From large public universities to shorter career-building credentials, Florida gives students several ways to build analytics and data science skills.
Ongoing state interest in data systems, workforce outcomes, and AI-related growth adds useful context for students weighing where these fields are headed.
This guide is all about finding the right analytics and data science degrees, certificates, and training options in Florida.
How We Keep This Page Current
This page is updated using federal and state-facing sources that are strong for different parts of the decision process: O*NET, BLS OOH, BLS OEWS, CareerOneStop, College Navigator and College Scorecard, and NCES/IPEDS CIP resources.
O*NET, BLS, and NCES sources are used for labor and education context, while school/program claims are verified on official institutional pages and federal tools. We review this page periodically and remove or revise time-sensitive claims when sources change.
Quick Facts About Analytics And Data Science Education In Florida
- Florida wage snapshot (Data Scientists): BLS OEWS lists about 8,400 data scientist jobs in Florida with an estimated annual mean wage of $106,490 (May 2023 data).
- Related analytics occupation (Operations Research Analysts): BLS OEWS lists about 7,750 operations research analyst jobs in Florida with an estimated annual mean wage of $86,260 (May 2023).
- National outlook context: BLS OOH projects 34% growth for data scientists from 2024 to 2034, with data scientists typically needing at least a bachelor’s degree.
- What students should expect to learn: O*NET describes data scientists as using programming languages, visualization software, data mining, modeling, NLP, and machine learning to turn raw data into usable information.
- Florida degree-level options exist across pathways: FloridaShines describes associate, bachelor’s, master’s, and graduate certificate pathways and provides statewide program-discovery tools for Florida students.
- Program names vary: NCES CIP (2020) includes separate categories for Data Science (30.70) and Data Analytics (30.71), including Business Analytics and Data Visualization subcategories.
Analytics And Data Science Workforce And Career Context In Florida
BLS OOH is useful for the national occupation picture: it describes what data scientists do, notes the typical entry education (usually at least a bachelor’s degree), and reports strong projected growth nationally (2024–2034). That helps students understand why program depth in statistics, programming, and applied analysis matters.
For Florida-specific pay and employment estimates, BLS OEWS is the better source. In the May 2023 Florida OEWS table, Data Scientists (15-2051) show 8,400 employed and an annual mean wage of $106,490, while Operations Research Analysts (15-2031) show 7,750 employed and an annual mean wage of $86,260. These are not the same occupation, but both are commonly relevant when comparing analytics and data science pathways.
CareerOneStop can help as a local planning tool because it surfaces state career snapshots and trend signals. In search-indexed CareerOneStop results for Florida, data scientists appear as a fast-growing role in the state, which is useful for education-pathway framing alongside BLS wage data.
O*NET is best used to connect career context back to the curriculum. O*NET’s data scientist profile emphasizes tasks like analyzing data, building/testing models, writing analytical code, and preparing reports, plus technology categories such as SPSS/SAS/TensorFlow, Docker/GitHub/Kubernetes, Excel, and APIs/JSON. That is a practical checklist for evaluating whether a Florida program is teaching current tools and workflows.
OOH, OEWS, O*NET, and CareerOneStop measure different things: OOH = national occupation overview/outlook, OEWS = state wages and employment estimates, O*NET = tasks/skills/tools, and CareerOneStop = state/metro career-facing views. They should be used together for context, not treated as interchangeable metrics.
Analytics And Data Science Degree Pathways In Florida
This section is designed to help readers compare analytics and data science degree pathways in Florida by level, format, and expected outcomes. It is education-first and does not rank schools.
Associate degrees
An associate pathway can be a good starting point if you want lower upfront cost, smaller class sizes, or a transfer-first route into a bachelor’s program. For analytics and data science preparation, look for foundations in statistics, data literacy, SQL/databases, intro programming, and data visualization, plus clear advising on transfer requirements.
In Florida, transfer planning is especially important. FloridaShines describes statewide degree types and transfer tools, and some Florida colleges publish data science transfer pathways tied to university prerequisites. For example, Seminole State’s A.A. Data Sciences Pathway is explicitly described as a transfer-oriented A.A. and points students to FloridaShines for transfer evaluation.
Before enrolling, verify:
- whether the pathway is a transfer A.A. or workforce-focused A.S.
- whether the sample course plan includes math/programming prerequisites needed for your target bachelor’s program
- whether the school publishes transfer advising details on an official page
- whether courses are available in the schedule format you need (day/evening/online/hybrid)
Bachelor’s degrees
For an analytics bachelor’s degree in Florida, compare programs on curriculum depth and sequencing, not title alone. Strong bachelor’s programs usually make the math/statistics sequence clear, include databases/programming, and require applied work (projects, capstone, or presentations).
Verified examples in Florida show how program structures can differ:
- The University of Florida (Data Science major) – publishes a curriculum with math, statistics, programming, databases, and project-based assessment requirements.
- Florida Polytechnic University (B.S. Data Science) – highlights core coursework in data visualization, data mining, machine learning, statistics, and database systems, plus a capstone tied to a real external challenge.
Use College Navigator and official program pages together: College Navigator helps compare institutions and degree availability at a high level, while official program pages show the actual course sequence, prerequisites, and modality details. College Scorecard is useful for outcomes context, but readers should confirm whether they are comparing institution-level or field-of-study data.
Master’s degrees
A master’s in data science in Florida can vary from highly technical (math/modeling-heavy) to more applied/industry-facing. When comparing programs, check:
- whether the curriculum is technical vs applied
- prerequisites (calculus, linear algebra, programming, statistics)
- delivery format (online, hybrid, or in-person)
- pacing (full-time vs part-time)
- capstone, practicum, or employer-facing project expectations
For example, the University of West Florida M.S. in Data Science publishes key planning details (30 credits, estimated 24 months) and states the program can be completed face-to-face or fully online, with multiple tracks. That kind of detail is exactly what to look for when comparing master’s options.
For outcomes context, College Scorecard can support comparison of cost, debt, and earnings measures, but metrics may be aggregated at institution or field-of-study levels depending on the data view. Use the scorecard plus official program pages before making a decision.
Certifications And Workforce Programs
Short-term options can be useful if you need a faster entry point, want to upskill while working, or plan to stack credentials into a later degree. The most useful options are usually
- credit-bearing certificates (more likely to transfer)
- continuing education/workforce training with a clear tool list
- stackable pathways that feed into associate or bachelor’s programs
Use O*NET as a curriculum screen: a strong short-term analytics and data science option should clearly cover core skills tied to the occupation (data analysis, modeling, reporting, and common tools like spreadsheets, programming, and analytics software). If the curriculum is vague, ask for a course list and software/tool coverage before enrolling.
Program Naming and CIP Alignment (IPEDS/CIP guidance)
Program titles vary widely in Florida and nationwide: you may see data science, data analytics, business analytics, applied analytics, or related interdisciplinary names. NCES CIP helps standardize these differences.
IPEDS/CIP (2020) separates Data Science (30.70) from Data Analytics (30.71) and includes specific subfields like Business Analytics (30.7102) and Data Visualization (30.7103).
The CIP definition for 30.7101 Data Analytics, General, also shows the expected blend of databases, programming, statistics, machine learning, optimization, and visual analytics. Compare curriculum and outcomes—not just the program title.
Related Resources
How To Compare Analytics And Data Science Programs In Florida
Program comparison checklist
- Does the curriculum include statistics, SQL/databases, programming, and data visualization?
- Is there a clear math sequence (especially for bachelor’s/master’s programs)?
- Does the program require a capstone, practicum, internship, or project portfolio?
- Are delivery options clearly defined as fully online, hybrid, or on-campus?
- If you may transfer later, does the school publish transfer pathway guidance?
- Are tools/languages named on the official program page (for example, Python, R, SQL, Tableau)?
- Can you verify the school and degree type through College Navigator?
- Can you use College Scorecard for cost/debt/earnings context (and confirm whether the data are institution-level or field-of-study)?
- Are total tuition/fees and scheduling options clearly published?
- Are prerequisites and admissions expectations spelled out (math, coding, GPA, prior degree)?
Pathway Comparison Table
| Pathway | Typical timeline | Best for | What to verify | Key source(s) to check |
| Associate degree | ~2 years | Transfer-first students, lower-cost entry | A.A. vs A.S., transfer prerequisites, advising support, modality | FloridaShines, official college catalog, College Navigator |
| Bachelor’s degree | ~4 years | Students wanting a broad foundation and applied preparation | Course sequence, capstone/projects, tools, concentrations, format | Official program page, College Navigator, College Scorecard |
| Master’s degree | ~1–2 years (varies) | Career changers or upskilling professionals | Prerequisites, pacing, track options, capstone/practicum, online/hybrid details | Official program page, College Scorecard, College Navigator |
| Certificate/workforce training | Weeks to ~1 year | Fast upskilling or stackable learning | Credit-bearing status, tool coverage, portfolio outcomes, transferability | Official provider page, O*NET (skills/tasks fit), College Scorecard (if degree-granting school) |
Online vs. Campus Analytics And Data Science Programs In Florida
Online analytics and data science programs in Florida may be a better fit if you need schedule flexibility, part-time pacing, or want to stay employed while studying. Campus or hybrid programs may be a better fit if you want easier access to faculty, labs, research groups, or in-person project teams.
Always verify how the school defines “online.” Some programs are fully online, while others are hybrid or only offer some courses online. Use College Navigator for initial school filtering, then confirm the exact format on the official program page (including synchronous vs. asynchronous courses, residency expectations, and extra fees).
School And Program Research Tips For Florida
Use College Navigator first to confirm the school exists, compare institution characteristics, and narrow your list by degree type, location, and basic features. NCES’s “Find Your College” page also points students to College Navigator for majors/costs/location comparisons.
Use College Scorecard next for outcomes context (cost, debt, and earnings by field of study, where available). NCES/IPEDS “Find Your College” explicitly links to College Scorecard for comparing colleges by costs, debt, and earnings by field of study.
Be careful with interpretation: some scorecard measures are institution-level, and some field-of-study measures use aggregated structures (including CIP-based groupings and OPEID rollups). That means Scorecard is great for context, but you should still verify curriculum and format on the official program page.
Unique State Analytics And Data Science Initiatives
Florida Digital Service/State Chief Data Officer Framework
- What it is: Florida statute (s. 282) requires the state chief information officer, in consultation with the secretary of management services, to designate a state chief data officer and places responsibilities within the Department of Management Services acting through the Florida Digital Service.
- Why it matters for students: This gives Florida a formal state-level data governance structure, which is relevant when evaluating public-sector data and analytics career pathways tied to government systems and data management.
University Of Florida Malachowsky Hall For Data Science And Information Technology
- What it is: UF Research describes Malachowsky Hall as a collaborative environment for faculty and students across disciplines to advance AI, data science, and information technology.
- Why it matters for students: It is a clear example of a cross-disciplinary data science research/training environment rather than a generic degree listing.
Florida State University Spatial Data Science Center (SDSC)
- What it is: FSU’s SDSC describes itself as a focal point for spatial data science at FSU, with work spanning areas like health, transportation, voting, crime, housing, retailing, and the environment, using methods including GeoAI and machine learning.
- Why it matters for students: It shows a documented research-center pathway where students may encounter applied, interdisciplinary analytics work.
Florida’s 2+2 Transfer Ecosystem (FloridaShines guidance)
- What it is: FloridaShines provides statewide degree-planning and transfer resources and explains Florida degree types and transfer-oriented planning tools used by students across the state.
- Why it matters for students: It supports practical transfer planning for students starting with community college data analytics programs in Florida and moving into bachelor’s pathways.
Questions To Ask Before Enrolling In An Analytics And Data Science Program In Florida
- Is this program’s curriculum aligned with what I want (analytics, data science, or business analytics), not just the title?
- Which tools and skills are taught (SQL, Python/R, visualization, statistics, and modeling)?
- Does the program include a capstone, practicum, internship, or portfolio project?
- Is the format fully online, hybrid, or on-campus—and are classes live or asynchronous?
- Are part-time options available?
- Can credits transfer or stack into another credential?
- What are the admissions prerequisites (math, coding, GPA, prior degree)?
- Where can I verify school-level information and outcomes context (College Navigator, College Scorecard, official program page)?
Frequently Asked Questions About Analytics And Data Science Degrees In Florida
In Florida’s OEWS data, the BLS reports about 8,400 Data Scientists and 7,750 Operations Research Analysts. Use these as occupation-specific signals rather than a single combined total.
There is no single official “analytics and data science” salary across all roles. For a clean benchmark, BLS OEWS reports Florida Data Scientists at an annual mean wage of $106,490. Related roles, such as operations research analysts, have different averages.
There is no universal “best” degree. The right choice depends on your goal: an associate for transfer or entry-level preparation, a bachelor’s for a broad foundation and applied training, a master’s for specialization or career change, or a certificate for targeted upskilling. Use curriculum depth, project work, modality, and prerequisites to compare programs—not rankings.
Yes, some Florida schools offer online options, but formats vary. For example, the University of West Florida’s M.S. in Data Science states that the program can be completed face-to-face or fully online. Always verify whether “online” means fully online, hybrid, or only partially online on the official program page.
Florida has short-form training and certificate options, but quality and transferability vary. Prioritize programs that publish a clear curriculum, tools taught, and whether the credential is credit-bearing or stackable into a degree. FloridaShines also describes graduate certificates and other degree/certificate types for planning.
Strong programs usually teach a mix of statistics, programming, databases, visualization, and applied analysis/modeling. O*NET’s data scientist profile specifically emphasizes data-oriented programming, visualization, data mining/modeling, machine learning, and reporting.
Demand indicators are positive, but use multiple sources correctly. BLS OOH shows strong national growth for data scientists, while Florida OEWS provides state wage/employment estimates. CareerOneStop also surfaces Florida trend signals, but the numbers may differ by scope and update timing.
Yes. In Florida, an associate pathway can be a practical way to begin, especially if you plan to transfer. FloridaShines explains the state’s degree structure, and some colleges (such as Seminole State’s A.A. Data Sciences Pathway) explicitly frame the pathway as transfer-oriented.
Associate: about 2 years
Bachelor’s: about 4 years
Master’s: often 1–2 years (program-dependent)
Certificate: weeks to about a year (varies)
1. College Navigator to build and filter your school list
2. College Scorecard for cost/debt/earnings context
3. Official program pages for curriculum, format, and prerequisites
This is the safest way to compare schools because federal tools provide broad comparison data, while official pages provide the actual program details.
Industry demand varies by region and employer, but BLS OOH notes data scientists work in areas such as computer systems design, research, consulting, and insurance nationally, and UF’s data science major description also highlights broad application areas (business, medicine, agriculture, environmental sciences, and government). Use this as directional context while focusing your program choice on the skills/tools you want to build.
Yes, but entry-level roles may be titled differently (for example, analyst, BI/reporting, junior data analyst, or operations research roles). BLS OOH says data scientists typically need at least a bachelor’s degree, while O*NET’s task and tool profile is a good checklist for what entry-level-ready programs should teach.
Program titles often overlap. In practice, “data analytics” programs may emphasize reporting, visualization, and business decision support, while “data science” programs often add more modeling, machine learning, and math depth. NCES CIP treats Data Science (30.70) and Data Analytics (30.71) as related but distinct categories, which is why comparing actual course lists matters.
Sources
- U.S. Bureau of Labor Statistics | Data Scientists: Occupational Outlook Handbook | Accessed February 20, 2026
- U.S. Bureau of Labor Statistics (OEWS) | Florida OEWS State Occupational Employment and Wage Estimates | Accessed February 20, 2026
- O*NET OnLine | 15-2051.00 – Data Scientists | Accessed February 20, 2026
- CareerOneStop (U.S. Department of Labor) | CareerOneStop Florida data scientist trend | Accessed February 20, 2026
- NCES / IPEDS | Find Your College (IPEDS) | Accessed February 20, 2026
- College Scorecard (U.S. Department of Education) | Institution-Level Data and Data by Field of Study | Accessed February 20, 2026
- NCES / IPEDS CIP | CIP Codes | Accessed February 20, 2026
- FloridaShines | Discover Programs | Accessed February 20, 2026
- Florida Legislature | Florida Digital Service | Accessed February 20, 2026
- University of Florida | Malachowsky Hall | UF Research | Accessed February 20, 2026
- Florida State University | Spatial Data Science Center | Accessed February 20, 2026