Skip to content Skip to Live Chat

Master of Science

Online Master's in Data Analytics


Lead the Analytics Lifecycle with a Master's Degree in Data Analytics


Make your next career move and maximize your earning potential with WGU’s Master of Science, Data Analytics. This online degree program provides a depth of skills for your data analytics career in the following areas:

  • Data Analytics Lifecycle 
  • Data Science and Advanced Analytics Applications
  • Data Mining Techniques
  • Machine Learning 
  • Data Management
  • Business Influence

We use cutting-edge technology to help you learn about machine learning, modern analytic tools & languages (Python, R, SQL, and Tableau), and more! Additionally, this unique program allows you to choose from a range of datasets representing different industry-specific themes. Learn exactly what you want and need for your career!

Choose Your Specialization

The WGU data analytics program features 3 specialization options for students to choose from. The concentration areas allow students to dive deeper into their area of interest, better preparing them for their career goals. 

  • Data Science: This specialization focuses on machine learning, optimization of data, and advanced analytics understanding.
  • Data Engineering: This specialization focuses on cloud engineering, the processing of data, and analytics at scale.
  • Decision Process Engineering: This concentration focuses on project management, process optimization, and decision intelligence related to data analytics.

At WGU, we use a ‘three-lever’ approach to data analytics, surgically incorporating programming, math, and business influence skills throughout the program. Different roles in analytics will have different combinations of these levers. You will navigate to the role that best fits your interests & passions by selecting the concentration of your choice. Our game-changing approach to data analytics means that you will be equipped with the experience you need to create change and make an impact in any industry.

Unsure Which Specialization to Choose?

  • The data science specialization is ideal for those who want to focus on statistical and programming approaches in machine learning, neural networks, and numerical optimization. 
  • The data engineering specialization is ideal for those who want to support analytics through cloud-native databases, data processing, and analysis approaches. 
  • The decision process engineering specialization is ideal for those who want to implement business changes through project management, business process engineering, and decision intelligence. 

This data analytics degree program focuses on both theory and application, allowing you to “learn by doing” as you complete data analytics projects in stages, known as the data analytics lifecycle.

The Master of Science in Data Analytics program's core courses dive deeply into each of these lifecycle stages (sourcing data, cleaning data, data mining, descriptive & predictive analytics, and visualization). 

70% of graduates finish within 

23 Months*

WGU lets you move more quickly through material you already know and advance as soon as you're ready. The result: You may finish faster.

*WGU Internal Data

Tuition per six-month term is


Tuition charged per term—rather than per credit—helps students control the ultimate cost of their degree. Finish faster, pay less!


Certifications that may transfer


Your Oracle SQL Expert certification may waive course requirements.



Ready to Start Your WGU Journey?

Next Start Date: August 1

Start Dates the 1st of Every Month


Data Analytics Courses

Program consists of 11 courses

At WGU, we design our curriculum to be timely, relevant, and practical—all to help you show that you know your stuff.

The WGU M.S. Data Analytics degree program was designed, and is regularly updated, with input from the experts on our Data Analytics Advisory Board. This ensures that you learn best practices for the latest developments in data analytics.

This data analytics degree program is composed of the following courses. You will typically complete them one at a time as you make your way through your program, working with your Program Mentor each term to build your personalized Degree Plan. You’ll work through each course as quickly as you can study and learn the material. As soon as you’re ready, you’ll pass the assessment, complete the course, and move on. This means you can finish as many courses as you're able in a term at no additional cost.

The M.S. Data Analytics degree program is an all-online program that you will complete through independent study with the support of WGU faculty. You will be expected to complete at least 8 competency units (WGU's equivalent of the credit hour) each 6-month term. (Each course is typically 3 or 4 units). There’s no limit on the number of units you can complete each term, so the more courses you complete, the quicker you can finish your program.

This program features 3 specializations for you to choose from, with unique courses and capstone in each focus area. This allows you to gain specific skills and gain experience in your chosen area, preparing you to enhance your résumé and meet your career goals. 

Foundational Courses Taken Across All Specializations

Data Analytics

Courses in the Data Science Specialization

Data Science

Courses in the Data Engineering Specialization

Data Engineering

Courses in the Decision Process Engineering Specialization

Decision Process Engineering
IT Management

11 Courses

Program consists of 11 courses

At WGU, we design our curriculum to be timely, relevant, and practical—all to help you show that you are competent in your area of study. In this program you will have unique course options depending on your specialization choice.

Capstone Project

Special requirements for this program

At the end of your unique program, you will complete a capstone project that represents the culmination of all your hard work—this project consists of a technical work proposal, the proposal’s implementation, and a post-implementation report that describes the graduate’s experience. 

Skills For Your Résumé

As part of this program, you will develop a range of valuable skills that employers are looking for. 

  • Communication: Utilized storytelling techniques to effectively influence, inform, or motivate target audiences.
  • Python (Programming Language) : Developed modular scripts using Python.
  • SQL (Programming Language): Manipulated data effectively using structured query language (SQL) statements, facilitating data retrieval, manipulation, and analysis.
  • Data Analysis: Proposed innovative data analytics approaches for resolving complex problems, leveraging data-driven insights to inform decision-making and achieve desired outcomes.
  • Critical Thinking: Applied logical reasoning skills to address real-world problem-based inquiries.
  • Data Engineering: Engineered efficient and scalable data pipeline solutions.

“I just completed my master's program at WGU, and overall I had a very positive experience. The online degree program was extremely flexible, and that was critical for my success in the program because of other work and family demands. The program mentors were just as flexible and provided helpful guidance along the way, and I feel like I learned a lot during the program. Also, the cost for the program was very reasonable, and they even worked with my employer to provide a tuition discount and deferral program. I would definitely recommend WGU!!”

M.S. Data Analytics

WGU vs. Traditional Universities
Compare the Difference

Traditional Universities


AVG. cost


Included with your tuition cost


Per credit hour

Flat rate per 6-month term


Schedule and wait days or even weeks to meet with one of many counselors

Simply email or call to connect with your designated Program Mentor who supports you from day one


Scheduled time

Whenever you feel ready


Professor led lectures at a certain time and place

Courses available anytime, from anywhere


Approximately 2 years, minimal acceleration options

As quickly as you can master the material, typically less than 2 years

*The cost of valuable industry certification exams can range from $150 to $400. At WGU, we offer vouchers for certification exams, so the cost is included in your tuition price. Students may have to pay some fees for membership to complete their certification requirements.

Traditional Universities


AVG. cost


AVG. cost

Included with your tuition cost


Per credit hour


Flat rate per 6-month term


Schedule and wait days or even weeks to meet with one of many counselors


Simply email or call to connect with your designated Program Mentor who supports you from day one


Scheduled time


Whenever you feel ready


Professor led lectures at a certain time and place


Courses available anytime, from anywhere


Approximately 2 years, minimal acceleration options


As quickly as you can master the material, typically less than 2 years

*The cost of valuable industry certification exams can range from $150 to $400. At WGU, we offer vouchers for certification exams, so the cost is included in your tuition price. Students may have to pay some fees for membership to complete their certification requirements.

Why WGU?

Earning Potential

According to a 2023 Harris Poll, just two years after graduation, WGU grads report earning $22,200 more per year, and that amount increases to $30,300 four years after graduation.

On Your Schedule

No class times, no assignment deadlines. You are in charge of your learning and schedule. You can move through your courses as quickly as you master the material, meaning you can graduate faster.

Entirely Online

The data analytics master's degree at WGU is 100% online, which means it works wherever you are. You can do your coursework at night after working at your full-time job, on weekends, while you're traveling the world or on vacation—it's entirely up to you.

Accredited, Respected,

One important measure of a degree’s value is the reputation of the university where it was earned. When employers, industry leaders, and academic experts hold your alma mater in high esteem, you reap the benefits of that respect. WGU is a pioneer in reinventing higher education for the 21st century, and our quality has been recognized.

“Analytics is the creative use of data and statistical modeling to tell a compelling story that not only drives strategic action, but also results in business value”

-Joe Dery, Dean of Data Analytics, Computer Science, and Software Engineering | WGU


Data Analytics Certificates Included in this Degree


Completing this degree program includes several WGU certificates, including one in each of our specialization areas. Earning certificates on the path to your degree gives you the knowledge, skills, and credentials that will immediately boost your résumé—even before you complete your degree program.

  • Data Analytics Professional Certificate
  • Data Operations Certificate
  • Data Science Professional Specialization (in the Data Science concentration)
  • Decision Process Engineering Professional Specialization (in the Decision Process Engineering concentration)
  • Data Engineering Professional Specialization (in the Data Engineering concentration)


An Affordable Online Data Analytics Degree

By charging per six-month term rather than per credit—and empowering students to accelerate through material they know well or learn quickly—WGU helps students control the ultimate cost of their degrees. The faster you complete your program, the less you pay for your degree.

Tuition Calculator
Pay less by completing your program faster

A College Degree Within Reach

There is help available to make paying for school possible for you:

The average student loan debt of WGU graduates in 2022 (among those who borrowed) was less than half* the national average.

Most WGU students qualify for financial aid, and WGU is approved for federal financial aid and U.S. veterans benefits. 

Many scholarship opportunities are available. Find out what you might be eligible for.

*WGU undergraduate students have approximately half the debt at graduation compared to the national average, according to the Institute for College Access and Success (2022).


A Different Way to Learn: Degree Programs Designed to Fit Your Life—and All the Demands on Your Time

Professional responsibilities. Family obligations. Personal commitments. At WGU, we understand schedules are tight and often unpredictable for adult students. That’s why we offer a flexible, personalized approach to how education should be. No rigid class schedules. Just a solid, career-focused teaching program that meshes with your current lifestyle. You'll be challenged. You'll work hard. But if you commit yourself and put in the hours needed, WGU makes it possible for you to earn a highly respected degree as a busy working adult.

"I have dreamed about completing my master's degree for many years now and it became a reality only because of WGU. I am so thankful to WGU administration. Many thanks to my mentors and course instructors along the way. Thank you so much WGU!!!”

—Naga Satya Srivani
M.S. Data Analytics


Data Leadership Careers Start with a Master's Degree in Data Analytics

When properly analyzed, every transaction—commercial, medical, social, or academic—can help lead to better business decisions and outcomes in your industry. WGU is key in helping you gain the critical skills and experience you need to thrive in your professional sector. Increase your earning potential, boost your résumé with valuable credentials, and find a career you love with the help of a data analytics master's degree.

From healthcare to entertainment, every industry is going digital. Organizations need experts who can maximize that data. When you’ve completed your data analytics degree program online, your skills will already be in high demand. The knowledge and techniques you’ll gain as you complete your degree will provide you with all the tools necessary for a successful career.

Return on Your Investment

On average, WGU graduates see an increase in income post-graduation

Average income increase from all degrees in annual salary vs. pre-enrollment salary. Source: 2023 Harris Poll Survey of 1,655 WGU graduates.

Survey was sent to a representative sample of WGU graduates from all colleges. Respondents received at least one WGU degree since 2017.


The number of positions for data scientists is projected to grow by an astounding 36% from 2021 to 2031.

—U.S. Bureau of Labor Statistics

Learn About All the Job Opportunities in Data Analytics

Students who earn a master’s degree in data analytics will be prepared to maximize leadership opportunities in a variety of careers. Choosing a specialization will allow students to focus on their specific career goals, gaining skills and experience that will prepare them to meet industry needs. Learn more about specific career opportunities within each specialization.

Data Science
  • Data Scientist
  • Data Analyst
  • Machine Learning Data Scientist
  • Machine Learning Engineer
  • Optimization Analyst
Data Engineering
  • Data Analytics Architect
  • Analytics Engineer
  • Data Quality Analyst
  • Data Engineer 
  • Data Analyst
Decision Process Engineering
  • Data Analyst
  • Business Analyst
  • Data Analytics Consultant
  • Decision Analyst
  • Program Management Analyst

WGU Grads Hold Positions With Top Employers


Data Analytics Admissions Requirements

To be considered for enrollment in this program, you must:

1. Possess a bachelor’s degree in a STEM field (see refined list)


2. Possess any bachelor’s degree plus ONE of the following:

  • Completed college-level coursework in statistics and computer programming with a grade of B- or better
  • At least two years of work experience in a data analytics, data science, data engineering, or database administration role
  • A current and active third-party certification in data analytics, data science, or data engineering from this list:
    • CompTIA Data+
    • DASCA Associate Big Data Engineer
    • DASCA Senior Big Data Engineer
    • Udacity Data Analyst Nanodegree
    • Udacity Data Scientist Nanodegree
    • Udacity Data Engineering with AWS Nanodegree
    • Associate Certified Analytics Professional (aCAP)
    • Certified Analytics Professional (CAP)
    • Cloudera Data Platform (CDP) Data Analyst
    • Microsoft Certified Data Science Associate
    • SAS Certified Advanced Analytics Professional

NOTE: You do not need to take the GRE or GMAT to be admitted to this program. Learn why we don't require these tests.

Get Your Enrollment Checklist

Download your step-by-step guide to enrollment.

Get Your Questions Answered

Talk to an WGU Enrollment Counselor.

Transfer Credits

FAQs about Master's in Data Analytics Programs

You should speak with an Enrollment Counselor. WGU can often provide advice or resources to help a prospective student fulfill enrollment prerequisites.

When you enroll in a WGU degree program, our goal is to see you through to graduation. Admission requirements are designed to increase your likelihood of success. Years of data and experience with the nontraditional students WGU serves have shown us how various types of academic and professional experience can be highly important in helping a student persist to graduation. Industry certifications are one of many ways a student can meet eligibility.

WGU has an obligation to our graduates—and their current and future employers—to ensure WGU alumni have mastered the most up-to-date, current competencies and skills needed in the workplace. Recency of certifications helps us ensure that students have demonstrated competency in skills as they are needed in today's working world.

As a full-time student, you will be required to maintain a minimum pace of 12 competency units (CUs) per term for undergraduate programs or 8 CUs per term for graduate programs. However, there is no maximum speed—once you complete a course, you move immediately to the next, and you complete a course not by waiting for the syllabus, the professor, or the rest of the class. You progress by learning the material and proving it—so you can move through your coursework at the speed of your own learning and experience.

Instructors are highly educated, experienced experts in the subject matter of a course. Unlike in a traditional university where going to class means listening to an instructor lecture while you take notes and try to learn in a group setting, WGU's Instructors provide one-on-one instruction and support when you need it—tailoring the instruction to your precise needs when you need it. Instructors also provide additional resources, lead topical discussions in online communities, and find countless other ways to bring a specific course to life for students.

Absolutely. Data makes our world go round, and every business in every industry needs data to help make decisions. You can work in any field with the help of a degree in data analytics. A master's in data analytics will prepare you to convert raw data into meaningful information that can help business leaders make decisions. Become a great influence with the help of an master's degree in data analytics.

An MS in data analytics is a Master of Science in Data Analytics. This degree helps students learn how to do the many tasks associated with taking raw data and turning it into meaningful information. This includes data mining, programming, analyzation, and more.

A master's degree in data science or data analytics is a great option for IT professionals who are looking to take their career to the next level. Experience in the IT field will be extremely helpful as you pursue a master's degree in data analytics. If you're looking to start a career in IT, a bachelor's degree or certifications can help you begin.

Common careers for those with a master's degree in data analytics include:

  • Data analyst
  • Business analyst
  • Data engineer
  • Business intelligence analyst
  • Information research scientist
  • Advanced analytics expert

A master's degree in data science or data analytics can be challenging, but if you have a solid background and understanding in IT, you'll be able to excel. Experience, education, and certifications in IT can help you be better prepared for this master's degree.

Data Analytics Advisory Board Members

  • Boaz Hillebrand, Senior Data Manager, Talent Acquisition – Expedia Group
  • John Smits, VP of Worldwide Revenue Operations – Juniper Networks
  • Ken Yu Zhang, PhD, Executive Director of Research Technology Data Science – Morgan Stanley
  • Mandy Plante, former Senior Director of Global Analytics – eBay
  • Mohican Laine, Customer Engineer, Google
  • Nolan Hill, SVP of HR Analytics & Data Governance – Bank of America
  • Stephen Gatchell, Director of Data Advisory – BigID
  • Martijn Theuwissen, CCO and Co-Founder of DataCamp

Ready to Start Your WGU Journey?