Whether you already work with data and you’re looking to level up, or you work in another field and want to jump into data for the first time, an online master’s degree in data analytics can help you take the next step. It allows you to deepen your knowledge, sharpen your skills, and develop expertise in key industry areas like data visualization and business intelligence. Pursuing advanced study is a big choice, and it is important to have all the information you need to make a smart decision. Start with our rankings of the top online master’s in data analytics, and then read what it takes to succeed in a program and find the best job opportunities once you graduate.
2024’s Best Online Master’s Degrees in Data Analytics
(Update: No longer offered.) The Online MS in Data Analytics program at Moravian University can prepare students to develop leadership and communication skills, conduct business research, and manage databases. Courses are taught both synchronously and asynchronously online, giving students the flexibility to customize their own schedule at their pace. For synchronous courses, students will need to log in once a week during their scheduled class time. Additionally, students may be able to qualify for certain benefits the university offers, including a school-issued Apple MacBook Pro, iPad, and Pencil. They may also receive help obtaining hands-on experience in the field through internships or research.
Online Master of Science in Data Analytics
- Credits: 36
- Length: Two years
- Mode: Fully online
- Accreditation: ACBSP
School Services & Accreditation
The online MS in Data Analytics degree program at Butler University offers two concentrations: business analytics and healthcare analytics. Through the program, students will learn to interpret data and offer meaningful insights, hone critical thinking skills while mastering big data, and study machine learning, data mining, and predictive modeling. The number of credits it takes to complete the program depends on the concentration. In total, students are required to complete 11 courses, which can be done entirely online. Additionally, students will need to tune in to weekly live instructions. Those interested in applying do not need to submit GRE or GMAT scores for admission.
Master of Science in Data Analytics
- Credits: 31 to 32
- Length: 21 months
- Mode: Fully online
- Accreditation: HLC
School Services & Accreditation
Profiling Online Data Analytics Master’s Degree Programs
We’ve identified three additional online master’s programs in data analytics to help continue your search for a degree program that meets your needs. These accredited programs offer flexibility, affordability, and professional development opportunities you need to advance your career. Consider these in addition to those ranked above as you choose where to continue your education in 2024.
Advantages of Earning an Online Master’s Degree in Data Analytics
Pursuing a graduate-level study online has several benefits worth considering. Here are three key advantages to consider if you’re planning to pursue an online degree.
What You’ll Learn in Master’s in Data Analytics Online Programs
Each program may have its unique characteristics and benefits, but most programs emphasize the same outcomes. They establish a working knowledge base in data science, modeling, and the industry’s primary analytics techniques. By the time you graduate, you will be an expert in database architecture’s underlying principles, including data visualization, mining, forecasting, and security defense measures.
Most online data analytics programs conclude with an integrative capstone project. This program component helps you synthesize the skills and knowledge gained throughout your study and prepares you for future employment. Additionally, you can expect curriculum offerings that include courses like those listed below.
Some online master’s in data analytics programs may extend additional specialization opportunities while you’re in school. These concentration areas let you build out your expertise even further by focusing on one of several data analytics applications. Specializations like the ones discussed below are a great way to deepen your skillset and support long-term career growth with increased earning power and professional responsibility.
Accreditation for Online Master’s in Data Analytics
Accreditation is a priority for any reputable degree program and provides a quality assurance measure that protects your education. The U.S. Department of Education (ED) and the Council for Higher Education Accreditation (CHEA) provide guidelines and recognize accrediting agencies.
Institutional accreditation is the first thing you should look for in your search. Schools that are not accredited may not meet specific industry standards for your degree program. Most institutions possess regional accreditation, while others may receive national accreditation.
Some programs may hold a programmatic accreditation; this is a supplementary credential that does not replace institutional accreditation. Programs housed within a business, engineering, or computer science departments may possess programmatic accreditation from bodies like the Association to Advance Collegiate Schools of Business or the Accreditation Board for Engineering and Technology.
What You Can Do with an Online Master’s in Data Analytics
Earning an online master’s degree in data analytics not only prepares you for a variety of career options but also instills high-level qualifications and hard skills that support growth and professional advancement in current or future roles. The range of positions available when you graduate will be broader, more lucrative, and more empowering than before.
The occupations and career pathways outlined below should give you a good sense of the possibilities. Each job listed is in high demand, and data from the Bureau of Labor Statistics indicates that each offers quite a bit of room for compensation increases over time. Find out more about what you can do with your degree below.
Survey researchers use data analytics techniques to collect information and conduct surveys. These surveys help their organization enhance its products and services to meet demand and identify new target audiences. Survey researchers interpret and analyze data and often develop summary reports or fact sheets designed to improve outcomes.
|Median Annual Pay
Information Research Scientist
These professionals use insights from data analytics to design new computing technology applications and improve existing ones. They analyze experiment results and work with other engineers and analysts to troubleshoot recurring issues. They generate new algorithms to improve that process through rigorous testing and often publish their findings in industry publications.
|Median Annual Pay
Database administrators work for companies, firms, and institutions that depend on large database networks to manage information. They ensure information integrity and use complex tools and platforms to store, recall, and organize sensitive data. They analyze performance and work to develop new databases, in some cases.
|Median Annual Pay
Information Security Analyst
Analysts in this area use their data analytics background to develop, evaluate, and execute security measures on their employer’s behalf. Most information security analysts work for consulting firms or private businesses that often use sensitive information daily. They also research the latest trends and develop new tools, standards, and techniques.
|Median Annual Pay
Computer Systems Analyst
Computer systems analysts work alongside other data analytics experts to assess their organization’s performance and enhance efficiency. Many lead a team of analysts tasked with designing and implementing new systems and evaluating the value of existing methods based on organizational goals. At times, analysts may be asked to generate cost and benefit analysis reports.
|Median Annual Pay
Pricing Your Online Master’s in Data Analytics
In addition to accreditation, the program cost will probably be the biggest factor to consider as you assess potential schools. You can visit our financial aid page for more information on ways to cover the costs. Depending on your background and school of choice, you may be eligible for opportunities like scholarships, fellowships, or work-study placements. Businesses and other stakeholders in data analytics may offer private scholarships as well.
You can use the table below to get a broad picture of the expenses involved in earning an online master’s degree in data analytics. The costs can vary widely and depend on key factors like whether the school is public or private and where you reside when you enroll.
What Your Online Master’s in Data Analytics Could Cost
|No. of Credits
|Total Tuition Cost
Louisiana State University
Q&A with a Data Analytics Professor
Mr. Sanket Shah is an instructor for the University of Illinois at Chicago Department of Biomedical and Health Information Sciences (BHIS) at the College of Applied Health Sciences. Professor Shah has created a course curriculum focusing on healthcare business intelligence, healthcare data, knowledge management and consumer informatics. Professor Shah brings considerable strategic management and technology innovation experience. He has a wide range of experiences in healthcare information technology on the provider, payer, government and vendor sides of the healthcare business. He has served in positions in management, system design, logical database architecture, product management, consulting and healthcare value measurement for the past 10 years in the healthcare industry.
Q. People are drawn to online education for a variety of reasons, but it does present its own challenges. What are some things data analytics graduate students should be aware of on that front?
A: The technology for online learning has exponentially progressed in the last five to ten years, enabling a more immersive and interactive experience. For data analytics, the online format complements nicely by way of working with datasets and other business intelligence or data science platforms from anywhere and at any time. The challenges that come to mind are for those in the research communities that may be working with multiple large data sets that require substantial computing power. In these cases, ensuring one has the right technical set-up at home will be critical. But for most, learning online doesn’t require additional investment. Your set-up at home is more than enough to succeed.
Q. How can prospective graduate students position themselves for success in data analytics?
A: I often tell my students to stay connected. For whatever industry you want to enter, setting up news feeds on the latest developments will provide you industry-specific content and illuminate current trends. Students should also take full advantage of university resources such as the library or career services. There are plenty of resources for students to augment their learning experience and further their skill sets. Finally, network, network, network. University professors and fellow classmates have diverse backgrounds and experiences. Students should take the time to introduce themselves and broaden their professional network.
Q. Are there any lesser-known resources in data analytics that graduate students may not know about?
A: I would play close attention to industry conferences, especially those that are in a virtual format. These trade conferences have various industry thought leaders and plenty of content spanning a variety of broad and targeted topics. More often than not, they are free to attend or at a very reduced fee for students. I’d also recommend doing a bit of research to see if there are local groups/chapters connected with your industry. Many of these groups post events that are in-person or virtual. This is a great way to network with folks locally.
Q. Given your experience as a data analytics instructor, what additional advice would you give to prospective graduate students in this field?
A: Manage your time. We all have a lot of things going on, but planning your week ahead of time and adhering to a schedule will pay dividends in the long run. Know what is ahead of you and what needs to be prioritized. You will find yourself less stressed and more efficient in the process.
FAQs About Online Data Analytics Master’s Degrees
What are the admissions requirements for an online master’s in data analytics?
Most programs at the graduate level use a similar admissions process. The most important thing is to make sure you’ve completed a relevant, accredited bachelor’s degree with a competitive GPA. Specific requirements could still vary a bit, but generally speaking, applicants should be prepared to provide the following materials:
- A resume or CV that outlines your qualifications and professional background
- Transcripts indicating successful completion of an accredited bachelor’s degree
- Letters of reference from previous employers (usually 2-3)
- Standardized test scores (typically the GRE, but some don’t require this)
- A written personal statement that discusses your aspirations and future career goals
A few schools may do additional interviews, but this is rare and not a universal requirement. Be sure that you pay close attention to the deadlines (some are rolling, others specify a single date).
How long do online master’s in data analytics take to finish?
Online learning means you can streamline many components that would typically take more time in traditional formats. Outside factors like professional responsibilities and personal commitments will still have an impact, but in most cases, you should be able to graduate in no time at all.
For example, the online master’s in data analytics programs at Villanova University and Arizona State take approximately two years to complete; most other programs follow a similar timetable. If you enroll in a program with accelerated options like the ones at UC Berkley and Southern New Hampshire University, you may be able to finish within one year.
Can I earn a master’s in data analytics completely online?
Like other fields in the information technology sector, data analytics relies on electronic tools used in digital environments. This makes it a natural fit for remote learning opportunities. In most cases, you should be able to complete all program requirements entirely online, taking full advantage of the flexibility and convenience distance learning offers.
Some programs may extend hybrid learning opportunities if you want to practice your data analytics skills in person, but this isn’t usually required.