The Best Master’s Degrees in Data Analytics to Further Your Career

A Master’s Degree in Data Analytics is a good fit for people who want to focus on the business or technical side of analytics. Students enrolled in the program learn the application of analytics to real-world problems, as well as topics like machine learning and other technologies and tools in the field.

If you want to enhance your career, a master’s degree is your best bet. This guide covers the best Master’s Degrees in Data Analytics as well as how to choose the right program for you.

Overview: The Top 10 Master’s Degrees in Data Analytics

The table below contains the 10 best data analytics master’s degree programs we could find. For each program, we list the tuition cost, the location, and whether an online option is available. The information in the table was obtained from the school websites. Per term and per year costs are estimates for full-time students. Tuition rates are subject to change.

School and Degree State Tuition Online Option
Binghamton University
Master of Science in Data Analytics
NY In-state: $5,655 per term
Out-of-state: $6,750 per term
No
Capella University
Master of Science in Analytics
MN $695 per credit* Yes
Georgia State University
Master of Science in Data Science and Analytics
GA Resident: $39,000 for full program
Non-resident: $45,000 for full program
No
Kansas State University
Master of Science in Data Analytics
KS In-state: $429 per credit hour
Out-of-state: $959 per credit hour
No
New England College
Master of Science in Applied Data Analytics
NH $576 per credit No
Northeastern University
Master of Professional Studies in Analytics
MA $43,900 for full program No
St. Thomas University
Master of Science in Big Data Analytics
FL $800 per credit hour No
Tufts University
Master of Science in Data Analytics
MA $54,196 for full program No
University of Central Florida
Master of Science in Data Analytics
FL $36,300 per year* No
Utah State University
Master of Data Analytics (MDATA)
UT Resident: $4,192 per term
Non-resident: $14,410 per term
No

*Includes fees

What Is a Master's Degree in Data Analytics?

A Master’s in Data Analytics covers skills needed to thrive in the industry. It enhances job opportunities and leadership skills. Professionals with this degree develop an enhanced analytical mindset to solve problems for organizations.

A Master’s Degree in Data Analytics focuses on concrete and factual studies. The program is the next level after a bachelor’s degree. In most cases, it takes two years to finish.

Why You Should Get a Master’s Degree in Data Analytics

A master’s degree can increase your credibility. It can help you stand out among your peers. If you’re still not convinced that a Master’s in Data Analytics is worth it, check out the following list of reasons.

  • Greater proficiency in data analytics. Graduates of this type of program become more proficient in data analytics. This is essential for data professionals to thrive.
  • Increased job opportunities. Data analytics are relevant to most industries today. A master’s degree in this field makes you an asset to employers in different industries.
  • Higher earning power. With a master’s degree, you stand a better chance of earning a higher salary.

In Detail: The Best Master’s Degrees in Data Analytics

The types of master’s degrees below include Master of Science, Master of Applied Science, and Master of Professional Studies. The list contains both private and public schools.

Binghamton University | Master of Science in Data Analytics

This master’s degree program is a blend of core courses and real-world projects. Students also take electives from different fields to customize their degrees. The program requires 30 credits to complete. Most people finish the coursework within 10 months. The curriculum covers the fundamentals of analytics. It is a STEM degree because of its quantitative nature.

Master of Science in Data Analytics Pros

  • Takes just 10 months to complete
  • Citizens and permanent residents of the United States eligible for fellowships
  • Affordable tuition rates

Master of Science in Data Analytics Cons

  • Lack of social opportunities on campus

Capella University | Master of Science in Analytics

This master’s degree program takes place online. It develops students’ command of analytical tools used by businesses today, making it a great option for those coming out of bachelor’s programs in business analytics. Students in the program master advanced skills in statistics, data mining, forecasting, applied analytics, and modeling.

The curriculum also covers how to find, use, and interpret important information for effective decision-making in an organizational setting. It includes 11 core courses and a capstone project. The degree program has a 48-credit requirement.

Master of Science in Analytics Pros

  • Accepts transfer credits
  • Hands-on and flexible training

Master of Science in Analytics Cons

  • No accelerated program

Georgia State University | Master of Science in Data Science and Analytics

Students in this program learn crucial topics like deep learning, machine learning, artificial intelligence, big data, and Python. You will also learn SAS, Amazon Web Services, and Microsoft Azure. You can choose between two concentrations, which are called Legal Analytics and Data Science in Business.

Students use the skills they learn to predict outcomes, detect patterns, and drive insights related to compliance, transactions, litigation, and regulations.

Master of Science in Data Science and Analytics Pros

  • Customizable degree path
  • Hands-on training

Master of Science in Data Science and Analytics Cons

  • Costly tuition

Kansas State University | Master of Science in Data Analytics

This STEM program requires 30 credits to complete. However, students can graduate after only 21 credits if they’re on a dual degree track. This degree’s two concentration options are Applied Analytics and Data Science. The curriculum is integrated and allows students to choose a track that suits their interests.

Master of Science in Data Analytics Pros

  • Community-engaged learning
  • Hands-on projects
  • Accepts transfer credits

Master of Science in Data Analytics Cons

  • No online course options

New England College | Master of Science in Applied Data Analytics

This master’s degree program has seven start dates throughout the year. It requires 36 credits to complete. Students learn to leverage data for decision-making. The curriculum covers methods of data acquisition, data warehousing, and data cleaning.

Additionally, students are taught data analysis tools and methodologies for extracting data and designing databases. This program also covers data harvesting and how to perform analytical methods on real-world datasets to meet consumer needs.

Master of Science in Applied Data Analytics Pros

  • Open to both experienced and inexperienced students
  • Hands-on training

Master of Science in Applied Data Analytics Cons

  • No online program

Northeastern University | Master of Professional Studies in Analytics

This program prepares students by teaching them the tools, principles, and essential methods of analytics. The curriculum covers the entire process from extraction to development. It offers hands-on projects to help students network with their peers.

Master of Professional Studies in Analytics Pros

  • Good for building a strong portfolio
  • Promotes networking among students
  • STEM-designated degree

Master of Professional Studies in Analytics Cons

  • Costly tuition

St. Thomas University | Master of Science in Big Data Analytics

This program requires 30 credits to complete. It can be finished in one year. The program focuses on forming strategies for data-driven decisions. The curriculum also covers topics like data mining, big data, and machine learning.

It also includes data visualization, computer programming, and data warehousing. Students learn to use modern tools in data analytics and practice their skills on real-world data.

Master of Science in Big Data Analytics Pros

  • Considered a STEM program
  • Hands-on training

Master of Science in Big Data Analytics Cons

  • High tuition

Tufts University | Master of Science in Data Analytics

This program has part-time and full-time schedule options for working professionals. The program can be completed within two years. It also offers an accelerated pathway that allows students to finish within a year.

The curriculum covers how to define and solve complex problems with statistical methodologies. It also covers how to appropriately interpret results using data analysis concepts.

Students learn to choose the right predictive and statistical methodologies for large and sparse datasets. The program also teaches how to create visual representations to help others understand and use complex data.

Master of Science in Data Analytics Pros

  • Hands-on training
  • Flexible scheduling options
  • Accelerated program available

Master of Science in Data Analytics Cons

  • Costly tuition

University of Central Florida | Master of Science in Data Analytics

This program provides students with the skills needed to develop computer programs and algorithms for the discovery of large amounts of data. The curriculum covers the architecture of programs and technical aspects of algorithm development.

Students write and maintain computer programs using cutting-edge technology. Through this program, they master tools that will aid them later in their careers.

Master of Science in Data Analytics Pros

  • Hands-on training
  • Affordable

Master of Science in Data Analytics Cons

  • Large class sizes

Utah State University | Master of Data Analytics

This special master’s program, which Utah State calls an MDATA, is a blend of management of information systems, statistics, finance, economics, and computer science. Students in the program learn about data analysis and management as well as the tools needed to work with data.

Some of the courses in the curriculum include statistical visualization, data mining, introduction to R programming, computational science, applied econometrics, and database management. The program ends with a capstone project.

MDATA Pros

  • Interdisciplinary
  • Hands-on training
  • Affordable

MDATA Cons

  • No remote programs
Online vs In-Person Master’s Degrees in Data Analytics

Online vs In-Person Master’s Degrees in Data Analytics

With many of the programs above, you have the option of studying online or attending classes on campus. The best option for you depends on your preference and learning style. Students with busy schedules often choose to enroll in online programs.

This saves them money and time. Additionally, online students can study at their own pace. On-campus programs may provide some flexibility in class scheduling, but this is not always possible.

When it comes to networking, both online and on-campus programs have their perks. Online students have the opportunity to network with their peers around the world. On-campus students network with their peers and professors. Traditional schools tend to have stronger alumni programs.

Benefits of an Online Master’s Degree in Data Analytics

  • Location and Time Flexibility. Students can attend the program from any part of the world as long as they have an Internet connection. Often courses are offered on-demand to cater to students with time restrictions.
  • Broader Networking. Online programs encourage students to make connections with their peers around the world and expand their networks.
  • Work-Life Balance. The flexibility of the program makes it possible for students to balance school, work, and family life.

Benefits of an In-Person Master’s Degree in Data Analytics

  • Social Interaction. Studying on campus gives you the traditional experience of college with a stronger social aspect.
  • Deeper Networking. Students have an opportunity to network locally with experts, faculty, and peers.
  • Versatile Curricula. Students can choose electives and classes on campus as long as they take the core requirements.

How to Pick the Best Data Analytics Master’s Degree for You

Before choosing a program, you need to consider certain factors. Important elements to consider are tuition, accreditation, and flexibility.

Tuition

Tuition is one of the main factors to consider before choosing a program. It is important to know the cost to determine if you can afford it. Generally, public schools are cheaper than private schools. Some schools offer financial aid like scholarships. These can help to alleviate the sometimes hefty costs of pursuing a master’s degree.

The tuition information is easily found on the school’s website. If it isn’t there, a quick search on the school website can lead you to the page. If you’re still unable to find it, then you can contact the admissions team.

Accreditation

Accreditation means a school has been reviewed, vetted, and authorized to distribute degrees and certificates. It shows that the school meets the requirements of the accrediting body. Employers recognize a degree from an accredited school and you can only receive federal financial aid if you attend an accredited institution.

Flexibility

If you have chosen an online program for your degree, then you need to check how flexible the program really is. Verify which courses are synchronous versus asynchronous. Flexibility is the main reason most students choose online learning. Check the online learning schedule to see if it fits with yours.

How Much Can You Earn With a Data Analytics Master’s Degree?

According to the Bureau of Labor Statistics, data analysts and other operations research analysts earn an average salary of $86,200. With a master’s degree, you have the potential to earn more than this. Employment in this field is expected to grow by 25 percent over the next decade, which is a lot faster than average.

The Top Data Analytics Master’s Degree Careers

Profession Average Salary
Machine Learning Scientist $134,000
Machine Learning Engineer $130,530
Data Architect $132,617
SQL Server Architect $132,005
Data Engineer $121,938
SQL Database Administrator $101,571
Statistician $97,643
Operations Research Analyst $87,744
Data Analyst $67,294

Why You Should Study Data Analytics in 2021

Studying data analytics will give you the skills needed to extract, manipulate, and analyze data. You will also learn how to transform data into models to solve business challenges for organizations.

If you have a flair for statistics and data analytics, pursuing a Master’s Degree in Data Analytics is worth it. Getting this degree will improve both your job prospects and your earning potential.

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