Best Bachelor's Data Analytics Degree Programs in Utah
Western Governors University — Salt Lake City, UT
Hakia Insight: WGU's competency-based model for data analytics—where students demonstrate mastery rather than seat time—compresses programs for fast learners and extends them for those needing deeper practice, creating invisible flexibility that traditional semester structures can't match; the tradeoff is minimal institutional hand-holding.
WGU offers a Data Analytics bachelor's degree online through their School of Technology, with both bachelor's and master's level programs available.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Location Advantages:
Utah State University — Logan, UT
Key Distinction: Hands-on experience with latest data technologies and sophisticated analytical methods. Real-world problem-solving across all organizational functions
Hakia Insight: Utah State's partnerships with USDA and NOAA aren't ornamental: students gain access to agricultural and climate datasets that private-sector programs lack, plus Huntsman School of Business placement networks, making this a funnel into federal and agribusiness analytics roles that business-school peers rarely reach.
The Bachelor of Science in Data Analytics at Utah State University's Huntsman School of Business prepares students for high-demand careers in data science and analytics. The program provides hands-on experience with cutting-edge data technologies, machine learning, artificial intelligence, data engineering, visualization, and data mining through rigorous computer programming and analytical coursework. Students tackle real-world problem-solving across all organizational functions including strategy, sales, marketing, accounting, finance, human resources, and operations. The curriculum combines Huntsman Core business requirements with specialized Data Analytics major courses. Career development services support students from day one with interview preparation, professional networking, and job searching. Graduates pursue roles as Data Analysts, Data Scientists, Data Engineers, Machine Learning Engineers, and Business Analysts at major companies and organizations.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus. BS
Research Labs and Institutes
- Department of Mathematics and Statistics
Industry Partners
- USDA (government)
- NOAA (government)
Career Outcomes
Top Employers: Intel.
Admissions
GPA Requirement: 3.0 minimum.
Requirements: University Studies Requirements (General Education and Depth Requirements), Huntsman Core Requirements (Business Acumen), Data Analytics Major Requirements (upper-level specialized courses), Foreign language proficiency for BA option
Location Advantages: Proximity to USDA research facilities and federal agricultural programsAccess to natural environment datasets and monitoring networks across Mountain West region
University of Utah — Salt Lake City, UT
Key Distinction: One of the first comprehensive data science bachelor's degrees in the Mountain West. Focus on ethical decision-making with data
Hakia Insight: University of Utah's Kahlert School program—one of the Mountain West's first comprehensive undergrad data science degrees—pairs Suresh Venkatasubramanian's algorithmic fairness expertise with Recursion Pharmaceuticals' proximity, creating a rare combination where students learn bias-aware analytics from a recognized researcher while interning at a precision-medicine biotech at scale.
The Bachelor of Science in Data Science at the University of Utah's Kahlert School of Computing is one of the first comprehensive data science degrees in the Mountain West. The program prepares students to develop and apply knowledge of computer science and software engineering to build and use software tools for data analysis. Students learn fundamentals of data analysis, processing, and ethical decision-making with large datasets. The curriculum includes core computer science courses, mathematics (calculus, linear algebra), data management, and analysis techniques, complemented by Data Domain electives exposing students to applications in healthcare, finance, and technology sectors. Graduates work across industries including healthcare, finance, and internet companies, often progressing from entry-level roles as Data Engineers or Data Analysts to Data Scientist positions. According to recent data, Data Scientist ranks among the best jobs in America with a median base salary of $110,000 and strong job growth projected at 28% through 2026.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- Kahlert School of Computing
- Huntsman Cancer Institute Data Science Lab
Industry Partners
- Goldman Sachs (corporate)
- Adobe (corporate)
- Microsoft (corporate)
- Recursion Pharmaceuticals (startup)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Suresh Venkatasubramanian — Algorithm fairness, algorithmic bias in machine learning
Location Advantages: Proximity to Salt Lake City tech hub (major presence from Microsoft, Adobe, Recursion)Access to University of Utah Health and Huntsman Cancer Institute for healthcare analytics projectsGrowing fintech sector in Utah's financial district
Brigham Young University — Provo, UT
Key Distinction: Two-course Data Science Capstone project option. Alternative Machine Learning track available instead of capstone
Hakia Insight: BYU's capstone-or-machine-learning track flexibility paired with Silicon Slopes proximity means students can tailor their 57-credit degree toward either academic depth (thesis research publishable at ML conferences) or immediate employment (productionized ML at Microsoft/Google/Amazon offices 30 minutes away), a choice most curricula force at grad school.
BYU's Bachelor of Science in Statistics with a Data Science Emphasis prepares students for analytics careers through a rigorous 56.5-57.5 credit curriculum emphasizing statistical modeling, computing, and data analysis. The program requires core statistics courses including probability, inference, regression, and Bayesian methods, complemented by mathematical foundations in calculus and linear algebra. Students develop practical skills in R programming, Python-based data science ecosystems, and statistical computing. The capstone option allows students to complete a two-course Data Science Capstone project, while alternative tracks include Machine Learning. The program emphasizes professional preparation with learning outcomes focused on statistical model fitting, technical communication, coding proficiency, and consulting skills. Elective courses span specialized domains including deep learning, survival analysis, biostatistics applications, and predictive analytics, enabling customization toward specific career paths in data science and analytics.
Programs Offered
- Bachelor of Science in Statistics: Data Science Emphasis — 4 years, on-campus. BS
Research Labs and Institutes
- Perception and Autonomy Lab
Industry Partners
- Microsoft (corporate)
- Google (corporate)
- Amazon (corporate)
Notable Faculty
Location Advantages: Utah's Silicon Slopes tech corridor with proximity to tech company offices and startupsStrong connection to broader Mountain West tech ecosystem
Utah Valley University — Orem, UT
Key Distinction: UVU's program excels at rapid, tool-focused preparation for entry-level analytics roles, emphasizing practical project work and internship integration over extended theoretical study.
Hakia Insight: UVU's proximity to Adobe's Lehi campus and the Provo/Orem tech corridor means internships aren't a networking afterthought—they're built into the regional hiring pipeline, with graduates often converting projects into permanent roles before graduation.
At the bachelor's level, utah Valley University's applied data analytics program prioritizes hands-on technical skills and rapid industry readiness. The curriculum front-loads practical tool proficiency—SQL, Python, Tableau, and cloud platforms like AWS and Azure—before moving into statistical foundations and machine learning. This pragmatic sequencing reflects UVU's mission-driven approach: get students job-ready quickly while building the theoretical depth needed for career progression. The program benefits from UVU's location in Utah County's growing tech corridor, with direct employer input shaping courses and frequent guest lectures from regional data teams. Students undertake real analytics projects with local manufacturing, healthcare, and software companies, translating classroom concepts into portfolio pieces within semesters. The faculty bring industry backgrounds—not just academic credentials—meaning instruction emphasizes tools and workflows professionals actually use daily. Internship placement is embedded into the curriculum, with strong connections to companies like Adobe (Lehi campus), and a range of mid-market tech employers throughout the region. Graduates typically enter roles as data analysts or junior data engineers, with clear pathways into more specialized roles as they gain experience.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Industry Partners
- Adobe (corporate)
- Savvis (corporate)
Location Advantages: Located in Utah County tech corridor near Adobe Lehi campusProximity to growing software and manufacturing sectors in Provo/Orem region
Best Master's Data Analytics Degree Programs in Utah
Western Governors University — Salt Lake City, UT
Hakia Insight: WGU's asynchronous competency-based model allows students to accelerate through modules they've already mastered in prior roles, making it the rare program where career changers don't lose credit for existing expertise.
WGU offers a Data Analytics bachelor's degree online through their School of Technology, with both bachelor's and master's level programs available.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Location Advantages:
Utah State University — Logan, UT
Key Distinction: Three distinct specialization tracks (MIS, Economics & Finance, Statistics). Integrated coursework across Statistics, MIS, Economics, Finance, and Computer Science
Hakia Insight: Utah State's partnership with USDA and NOAA gives students access to genuine environmental and agricultural datasets that span decades—the kind of longitudinal, real-world complexity that most analytics programs simulate but can't replicate.
The Master of Data Analytics (MDATA) at Utah State University trains professionals to meet growing demand for analytics expertise across statistics, business, and computer science. Students choose one of three specializations: Management Information Systems (data warehousing, mining, visualization, machine learning), Economics and Finance (asset pricing, portfolio analysis, risk management, financial modeling), or Statistics (statistical computing, high-dimensional data analysis, neural networks). The program integrates coursework across Statistics, MIS, Economics & Finance, and Computer Science. Graduates gain specialized skills applicable across organizations. The program is housed in the Jon M. Huntsman School of Business and College of Arts & Sciences, combining business and technical depth for mid-career professionals.
Programs Offered
- Master of Data Analytics — 1-2 years, on-campus. MDATA
Research Labs and Institutes
- Department of Mathematics and Statistics
Industry Partners
- USDA (government)
- NOAA (government)
Admissions
GPA Requirement: 3.0 minimum.
Requirements: Bachelor's degree with minimum 3.0 GPA, Three letters of recommendation (professional references acceptable if out of school 2+ years), Completion of application indicating specialization choice
Location Advantages: Proximity to USDA research facilities and federal agricultural programsAccess to natural environment datasets and monitoring networks across Mountain West region
University of Utah — Salt Lake City, UT
Key Distinction: Ranked #4 by TFE Times (2025) - top-ranked public business analytics program. Convenient schedule designed for working professionals
Hakia Insight: The University of Utah's #4 TFE ranking coexists with Suresh Venkatasubramanian's algorithmic bias research, meaning students study fairness not as an ethics module but as core curriculum taught by someone shaping national AI policy conversations.
The Master of Science in Business Analytics (MSBA) at the David Eccles School of Business is ranked #4 by TFE Times (2025) and is the top-ranked public business analytics program. The program combines innovative curriculum in data analytics and business with hands-on projects applying knowledge to real-world business challenges. Designed for working professionals, the program offers a convenient schedule with completion options up to 36 months. Graduates develop advanced skills in analytics technology and business management, positioning them for high-demand roles in both private and public sectors. The program emphasizes return on investment through strong starting salaries and employment outcomes.
Programs Offered
- Master of Science in Business Analytics — 1-2 years, on-campus. MS
Research Labs and Institutes
- Kahlert School of Computing
- Huntsman Cancer Institute Data Science Lab
Industry Partners
- Goldman Sachs (corporate)
- Adobe (corporate)
- Microsoft (corporate)
- Recursion Pharmaceuticals (startup)
Notable Faculty
- Suresh Venkatasubramanian — Algorithm fairness, algorithmic bias in machine learning
Location Advantages: Proximity to Salt Lake City tech hub (major presence from Microsoft, Adobe, Recursion)Access to University of Utah Health and Huntsman Cancer Institute for healthcare analytics projectsGrowing fintech sector in Utah's financial district
Brigham Young University — Provo, UT
Key Distinction: Cohort-based immersive program. Teaching and research assistant opportunities with one-on-one faculty mentoring
Hakia Insight: BYU's cohort model pairs students from tech companies, government agencies, and startups in the same classroom—creating a built-in professional network where classmates become long-term collaborators across sectors.
The Master of Science in Statistics from BYU is a 30-credit, cohort-based program designed for quantitative professionals seeking career advancement in data science, industry, and government roles. The program combines theoretical foundations with applied skills through coursework, a comprehensive exam, and a culminating project. Students gain valuable professional experience as teaching or research assistants, working directly with faculty. Three emphasis tracks—Biostatistics, Data Science, and Mathematical Statistics—allow customization toward career goals. Graduates achieve strong placement outcomes: 65% secure employment at leading organizations including Aetna, Cigna, Mayo Clinic, Qualtrics, and Sandia National Labs; 35% pursue doctoral degrees at top universities including Harvard, Duke, and Purdue. The program emphasizes leadership, communication, and analytical skills that differentiate BYU Statistics MS graduates in competitive markets.
Programs Offered
- Master of Science in Statistics — 1-2 years, on-campus. MS
Research Labs and Institutes
- Perception and Autonomy Lab
Industry Partners
- Microsoft (corporate)
- Google (corporate)
- Amazon (corporate)
Notable Faculty
Location Advantages: Utah's Silicon Slopes tech corridor with proximity to tech company offices and startupsStrong connection to broader Mountain West tech ecosystem
Southern Utah University — Cedar City, UT
Key Distinction: 100% online format designed specifically for working professionals. 7-week accelerated courses with multiple start dates throughout the year (Spring, Summer options)
Hakia Insight: Southern Utah's 7-week accelerated format with multiple annual start dates means a working professional can complete a full master's in 15 months without waiting for a fall cohort, collapsing the time-to-promotion timeline.
Southern Utah University's Master of Science in Business Analytics is a 100% online program designed for working professionals seeking rapid career advancement in data-driven roles. The 30-credit program can be completed in as few as 10 months through 7-week courses with multiple start dates annually. Students develop expertise in statistical analysis, data mining, predictive modeling, and machine learning through real-world applications. The curriculum includes 18 credit hours of core courses (featuring a capstone project applying analytics to business problems) and 12 credit hours of electives in advanced data science, programming, and big data technologies. No GRE required for admission. At $15,120 total tuition ($504/credit hour), this program offers exceptional affordability. Graduates pursue roles as Data Scientists, Data Analysts, Business Analysts, and Marketing Analysts across industries. The program emphasizes practical skill development with Python, R, Tableau, Hadoop, Spark, and AWS—tools directly applicable to mid-career salary advancement and leadership opportunities in analytics-driven organizations.
Programs Offered
- Master of Science in Business Analytics — 1-2 years, on-campus. MS
Admissions
GPA Requirement: 3.0 for automatic admission. Application Deadline: Multiple deadlines: 2/16/26, 5/4/26.
Requirements: 18 credit hours of core courses including capstone project, 12 credit hours of elective courses, Optional leveling course (BA 6000: Business Foundations, 3 credits) for applicants without business-related bachelor's degree, Official transcripts from accredited institution, Completion of graduate application
Accreditations and Certifications
Location Advantages: Rural Utah setting with growing tech sector interest
Best Doctoral Data Analytics Degree Programs in Utah
University of Utah — Salt Lake City, UT
Key Distinction: Utah's program stands out for its integration of domain-specific specializations tied directly to regional industry anchors—healthcare, fintech, and cybersecurity—combined with mandatory capstone work on live industry datasets.
Hakia Insight: The University of Utah's doctoral program mandates capstone work on live industry datasets from Goldman Sachs, Microsoft, and Recursion Pharmaceuticals—students graduate with publishable research and demonstrated impact, not just theory.
At the doctoral level, the University of Utah's data analytics program leverages its position in a thriving tech corridor to deliver curriculum deeply embedded in real-world problem-solving. Students engage with faculty conducting cutting-edge research in machine learning, statistical modeling, and predictive analytics, with opportunities to apply these skills through partnerships with regional tech companies and healthcare systems. The program emphasizes both technical depth—covering advanced SQL, Python, R, and cloud platforms—and business acumen, preparing graduates to move fluidly between data engineering and strategic analytics roles. What distinguishes the Utah experience is the emphasis on domain-specific applications: students can specialize in healthcare analytics (leveraging proximity to major medical institutions), fintech analytics (connected to Salt Lake City's growing financial sector), or cybersecurity analytics. The curriculum integrates capstone projects with local industry sponsors, meaning students graduate with portfolio pieces tied to real datasets and genuine business challenges. Faculty maintain active consulting relationships and research grants, ensuring curriculum stays current with emerging tools like advanced causal inference and automated machine learning. Graduates report strong placement rates into companies like Goldman Sachs, Adobe, and Microsoft, as well as regional leaders like Recursion Pharmaceuticals and local healthcare networks.
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
- Kahlert School of Computing
- Huntsman Cancer Institute Data Science Lab
Industry Partners
- Goldman Sachs (corporate)
- Adobe (corporate)
- Microsoft (corporate)
- Recursion Pharmaceuticals (startup)
Notable Faculty
- Suresh Venkatasubramanian — Algorithm fairness, algorithmic bias in machine learning
Location Advantages: Proximity to Salt Lake City tech hub (major presence from Microsoft, Adobe, Recursion)Access to University of Utah Health and Huntsman Cancer Institute for healthcare analytics projectsGrowing fintech sector in Utah's financial district