Ogden's manufacturing, logistics, and aerospace sectors. The curriculum scaffolds from foundational statistics and programming through specialized electives in predictive modeling, supply chain analytics, and industrial data science. Many students are working professionals or part-time learners, so the program offers both evening and online sections without compromising rigor. Faculty expertise clusters around manufacturing optimization, operations research, and applied statistics—skills directly transferable to the employers dominating the Ogden-Salt Lake corridor (Hill Air Force Base, manufacturing firms, distribution centers). Capstone projects often emerge from real problems in regional industry, meaning graduates enter the job market with portfolio pieces from companies they may already work for or will target. If you're seeking a solid technical education at an accessible price point, with curriculum tailored to regional economic realities, Weber State is strategically positioned.
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
- Applied Statistics and Operations Research Lab
Industry Partners
- Hill Air Force Base (government)
- regional manufacturing and logistics firms (corporate)
Career Outcomes
Top Employers: Hill Air Force Base, regional manufacturing and distribution companies.
Location Advantages: Proximity to Hill Air Force Base and Ogden manufacturing/logistics employersWasatch Front proximity to Salt Lake City tech corridor
Utah Valley University — Orem, UT
Key Distinction: UVU's data science education integrates domain-specific applications across business, engineering, and health sectors, directly connecting students to Utah's regional tech and corporate ecosystem.
Hakia Insight: UVU's domain-specific design across business, engineering, and health isn't just marketing; it means each cohort includes students solving actual problems from fintech and manufacturing firms, creating peer networks that typically emerge only after employment.
At the associate's level, utah Valley University's data science initiative reflects the school's commitment to workforce-aligned education, with a program designed in close consultation with employers in the Wasatch Front tech ecosystem. Rather than pursuing pure research orientation, UVU structures its curriculum around immediate industry relevance: students learn data engineering pipelines, cloud platforms (AWS, Azure), and business intelligence tools alongside statistical modeling, preparing them for roles that are genuinely in demand in Utah's growing tech economy. The program leverages partnerships with regional software companies and startups to host project-based learning experiences where teams tackle real analytics challenges. Faculty include practitioners with experience at established tech firms, bringing current industry standards into the classroom. The distinctive strength lies in UVU's responsiveness to employer feedback—the program evolves its course offerings annually based on skills gaps identified by hiring managers, ensuring graduates possess tools companies are actively seeking. Career outcomes skew toward data engineering, analytics engineering, and BI developer roles, reflecting the program's emphasis on technical infrastructure and data pipeline skills alongside statistical analysis.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Location Advantages: Proximity to Salt Lake City tech ecosystemRegional access to fintech, software, and manufacturing firms
Snow College — Ephraim, UT
Hakia Insight: Snow College's emphasis on hands-on projects tied to Utah State research departments and regional healthcare organizations suggests associate's graduates transition into applied roles rather than generic data analyst positions—a difference that compounds through regional employer networks.
At the associate's level, if you're looking to build real-world analytics skills without leaving central Utah, Snow College's data science pathway emphasizes hands-on projects that prepare you for immediate workforce entry or smooth transfer to University of Utah and Utah State University's four-year programs. The program integrates SQL, Python, and business intelligence tools through problem-based learning, meaning you'll work with actual datasets from day one rather than pure theory. Students consistently transfer into competitive data analytics and business intelligence roles, and many employers in the Wasatch region actively recruit Snow graduates for entry-level data analyst positions. What sets this program apart is its tight integration with regional tech employers—internship pipelines mean you're not just learning tools, you're networking with people who'll hire you.
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: Utah State University research departments, Regional healthcare organizations, State government agencies, Local tech companies.
Top Transfer Destinations
- Utah State University
- University of Utah
- Weber State University
- Brigham Young University
Entry-Level Career Paths
- Data Analyst
- Junior Business Analyst
- Database Support Technician
- Analytics Coordinator
- Business Intelligence Associate
Included Certifications
- Google Data Analytics Professional Certificate
- Microsoft Azure Fundamentals (AZ-900)
- CompTIA A+
Location Advantages:
Best Bachelor's Data Science Degree Programs in Utah
Western Governors University — Salt Lake City, UT
Key Distinction: WGU's competency-based, self-paced model lets students advance by proven mastery rather than seat time, making it uniquely accessible to working professionals seeking a flexible yet rigorous data science credential.
Hakia Insight: WGU's competency-based model means a student can finish a rigorous BS in data science in 18 months instead of four years by demonstrating mastery faster, making it the only option for working professionals who need credentials without career interruption—a structural advantage no traditional university matches.
WGU's data science programs operate on a competency-based model fundamentally different from traditional semester-paced universities—students advance by demonstrating mastery rather than accumulating credit hours, enabling accelerated completion for well-prepared learners and flexible pacing for those balancing work and study. This structure is particularly attractive to working professionals already in analytics or tech roles seeking credentials without career interruption. The curriculum spans data analysis, machine learning, statistical inference, and big data technologies, with degree pathways available at both bachelor's and master's levels. WGU's online-first design means instruction and assessment are optimized for remote learners, with capstone projects anchored in real datasets and business scenarios rather than contrived academic exercises. The program benefits from WGU's institutional scale—the university's data on thousands of graduates provides concrete outcome tracking and continuous curriculum refinement. While WGU lacks traditional research labs, the emphasis on applied competency and industry-relevant skills has generated strong outcomes in tech hubs and established companies seeking data professionals. The master's program particularly attracts career-switchers and mid-level professionals aiming for senior analyst or data science leadership roles.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Fully online, accessible from any location
Weber State University — Ogden, UT
Key Distinction: Regionally rooted program emphasizing manufacturing, logistics, and aerospace analytics with flexible scheduling for working professionals.
Hakia Insight: Weber State's specialization in aerospace and manufacturing analytics through its Applied Statistics lab creates a rare advantage: the program trains students for high-skill, stable employment in a sector with chronic talent shortages, rather than the saturated consumer-tech analytics market.
At the bachelor's level, weber State's data science program leans into the strengths of a comprehensive regional institution: affordability, flexibility, and deep ties to Ogden's manufacturing, logistics, and aerospace sectors. The curriculum scaffolds from foundational statistics and programming through specialized electives in predictive modeling, supply chain analytics, and industrial data science. Many students are working professionals or part-time learners, so the program offers both evening and online sections without compromising rigor. Faculty expertise clusters around manufacturing optimization, operations research, and applied statistics—skills directly transferable to the employers dominating the Ogden-Salt Lake corridor (Hill Air Force Base, manufacturing firms, distribution centers). Capstone projects often emerge from real problems in regional industry, meaning graduates enter the job market with portfolio pieces from companies they may already work for or will target. If you're seeking a solid technical education at an accessible price point, with curriculum tailored to regional economic realities, Weber State is strategically positioned.
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
- Applied Statistics and Operations Research Lab
Industry Partners
- Hill Air Force Base (government)
- regional manufacturing and logistics firms (corporate)
Career Outcomes
Top Employers: Hill Air Force Base, regional manufacturing and distribution companies.
Location Advantages: Proximity to Hill Air Force Base and Ogden manufacturing/logistics employersWasatch Front proximity to Salt Lake City tech corridor
Brigham Young University — Provo, UT
Key Distinction: mandatory capstone experience with real-world employer contact and challenges. interdisciplinary approach combining mathematics, statistics, and computer science
Hakia Insight: BYU's mandatory capstone with live employer contact (paired with proximity to Silicon Valley and partnerships with Google, Microsoft, Apple) means students ship real projects for household-name companies before graduation—most bachelor's programs simulate this; BYU skips the simulation.
The Interdisciplinary Data Science BS degree at Brigham Young University prepares students for competitive positions in data science, machine learning, statistics, artificial intelligence, and related fields at many of the world's best companies. The program provides a solid data science core supported by foundational courses in mathematics, statistics, and computer science. Students complete data science themed courses in a discipline of their choice and a mandatory capstone experience that provides real-world contact with employers and their challenges. Graduates will be able to curate and maintain data, build models to effectively analyze data, understand modeling principles to draw accurate conclusions, and ethically provide insights for various applications. The program also serves as excellent preparation for graduate work and benefits students interested in adjacent fields requiring data management, analytics, visualization, and forecasting skills.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- Computer Vision and Graphics Laboratory
Industry Partners
- Google (corporate)
- Microsoft (corporate)
- Apple (corporate)
Career Outcomes
Top Employers: intel.
Accreditations and Certifications
Location Advantages: Proximity to Silicon Valley tech companiesStrong Utah tech ecosystem presence
Utah Valley University — Orem, UT
Key Distinction: UVU's data science education integrates domain-specific applications across business, engineering, and health sectors, directly connecting students to Utah's regional tech and corporate ecosystem.
Hakia Insight: UVU positions bachelor's graduates at the intersection of Utah's explosive fintech and software growth, but the program's integration across business, engineering, and health sectors means students develop cross-domain fluency that SaaS-heavy tech bootcamps explicitly avoid teaching.
At the bachelor's level, utah Valley University's data science initiative reflects the school's commitment to workforce-aligned education, with a program designed in close consultation with employers in the Wasatch Front tech ecosystem. Rather than pursuing pure research orientation, UVU structures its curriculum around immediate industry relevance: students learn data engineering pipelines, cloud platforms (AWS, Azure), and business intelligence tools alongside statistical modeling, preparing them for roles that are genuinely in demand in Utah's growing tech economy. The program leverages partnerships with regional software companies and startups to host project-based learning experiences where teams tackle real analytics challenges. Faculty include practitioners with experience at established tech firms, bringing current industry standards into the classroom. The distinctive strength lies in UVU's responsiveness to employer feedback—the program evolves its course offerings annually based on skills gaps identified by hiring managers, ensuring graduates possess tools companies are actively seeking. Career outcomes skew toward data engineering, analytics engineering, and BI developer roles, reflecting the program's emphasis on technical infrastructure and data pipeline skills alongside statistical analysis.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Proximity to Salt Lake City tech ecosystemRegional access to fintech, software, and manufacturing firms
University of Utah — Salt Lake City, UT
Key Distinction: One of the first comprehensive Data Science bachelor's degrees in the Mountain West. Utah Center for Data Science membership opportunities
Hakia Insight: Utah's SCI Institute—a rare undergraduate research gateway—lets data science majors co-author papers in scientific visualization and computational biology, positioning them for PhD programs and research roles before most peers have finished intro CS courses.
The BS in Data Science at the University of Utah is one of the first comprehensive data science bachelor's degrees in the Mountain West. The curriculum combines computer science fundamentals, software engineering, and data analysis to prepare students for the growing demand in healthcare, finance, and internet industries. Students learn to build, modify, and use software tools for data analysis while developing skills in ethical decision-making based on data. The program requires calculus, linear algebra, and programming prerequisites, with specialized courses like DS 2500 Data Wrangling. Graduates typically start in entry-level positions as Data Engineers and Data Analysts before advancing to Data Scientist roles. According to Forbes and Glassdoor data cited by the program, Data Scientist has been named the best job in America for three consecutive years with a median base salary of $110,000 and over 4,500 job openings nationally. The field is expected to grow 28% through 2026 according to the U.S. Bureau of Labor Statistics.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- Scientific Computing and Imaging (SCI) Institute
- Computational Biology and Bioinformatics
Industry Partners
- Recursion Pharmaceuticals (startup)
- University of Utah Health (nonprofit)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Chris Johnson — Scientific visualization, computational science
Accreditations and Certifications
Location Advantages: Salt Lake City health tech and biotech ecosystemProximity to national research labs and medical institutionsGrowing software and AI industry presence in region
Utah State University — Logan, UT
Key Distinction: Strong emphasis on domain-driven data science (agriculture, environmental, energy) with embedded industry capstones that produce immediately portfolio-ready graduates.
Hakia Insight: Utah State's emphasis on agricultural analytics and water resources creates a built-in portfolio advantage: students graduate with real datasets and capstone projects from the Utah Division of Water Resources, tangible proof of domain expertise that employers in climate tech and natural resources actively seek.
At the bachelor's level, utah State's data science program emphasizes applied statistical modeling and computational problem-solving from the ground up, with particular strength in agricultural analytics, environmental data science, and time-series forecasting. The curriculum integrates hands-on projects tied to real datasets from regional industries—agriculture, water management, and energy sectors—giving students portfolio work that resonates with employers in the Mountain West. Faculty research spans Bayesian methods, machine learning for sustainability, and data visualization, with several professors maintaining active industry consulting relationships. Students benefit from proximity to the Cache Valley tech ecosystem and direct connections to companies like Autodesk and regional startups. The program's capstone sequences are notably industry-embedded, meaning students often work on live problems from partner organizations rather than synthetic case studies. For those interested in data science applied to domain-specific challenges—rather than pure tech company pipelines—USU offers a distinctive regional advantage and mentorship-rich environment.
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
- Data Analysis and Visualization Lab
- Sustainable Intensification Group
Industry Partners
- Autodesk (corporate)
- Utah Division of Water Resources (government)
Career Outcomes
Top Employers: Autodesk, local energy and agriculture firms.
Notable Faculty
- John R. Stevens — Bayesian statistics and machine learning
- Piyush Mehta — Time-series analysis and forecasting
Admissions
GPA Requirement: 3.0 GPA for last 60 credits. Application Deadline: Fall: March 1, Spring: December 1.
Requirements:
Location Advantages: Cache Valley tech ecosystemproximity to agricultural and water resource industries in the Mountain West
Southern Utah University — Cedar City, UT
Key Distinction: Intimate program with early research involvement and applied focus on tourism, outdoor recreation, and regional analytics—ideal for students who thrive with direct faculty mentorship.
Hakia Insight: SUU's tourism and outdoor recreation focus sounds niche until you realize it offers something rare at the bachelor's level: proprietary datasets and direct partnerships with an industry experiencing explosive growth, letting students develop specialization-grade expertise in one of the fastest-growing data domains.
At the bachelor's level, SUU's data science program emphasizes applied problem-solving through a curriculum that bridges classical statistics with modern machine learning techniques. The program distinguishes itself by integrating real-world datasets from regional industries—particularly in outdoor recreation, tourism analytics, and environmental monitoring—into core coursework, allowing students to build portfolios with tangible business impact from day one. Faculty maintain active consulting relationships with Utah-based companies, creating pathways for internships and capstone projects that often convert to full-time offers. The program's size enables close mentorship, with professors knowing students by name and tailoring research opportunities to individual interests. Graduates report strong placement in data analyst and junior data scientist roles across healthcare, finance, and tech sectors in the Mountain West region. The curriculum progresses from foundational statistics and programming (Python, R, SQL) through specialized tracks in predictive modeling, business analytics, and data visualization, with flexibility to pursue electives in domains like environmental data science that reflect local institutional strengths.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Industry Partners
- Utah Office of Tourism (government)
Location Advantages: Proximity to Utah tech corridors in Salt Lake City regionAccess to outdoor/tourism industry datasets
Utah Tech University — Saint George, UT
Key Distinction: Industry-immersed curriculum with integrated co-op pathways, contemporary tech stacks, and faculty with active consulting/corporate backgrounds.
Hakia Insight: Utah Tech's co-op model embeds paid industry work directly into the degree, not as an optional internship—meaning graduates arrive at full-time roles having already shipped code and solved real problems for SkyWest and regional startups, collapsing the traditional 'junior developer' ramp-up period.
At the bachelor's level, utah Tech University's data science program emerges from an institution with deep roots in engineering and technology education, positioning students within a culture of technical rigor and practical problem-solving. The curriculum integrates data science with the university's strengths in engineering applications, offering tracks that allow specialization in areas like geospatial data analysis, IoT sensor data, and industrial analytics—areas where Utah Tech's regional identity (proximity to mining, energy, and outdoor technology sectors) creates unique project opportunities. Students engage with real datasets from regional industries and university research initiatives, building experience with domain-specific challenges before graduation. The program emphasizes both statistical foundations and modern ML frameworks, with hands-on labs in programming, data visualization, and predictive modeling. Faculty include researchers active in applied domains, bridging academic theory and industry practice. Graduates typically pursue roles as data analysts, data engineers, or junior scientists in tech companies, energy firms, and research institutions across the Mountain West. The smaller cohort size facilitates direct faculty engagement and customized capstone projects, with students often completing applied work that extends into graduate-level research or industry contracts.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Industry Partners
- SkyWest Airlines (corporate)
- local software startups in St. George (startup)
Career Outcomes
Top Employers: SkyWest Airlines, regional tech companies.
Location Advantages: Proximity to growing St. George tech ecosystemaccess to SkyWest and regional employers
Westminster University — Salt Lake City, UT
Key Distinction: Ethics-forward data science program embedded in the Denver tech market, emphasizing responsible AI and social impact alongside technical rigor.
Hakia Insight: Westminster's Center for Data Ethics and Society isn't window dressing; it's an active research lab where undergraduates study algorithmic bias and fairness alongside Google and Palantir engineers, a credential that increasingly separates candidates in industries where responsible AI governance is becoming non-negotiable.
At the bachelor's level, westminster's data science program thrives on the principle that rigorous analytics education serves social good and ethical decision-making, not extraction alone. Embedded within Denver's Front Range ecosystem—one of the nation's fastest-growing tech hubs—students gain internship and job opportunities at companies like Google, IBM, and Palantir while also working with nonprofits and government agencies on public interest data challenges. The curriculum balances statistical theory, machine learning implementation, and data ethics, with particular emphasis on fairness, transparency, and responsible AI. Faculty include practitioners and researchers who actively contribute to industry standards around ethical AI and bias mitigation. Small class sizes and a liberal arts ethos mean that communication skills and cross-disciplinary collaboration are woven in alongside Python and SQL. For students who want technical depth *and* to think critically about data's societal impact, Westminster offers an unusually thoughtful positioning.
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
- Center for Data Ethics and Society
Industry Partners
- Google (corporate)
- IBM (corporate)
- Palantir (corporate)
- Colorado Department of Public Health and Environment (government)
Career Outcomes
Top Employers: Google, IBM, Palantir, local nonprofits and government agencies.
Notable Faculty
- null — Data ethics and fairness in machine learning
Location Advantages: Denver Front Range tech hub—proximity to Google, IBM, Palantir, and other major employersaccess to public sector and nonprofit data challenges
Best Master's Data Science Degree Programs in Utah
Western Governors University — Salt Lake City, UT
Key Distinction: WGU's competency-based, self-paced model lets students advance by proven mastery rather than seat time, making it uniquely accessible to working professionals seeking a flexible yet rigorous data science credential.
Hakia Insight: WGU's competency-based model means a working data engineer can complete the MS in 12 months rather than 24 by demonstrating mastery through projects, not semesters—saving $20K+ in tuition and opportunity cost while maintaining rigor that employers (including tech giants) recognize.
WGU's data science programs operate on a competency-based model fundamentally different from traditional semester-paced universities—students advance by demonstrating mastery rather than accumulating credit hours, enabling accelerated completion for well-prepared learners and flexible pacing for those balancing work and study. This structure is particularly attractive to working professionals already in analytics or tech roles seeking credentials without career interruption. The curriculum spans data analysis, machine learning, statistical inference, and big data technologies, with degree pathways available at both bachelor's and master's levels. WGU's online-first design means instruction and assessment are optimized for remote learners, with capstone projects anchored in real datasets and business scenarios rather than contrived academic exercises. The program benefits from WGU's institutional scale—the university's data on thousands of graduates provides concrete outcome tracking and continuous curriculum refinement. While WGU lacks traditional research labs, the emphasis on applied competency and industry-relevant skills has generated strong outcomes in tech hubs and established companies seeking data professionals. The master's program particularly attracts career-switchers and mid-level professionals aiming for senior analyst or data science leadership roles.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Location Advantages: Fully online, accessible from any location
Brigham Young University — Provo, UT
Key Distinction: Coursework track with culminating project (no thesis). Teaching and research assistantship opportunities with faculty mentoring
Hakia Insight: BYU's cohort model with Google, Microsoft, and Apple partnerships creates a closed ecosystem where students solve real problems from the Valley's leading firms and often convert capstone projects into job offers, bypassing the typical recruiting gauntlet.
The Master of Science in Statistics at BYU is an immersive, cohort-based program designed for students with strong quantitative backgrounds. The program includes 30 credit hours of coursework, a comprehensive exam, and a culminating project rather than a traditional thesis. Students gain valuable professional experience through teaching or research assistantships, working one-on-one with faculty and mentoring undergraduates. The program offers three emphasis tracks: Biostatistics (public health/biomedical research), Data Science (discovery and decision-making), and Mathematical Statistics (theoretical foundations for PhD preparation). Strong career outcomes show 65% employment placement at companies like Mayo Clinic, Qualtrics, Milliman, and Sandia National Labs, while 35% pursue doctoral degrees at prestigious institutions including Harvard, Duke, and Boston University. The program emphasizes developing leadership, communication, and analytical skills alongside technical expertise.
Programs Offered
- Master of Science in Statistics — 1-2 years, on-campus. MS
Research Labs and Institutes
- Computer Vision and Graphics Laboratory
Industry Partners
- Google (corporate)
- Microsoft (corporate)
- Apple (corporate)
Accreditations and Certifications
Location Advantages: Proximity to Silicon Valley tech companiesStrong Utah tech ecosystem presence
Weber State University — Ogden, UT
Key Distinction: Regionally rooted program emphasizing manufacturing, logistics, and aerospace analytics with flexible scheduling for working professionals.
Hakia Insight: Weber State's intimate proximity to Hill Air Force Base—one of the nation's largest employers of data scientists—combined with flexible evening scheduling, creates a direct pipeline for working professionals in aerospace and defense to earn a relevant credential without leaving their roles.
At the master's level, weber State's data science program leans into the strengths of a comprehensive regional institution: affordability, flexibility, and deep ties to Ogden's manufacturing, logistics, and aerospace sectors. The curriculum scaffolds from foundational statistics and programming through specialized electives in predictive modeling, supply chain analytics, and industrial data science. Many students are working professionals or part-time learners, so the program offers both evening and online sections without compromising rigor. Faculty expertise clusters around manufacturing optimization, operations research, and applied statistics—skills directly transferable to the employers dominating the Ogden-Salt Lake corridor (Hill Air Force Base, manufacturing firms, distribution centers). Capstone projects often emerge from real problems in regional industry, meaning graduates enter the job market with portfolio pieces from companies they may already work for or will target. If you're seeking a solid technical education at an accessible price point, with curriculum tailored to regional economic realities, Weber State is strategically positioned.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Research Labs and Institutes
- Applied Statistics and Operations Research Lab
Industry Partners
- Hill Air Force Base (government)
- regional manufacturing and logistics firms (corporate)
Career Outcomes
Top Employers: Hill Air Force Base, regional manufacturing and distribution companies.
Location Advantages: Proximity to Hill Air Force Base and Ogden manufacturing/logistics employersWasatch Front proximity to Salt Lake City tech corridor
Utah Valley University — Orem, UT
Key Distinction: UVU's data science education integrates domain-specific applications across business, engineering, and health sectors, directly connecting students to Utah's regional tech and corporate ecosystem.
Hakia Insight: UVU's curriculum was co-designed with fintech, software, and manufacturing firms already operating in Utah's booming regional market, meaning coursework maps directly to actual job descriptions students will encounter six months after graduation in their own backyard.
At the master's level, utah Valley University's data science initiative reflects the school's commitment to workforce-aligned education, with a program designed in close consultation with employers in the Wasatch Front tech ecosystem. Rather than pursuing pure research orientation, UVU structures its curriculum around immediate industry relevance: students learn data engineering pipelines, cloud platforms (AWS, Azure), and business intelligence tools alongside statistical modeling, preparing them for roles that are genuinely in demand in Utah's growing tech economy. The program leverages partnerships with regional software companies and startups to host project-based learning experiences where teams tackle real analytics challenges. Faculty include practitioners with experience at established tech firms, bringing current industry standards into the classroom. The distinctive strength lies in UVU's responsiveness to employer feedback—the program evolves its course offerings annually based on skills gaps identified by hiring managers, ensuring graduates possess tools companies are actively seeking. Career outcomes skew toward data engineering, analytics engineering, and BI developer roles, reflecting the program's emphasis on technical infrastructure and data pipeline skills alongside statistical analysis.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Location Advantages: Proximity to Salt Lake City tech ecosystemRegional access to fintech, software, and manufacturing firms
University of Utah — Salt Lake City, UT
Key Distinction: Coursework-only track (non-research oriented). Designed for working professionals
Hakia Insight: University of Utah's Biomedical Informatics program is the only coursework-only track in the state designed for healthcare IT professionals, letting clinicians and biotech researchers earn a graduate credential without abandoning their careers for a thesis—a rare accommodation that acknowledges where most healthcare data science jobs actually live.
The Master of Science in Biomedical Informatics is designed specifically for working professionals in healthcare, biology, IT, and data science. This coursework-only program (non-research oriented) offers three specialized emphases: Applied Clinical Informatics, Biomedical AI and Data Science, and Translational Bioinformatics. Students complete a minimum of 30 credits including core courses, specialized emphasis courses, and a practical practicum. The program leverages industry partnerships with leaders who shape curriculum, participate in practicums, and mentor students. Graduates join a network of over 500 alumni in diverse roles across clinical medicine, private industry, academia, public health, and government. The University of Utah houses the first biomedical informatics department in the U.S. and is recognized as one of the most prestigious informatics programs globally, offering strong career advancement opportunities in the rapidly expanding health informatics field.
Programs Offered
- Master of Science in Biomedical Informatics — 1-2 years, on-campus. MS
Research Labs and Institutes
- Scientific Computing and Imaging (SCI) Institute
- Computational Biology and Bioinformatics
Industry Partners
- Recursion Pharmaceuticals (startup)
- University of Utah Health (nonprofit)
Notable Faculty
- Chris Johnson — Scientific visualization, computational science
Accreditations and Certifications
Location Advantages: Salt Lake City health tech and biotech ecosystemProximity to national research labs and medical institutionsGrowing software and AI industry presence in region
Utah State University — Logan, UT
Key Distinction: Plan A thesis-required program. Graduate assistantships available: fellowships, teaching assistantships (20 hrs/week), research assistantships
Hakia Insight: Utah State's thesis requirement paired with guaranteed graduate assistantships ($15K–$20K stipends) flips the economics for research-focused students: you're paid to build your portfolio and publish, not charged to pursue it, a structure that attracts serious researchers away from costlier R1 programs.
The Data Science Master of Science at Utah State University is a Plan A thesis-required degree program designed for research-focused careers. The 30-credit program includes 9 required credits, 14 elective credits, 6 thesis research credits (CS6970/STAT6970), and 1 seminar credit. Students must complete a thesis proposal and defense. Graduate assistantships are available including fellowships for top students, teaching assistantships (20 hours/week), and research assistantships from individual faculty, typically providing stipends plus tuition waivers up to 9 credits. The department prioritizes funding for research grant-supported students and those in good academic standing. Students work closely with faculty advisors and form supervisory committees. The program requires demonstrated proficiency in Python, data structures, and statistics for admission. This research-intensive degree prepares graduates for advanced data science roles in industry and academia.
Programs Offered
- Data Science Master of Science — 1-2 years, on-campus. MS
Research Labs and Institutes
- Data Analysis and Visualization Lab
- Sustainable Intensification Group
Industry Partners
- Autodesk (corporate)
- Utah Division of Water Resources (government)
Career Outcomes
Top Employers: Autodesk, local energy and agriculture firms.
Notable Faculty
- John R. Stevens — Bayesian statistics and machine learning
- Piyush Mehta — Time-series analysis and forecasting
Admissions
GPA Requirement: 3.0 GPA for last 60 credits. Application Deadline: Fall: March 1, Spring: December 1.
Requirements: 9 credits from required courses, 14 additional credits from required or elective courses, 1 credit CS6900 Seminar, 6 credits thesis research (CS6970 or STAT6970), Thesis proposal and defense, Maintain 3.0 GPA, No grades below C+ accepted
Location Advantages: Cache Valley tech ecosystemproximity to agricultural and water resource industries in the Mountain West
Best Doctoral Data Science Degree Programs in Utah
University of Utah — Salt Lake City, UT
Key Distinction: The University of Utah's R1 research environment and domain expertise in health sciences, computational biology, and visual analytics position graduates for advanced roles in medical AI and scientific computing.
Hakia Insight: University of Utah's dual appointment model—where PhD students train under faculty with active consulting relationships at Recursion Pharmaceuticals and University of Utah Health—means your dissertation solves industry problems, not hypotheticals, creating immediate pathways to roles in medical AI and biotech.
The University of Utah's data science program harnesses the research prowess of a top-tier R1 institution while remaining deeply engaged with industry. Students in the Data Science MS program train under faculty conducting cutting-edge research in machine learning, bioinformatics, computational science, and statistical inference—and many students contribute directly to those research initiatives. The curriculum balances foundational statistics and algorithms with specialized tracks in areas like computational biology, visual analytics, and large-scale data systems, allowing students to shape their focus around their career aspirations. The University of Utah's location in Salt Lake City, a growing hub for health tech, biotech, and software innovation, provides exceptional internship and placement opportunities; plus, the university's medical school and health sciences research create unique pipelines into healthcare analytics and precision medicine—sectors offering some of the most intellectually stimulating and well-compensated data science roles. The faculty includes experts who have shaped the field; their mentorship can open doors to postdoctoral positions, industry research labs, and leadership roles in tech. For graduate students especially, the University of Utah offers a rare blend: world-class research infrastructure, domain expertise across sectors, and strong employer relationships that translate directly into competitive career outcomes.
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
- Scientific Computing and Imaging (SCI) Institute
- Computational Biology and Bioinformatics
Industry Partners
- Recursion Pharmaceuticals (startup)
- University of Utah Health (nonprofit)
Career Outcomes
Top Employers: Tech companies, Healthcare and biotech firms, National laboratories.
Notable Faculty
- Chris Johnson — Scientific visualization, computational science
Accreditations and Certifications
Location Advantages: Salt Lake City health tech and biotech ecosystemProximity to national research labs and medical institutionsGrowing software and AI industry presence in region
Brigham Young University — Provo, UT
Key Distinction: BYU combines rigorous algorithmic and mathematical foundations with active research participation and elite industry connections, producing data scientists capable of designing and deploying complex systems at scale.
Hakia Insight: BYU's doctoral program punches above its weight by tethering theoretical rigor to Google, Microsoft, and Apple research collaborations; graduates publish in top venues while having already solved production-scale problems, a combination that makes them immediately credible for research scientist and distinguished engineer roles.
At the doctoral level, BYU's data science education thrives on deep computational theory married with cutting-edge applications. The program, anchored in BYU's Computer Science Department, develops students who can architect machine learning systems, not merely apply them—beginning with foundational coursework in algorithms, numerical methods, and statistical inference before advancing to deep learning, computer vision, and large-scale data engineering. What sets BYU apart is the emphasis on research-backed problem solving; undergraduates frequently join faculty research projects in machine learning, natural language processing, and data visualization, giving them genuine research credentials upon graduation. The university's strong ties to Silicon Valley and established tech companies (particularly those with Utah operations) mean students access internships at companies like Google, Microsoft, and Apple. BYU also cultivates a rigorous mathematical foundation—graduates often excel at technical interviews and complex algorithmic challenges. The culture of innovation is palpable: student projects regularly win competitions, and the university invests heavily in high-performance computing infrastructure. For students seeking both intellectual depth and clear industry pathways, BYU's program delivers a significant competitive edge, particularly for roles requiring systems-level data science thinking.
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
- Computer Vision and Graphics Laboratory
Industry Partners
- Google (corporate)
- Microsoft (corporate)
- Apple (corporate)
Career Outcomes
Top Employers: Google, Microsoft, Apple, Tech startups.
Accreditations and Certifications
Location Advantages: Proximity to Silicon Valley tech companiesStrong Utah tech ecosystem presence