Online master’s in data analytics programs are becoming more available and accessible — and for good reason.
As we dig into the employment and career trends in data analytics deeper in this page, you will see that the demand for data professionals is growing.
So, what does it take to get an online data analytics degree?
One interesting thing about online degrees is that they can vary widely in format. The TechGuide research team looked at all 33 schools that offer an online master’s in data analytics and we found that program length can vary from 10 to 36 months. Usually, the difference is whether you decide to pursue the master’s full-time or part-time.
The number of required credits ranges from 30 to 48 and largely depends on how schools define a credit hour. Additionally, some programs have staggered start times (up to six times a year), while other programs divide the offerings into 12-week intervals.
Another big trend amongst nearly all online programs is that they require some kind of hands-on component. For example, 73 percent of schools surveyed require a capstone project, while 24 percent require a practicum course to graduate.
Data Analytics on the Rise
In the past two decades, analysis has become a buzzword. This is not just widespread in corporate America but around the world as well.
Michael Shulman, head of machine learning at Kensho explains, “Since most of the world’s data is unstructured, an ability to analyze and act on it presents a big opportunity.”
You don’t have to look far in your job search to find a company that is seeking a professional who is skilled in analysis. Most occupations these days call for a deep dive into the root cause of any given problem.
Being analytical is a must-have and spans an array of disciplines. From small to large businesses, all see the benefit of gaining insight into their data. If you are already thriving in almost any industry, you can expand your repertoire. With some focus, you can build the analytical side of your business savvy.
In this Age of Information, companies have made a concerted effort to improve their capabilities. They are in tune with first capturing and then storing data. Many interpret historical data or advance to real-time.
Business leaders know this is the fast path to improve their decision-making. Think about the words of Tim Berners-Lee, inventor of the World Wide Web. He proclaims that “Data is a precious thing and will last longer than the systems themselves.”
Best Online Master’s in Data Analytics Degree Programs for 2024
- Program: M.S. in Data Analytics and Policy
Credits: 36
Cost per credit: $1,527
Delivery Method: Online
GRE Required: Not required
Total Tuition: $54,972
DASCA Designation: Yes
Learn more: Program details - Program: M.S. in Analytics
Credits: 36
Cost per credit: $275
Delivery Method: Online
GRE Required: Not required
Total Tuition: $9,900
DASCA Designation: Yes
Learn more: Program details - Program: M.S. in Applied Analytics
Credits: 36
Cost per credit: $2,536
Delivery Method: Campus & online
GRE Required: Not required
Total Tuition: $91,296
Learn more: Program details - Program: M.S. in Data Analytics
Credits: 1-29
Cost per credit: $625
Delivery Method: Online
GRE Required: Not required
Total Tuition: $18,750
Learn more: Program details - Program: M.S. in Data Analytics
Credits: 36
Cost per credit: $366
Delivery Method: Campus & online
GRE Required: Not required
Total Tuition: $13,167
Learn more: Program details - Program: M.S. in Strategic Analytics
Credits: 30
Cost per credit: $976
Delivery Method: Online
GRE Required: Not required
Total Tuition: $29,280
Learn more: Program details - Program: M.S. in Data Science and Analytics
Credits: 36
Cost per credit: $576
Delivery Method: Online
GRE Required: Not required
Total Tuition: $20,736
Learn more: Program details - Program: M.S. in Analytics
Credits: 36
Cost per credit: $650
Delivery Method: Online
GRE Required: Not required
Total Tuition: $23,400
Learn more: Program details - Program: Master of Professional Studies in Analytics
Credits: 45
Cost per credit: $1,116
Delivery Method: Online
GRE Required: Not required
Total Tuition: $50,220
Learn more: Program details - Program: M.S. in Data Analytics
Credits: 30
Cost per credit: $450
Delivery Method: Campus & online
GRE Required: Not required
Total Tuition: $13,500
Learn more: Program details - Program: Professional Master in Data Analytics
Credits: 30
Cost per credit: $444
Delivery Method: Online
GRE Required: Not required
Total Tuition: $13,332
Learn more: Program details - Program: M.S. in Analytics
Credits: 33
Cost per credit: $1,922
Delivery Method: Online
GRE Required: Required
Total Tuition: $63,426
Learn more: Program details - Program: M.S. in Data Analytics
Credits: 36
Cost per credit: $694
Delivery Method: Online
GRE Required: Not required
Total Tuition: $24,984
DASCA Designation: Yes
Learn more: Program details - Program: M.S. in Data Analytics
Credits: 40
Cost per credit: $910
Delivery Method: Campus & online
GRE Required: Not required
Total Tuition: $36,400
Learn more: Program details - Program: M.S. in Analytics
Credits: 33
Cost per credit: $1,091
Delivery Method: Online
GRE Required: Not required
Total Tuition: $36,003
Learn more: Program details - Program: Analytics Master of Science (MSA)
Credits: 30
Cost per credit: $374
Delivery Method: Campus & online
GRE Required: Required
Total Tuition: $11,220
Learn more: Program details - Program: M.S. in Analytics and Information Management
Credits: 30
Cost per credit: $1,095
Delivery Method: Online & hybrid
GRE Required: Optional
Total Tuition: $32,850
Learn more: Program details - Program: M.S. in Data Analytics
Credits: 32
Cost per credit: $670
Delivery Method: Online
GRE Required: Not required
Total Tuition: $21,440
Learn more: Program details - Program: M.S. in Data Analytics Engineering
Credits: 30
Cost per credit: $930
Delivery Method: Online
GRE Required: Not required
Total Tuition: $27,900
Learn more: Program details - Program: M.S. in Applied Security and Analytics
Credits: 34
Cost per credit: $750
Delivery Method: Online
GRE Required: Not required
Total Tuition: $25,500
Learn more: Program details - Program: Data Analytics Master's Degree
Credits: 30
Cost per credit: $673
Delivery Method: Online
GRE Required: Not required
Total Tuition: $20,194
Learn more: Program details - Program: M.S. in Data Analytics
Credits: 33
Cost per credit: $516 in state | $774 out of state
Delivery Method: Online
GRE Required: Not required
Total Tuition: $17,028 in state | $25,542 out of state
Learn more: Program details - Program: M.S. in Informatics and Analytics
Credits: 30
Cost per credit: $438 in state | $1,223 out of state
Delivery Method: Campus & Online
GRE Required: Not required
Total Tuition: $6,412 in state | $20,542 out of state
Learn more: Program details - Program: M.S. in Data Analytics
Credits: 30
Cost per credit: $565 in state | $963 out of state
Delivery Method: Campus & online
GRE Required: Optional
Total Tuition: $16,950 in state | $28,890 out of state
Learn more: Program details - Program: M.S. in Data Analytics
Credits: 45
Cost per credit: $560
Delivery Method: Online
GRE Required: Not required
Total Tuition: $25,200
Learn more: Program details
The TechGuide research team compiled these rankings from data accessed in December 2023 from the Integrated Postsecondary Education Data System (IPEDS) and College Navigator (both services National Center for Education Statistics). Tuition data was pulled from individual university websites and is current as of December 2023. If available, we also use additional criteria such as accreditation or designations by outside organizations or agencies.
What is a Master’s in Data Analytics?
Before embarking on your journey to selecting the right program and approach, it’s important to define the different aspects of a master’s degree in data analytics. Analytics on its own is the art and science of taking raw data, i.e., data points, and mining these to extract data gems. The end goal is actionable intel.
A master’s degree in analytics has many arms. It is a blend of Management Information Systems (MIS), Finance and Economics, Computer Science, and Statistics.
For this reason, it attracts students with STEM know-how and strong business acumen. It touches on programming, BI, and data science.
Concentrations will vary. Some students want to learn more about data engineering and modeling. Others may vie for data architecture or computer science. Roles range from the back-end, more technical perspective to the front-end, outward leaning.
Data Analytics Online Master’s Program Format
Professionals may look to hone their skills at different chapters in their lives. Some will be moving directly from college and into an advanced degree program.
Others will have worked for a period and are ready to acquire new skills. With both paths, it’s important to assess the online curriculums that are out there.
At this stage, you may have more questions than answers. You are smart to weigh the advantages and disadvantages. Insight into coursework and projects is a good first step in making a decision.
Online Data Analytics Courses Overview
The programs that are offered will vary by institution. You will often see a master’s in data or business analytics. A master’s in science in analytics is also commonplace.
The types of courses may also differ. A graduate program of this kind is made up of multi-focuses. These range from business and computation to operations research and statistics.
Depending on your interests, you may lean towards a program that is business-oriented or more tech-based. You can even choose from accounting, healthcare, supply chain, and social media.
There are an array of core subjects and electives. It is up to you to select the concentration. You pick out in which area you desire a high-level understanding or a narrower focus. As you assess things like value and ranking help navigate.
The 25 Most Common Courses Based on 33 Online Master’s Programs
Advanced Data Analysis | 76% |
Data Visualization | 70% |
Business Analytics | 58% |
Database Management | 48% |
Machine Learning | 45% |
Predictive analytics | 45% |
Statistics and Probability | 45% |
Big Data Analytics | 42% |
Data Mining | 39% |
Statistical Methods | 39% |
Artificial Intelligence | 36% |
Project Management | 33% |
Risk Management | 33% |
Programming | 30% |
Data Management | 27% |
Marketing Analytics | 24% |
Python | 24% |
Cloud Computing | 21% |
Cybersecurity | 21% |
Leadership and Strategy | 21% |
Algorithms | 18% |
Deep Learning | 18% |
Health Data Analytics | 18% |
Information Technology | 18% |
Mathematics of Data | 18% |
Advantages to Think About
There are many pluses. Choose that which is most important to you:
- Quality: One of the advantages of online education is its high-quality learning. With the refinement of best practices, the industry has yielded digital learning tools that make learning easier. These better connect students with their professors and classmates.
- Flexibility: Nowadays, the choice is not only whether to choose online or in person. You can also opt for the type of schedule that works best for you. In the online world, there are two formats, asynchronous and synchronous.
- Online communications: With the movement to remote work, students aim to sharpen their communication skills. Education through an online platform is a value-add. Professionals need to become practiced in conveying complex concepts in this new work setup.
- High ROI: It’s easy to prove the business case here. The correlation between a master’s level degree and higher pay is strong. Advancement from a bachelor’s to a master’s is studied to be as high as 20 percent.
Some Disadvantages
An online master’s program calls for dedicated time and a real commitment. Consider the minuses before you move forward:
- Style and format: Despite the growth in all things online, it’s not for everyone. It can be challenging to adapt to the remote style of learning.
- Absence of face-to-face contact: You may miss the subtle nuances and engagement that take place in a classroom. It can be hard to thrive in an environment where you can’t see the facial expressions of your peers and professors.
- Lack of discipline: Some may perceive an online program as too flexible. There can be distractions from home and family life that thwart concentration. It can be difficult to focus on the subject material.
What is a Capstone Project?
A capstone project in an online master’s in data analytics program typically involves applying the skills and knowledge gained throughout the course to a real-world problem or dataset.
Here’s what an example capstone project might look like:
Project Title: Predictive Analytics for Customer Churn in E-commerce
Objective:
The primary goal of this capstone project is to develop a predictive model to identify customers who are likely to churn (i.e., stop doing business with the company) in the near future. This will help the e-commerce company to implement targeted retention strategies and improve customer loyalty.
Steps Involved:
- Problem Definition:
- Define what constitutes customer churn in the context of the e-commerce business.
- Set objectives for the prediction model (e.g., accuracy, recall, precision).
- Data Collection:
- Gather data from various sources such as transaction logs, customer service interactions, and website analytics.
- Data may include customer demographics, purchase history, browsing behavior, and previous churn cases.
- Data Preprocessing:
- Clean and preprocess the data to handle missing values, outliers, and inconsistencies.
- Feature engineering to create meaningful variables that could influence churn (e.g., frequency of purchases, average order value, customer service interactions).
- Exploratory Data Analysis (EDA):
- Perform EDA to understand the data distribution, correlations, and patterns.
- Visualize key insights using charts and graphs.
- Model Building:
- Split the data into training and testing sets.
- Choose appropriate machine learning algorithms for the predictive model (e.g., logistic regression, decision trees, random forest, gradient boosting).
- Train multiple models and tune hyperparameters to improve performance.
- Model Evaluation:
- Evaluate the models using metrics such as accuracy, precision, recall, F1-score, and ROC-AUC.
- Select the best-performing model based on these metrics.
- Implementation:
- Deploy the chosen model in a real-world setting.
- Set up a system for regular model updates and retraining as new data comes in.
- Results and Insights:
- Interpret the model results and identify key factors contributing to customer churn.
- Provide actionable insights and recommendations to the e-commerce company.
- Documentation and Presentation:
- Document the entire process, including methodologies, findings, and conclusions.
- Present the project to stakeholders, highlighting the business impact and potential strategies for customer retention.
Deliverables:
- Technical Report: Detailed documentation of the project, including data preprocessing steps, model building, and evaluation.
- Predictive Model: A working model that can be deployed to predict customer churn.
- Presentation: A concise presentation summarizing the key findings and recommendations.
Tools and Technologies:
- Programming Languages: Python, R
- Data Analysis and Visualization: Pandas, NumPy, Matplotlib, Seaborn
- Machine Learning Libraries: Scikit-learn, XGBoost, TensorFlow, Keras
- Database Management: SQL
- Deployment: Flask, Docker
This example demonstrates a comprehensive approach to solving a real business problem using data analytics, showcasing the student’s ability to handle complex data, apply advanced analytical techniques, and communicate findings effectively.
Choose from a wide range of topics like these:
- Intelligence methods: This covers different techniques for extracting knowledge from data, like decision trees and rule-based systems.
- Data mining: This dives into specific algorithms used to uncover hidden patterns and insights within large datasets.
- Modeling: You’ll learn how to build statistical models to represent real-world phenomena using data.
- Problem-solving: This course likely focuses on approaching data analysis tasks strategically and developing effective solutions.
- Machine learning: This explores algorithms that can learn from data without explicit programming, allowing for predictions and pattern recognition.
- Forecasting: This teaches methods to predict future trends and events based on historical data and current information.
- Business ops: This course likely translates analytical skills into a business context, focusing on using data to improve operations and decision-making.
- Programming of computer languages: This equips you with the ability to code and work with data using programming languages like Python or R.
- Artificial intelligence (AI): This is a broad field encompassing machine learning, but also delves into areas like computer vision and natural language processing.
Tools and programming languages may change with the times. At present, Python, R, SQL, and Tableau are commonly studied.
Key Points in Admissions
Most online master’s programs in the field of data analysis are rigorous. Some institutions require a BA/BS in a STEM-related field. Others ask for hands-on experience (work) in the field.
A computer programming certification can also serve as a supplement. The magic formula is a background in math and/or IT.
It’s important to point out that a standardized test is not needed. There is no requirement for a GRE or GMAT. Students applying from outside of the US may need to provide additional items.
Most admissions offices will request a resume/CV and an SOP (statement of purpose) as well. These are essential and should be presented as well-edited and polished.
Graduation Requirements
The checklist for fulfilling a master’s will also diverge. For many, a master’s thesis, practicum, or capstone project is required. or research is needed.
There are distinctions in terms of credit or class requirements. At a minimum, there are 11 courses. Others call for 30 to 36 credits. Depending on whether a part or full-time program, classes average no more than three to four during a semester.
Completion ranges vary, from 12 to 16 months to 23 months. The good news is that there is an abundance of programs or different types and specs that can meet a wide range of needs and goals.
Online Degree and Career Prep
There is much to consider when choosing to advance your career path by earning a degree in a highly sought-after field. Laid out below are three reasons why an online degree is the 100 percent smart route to level up your future:
- Save a significant amount of money. No travel or room and board costs. Most online master’s programs have standard tuition rates. This reduces costs for out-of-state.
- Save time and energy. No need to waste time in the car and rush to your class. With your laptop in hand, classes can take place anytime, anywhere.
- Save on stress. No more worries about fitting in classroom time and homework. Make the most of the autonomy and flexibility.
The biggest benefit of an online master’s program is that working professionals can kill two birds with one stone. You can level up your education in a convenient and economical way and at the same time, up-skill your resume.
As you well know, experiential learning goes hand and hand with the traditional style. The relationships that you forge through the years will propel your career forward. The building of a robust professional network is part of the journey to earning your dream job.
Lucky for you, there are a number of opportunities that have been introduced in recent years.
The New Networking
- Career services: This department’s single focus is to connect students with people and resources. They can advise on jobs and internships in the area. Take advantage of these resources to put you in touch with alumni that are hiring.
- Professors: This important group should be your first to ask when it comes to plotting a career path, writing recommendation letters, or offering advice.
- Social media and virtual networking events: Keep your profiles updated, and be on the lookout for events in your field. Commit to putting business dates on your calendar. Start building relationships through your peer group.
Tuition Costs
It’s important to think about which type of analytics master’s program is best for you. This will impact the credits required, the length of time to complete, and the overall cost. There are many from which to choose.
According to TechGuide research, tuition can vary widely amongst the 33 available programs.
The most expensive online master’s in data analytics program costs $91,296 and is from Columbia University.
The most cost-effective program is available from Georgia Tech and has a cost of $9,900.
The average cost when looking at all 33 programs is $30,064.
How to Pay
As mentioned previously, the ROI is proven. That said, you still need to figure out the best and most cost-effective way to pay the tuition fees. Make sure to consider every option before you rack up debt with student loans. For starters, review these options:
- Financial aid: There are numerous financial aid options available, including aid for online master’s degree programs.
- Tuition reimbursement: Tuition reimbursement programs are usually operated by big companies that invest in workforce training and education.
- Veteran’s benefits: Increasingly, online master’s programs are becoming eligible for veteran’s benefits.
- Military tuition assistance: Generally these benefits are for active duty and reserve members of the military.
Outlook on Salary
Now that you have calculated the return, you should start looking at some real numbers. It’s important and exciting to look at how your hard-earned work can pay off in dollar amounts. It’s easy to find job sites that show the high demand for professionals with advanced know-how in data analysis.
Salary levels are no secret. The most widely used career resources offer stats on wages. You can check out your earning potential. According to Payscale, the average salary with a master’s in business analytics is $77,000. BLS cites earnings of up to $83,640.
Elite schools show even higher numbers, i.e., $103,000 or a 22 percent lift from the previous salary. You can begin to assess how these average rates compare to your current pay.
The Final Analysis and Next Steps
It is key to learn as much as you can about what a master’s in analytics means and where it will take you. You have done your homework. The specs and requirements of every program will differ greatly.
You are now in tune with the wide range of formats and styles of learning in the realm of online education. It is an exciting time to be a student.
There are multi-ways to create an education plan that meets your career, expense, and long-term goals. Keep in mind the insight of Keith Bachman, Wall Street analyst at BMO Capital.
He shared that “In times where small instructor-led classrooms tend to be the exception, electronic learning solutions can offer more collaboration and interaction with experts and peers, as well as a higher success rate than the live alternative.”
Whichever route you take, move forward. Plot out your next steps and follow them to the “t”.
Frequently Asked Questions
An online master’s in data analytics is a graduate-level program that teaches students how to analyze and interpret complex data. This program is delivered entirely online, offering flexibility for working professionals.
This program is ideal for individuals with a background in statistics, computer science, or business who wish to advance their skills in data analysis and interpretation.
Most programs require a bachelor’s degree, preferably in a related field, along with foundational knowledge in statistics and computer programming.
Typically, these programs can be completed in 1-2 years, depending on whether the student is enrolled full-time or part-time.
Coursework often includes data mining, statistical methods, machine learning, data visualization, and ethical considerations in data analytics.
Many institutions offer financial aid options, including loans, scholarships, and grants, for eligible students.
Programs may include case studies, capstone projects, or internships that provide practical, real-world experience in data analytics.
Online Data Analytics Master’s School Listings
- Program: Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $27,126
2024/2025 Cost per credit: $822
Credits: 33
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $66,000
2024/2025 Cost per credit: $2,000
Credits: 33
GRE requirement: Required
Learn more: Program details - Program: Program Evaluation and Data Analytics MSc
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $25,245
2024/2025 Cost per credit: $765
Credits: 33
GRE requirement: Not required
Learn more: Program details - Program: Taxation and Data Analytics MTax
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $30,390 in-state | $52,290 out-of-state
2024/2025 Cost per credit: $1,013 in-state | $1,743 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Applied Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $17,600
2024/2025 Cost per credit: $550
Credits: 32
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $37,600
2024/2025 Cost per credit: $940
Credits: 40
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $34,320
2024/2025 Cost per credit: $715
Credits: 48
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $104,370
2024/2025 Cost per credit: $3,479
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master’s in Data Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $39,990
2024/2025 Cost per credit: $1,333
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Masters of Science in Data Science and Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $19,800 in-state | $26,190 out-of-state
2024/2025 Cost per credit: $660 in-state | $873 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Applied Analytics
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $95,328
2024/2025 Cost per credit: $2,648
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $22,500
2024/2025 Cost per credit: $625
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Analytics Master of Science (MSA)
DASCA designation: No
Delivery method: Online & campus
Total tuition: $11,220 in-state | $19,890 out-of-state
2024/2025 Cost per credit: $374 in-state | $663 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: M.S. in Analytics and Information Management
DASCA designation: No
Delivery method: Online & hybrid
Total tuition: $34,140
2024/2025 Cost per credit: $1,138
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: MS in Data Science and Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $23,100 in-state | $34,830 out-of-state
2024/2025 Cost per credit: $770 in-state | $1,161 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $21,440
2024/2025 Cost per credit: $670
Credits: 32
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics Engineering
DASCA designation: No
Delivery method: Online
Total tuition: $27,900
2024/2025 Cost per credit: $930
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Analytics
DASCA designation: Yes
Delivery method: Online
Total tuition: $39,816 in-state | $53,964 out-of-state
2024/2025 Cost per credit: $1106 in-state | $1499 out-of-state (Campus) | $297 (Online)
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $34,380
2024/2025 Cost per credit: $955
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics and Policy
DASCA designation: Yes
Delivery method: Online
Total tuition: $56,412
2024/2025 Cost per credit: $1,567
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $30,312
2024/2025 Cost per credit: $842
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Data Analytics Master's Degree
DASCA designation: No
Delivery method: Online
Total tuition: $13,500 in-state | $30,210 out-of-state
2024/2025 Cost per credit: $450 in-state | $1007 out-of-state (Campus) | $536 Online
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Business Systems and Analytics
DASCA designation: No
Delivery method: Hybrid
Total tuition: $29,550
2024/2025 Cost per credit: $985
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: Master of Science in Business Data Analytics
DASCA designation: No
Delivery method: Online, campus & hybrid
Total tuition: $43,650
2024/2025 Cost per credit: $1,455
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $25,092 in-state | $58,932 out-of-state
2024/2025 Cost per credit: $697 in-state | $1,637 out-of-state
Credits: 36
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Science and Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $20,880
2024/2025 Cost per credit: $580
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Professional Master in Data Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $13,320
2024/2025 Cost per credit: $444
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $7,140 in-state | $29,820 out-of-state
2024/2025 Cost per credit: $238 in-state | $994 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Professional Studies in Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $52,245
2024/2025 Cost per credit: $1,161
Credits: 45
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics and Artificial Intelligence
DASCA designation: No
Delivery method: Online & campus
Total tuition: $29,370
2024/2025 Cost per credit: $979
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Data Science & Analytics (M.S.)
DASCA designation: No
Delivery method: Online & campus
Total tuition: $17,970 in-state | $43,170 out-of-state
2024/2025 Cost per credit: $599 in-state | $1,439 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $25,695
2024/2025 Cost per credit: $571
Credits: 45
GRE requirement: Not required
Learn more: Program details - Program: Accounting Data Analytics and Technologies, MS
DASCA designation: No
Delivery method: Online & campus
Total tuition: $45,300
2024/2025 Cost per credit: $1,510
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Professional Studies in Data Analytics
DASCA designation: Yes
Delivery method: Online
Total tuition: $31,680
2024/2025 Cost per credit: $1,056
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: Yes
Delivery method: Online, campus & hybrid
Total tuition: $35,130 in-state | $57,450 out-of-state
2024/2025 Cost per credit: $1171 in-state | $1915 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: Online Master’s in Data Science and Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $17,028 in-state | $17,358 out-of-state
2024/2025 Cost per credit: $516 in-state | $526 out-of-state
Credits: 33
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $31,800
2024/2025 Cost per credit: $1,060
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $26,070
2024/2025 Cost per credit: $790
Credits: 33
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Big Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $19,020 in-state | $31,620 out-of-state
2024/2025 Cost per credit: $634 in-state | $1,054 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $17,028 in-state | $25,542 out-of-state
2024/2025 Cost per credit: $516 in-state | $774 out-of-state
Credits: 33
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $22,932
2024/2025 Cost per credit: $637
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $14,130 in-state | $28,890 out-of-state
2024/2025 Cost per credit: $471 in-state | $963 out-of-state
Credits: 30
GRE requirement: Optional
Learn more: Program details - Program: Data Science and Analytics (MS)
DASCA designation: No
Delivery method: Online & campus
Total tuition: $15,543 in-state | $34,353 out-of-state
2024/2025 Cost per credit: $471 in-state | $1,041 out-of-state
Credits: 33
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Analytics
DASCA designation: No
Delivery method: Campus & hybrid
Total tuition: $25,992
2024/2025 Cost per credit: $722
Credits: 36
GRE requirement: Required
Learn more: Program details - Program: Data Analytics and Information Systems (M.S.)
DASCA designation: Yes
Delivery method: Online & campus
Total tuition: $15,000 in-state | $27,300 out-of-state
2024/2025 Cost per credit: $500 in-state | $910 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: Master of Science in Data Analytics (MSDA)
DASCA designation: No
Delivery method: Online & campus
Total tuition: $18,252 in-state | $34,380 out-of-state
2024/2025 Cost per credit: $507 in-state | $955 out-of-state
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Applied Security and Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $24,820
2024/2025 Cost per credit: $730
Credits: 34
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $11,952 in-state | $24,552 out-of-state
2024/2025 Cost per credit: $332 in-state | $682 out-of-state
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: Yes
Delivery method: Online
Total tuition: $24,984
2024/2025 Cost per credit: $694
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Science and Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $17,000 in-state | $59,500 out-of-state
2024/2025 Cost per credit: $500 in-state | $1,750 out-of-state
Credits: 34
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $12,384 in-state | $26,028 out-of-state
2024/2025 Cost per credit: $344 in-state | $723 out-of-state
Credits: 36
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Informatics and Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $17,220 in-state | $46,650 out-of-state
2024/2025 Cost per credit: $574 in-state | $1,555 out-of-state (Campus) | $428 in-state | $1,409 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: Digital Retailing Advanced Data Analytics Master's
DASCA designation: No
Delivery method: Online & campus
Total tuition: $14,220 in-state | $16,140 out-of-state
2024/2025 Cost per credit: $474 in-state | $538 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $13,500
2024/2025 Cost per credit: $450
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: Master of Science in Data Analytics
DASCA designation: No
Delivery method: Online & campus
Total tuition: $35,112
2024/2025 Cost per credit: $924
Credits: 38
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Business Data Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $28,950
2024/2025 Cost per credit: $965
Credits: 30
GRE requirement: Not required
Learn more: Program details - Program: M.S. in Data Analytics
DASCA designation: No
Delivery method: Online
Total tuition: $18,876
2024/2025 Cost per credit: $572
Credits: 33
GRE requirement: Not required
Learn more: Program details