2026 Best Online Data Analytics Degrees
See what verified students think of the best online data analytics degree programs.
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An online data analytics bachelor's degree builds skills in data interpretation, statistics, visualization, and decision-making. Verified student feedback offers a practical way to compare how each program supports learners.
Key Takeaways:
- Syracuse leads by a wide margin. Its 4.59 rating and 100% recommendation rate are the strongest on the list, but its $65,528 tuition is also by far the highest.
- Student sentiment drops steadily after the top two. Purdue earns a 3.74 rating and 86% recommendation rate, while every school has a rating below 3.1.
- Most data analytics programs cluster around $9,000-$14,000 per year.
Below our ranking list, we spoke with an expert in the field who provided guidance to students trying to choose the best degree for their needs.
How We Rank "Best" Schools
The OnlineU research team verifies that only institutionally accredited schools offering at least one fully online bachelor's in data analytics degree make the cut. On top of that, schools must also have at least five verified student reviews and an aggregate rating of 2.5+ on a five-point scale. While some of our rankings include partner schools, every school is evaluated using the exact same criteria.
We prioritize the most relevant student feedback by starting with reviews tied to the exact program and degree level. If too few bachelor's in data analytics qualify, we gradually expand the review pool to include related programs or other degree levels, while preserving the most program-specific results at the top of the list. This process continues until all eligible review data has been considered.
We also manually research all tuition rates and include median earnings for data analytics majors five years after graduation when that data is available. By presenting the most complete data available, we aim to give you an honest, well-rounded picture of each program.
2026 Best Online Data Analytics Degrees
| Rank | School | Review Rating | Recommendation | 100% | 86% | $11,130 | N/A |
|---|---|---|---|---|---|---|---|
| Bellevue University | 3.38 / 5 | 71% | $13,770 | N/A | |||
| Colorado State University Global | 3.06 / 5 | 67% | $11,250 | N/A | |||
| Southern New Hampshire University Online | 3.03 / 5 | 57% | $10,260 | N/A | |||
| Western Governors University | 2.99 / 5 | 54% | 55% | $9,900 | N/A | ||
| National University | 2.88 / 5 | 47% | $11,100 | N/A | |||
| University of Arkansas Grantham | 2.74 / 5 | 57% | $9,150 | N/A |
Online Degree:
What Sets This Program Apart:
- Ranked #1 in Best by Student Reviews, SU stands out immediately for its 4.59 out of 5 overall review rating, a strong signal that students report a notably positive academic experience. That student satisfaction is reinforced by a 100% recommendation rate.
- The curriculum is positioned around leading AI implementation across real business processes, distinguishing it from programs centered primarily on programming, data analysis, or individual AI tools.
- Syracuse describes this online program as one of the first university-backed AI in Business degrees from a nationally ranked institution.
Student Review Summary: Reviews portray Syracuse University as a generally strong, opportunity-rich experience defined by supportive professors, abundant clubs and events, and a campus culture where many people can find a social niche beyond any single scene. Students repeatedly praise hands-on learning, internships, research access, alumni networking, study abroad, and online flexibility. Many say the experience fostered personal growth, career readiness, and graduate or job placement. The most persistent drawbacks are cost, limited financial aid, and burdensome loans. Some also cite inconsistent advising, bureaucratic course registration, aging facilities, safety concerns near campus, harsh winters, Greek-life exclusivity, and uneven faculty quality, including isolated reports of deeply negative treatment.
This is an AI-generated overview of real student feedback submitted to OnlineU, highlighting common themes and insights. The summary was reviewed for accuracy.- Online Enrollment: 394 enrolled
- In-State Tuition: N/A
- Out-of-State Tuition: $65,528
- Program Length: N/A
- Median Earnings: N/A
- Avg. Graduation Rate: 84%
- Retention Rate: 90%
- Institution Type: Non-Profit
Online Degree:
What Sets This Program Apart:
- Purdue Global offers 10 concentrations within the BS in Analytics, spanning applied AI systems development, artificial intelligence, cloud computing, game development, information security, network administration, three programming-language-specific software development tracks, and supply chain management and logistics.
- The program reaches beyond standard analytics coursework with training in Apache Hadoop, Hive, Pig, Spark, MapReduce, MongoDB, NoSQL, OLAP, SAP Analytics, machine learning, and predictive analytics.
1 Student Review for Bachelor's in Data Analytics Degrees
It was a great experience. I am an older student but the present and even past teachers would provide assistance when asked in a timely manner. The teachers were very knowledgeable in the course they were teaching. They also had a lot of experience prior... Read More
Student Review Summary: Reviews of Purdue Global are sharply divided, but the dominant theme is frustration with administrative operations, especially financial aid. Many low-rated reviews describe conflicting answers from staff, delayed disbursements, transcript errors, surprise balances, loan confusion, and feeling pushed through admissions before funding details were clear. Several also cite rigid policies, weak advisor support, inconsistent teaching quality, and difficulty with clinical placements or career outcomes. Positive reviews focus on flexible online scheduling for working adults, supportive professors, responsive advisors, challenging coursework, and useful credit for prior learning or experience. Many satisfied reviewers say success depended heavily on self-discipline, persistence, and proactive communication.
This is an AI-generated overview of real student feedback submitted to OnlineU, highlighting common themes and insights. The summary was reviewed for accuracy.- Online Enrollment: 31,065 enrolled
- In-State Tuition: $11,130
- Out-of-State Tuition: $11,130
- Program Length: 4 years
- Median Earnings: N/A
- Avg. Graduation Rate: 50%
- Retention Rate: 57%
- Institution Type: Non-Profit
Online Degree:
What Sets This Program Apart:
- Bellevue’s BS in Data Science is built around a portfolio model, with students creating project-based work throughout the program that can be presented to prospective employers.
- The curriculum gives unusual emphasis to data storytelling, including presenting findings to executive leadership and other stakeholder groups rather than focusing only on technical analysis.
- Students gain exposure to a broad visualization and programming stack that includes Python, SQL, R, Tableau, and Power BI.
Student Review Summary: Reviews of Bellevue University are polarized, though the overall tilt is positive because many high ratings praise flexible online scheduling, rigorous coursework, responsive professors, and assignments tied closely to workplace application. Several reviewers say the experience improved writing, critical thinking, confidence, and career mobility, especially for working adults, military-affiliated learners, and those balancing family demands. Negative reviews are unusually specific and severe: recurring complaints cite advisor turnover, poor communication, financial aid errors, billing and transcript problems, confusing transfer-credit evaluations, and required signature courses viewed as irrelevant or burdensome. Some also question instructional consistency, employer perception, and administrative integrity.
This is an AI-generated overview of real student feedback submitted to OnlineU, highlighting common themes and insights. The summary was reviewed for accuracy.- Online Enrollment: 10,519 enrolled
- In-State Tuition: $13,770
- Out-of-State Tuition: $13,770
- Program Length: 4 years
- Median Earnings: N/A
- Avg. Graduation Rate: 33%
- Retention Rate: 58%
- Institution Type: Non-Profit
Online Degree:
What Sets This Program Apart:
- This online program aligns coursework with certifications from CompTIA, EC-Council, AWS, and Microsoft.
- The broader university curriculum gives IT students access to adjacent credentials including undergraduate certificates in Python and Data Analytics, Data Management and Analysis, Azure AI Automation, Cyber Security, and Web Application Development.
Student Review Summary: Reviews portray a sharply divided experience centered on fit for independent online learning. Supportive reviewers praise the organized portal, flexible asynchronous format, predictable weekly deadlines, generous transfer-credit acceptance, affordable tuition, and advising that helps working adults balance jobs and family. Many also say the heavy reading, research, and paper-writing strengthened critical thinking, writing skills, and even led to promotions or raises. Critical reviewers describe a self-teaching model with minimal live instruction, repetitive discussion posts, vague assignments, inconsistent grading, outdated or error-filled materials, and copied feedback. Administrative complaints are substantial, especially around financial aid, billing, transcripts, technical issues, and uneven treatment of military and veteran benefits.
This is an AI-generated overview of real student feedback submitted to OnlineU, highlighting common themes and insights. The summary was reviewed for accuracy.- Online Enrollment: 7,157 enrolled
- In-State Tuition: $11,250
- Out-of-State Tuition: $11,250
- Program Length: 4 years
- Median Earnings: N/A
- Avg. Graduation Rate: N/A
- Retention Rate: 74%
- Institution Type: Non-Profit
Online Degree:
What Sets This Program Apart:
- SNHU’s BS in Data Analytics offers an accelerated bachelor’s-to-master’s pathway.
- The required course Leveraging Data Analysis for Organizational Results focuses on collaborating with stakeholders and translating analysis into actionable organizational decisions.
- Students can add a Project Management for STEM concentration, combining analytics coursework with formal project-management study.
1 Student Review for Bachelor's in Data Analytics Degrees
Like any education - you get what you put in. I am working on my Bachelor's in Data Analytics while working in as a Data Analyst. These class are tough. I have an instructor for stats right now who reviews our Statistical work coded in Jupyter notebook... Read More
Student Review Summary: Reviews skew positive overall, driven by many high ratings praising flexibility, attentive advisors, responsive instructors, reasonable tuition, and a format that helps working adults fit coursework around jobs, parenting, military service, or health limits. Many say success depends heavily on self-motivation, time management, and strong writing, with frequent papers, discussion posts, and research replacing exams. Negative reviews focus on financial aid confusion, billing disputes, transcript holds, withdrawal penalties, and inconsistent transfer-credit evaluations. Some also describe unclear rubrics, uneven instructor quality, limited lectures, repetitive or overly easy coursework, and concern that certain classes feel self-taught rather than actively instructed.
This is an AI-generated overview of real student feedback submitted to OnlineU, highlighting common themes and insights. The summary was reviewed for accuracy.- Online Enrollment: 160,747 enrolled
- In-State Tuition: $10,260
- Out-of-State Tuition: $10,260
- Program Length: 4 years
- Median Earnings: N/A
- Avg. Graduation Rate: 43%
- Retention Rate: 61%
- Institution Type: Non-Profit
Compare the Best Online Data Analytics Bachelor's Degrees
The differences between the recommendation rates in this graph versus the student review ratings above are worth considering in a field where data analytics programs can vary substantially in technical depth, independence, pacing, and emphasis on business versus computing skills. A student who wants intensive AI or programming coursework may judge the same program differently from someone seeking an accessible pathway into business analytics or a degree designed around prior professional experience.
That is why the recommendation rate and review rating are most useful as signals of overall fit rather than stand-alone measures of academic quality. Choosing the best data analytics degree means matching the program's curriculum and learning model to the kind of analyst you want to become.
Stories Behind the Highest-Rated Online Data Analytics Degree Programs: An Editorial Analysis
Move Faster by Proving What You Know
Western Governors University
WGU has a competency-based model that changes how data analytics students may progress through the online degree. Instead of moving through a fixed number of courses each semester, students pay flat-rate tuition for six-month terms and can complete additional coursework without increasing tuition for that term. Assessments can be taken once students feel ready, which gives experienced learners a chance to move more quickly through familiar material. So, for students already working with data, programming, or IT systems, this format can make prior knowledge incredibly beneficial.
Data Science Capstone Connected to Real Organizations
University of Maryland Global Campus
UMGC gives its data science capstone an external focus. Rather than limiting students to a hypothetical classroom project, the program allows the final peer-reviewed report and presentation to originate from student-affiliated organizations, employers, government or private agencies, or other faculty-approved sources. Projects can address problems in healthcare, finance, marketing, science, and government, to name a few. areas This structure gives students a chance to apply the program鈥檚 machine learning, AI, and data ethics/analytics coursework to a problem with a real organizational context.
From Bioinformatics to Cyber Analytics
National University
NU allows online data science students to choose among AI and machine learning, cybersecurity analytics, and bioinformatics. These are not minor variations on the same business analytics curriculum. The AI pathway moves into deep learning and neural networks, the cybersecurity option introduces security analytics and SIEM-oriented tools such as Splunk or the ELK stack, and bioinformatics shifts the degree toward sequence analysis and genomics-related data work. That range can matter for students who already know the type of data they want to work with after graduation.
An Expert's Take: What It Really Takes to Succeed in an Online Data Analytics Program
Technical Product Leader in AI, Data Science, and Analytics
What should students compare when evaluating online data analytics programs?
"First, I recommend defining what you want with the degree. For example, a specialization [or] certification will require a different path from getting your first bachelor's degree.
Then, you need to narrow down the options. Consider your limitations:
Time commitment (hours per week and entire course)
Admission criteria,
If the classes are live or asynchronous,
Time zone in case of live classes,
Price, etc.
Do not be afraid of narrowing down significantly in this phase. The more realistic your constraints are, the higher the probability you conclude the course. If you have to commit more resources than you can, you will find it much harder to keep it up.
Finally, search for people who completed the course 3-5 years ago and ask about its downsides and upsides, and their current occupations.
If your course is so new that no student has already graduated, look for alumni from the same school."
Which technical and analytical skills should a well-designed curriculum develop?
"In general, I recommend courses that give some background in infrastructure, cloud computing, databases, system architecture, logic, statistics, and data science algorithms and evaluation. This will help you get good foundations beyond analytics and will help you improve the quality of your analysis."
What are the main advantages or limitations of studying data analytics online?
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"The main advantage is flexibility. Not having to commute to school and being able to follow your rhythm.
-
The main disadvantage is the lack of networking and creating rapport with other students. You can connect with other students online if you make some effort, though."
How should students compare online data analytics degrees?
"First, it is important to know that many roles and degrees overlap after a few years of graduation. Most positions requiring business analytics degrees would accept data science and vice-versa if you have the professional experience they are looking for.
Compare their curriculum: Business Analytics tends to focus more on business KPIs and Information Systems tends to be more technical in the foundations. However, I advise people never to change the degree after they started just because of small changes in the curriculum. When recruiters and hiring managers are reading your CV, these differences are not relevant. And you may pick up the specific skill missing in your course after you complete your degree."
Any other advice for a prospective student interested in this major?
"Do not be afraid of AI. Embrace AI. You'll be even more productive by using AI to do your job. All companies - startups, non-profits, large corporations - need to analyse data to make decisions. The data analytics tasks that we execute have already changed significantly, and students joining the workforce now have the advantage of using AI in data analytics much more naturally."
EXPERT TIP
"So many new technologies will emerge and die until you retire. That's why learning the fundamentals is important and also that a specific skill missing in the curriculum of your current course is not a big deal. You'll keep learning after you graduate!"
FAQs About Choosing the Best Online Data Analytics Degree
What Should You Expect to Learn in an Online Data Analytics Degree?
An online data analytics degree explores how to collect and manage information in order to solve complex problems.
The curriculum for a data analytics degree program often blends computer science with mathematics and statistics, providing students with the skills to visualize and interpret data sets. Students in this field must be comfortable traversing complex figures. Classes will cover core areas of database design and statistical learning as well as subjects such as cloud computing, calculus, business forecasting, and software design.
Data analysts can study for their bachelor's degree completely online through one of the many remote degrees listed on this page. This type of remote training is especially beneficial in preparing graduates for employment, as most roles can be completed at home without face-to-face interaction with colleagues.
How Long Does an Online Data Analyst Degree Take?
Data analyst degrees at the bachelor's level generally take four years to complete. This is an approximate timeline and may change depending on a number of factors, such as whether a student is studying full time or part time, how many credits are required to graduate, and if students have transferable credits from a data analytics associate degree. In fact, it's often the case that students take longer to graduate than they originally plan for.
Should You Choose an Online Degree in Data Analytics, Data Science, Statistics, or Computer Science?
Several degrees offer foundational training in data analytics and others expand on specialized areas within the field.
For students who are most interested in the mathematics component of data analytics and would prefer to incorporate algorithms and machine learning in their work, then a data science degree is a suitable alternative.
Another option is a statistics degree, which teaches students how to collect and analyze data in order to generate predictive models, giving it similar components to data analytics training.
However, statistics doesn't always include a computer science component, which on its own, in the form of a computer science program, explores how software and hardware are used to evaluate and organize data.
If you are interested in this field, you may also want to check out the best IT bachelor's degrees.
Do You Need a Bachelor's Degree for Data Analytics?
According to the BLS, as cited above, roles related to data analytics 鈥� such as data scientist and operations research analyst 鈥� require a bachelor's degree. Some employers may ask applicants to possess a master's degree, however, bachelor's degrees are generally sufficient to gain entry-level roles.
What Courses Should You Compare in Online Data Analytics Programs?
Beyond general education requirements in mathematics and science, data analytics students are often required to take a series of core courses in business analytics, data management, and machine learning.
Below is a list of courses commonly found in a data analytics bachelor's degree online:
- Business Data Analytics: Data analytics are often utilized in the business world to optimize processes and increase operational efficiency. This course explores subjects, such as data modeling, key performance indicators, and how data is used in business applications. Students may take two separate levels, an introduction and fundamental techniques.
- Data Visualization: After data is extracted and analyzed, it then needs to be represented in visuals. This course looks at both the practical and conceptual understanding of data visualization through principles of design. Data communication techniques are also explored.
- Data and Information Governance: In this course, students learn how to effectively extract and properly handle data in order to better serve an organization, including the development of policies surrounding data assets.
- Database Design: Database design requires a firm understanding of the programming languages, model creation, and application development. This course takes a foundational approach to these skills, even allowing students to engage in practical case studies in order to gain real world database design experience.
- Predictive Analytics: Predictive analytics uses machine learning and other tools to address organizational issues through data. Students design their own experiments, or utilize actual case studies, to analyze patterns and make predictive assessments.
What Career Paths Should You Consider When Choosing a Data Analytics Degree Online?
An online degree in data analytics prepares students for a variety of high-growth careers that center on interpreting and applying data to real-world challenges. Graduates may enter fields like finance, healthcare, or tech, taking on roles that draw from the same foundational skills in statistics, programming, and data visualization.
Career options include high-paying and in-demand paths such as actuary, data scientist, operations research analyst, and market research analyst. While each role varies in day-to-day tasks, they all rely on the ability to extract insights and drive decision-making through data.
What Salary Potential Should You Consider With an Online Data Analytics Bachelor's Degree?
Roles commonly found within the field of data analytics offer salaries that are higher than most other occupations. It's not uncommon for roles to reach a salary of over $100,000. Even the lower paying roles still earn more than the median annual salary for all occupations countrywide.
Is an Online Data Analytics Bachelor's Degree Worth It?
Data analytics students learn fundamental skills in an ever-expanding field that's projected to see massive growth in the years to come. The curriculum generally involves a lot of technical training, particularly in the areas of mathematics and computer science. Students who are comfortable studying these complex subjects often benefit from a comfortable salary and strong job security.
The following pros/cons list will help prospective students gain insight into whether a data analytics degree online is worth it for them:
Potential Benefits
- High-demand skills 鈥� There's an increasingly high demand for skilled workers in the field of data science, and this doesn't show any signs of slowing.
- Working in different industries 鈥� Big Data is universal and applies to nearly every industry in the world. Data analytics graduates have the opportunity to work in healthcare, entertainment, business, finance, and the shared economy, where their skills help organizations increase efficiency and gain vital business insights.
Potential Drawbacks
- Low job satisfaction 鈥� According to , professional data analysts rated their job satisfaction at a 2.9 out of 5 stars. This places the field in the bottom 22% of all U.S. careers. It has remained there for quite a few years.
- Boring work 鈥� Organizing data is highly tedious and often includes a lot of monotonous work.
- Communication skills are essential 鈥� Data analytics professionals must be comfortable presenting complex data finds to leadership, especially if they work in business. This can be in stark contrast to the many hours spent on a computer crunching numbers.
Student Reviews of Online Data Analytics Programs
I attended San Jose State University from Fall 2022 up until May 2025. I was in the online Information Science & Data Analytics undergraduate program. I would say overall the program has been nothing but great for me. The different types of classes are from cyber security, data science, information security, etc. They all taught very well, and I got out numerous skills and knowledge from each of them. The professors for my school were excellent as well. Even though it was an online program, the connection... Read More
Review Date: 8/7/2025
Would Recommend: Yes
Helpful for Career: Yes
Like any education - you get what you put in. I am working on my Bachelor's in Data Analytics while working in as a Data Analyst. These class are tough. I have an instructor for stats right now who reviews our Statistical work coded in Jupyter notebook and and leaves us a voice message each week on our work detailing what we did right and where we may have gone wrong. Not all teachers are this hands on, but the amount of relative information I am learning is so inspiring. Perhaps I am unique because... Read More
Review Date: 1/23/2023
Would Recommend: Yes
Helpful for Career: No
It was a great experience. I am an older student but the present and even past teachers would provide assistance when asked in a timely manner. The teachers were very knowledgeable in the course they were teaching. They also had a lot of experience prior to teaching the course which is very helpful.
Review Date: 10/27/2022
Would Recommend: Yes
Helpful for Career: No
ASU is a wonderful college with so many resources to help students to succeed. I honestly feel like ASU took a chance on me! The reason I say this is because I did not have the best GPA when I applied, however, based on my personal statement they decided to give me a chance. I was determined to show the admissions committee that they made the right decision by working hard and never giving up on myself. I was expose to career coaching and advising services that were outstanding. ASU really wants... Read More
Review Date: 4/17/2019
Would Recommend: Yes
Helpful for Career: Yes
This school works for a very specific subset of people. It works for the people who like to debate late at night or get really philosophical in the middle of nowhere. It's for people who don't want to get perfect grades all the time, rather, they would want to be challenged even if their GPA suffers. It's lonely at the school and it's hard to make good friends and to have fun, but when you find the right group of people that really helps bring the vibes up. It's known as where fun goes to die for... Read More
Review Date: 4/23/2026
Would Recommend: Yes
Helpful for Career: Yes
Park University -Student Review.
Mike Mwanzia | Bachelor of Data Analysis program.
I studied at the Park University, Parkville, in 2019-2021 and pursued a Bachelor's of Data Analysis. In retrospect, it was also a time that actually defined my career path and I am happy I selected Park to do it.
In academics, I cannot complain at all - it gets a very good 5 out of 5 on my part. Data Analysis program was practical and well structured. The coursework challenged me to think rather than collect and present... Read More
Review Date: 3/19/2026
Would Recommend: Yes
Helpful for Career: Yes