University campus in Rhode Island
Updated June 28, 2026

Best Data Analytics Degree Programs in Rhode Island, 2026 Rankings

Compare the top data analytics colleges in Rhode Island. 5 accredited data analytics schools ranked by graduation rate, career outcomes, and value, from University of Rhode Island to Bryant University.

#1 ProgramBryant
Avg Salary$103,450
Tuition From$14,116/yr
Job Growth+22%
On this page
Reviewed by Taylor Rupe, Founder & EditorSee methodology

6

Programs ranked

IPEDS 2024

$103,450

Rhode Island median data analytics salary

BLS OEWS 2024

84/100

Top program score

Hakia methodology

25%

U.S. job growth (2023–33)

BLS projections

Key Takeaways

Best data analytics degree programs: Bryant, Brown,

Ranked by graduation rates, program outcomes, and institutional quality

IPEDS 2024

Tuition ranges from $14,116 to $65,656/year

U of Rhode Island offers the most affordable option at $14,116/yr

IPEDS 2024

Data Analytics degree programs available: 4 master's in Rhode Island

From community college pathways to advanced research degrees

IPEDS 2024

Major employers: Fidelity Investments, CVS Health, Citizens Bank, FM Global

Tech hubs in Providence and Warwick

Hakia Research 2026

Data Analytics degree programs near 11+ cities across Rhode Island

Search by city to find programs within 200 miles of your location

IPEDS 2024

Updated June 28, 2026

How we ranked Rhode Island Data Analytics programs

We rank 6 accredited data analytics programs in Rhode Island using IPEDS 2024 institutional data, BLS OEWS 2024 state salary data, and College Scorecard outcomes. A 4-factor weighted composite is normalized to a 0–100 score. Schools cannot pay for placement; rankings are produced algorithmically.

Program completions (35%)Graduation rate (25%)Selectivity (20%)Career outcomes (20%)
See full methodology

Are Data Analytics Degree Programs in Rhode Island Worth It?

Answer
$103,450
Yes. The best data analytics degree programs in Rhode Island deliver strong ROI, graduates earn $103,450 median salary with +22% job growth through 2032. In-state tuition averages $43,403/year.

Source: BLS OEWS May 2024

Data Analytics Degree Rankings in Rhode Island

Compare the top-ranked Data Analytics programs in Rhode Island by degree level. Tuition, graduation rate, and Hakia Score for every accredited program.

Best Bachelor's Data Analytics Programs in Rhode Island

2
Programs ranked
$57,964
Avg tuition/yr
95%
Avg grad rate

Program Landscape

Rhode Island ranks among the nation's top destinations for data analytics education, with 2 accredited bachelor's degree programs across 0 public and 2 private institutions. The highest-ranked programs are Bryant, Brown, recognized for academic excellence, research opportunities, and strong industry connections.

Career Outcomes

Graduates from Rhode Island data analytics programs earn a median salary of $87,933, 10% below the national average. The state's robust technology sector, anchored by the Providence, Warwick, Cranston metropolitan areas, provides abundant internship and employment opportunities with companies including Fidelity Investments, CVS Health, Citizens Bank.

Costs & Value

Tuition ranges from $50,272 to $65,656 annually, with an average of $57,964/yr. Top programs maintain graduation rates above 95%, with the highest reaching 96%. Many programs hold ABET accreditation, the gold standard for computing education, ensuring curriculum meets rigorous industry standards.

Curriculum & Specializations

Students can choose from specializations including software engineering, cybersecurity, artificial intelligence, data science, and systems architecture. Strong industry partnerships provide access to co-op programs, capstone projects with real companies, and direct recruiting pipelines to Rhode Island's leading technology employers. For students seeking data analytics degrees in Rhode Island, these top-ranked data analytics schools offer the strongest combination of academic rigor and career preparation.

🥇
Bryant University
Smithfield, RIPrivate
$50,272
Tuition/yr
94%
Grad rate
79.5
Hakia Score

Best Master's Data Analytics Programs in Rhode Island

4
Programs ranked
$37,840
Avg tuition/yr
94%
Avg grad rate

Program Landscape

Rhode Island offers 4 master's degree programs in data analytics, designed for professionals seeking to advance into senior engineering, technical leadership, and specialized roles. The top programs, Bryant, Salve Regina, U of Rhode Island, combine advanced technical training with research opportunities and leadership development.

Career Outcomes

Master's graduates in Rhode Island earn a median salary of $103,450, approximately 20-30% higher than bachelor's degree holders. The concentration of technology companies in Providence, Warwick, Cranston creates strong demand for graduate-level talent, with Fidelity Investments, CVS Health, Citizens Bank actively recruiting from these programs.

Costs & Value

Program formats include traditional full-time study (typically 2 years), part-time options for working professionals (2-3 years), and accelerated tracks. Tuition averages $37,840/yr, with many employers offering tuition reimbursement for graduate education. Some programs offer thesis and non-thesis tracks, allowing students to focus on research or professional development based on their career goals.

Curriculum & Specializations

Curriculum covers advanced topics including machine learning, distributed systems, software architecture, and technical management. Many programs include practicum experiences, industry capstone projects, or consulting engagements that provide real-world application of advanced concepts. Among Rhode Island's data analytics schools at the graduate level, these programs stand out for both academic quality and career outcomes.

🥇
Bryant University
Smithfield, RIPrivate
$50,272
Tuition/yr
94%
Grad rate
83.5
Hakia Score

Data Analytics Degree Costs & Tuition in Rhode Island

MetricValue
Average in-state tuition$43,403/year
Average out-of-state tuition$108,508/year
Community college tuition$10,851/year
4-year savings for residents$260,420
2+2 transfer pathway savings$65,104

Source: IPEDS 2024

Financial Aid & Scholarships for Data Analytics Students in Rhode Island

State Aid Programs

Rhode Island offers strong financial aid pathways for students pursuing data analytics degrees. The state's flagship financial aid program, the Rhode Island Promise, covers full tuition at the Community College of Rhode Island (CCRI) for qualifying recent high school graduates, making it an excellent starting point for students interested in data analytics. This program removes significant financial barriers for students beginning their higher education journey at the associate's level. Beyond state-specific initiatives, all students in Rhode Island can access federal financial aid through the Free Application for Federal Student Aid (FAFSA). The Federal Student Aid portal provides comprehensive information on grants, loans, and work-study opportunities available to eligible students regardless of institution type.

Key Programs & Amounts

Many Rhode Island institutions offering data analytics programs provide institutional scholarships and merit-based aid packages. Private universities like Bryant University and Brown University offer competitive financial aid packages to admitted students, while public institutions such as the University of Rhode Island and Rhode Island College maintain lower tuition costs, reducing the overall financial burden. The College Scorecard allows prospective students to compare net price calculators across institutions. For more detailed information about state-level financial aid programs and resources, the Rhode Island Office of the Postsecondary Commissioner serves as the central authority for postsecondary education policy and funding. Students should also explore data science and related programs, as data science in Rhode Island programs often share similar financial aid structures and funding opportunities.

Data Analytics Degree ROI Calculator, Rhode Island

Use our interactive ROI calculator to estimate your return on investment for a data analytics degree in Rhode Island. Enter your expected tuition costs, financial aid, and career goals to see projected payback periods and lifetime earnings. The calculator uses current salary data from BLS and tuition data from IPEDS to provide accurate estimates.

Data Analytics Degree ROI Calculator

Estimate your return on investment for a data analytics degree

Leave blank to use average cost for selected program type

20 years
10 years20 years30 years
20-Year ROI

+907%

Net gain divided by total investment. ROI above 200% is considered excellent for education investments.

Net Gain

$1,677,254

Your additional lifetime earnings with this degree vs. working without one, minus the total investment.

Break-Even

5 years

Years until your cumulative earnings exceed total investment. Shorter programs often break even faster due to lower opportunity cost.

COL-Adjusted Salary

$133,333

Your starting salary adjusted for local cost of living. This shows real purchasing power compared to a $100K national baseline.

Why does break-even change with program type? Your "total investment" includes both tuition AND opportunity cost (foregone earnings while in school). A 4-year full-time public university (in-state) means 4 years of not earning a salary ($140,000 in opportunity cost). Shorter full-time programs may have higher tuition but lower total investment because you return to the workforce sooner.

Detailed Breakdown

How we calculate your degree ROI using real salary data

Total Investment$185,000

Tuition plus opportunity cost (earnings you miss while in school)

Program Cost (Tuition)$45,000

Direct cost of the degree program

Opportunity Cost$140,000

4 years × $35K/year foregone salary while studying full-time

20-Year Earnings (with degree)$2,712,662

Projected career earnings starting after graduation, with salary growth

20-Year Earnings (without degree)$850,408

What you'd earn working at $35K/year with 2% annual growth

Starting Salary (Austin, TX)$140,000

Median salary for this role in your selected location (BLS 2024)

Annualized Return4.9%

Your investment's compound annual growth rate (similar to stock market returns)

Data sources: BLS OEWS May 2024, IPEDS 2024. Calculations use median salaries, 3% discount rate, and assume salary growth declines from 6% to 2% over career. Individual results will vary. | Powered by Hakia.com

Data Analytics Salaries by Metro Area

Median annual salary in Rhode Island metro areas

Providence$114K
Warwick$109K
Cranston$103K
View data table
CategoryValue
Providence$114K
Warwick$109K
Cranston$103K

Source: BLS OEWS May 2024

Hakia.com

Top Employers Hiring Data Analytics Graduates in Rhode Island

Find data analytics jobs in Rhode Island. These major employers across Rhode Island metro areas are actively hiring data analytics degree holders. Click employer names to view current job openings.

Data Analytics Jobs in Providence

RI
CVS Health
healthcare
Citizens Financial Group
finance
Fidelity Investments
finance
Infosys
consulting

Data Analytics Jobs in Warwick

RI
GTECH/IGT
gaming-tech
Amica Insurance
insurance

Transfer Pathways for Data Analytics Degrees in Rhode Island

State Transfer System

Rhode Island's transfer system facilitates seamless academic progression from two-year to four-year institutions, enabling students to begin data analytics education affordably at community colleges and transfer credits toward bachelor's degrees. The state has 2 two-year institutions that offer foundational coursework in mathematics, programming, and statistics, prerequisites essential for upper-level data analytics courses. The Rhode Island Transfer Agreements formally coordinate articulation between institutions, ensuring that credits earned at the Community College of Rhode Island (CCRI) transfer directly to four-year public universities including University of Rhode Island and Rhode Island College, both ranked among the state's top programs.

How Transfers Work

The Rhode Island Promise program covers tuition costs at the Community College of Rhode Island for qualifying recent high school graduates, reducing financial barriers to entry and enabling students to complete foundational coursework before transferring. This pathway is particularly valuable for students seeking data analytics preparation, as community college courses in calculus, linear algebra, database fundamentals, and introductory programming align directly with bachelor's program requirements at Bryant University and University of Rhode Island. Students should work closely with CCRI advisors and transfer counselors to ensure course selection supports their target four-year institution's prerequisites. Explore related fields such as Data Science in Rhode Island and Information Systems in Rhode Island to identify complementary transfer-eligible coursework that strengthens analytical competencies throughout the transfer process.

Why Pursue a Data Analytics Degree in Rhode Island?

Industry & Workforce

Rhode Island offers a strong ecosystem for data analytics education, with 10 institutions currently offering data analytics programs across associate, bachelor's, and master's degree levels (IPEDS). The state's higher education landscape includes 4 bachelor's programs and 6 master's programs, producing 30 bachelor's completions and 63 master's completions annually. This concentrated offering provides students with multiple pathways to enter the data analytics field while maintaining strong connections to regional employers and industry leaders.

Salary Outlook

Rhode Island's major employers, including Lifespan, CVS Health, Brown University, and Care New England, actively seek data analytics professionals, creating abundant internship and career opportunities throughout the Providence-Warwick metro area. The state's affordable public tuition averages $11,799 for in-state students at four-year institutions, significantly lower than the out-of-state average of $29,263 (IPEDS). Top-ranked programs like Bryant University, which leads the state with 77 completions, and University of Rhode Island provide exceptional educational quality alongside affordability. Prospective students should also explore related fields such as Data Science in Rhode Island and Machine Learning in Rhode Island to build comprehensive analytical competencies.

Data Analytics Program Availability in Rhode Island

5 Programs
Rhode Island offers 5 accredited data analytics programs across public universities, private colleges, and community colleges. Top tech hubs include Providence, Warwick, Cranston.

Source: IPEDS 2024

Data Analytics Job Market & Salary Data in Rhode Island

Employment Outlook

Rhode Island's data analytics job market is supported by a strong educational infrastructure, with 10 institutions offering data analytics programs at various levels (IPEDS). The state has demonstrated strong completion rates, with 63 master's degree completions and 30 bachelor's degree completions reported in recent academic years. This talent pipeline feeds into a competitive labor market centered around the Providence-Warwick metropolitan area, which serves as the primary hub for data analytics employment in the state. The state's public four-year institutions offer average in-state tuition of $11,799, making education accessible for future data professionals seeking to enter the workforce (IPEDS).

Salaries by Metro

The Rhode Island job market for data analytics professionals is shaped by major employers operating across healthcare, retail, and higher education sectors. Current employment trends and wage data for the state can be accessed through the (BLS State Data), which provides detailed occupational information. Graduates from leading institutions like Bryant University, which leads the state with 77 completions, are well-positioned to compete in this market. Additionally, prospective students may explore related fields such as Data Science in Rhode Island or Machine Learning in Rhode Island to better understand the broader analytics career landscape. The state's commitment to accessibility, demonstrated through programs like the Rhode Island Promise, helps develop the workforce pipeline necessary to meet employer demand.

Entry-Level (0-2 yrs)

New graduates and career changers

Senior (8+ yrs)

Technical leads and architects

Median Salary in Rhode Island$67,243$150,003
Typical RolesJunior Developer, AnalystStaff Engineer, Architect
Remote Work AccessLimitedCommon
Degree ExpectationBachelor's sufficientMaster's preferred

Online vs On-Campus Data Analytics Programs in Rhode Island

Online Programs

0 available in Rhode Island

On-Campus Programs

Traditional classroom experience

Typical Tuition$39,063/yr$43,403/yr
Schedule FlexibilitySelf-paced or asyncFixed schedule
NetworkingVirtual cohortsIn-person, career fairs
Best ForWorking professionalsTraditional students
Completion Time2-4 years (flexible)4 years (standard)

Compare Data Analytics Programs in Other States

Data Analytics Degree Programs in Rhode Island: FAQ

What are the best data analytics degree programs in Rhode Island?
The best data analytics degree programs in Rhode Island based on our methodology are: 1) Bryant University (94% graduation rate), 2) Brown University, and 3) N/A. Our rankings weight graduation rates (25%), program completions (35%), selectivity (20%), and career outcomes (20%). Rhode Island offers 5 total accredited programs across 1 public and 4 private institutions. See our complete rankings for all 2 bachelor's programs.
How much do data analytics degree programs cost in Rhode Island?
Data Analytics degree program costs in Rhode Island vary significantly by institution type. In-state public tuition averages $43,403/year, while private institutions average $95,487/year. Community colleges offer the most affordable path at approximately $10,851/year for associate's degrees. The total 4-year cost ranges from $173,612 at public schools to $381,946 at private institutions before financial aid. Most students don't pay full sticker price, federal grants, state aid, and institutional scholarships can reduce costs by 30-60%.
What salary can data analytics degree graduates earn in Rhode Island?
Data Analytics professionals in Rhode Island earn a median salary of $103,450, which is competitive with the national average of $115,500. Entry-level positions typically start around $67,243, while senior roles exceed $150,003. Salaries vary by metro area: Providence ($113,795), Warwick ($108,623) offer the highest compensation. Specialized roles like AI/ML engineers and cloud architects command premiums of 15-30% above median.
Are there online data analytics degree programs in Rhode Island?
Yes, Rhode Island offers 0 accredited online Data Analytics programs from state institutions. These programs award the same degree as on-campus options and include synchronous and asynchronous formats. Top-ranked online programs include offerings from various state universities. Online programs typically cost the same as on-campus tuition for in-state students. Many programs offer flexible scheduling for working professionals, with some offering accelerated completion in 2-3 years. Ensure any online program holds regional accreditation and ideally ABET accreditation for engineering programs.
What companies hire data analytics degree graduates in Rhode Island?
Major Data Analytics employers in Rhode Island include Fidelity Investments, CVS Health, Citizens Bank, FM Global, Textron. The Providence and Warwick metro areas serve as primary tech hubs with thousands of open positions. Top employers maintain recruiting pipelines directly from Rhode Island universities, with many offering internship-to-hire programs. Beyond tech giants, opportunities exist in healthcare IT, financial services, defense contractors, and growing startups. Rhode Island's tech sector shows +22% projected job growth through 2033, outpacing most other industries.
Is a data analytics degree program worth it in Rhode Island?
A data analytics degree program in Rhode Island offers strong ROI with a $103,450 median salary and +22% projected job growth. At average in-state tuition of $43,403/year, graduates typically recoup their educational investment within 3-5 years. The degree opens doors to high-paying careers in software development ($116,898), data science, cybersecurity, and AI/ML. Beyond salary, benefits include job security, remote work flexibility, and clear advancement paths. Alternative paths like bootcamps exist for career changers, but bachelor's degrees provide broader career options and higher lifetime earnings.
How long do data analytics degree programs take in Rhode Island?
Standard completion times for data analytics degree programs in Rhode Island are: Associate's (2 years, 60 credits), Bachelor's (4 years, 120 credits), and Master's (1-2 years, 30-36 credits). However, actual timelines vary based on course load, transfer credits, and program format. Accelerated programs can compress a bachelor's to 3 years or a master's to 12 months. Part-time students typically need 5-6 years for a bachelor's degree. Rhode Island community colleges offer a cost-effective "2+2" path: complete your associate's in 2 years, then transfer to a Rhode Island university for the final 2 years of a bachelor's program.
What financial aid is available for data analytics degree students in Rhode Island?
Rhode Island data analytics degree students can access multiple financial aid sources. Federal aid includes Pell Grants (up to $7,395/year for qualifying students) and federal student loans. Rhode Island state grants provide additional support for residents attending in-state schools. Institutional scholarships from universities can significantly reduce costs, many schools offer merit-based awards for STEM students. Work-study programs and teaching/research assistantships (especially for graduate students) provide income while building experience. Complete the FAFSA by Rhode Island's priority deadline to maximize aid eligibility. Some employers also offer tuition reimbursement for employees pursuing CS degrees.

Data Sources

Institutional characteristics, completions, graduation rates

Rhode Island salary and employment data

Official University Websites

Program details and admissions information

Last Updated: June 26, 2026. Rankings based on IPEDS 2024 data. Salary data from BLS OEWS May 2024.

Was this ranking helpful for your college search?
Taylor Rupe

Taylor Rupe

Co-founder & Editor (B.S. Computer Science, Oregon State • B.A. Psychology, University of Washington)

Taylor combines technical expertise in computer science with a deep understanding of human behavior and learning. His dual background drives Hakia's mission: leveraging technology to build authoritative educational resources that help people make better decisions about their academic and career paths.

The research behind the rankings

In-depth Data Analytics program profiles in Rhode Island

Hand-researched detail on the top-ranked programs: degree pathways, research labs, industry partners, career outcomes, and admissions. Tap any school to expand.

Best Bachelor's Data Analytics programs

#1Bryant UniversitySmithfield, RI

Why it stands out. Capstone project (ISA 490) requiring end-to-end problem management from definition to solution delivery. Real-world data from industry partners in business, nonprofit, healthcare, and sports sectors integrated throughout curriculum

Hakia insight. Bryant's ISA 490 capstone draws real data from Fidelity, CVS, and KPMG across banking, healthcare, and consulting—meaning undergraduates graduate with a portfolio project built on industry datasets, not classroom exercises, which dramatically shortens time-to-productivity at hiring companies.

Bryant University's Bachelor of Science in Data Science is an interdisciplinary program balancing theory and practice in extracting insights from vast data volumes. The 120-credit curriculum combines programming (ISA 221, ISA 330), machine learning (ISA 340), data visualization (ISA 310), cloud computing (ISA 343), and big data analytics (ISA 460). Students work on real-world problems from business, nonprofit, healthcare, and sports organizations throughout their studies. A capstone project (ISA 490) requires students to manage data science problems from definition through solution delivery. The program emphasizes storytelling and communication skills alongside technical expertise. A required Business Administration minor (18 credits) provides organizational context. Students gain hands-on experience with industry-standard tools including Python, Tableau, and cloud platforms. The program prepares graduates to translate data analysis into actionable recommendations for decision-makers across multiple industries.

Programs offered

  • Bachelor of Science in Data Science · 4 years · on-campus

Research labs & institutes

  • Data Science Lab — Real-world data science projects with industry datasets, machine learning applications, and collaborative analytics
  • Center for Health and Behavioral Sciences — Mobile health research, mental health screening, and health informatics

Industry partners

Fidelity InvestmentsCVS HealthKPMG

Notable faculty

  • Dr. Suhong Li (Big Data Analytics, Data Visualization, Text Mining, Green Supply Chain Management)
  • Dr. ML Tlachac (Mental health screening, mobile health, machine learning, natural language processing)

Location advantage: Proximity to Boston financial services hub Access to Rhode Island and Connecticut insurance industry Regional consulting and healthcare analytics employers

#2Brown UniversityProvidence, RI

Why it stands out. Brown's data science pathway is distinctive for its integration with world-class applied mathematics and emphasis on original research, making it the stronger choice for students aiming toward AI/ML research careers or technical leadership roles that require deep algorithmic understanding.

Hakia insight. Brown's data science track emerges from applied mathematics and computer vision labs rather than a standalone analytics department, which means undergraduates gain algorithmic depth and research mentorship typically reserved for graduate programs—critical for anyone targeting AI/ML or quant finance roles.

At the bachelor's level, brown's data science education emerges from its deep computer science tradition and exceptional applied mathematics program, creating a uniquely research-forward pathway for students interested in both computational fundamentals and statistical innovation. The university doesn't isolate data science into a single degree; instead, students pursue the PhD in Computer Science with a data science specialization, or combine a BS/MS track through the School of Engineering, drawing coursework from computer science, applied mathematics, biostatistics, and economics. What distinguishes the Brown experience is the expectation of original research from day one—undergraduates can contribute to faculty projects in machine learning, computational biology, and social network analysis, while graduate students often co-author papers before completing their degrees. The Brown–IBM partnership and collaborations with Microsoft Research bring cutting-edge problems into the classroom, and faculty like Srikumar Ramalingam (computer vision and learning) and others lead groups that publish regularly in top venues. The program excels at producing graduates who land both postdocs in AI/ML research and senior technical roles at tech companies, reflecting its balance of academic depth and industry relevance. The interdisciplinary culture—where students easily cross between CS, math, and domain sciences—prepares students to frame novel problems, not just solve existing ones.

Programs offered

  • Bachelor of Science in Data Analytics · 4 years · on-campus
  • Bachelor of Arts in Data Analytics · 4 years · online

Research labs & institutes

  • Brown University Computer Vision Research Lab — Computer vision, machine learning, and image understanding
  • Computational Biology and Molecular Biophysics Lab — Statistical methods for genomics and biological data

Industry partners

IBMMicrosoft Research

Career outcomes

Top employers: Amazon, Google, Microsoft, Meta, Goldman Sachs, JPMorgan Chase, BlackRock, McKinsey & Company, IBM, Tesla, Capital One

Notable faculty

  • Srikumar Ramalingam (Computer vision, machine learning, optimization)
  • Chad Higdon-Topaz (Applied mathematics, machine learning for social good)

Admissions

Deadline February 1st.

Location advantage: Providence-Boston technology corridor Proximity to quantitative finance hub in New York Regional biotech and healthcare research ecosystem

Best Master's Data Analytics programs

#1Bryant UniversitySmithfield, RI

Why it stands out. Capstone course (MSDS 640) or internship option (ISA 692) applying learning to real business problems. Five concentration tracks allowing customization: fintech, supply chain, international business, healthcare, or general management

Hakia insight. Bryant's five concentration tracks (fintech, supply chain, healthcare, international business) let students tailor a 34-credit master's to their target industry while maintaining the capstone-or-internship option; the result is a degree customized to regional employers (Fidelity, CVS) without sacrificing rigor through electives.

Bryant's Master of Science in Data Science and AI (MSDS & AI) is a 34-credit, full-time, in-person program designed for working professionals seeking to advance into data science, AI engineering, and analytics roles. The program offers a capstone course (MSDS 640) or internship option (ISA 692) allowing students to apply learning to real business problems. Students choose three electives from five concentration areas: fintech, global supply chain management, international business, healthcare, or general management—enabling customization to career goals. The curriculum emphasizes both technical expertise (Python, R, SQL, Spark, Azure, AWS, Databricks) and business acumen. Evening courses are available (6:30pm-9:10pm start times noted). Some students may require summer bridge courses depending on background. Graduates develop proficiency in machine learning, deep learning, large language models, and ethical data science practices, positioning them for roles as data scientists, data engineers, AI engineers, and AI analysts with enhanced earning potential and leadership capabilities in data-driven organizations.

Programs offered

  • Master of Science in Data Science and AI · 1-2 years · on-campus

Research labs & institutes

  • Data Science Lab — Real-world data science projects with industry datasets, machine learning applications, and collaborative analytics
  • Center for Health and Behavioral Sciences — Mobile health research, mental health screening, and health informatics

Industry partners

Fidelity InvestmentsCVS HealthKPMG

Notable faculty

  • Dr. Suhong Li (Big Data Analytics, Data Visualization, Text Mining, Green Supply Chain Management)
  • Dr. ML Tlachac (Mental health screening, mobile health, machine learning, natural language processing)

Location advantage: Proximity to Boston financial services hub Access to Rhode Island and Connecticut insurance industry Regional consulting and healthcare analytics employers

#2Salve Regina UniversityNewport, RI

Why it stands out. Hospitality and business-focused analytics curriculum uniquely positioned to prepare students for data roles in tourism, resort management, and service industries.

Hakia insight. Salve Regina's hospitality and tourism analytics focus is genuinely distinctive—while most programs target finance or healthcare, this curriculum directly serves a $2 trillion global industry desperately short of data talent, positioning graduates for rare roles in resort analytics and tourism economics.

At the master's level, salve Regina integrates data analytics into its business and technology curricula with a particular strength in analytics for hospitality, business, and organizational management. The program benefits from the university's location in Newport, Rhode Island, a region with significant hospitality and tourism industry presence as well as financial services—giving students immediate industry context for learning analytics concepts. Courses emphasize data visualization, business intelligence tools, and predictive modeling applied to real hospitality and business scenarios. The Catholic, liberal arts ethos means analytics training is paired with coursework in ethics and decision-making, preparing students to think carefully about how data influences organizational choices. Faculty often come from industry backgrounds and maintain connections with regional hospitality groups, resorts, and business services firms. Graduates typically pursue roles in business analytics, revenue management, and data-driven operations—particularly in hospitality, tourism, and regional financial services.

Programs offered

  • Master of Science in Data Analytics · 1-2 years · on-campus
  • Master of Arts in Data Analytics · 1-2 years · online

Notable faculty

  • Dr. Ernest Rothman (Mathematical Sciences)
  • Dr. Edward Dougherty (Mathematical Sciences)
  • Dr. Elizabeth Fitzgibbon (Mathematical Sciences)
  • Abigail Kojoian (Mathematical Sciences)
  • Donna McCadden (Mathematical Sciences)

Location advantage: Newport hospitality and tourism industry connections Access to regional financial services and business operations data

#3University of Rhode IslandKingston, RI

Why it stands out. Coursework-based track with capstone project (no thesis option mentioned). No GRE/GMAT required for admission

Hakia insight. URI's health analytics focus paired with faculty expertise in Bayesian methods and causal inference creates an unusual advantage for healthcare professionals—you're learning from statisticians who specialize in the exact inferential problems (treatment effects, longitudinal patient data) that dominate modern health outcomes research.

The M.S. in Health Outcomes and Data Analytics is a 30-credit online program designed for working professionals seeking to advance careers at the intersection of healthcare and data science. The program combines the Data Science Graduate Certificate and Medication Outcomes Graduate Certificate, offering a coursework-based track with a capstone project requirement. No GRE/GMAT required. Classes are fully flexible and online, accommodating part-time completion for professionals. The curriculum integrates epidemiology, computer science, statistics, and pharmacy to develop skills in data collection, analysis, and interpretation for healthcare decision-making. Graduates pursue roles as medical/health services managers, data scientists, and operations research analysts—occupations ranked among the top 30 fastest growing by the U.S. Bureau of Labor Statistics (2020–2030). URI's College of Pharmacy is ranked among the top in the Northeast, supporting employer partnerships and career advancement in healthcare management and analytics.

Programs offered

  • Master of Science in Health Outcomes and Data Analytics · 1-2 years · on-campus

Research labs & institutes

  • Center for Nonlinear Dynamics and Control — Data-driven modeling and control systems
  • Environmental Data Center — Geographic Information System (GIS) and geospatial data analysis
  • Inner Space Center — Live ocean exploration via telepresence technology
  • Digital Innovation Laboratory — Academically focused makerspace for creative innovation
  • Digital Forensics and Cyber Security Center — Digital forensics and cyber security research and development
  • Engineering for Democracy Institute — Data-enabled recommendations for election science

Industry partners

GoogleNetflixAmazonUberEdmundsUPSAAACVSCitizens BankIRSAirbnbInstagramFacebook

Notable faculty

  • Dr. Gavino Puggioni (Bayesian Methods; Time Series; Spatial Data Modeling; Biostatistics)
  • Dr. Natallia Katenka (Statistical Analysis of Network and Longitudinal Data, Causal Influence)
  • Dr. Sarah Brown (Machine Learning; Sociotechnical AI Evaluation)
  • Dr. Jing Wu (Bayesian Statistical Methods, Big Data, Missing Data Analysis)
  • Dr. Zhu Zhang (Artificial Intelligence and Business Analytics)

Admissions

GPA 3.0 minimum. Deadline August 4, 2026.

Location advantage: Proximity to Rhode Island tech corridor Access to regional manufacturing and healthcare data challenges

#4Johnson & Wales University-ProvidenceProvidence, RI

Why it stands out. Applied analytics program built inside a hospitality-focused university, uniquely preparing students for revenue, operations, and customer analytics roles in service industries.

Hakia insight. While most analytics programs chase tech industry placements, Johnson & Wales deliberately owns the revenue and operations analytics market in hospitality—meaning internships and job placements aren't aspirational add-ons but embedded relationships with companies that actively hire their graduates.

At the master's level, johnson & Wales brings a distinctive applied, career-focused lens to data analytics—students move quickly from foundational statistics into hands-on tool use and real-world problem solving. The program is woven through the College of Business, emphasizing analytics applications in hospitality operations, food service management, business administration, and applied finance. Students work with industry-standard platforms and datasets from actual hospitality and foodservice operations, learning analytics as a practical discipline for improving revenue, operations, and customer experience. The university's deep ties to the hospitality industry (through its culinary and hospitality management reputation) create unique internship pathways into revenue optimization, supply chain analytics, and operational intelligence roles at hotels, restaurant groups, and hospitality corporations. Faculty often hold current or recent industry roles, keeping curriculum aligned with what practitioners actually need. The program's strength lies not in cutting-edge research but in rapid skill-building and job-ready preparation; most graduates move directly into analyst roles at hospitality chains, financial services, or business operations teams.

Programs offered

  • Master of Science in Data Analytics · 1-2 years · on-campus
  • Master of Arts in Data Analytics · 1-2 years · online

Industry partners

Major U.S. hospitality chains

Career outcomes

Top employers: Hospitality corporations, Food service companies

Location advantage: Strong hospitality industry connections and internship pipelines Access to operational data from hotel, restaurant, and foodservice partners