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Take Charge as an Organizational Leader with a Master’s Degree in Data Analytics

Every organization needs leaders who can review key performance metrics, interpret the data, and develop effective strategies for improving organizational performance—which is exactly what you’ll learn to do with an M.S. in Data Analytics from CSU Global.

Completing your Master’s Degree program in Data Analytics will prepare you to inform crucial business decisions, guiding business development, marketing, IT, human resources, accounting, and other core business teams that benefit from research-driven strategies.

As a data analytics professional, you’ll be responsible for utilizing the latest industry-leading research tools to extract meaningful information from large data sets, and identifying, addressing, and providing sophisticated solutions to complex business challenges.

Your skills, abilities, and expertise will make you eligible for career opportunities in nearly any industry, from information technology to healthcare to advertising or pharmaceuticals.

If you want to help organizations keep up with rapidly evolving consumer demands and trends, and stay ahead of competitors, then consider earning your online Master’s in Data Analytics.


Career Outlook

CAREER LADDER Download the MSDA Career Ladder to see the job title and responsibility progressions from Entry Level to Executive/C-level.

15% GROWTH PROJECTED WITHIN THE FIELD Employment for Computer and Information Research Scientists is expected to grow significantly faster than the all-occupation average.

DATABASE SCIENTIST, OPERATIONS ANALYST, DATABASE ARCHITECT Three titles you might obtain with an online Master’s Degree in Data Analytics.

$122,840 ESTIMATED ANNUAL SALARY According to the BLS, the average annual salary for Computer and Information Research Scientists is more than $122,000.

Data Analytics Responsibilities

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CSU Global and SAS have teamed up to create four Academic Badges. Expand your opportunities with SAS skills demonstrating to employers that your knowledge of analytics goes beyond theory and into application.


Watch a Quick 2-Minute Overview

This quick video covers a variety of topics, including:

  • Why you should consider getting an M.S. in Data Analytics.
  • What you’ll learn in our online Master’s Degree in Data Analytics.
  • Why you should pick CSU Global’s Data Analytics Degree program.

What Will You Learn From Our M.S. in Data Analytics?

Getting your Master of Science in Data Analytics from CSU Global will prepare you to assume the role of an organizational leader by training you to use business intelligence and data analytics.

As a graduate from CSU Global’s online MSDA program, you’ll build confidence by developing improved decision-making skills that allow you to help steer a variety of core business functions, including accounting, finance, logistics, management, and strategy.

Our data analytics program will help you master the application of business intelligence solutions and data analytic principles so you can become a valuable organizational asset in a range of industries.

The technical topics you study will prepare you for a number of data-related responsibilities, including vital roles like:

  • Data warehousing.
  • Data mining and visualization.
  • Business analytics.
  • Predictive analytics.
  • Enterprise performance management.

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Skills You’ll Develop in Our Online Master’s Program in Data Analytics

CSU Global’s online Data Analytics graduate program will help you develop both hard and soft skills needed to get the career you want, while also providing you with the knowledge, insight and confidence necessary for achieving long-term growth in organizational leadership positions.

After successfully completing our online M.S. in Data Analytics, you’ll be equipped to:

  • Practice ethical standards of data handling in analytics.
  • Apply policies and procedures to ensure the privacy and security of data.
  • Analyze large data sets.
  • Employ data analytic solutions for business intelligence and forecasting.
  • Evaluate principles of predictive analytics to address business challenges.
  • Articulate analytical conclusions and recommendations in written, verbal, and visual formats.

Introduction to Data Analytics

In this CSU Global mini-course, you will get an introduction to our Data Analytics program and explore introductory data analytics ideas and career paths. You’ll also explore the learning platforms that CSU Global uses to help students succeed in taking 100% online courses.

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What Online Data Analytics Courses Will You Take?

CSU Global’s Master of Science program in Data Analytics requires the completion of 36 total credits, including a mix of Core Degree Courses and Degree Specialization Courses.

Classes Start Feb 14th

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Core Degree Courses (24 Credits)

  • RES500* Fundamentals of Quantitative Analysis
    This course explores four major components of research for graduate program: business research and descriptive statistics, fundamentals of accounting analysis, fundamentals of financial analysis, and decision making through statistical and logical methods. The course includes quantitative methods to support research methodologies. The course is not intended to provide an in-depth study of these components but provides basic knowledge to support intensive learning that will occur in the core courses of their programs. Course not eligible for Prior Learning Assessment (PLA) credit.
  • MIS500 Foundations of Data Analytics
    This course introduces students to the methodologies, techniques, and tools most commonly used in data analytics. These foundational methods are from the fields of statistics, operations research, and information systems. Topics include techniques and tools for visualization, inference, forecasting, optimization, simulation, and data mining. The emphasis is on exposing the student to the techniques and software tools that are used in the industry and will be used in the rest of the program.
  • MIS540 Introduction to Business Intelligence
    This course provides students with an overview of Business Intelligence (BI) for an enterprise, establishing the foundation for using data in cross-functional key areas, such as accounting, sales, production, customer data, and other elements, to assist with generating actionable intelligence data for decision making in order to achieve or maintain competitive advantage in the workplace and evaluate how well corporate key performance indicators are being met.
  • MIS510 Data Mining and Visualization
    This course will provide the basic framework for conducting various data and text mining methodologies, including logistic regression analyses, classical discriminant analyses, association rule, decision tree, support vector machine, neural networks, variable reduction, cluster analysis, text analytics, and web mining. In addition, this course teaches the essential and practical skills in visualization, including computer graphics, visual data representation, physical and human vision models, numerical representation of knowledge and concepts, pattern analysis, and computational methods. Recommended Prior Course: MIS500
  • MIS530 Predictive Analytics
    This course covers the fundamental predictive analytics and data mining approaches applied in business. It introduces basic concepts and techniques to discover patterns in data, identify variables with the most predictive power, and develop predictive models.
  • MIS541 Data Warehousing in Enterprise Environments
    This course provides students with an overview of data warehouses in an enterprise and how data is captured, analyzed, and translated into information to assist executives with streamlined information from disparate systems for effective decision making based on data for strategic and operational objectives in an enterprise.
  • MIS542 Business Analytics
    This course provides an overview of the tools and techniques for analyzing business data in order to develop comprehensive and functional solutions. Topics include forecasting, simulation, and data modeling for complex problem analysis in medium to large organizations.
  • MIS543 Enterprise Performance Management
    This course provides an in-depth understanding of how business intelligence aligns with the realization of organizational strategy. Topics include key performance indicators, organizational goals, and the role of effective management in meeting enterprise objectives.
  • MIS581 Capstone - Business Intelligence and Data Analytics
    This capstone course provides students with the opportunity to demonstrate competency on the key domains of business intelligence and data analytics. Students will learn to integrate concepts learned throughout the entire program and develop a comprehensive project in a specific domain of analytics, such as web analytics, social media analytics, big data analytics, or healthcare analytics. Prerequisite: All courses in the major. Course not eligible for Prior Learning Assessment (PLA) credit.
  • MIS595** Data Analytics Practicum
    This course is designed for students as an opportunity to demonstrate program outcomes learned in the Masters of Science in Data Analytics under the supervision of both faculty and organizational personnel. Assignments are designed to combine theory and professional practice and include weekly journals, a mid-term conference with the instructor, faculty practicum (coordinator, and on-site supervisor), as well as a final report reviewing the practicum experience. This course may not be available in all states; see the State Specific Authorization Policy Under Admissions Policies.

    Prerequisite 3 Core Courses. Course not eligible for Prior Learning Assessment (PLA) credit.

Prerequisites If you do not meet those conditions, you may qualify for provisional admittance. If so, you may be required to complete one or more of the courses below as prerequisites to the MSDA program coursework.

  • MIS470 Data Science Foundation
    This course provides an overview of the tools and techniques for analyzing data using statistics, R Programming, and SQL. Topics include data storage, linear regression, classification, linear models, tree-based learning, R programming, and SQL basic commands. (This course is also offered through SSA. Credits earned using this option will appear on transcripts with an “S” suffix.)
  • MIS407 Database Concepts
    The course covers the basics of relational databases, including basic terminology and concepts, database integrity, and normalization. The relational model will be examined in detail in order to appreciate database structure, integrity, and manipulation. Current relational database management systems will be explored and contrasted, as will basic relational database design and SQL programming. (This course is also offered through SSA. Credits earned using this option will appear on transcripts with an “S” suffix.)

*Master's Plus - Some M.S. in Data Analytics students may be required to take RES500 as part of their program if they have an undergraduate GPA below 3.00. In this case, the degree is 39 credits.

**MIS595 is an optional course that provides students with practical data analytics experience. This course may not be available in all states; see the State Specific Authorization Policy Under Admissions Policies.

Data Analytics Master's Degree Specialization (12 Credits)

When you earn your master's degree through CSU Global, you will customize it with a graduate specialization in a subject that matches your professional goals or personal interests. 

Most Popular Specializations:

Additional Available Specializations for this Program:

Download the Specializations Chart
View a list of all CSU Global specializations and the degree programs they can be paired with.


In addition to meeting CSU Global graduate admission standards, MSDA students must have an undergraduate degree with a major or concentration in one of the following:

  • Information systems
  • Information technology
  • Computer Science
  • Database management

Additionally, you will need to demonstrate that you have taken at least introductory courses in these three areas:

  • Computer programming
  • Database management
  • Statistics


If you do not meet those conditions, you may qualify for provisional admittance. If so, you may be required to complete one or more of the courses below as prerequisites to the MSDA program coursework.

  • MIS470 – Data Science Foundation
  • MIS407 – Database Concepts

To gain full admission, provisionally admitted students must complete their assigned prerequisite courses within 12 months of starting and achieve a minimum cumulative grade point average of 3.0. All coursework must also be completed with a grade of “C” or higher.

Frequently Asked Questions

Why Should You Consider a Master’s in Data Analytics?

Getting your Master’s Degree in Data Analytics may help you climb the career ladder, making you eligible for better, more leadership-oriented roles at organizations of all types, including private companies, public corporations, nonprofit organizations, and state and federal government agencies.

Data Analytics master’s programs prepare you to take charge as an organizational leader, informing crucial business decisions backed by metrics and research-driven strategies. 

As a Data Analytics professional, you may be responsible for mission critical tasks, including:

  • Using cutting-edge tools like SAS, Tableau, Rapidminer, SQL, and ETL to extract meaningful information from large data sets.
  • Identifying, addressing, and providing effective solutions to complicated business challenges.
  • Developing competitive business strategies and analyzing their results.
  • Directing company initiatives based on analytics.

Whether you already have experience in data analysis and business analytics, or you’re looking to enhance your resume to improve the chances of landing a more senior role in the field, getting your M.S. in Data Analytics may be an excellent way to improve your marketability.

What Can You Do With a Master’s Degree in Data Analytics?

Getting a Master’s Degree in Data Analytics will prepare you for a variety of research, advisory and strategy roles in any industry, ensuring you’ll bring value to any organization from day one.

The courses you complete will provide you with all the skills and abilities needed to take on the daily job duties required of data analytics professionals, who are commonly tasked with handling:

  • Data warehousing.
  • Data mining and visualization.
  • Business analytics.
  • Predictive analytics.
  • Enterprise performance management.

What Jobs Can You Get With an M.S. Degree in Data Analytics?

Your master’s courses in data analytics will hone your skills and abilities for utilizing business intelligence solutions to make better decisions, helping you to contribute to any business unit.

Completing your Data Analytics Master’s Degree will therefore improve your eligibility for assuming a variety of important advisory and leadership roles, with options for career advancement into positions like:

Can You Get an Accredited Data Analytics Master’s Degree Online?

Yes. CSU Global’s online Master’s Degree in Data Analytics is regionally accredited by the Higher Learning Commission—which has the highest accreditation standards and is only awarded following an investigation by independent, external auditors.

Regional accreditation proves that CSU Global:

  • Ensures that the degree prepares students for relevant careers in the field.
  • Provides financial and other assistance to students who want it.
  • Employs faculty members who are adequately qualified to teach their courses.
  • Uses ethical strategies to attract prospective students.

Our 100% online accredited Data Analytics program was designed to help you juggle education, work, and family responsibilities, with monthly class starts, accelerated eight-week courses, and no requirements for showing up at set times or physical locations.

Is a Master’s Degree in Data Analytics Really Worth It?

Yes. Completing a Master’s program in Data Analytics is a valuable investment in your career, and could play a significant role in helping contribute to your overall career advancement.

Whether you want to work for a private company, public corporation, nonprofit organization, federal, state or local government agency, the research, data analysis and decision making skills you hone in our M.S. in Data Analytics will prepare you to take charge as an organizational leader.

Earning your degree in data analytics may help you continue to climb the career ladder, no matter what industry you choose to work in.

Why Should You Choose CSU Global’s Online Master’s in Data Analytics?

Why should you consider getting your Master’s in Data Analytics online with CSU Global?

  • Our program is regionally accredited by the Higher Learning Commission.
  • Our program won a #3 ranking for Best Master’s in Data Analytics from Best Master’s Programs.
  • Our program can help you prepare for the responsibilities required by roles like Database Scientist, Operations Analyst, Database Architect, Enterprise Performance Analyst, Fraud Analyst and Database Analyst.
  • We’ve partnered with SAS, a worldwide leader in analytics, on four academic badges that can help students demonstrate a knowledge of analytics that goes beyond theory and into application. 

How much will my degree cost?

Tuition Rates

Your education should increase your earning potential, not your monthly bills.

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Financial Aid

You may be eligible to receive financial aid to help cover the cost of your education.

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Why You Should Earn Your Online Master’s Degree

Earning your online master’s degree through CSU Global provides you with more than just the diploma you need to get noticed. With an emphasis on real world concepts and career-relevant skills, you get training and experience along with your credit hours. Additionally, CSU Global strives to make your education as affordable as possible. With our Tuition Guarantee, your tuition rate won’t increase over time! Instead, you’ll enjoy the same low rate for the duration of your enrollment at CSU Global.

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Regional accreditation by the Higher Learning Commission (HLC) means your degree comes from a top quality, trusted university.


Prove your value to employers and stay competitive in the data analytics field as a SAS-certified professional.


Best Masters Programs ranked CSU Global #3 for Best Online Degree in Data Analytics.


In Best Colleges’ Schools of Distinction standings, CSU Global earns one of only 15 gold rankings, out of more than 2,000 online degree programs.


Guide to Online Schools identifies CSU Global as one of the top military-friendly online institutions.

#10 Best Online Master's in Data Science

Best Colleges ranked CSU Globals as #10 Best Online Master's in Data Science Programs

“The pride I have in achieving a Masters Degree from CSU Global provided me with the confidence to attain the career plan I had envisioned.”



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