Master’s Degree in Applied Data Analytics

Total Courses

$420

Cost per Credit

1.5 years

Average Completion*

15 Hours/Week

Course Effort

MS in Applied Data Analytics Overview

Companies are collecting and producing more data than ever before. That means professionals who can skillfully manage data and take valuable insights from it are in high demand. Gain expertise across the analytics life cycle and prepare for new career opportunities.

Complete your degree 100% online
Elevate your career as a data analyst, data engineer, business intelligence analyst, IT systems analyst, big data software developer, and more
Enjoy hands-on learning experiences and prepare for relevant professional certifications
Choose one of seven concentrations to specialize your degree

Move Your Career Forward

In this applied data analytics graduate program, you’ll gain the technical, communication, and leadership skills that will help you stand out to employers. With guidance from experienced professors, you’ll learn the latest developments in AI and machine learning technology to ensure you add value to the workplace from day one.

Proven, Data-Driven Student Outcomes

Earn your master’s degree in data analytics online with confidence. Review College Scorecard data for this program.

View Program Degree Plan and Policies

Learn from practicing professionals with extensive experience in data analytics and education.

Purdue Global's curriculum is regularly reviewed by industry experts, ensuring you’re well-prepared for today's challenges.

The HLC (HLCommission.org) is an institutional accreditation agency recognized by the U.S. Department of Education.

Estimate how much your prior learning credits can reduce your tuition and time to graduation.

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What Courses Will I Take?

Purdue Global’s courses prepare you for leadership roles in the dynamic field of data analytics. AI and machine learning are woven throughout the curriculum so you’re up-to-date on emerging trends and ready for real-world problem solving.

Sample Courses

Introduction to AI
Security for Analytics
Data Visualization and Knowledge Representation
Data Curation
Advanced Machine Learning and Artificial Intelligence
Advanced Deep Learning

See All Data Analytics Courses

Open Electives

This program includes open electives to help you shape your degree. If you’re new to data analytics, you can use your electives for foundational courses and build your knowledge as you go, while current data and STEM professionals may opt for a more advanced master’s degree concentration.

Program Requirements

Core Courses

Elective Courses

Total Courses

Total Quarter Credits

1 semester credit hour = 1.5 quarter credit hours

Admissions Requirements

A bachelor’s degree is required to enroll in a graduate program. You will need to provide an official transcript that shows completion of your bachelor’s degree from an accredited institution, though an unofficial copy may be provided during the application process. Refer to the University Catalog or speak to an Advisor to learn more.

View Admissions Requirements

Master's in Applied Data Analytics Degree Concentrations

Focus your expertise by adding a concentration that aligns with your professional and academic goals. This option is great if you’re a data analytics or STEM professional who wants to strengthen your knowledge and skills in a particular area.

Amazon Web Services (AWS) Cloud Technologies

Gain advanced knowledge of AWS Academy cloud foundations, architecting, operations, and data analytics.

Blockchain Technologies and Apps

Study essential blockchain and smart contract technologies that serve as the foundation for Web 3.0, the next generation of the internet. Gain the specialized skills you need to develop decentralized applications (dApps).

Critical Infrastructure Security

Study protective procedures such as firewalls, network detection and response (NDR), and endpoint detection and response (EDR). Learn how to defend important infrastructure including systems, networks, and assets.

Cybersecurity

Develop your skills in ethical hacking, network defense, cryptography, computer forensics, and IT security auditing and assessments.

Enterprise Architecture Systems

Study key IT systems relevant to corporate enterprise networks. Deepen your understanding of the structure and operation of organizations to help them achieve their objectives.

Project Management

Learn the major aspects of project management, including strategic project selection, initiation, planning, execution, monitoring, and closing.

Secure Software Development and Quality Assurance

Build expertise in secure software design, algorithms, secure coding, security and system testing, software testing, and quality assurance.

Amazon Web Services (AWS) Cloud Technologies
- Gain advanced knowledge of AWS Academy cloud foundations, architecting, operations, and data analytics.
Blockchain Technologies and Apps
- Study essential blockchain and smart contract technologies that serve as the foundation for Web 3.0, the next generation of the internet. Gain the specialized skills you need to develop decentralized applications (dApps).
Critical Infrastructure Security
- Study protective procedures such as firewalls, network detection and response (NDR), and endpoint detection and response (EDR). Learn how to defend important infrastructure including systems, networks, and assets.
Cybersecurity
- Develop your skills in ethical hacking, network defense, cryptography, computer forensics, and IT security auditing and assessments.
Enterprise Architecture Systems
- Study key IT systems relevant to corporate enterprise networks. Deepen your understanding of the structure and operation of organizations to help them achieve their objectives.
Project Management
- Learn the major aspects of project management, including strategic project selection, initiation, planning, execution, monitoring, and closing.
Secure Software Development and Quality Assurance
- Build expertise in secure software design, algorithms, secure coding, security and system testing, software testing, and quality assurance.

Upcoming Start Dates

We offer multiple start dates to give you flexibility in your education, life, and work schedules.

Program Outcomes Support Your Career Growth

The program provides advanced-level knowledge in data analytics. Coursework prepares you to:

Apply current statistical theories, tools, and processes to curate, manipulate, and present various forms of data.
Effectively process data that supports data-informed decisions.
Work across the analytics life cycle, which includes data discovery, data aggregation, planning of the data models, data model execution, communication of the results, and operationalization.

Stand Out with Both Tech and Professional Skills

At Purdue Global, we believe that professionalism is critical to career success. Support your data and STEM expertise with additional skills that employers value such as:

Communication
Teamwork
Leadership
Problem-solving
Critical thinking
Personal presentation
Multiculturalism and diversity

Ways to Save on Time and Tuition

Purdue Global works with students to find ways to reduce costs and make education more accessible. Contact us to learn about opportunities to save on your educational costs.

Transfer Credits

Earn credit for prior coursework completed at eligible institutions.

Financial Aid

Learn about federal financial aid programs available for many of our degree programs.

Grants and Loans

Learn about federal and state grants and loan programs that may be available.

Corporate Partner Benefits

Employees of Purdue Global partner organizations may be eligible for special tuition reductions.

Military Tuition Reduction

Graduate tuition savings for military include a 17–30% reduction per credit for current servicemembers and, 14% per credit for veterans for graduate programs.

Prior Military Experience

Earn credit for your military training. We offer credit for ACE-evaluated training and CLEP and DANTES examinations.

View the total cost of attendance for your program.

General labor market and salary data are provided by Lightcast and may not represent the outcomes experienced by Purdue Global graduates in these programs. Purdue Global graduates in these programs may earn salaries substantially different or less than the amounts listed above. Salary and employment outcomes vary by geographic area, previous work experience, education, and opportunities for employment that are outside of Purdue Global's control.

Purdue Global does not guarantee employment placement, salary level, or career advancement. Additional certification or licensing may be required to work in certain fields.

See Notes and Conditions below for important information.

Download our brochure to learn more about the Master of Science in Applied Data Analytics and the benefits of earning your degree at Purdue Global.

View Brochure

100%

IT faculty members who have advanced degrees

36%

IT faculty members who hold a doctorate

484

Faculty publications in 2022–2023

More Than 40,000

Professional development hours logged by faculty in 2022–2023

Advanced and Doctoral Degrees: Statistics include all Purdue Global IT faculty members. Source: Purdue Global Office of Reporting and Analysis, May 2022.
Publications and Development Hours: Statistics include all Purdue Global faculty members and are not school- or program-specific calculations. Source: Purdue Global Office of Reporting and Analysis, July 2023. 2022–2023 academic year.

Your Path to Success Begins Here

Connect with an Advisor to explore program requirements, curriculum, credit for prior learning process, and financial aid options.

Connect with an Advisor Apply Online Today

NOTES AND CONDITIONS

*Estimated Graduation Date and Average Completion: Estimated graduation date is based on the assumption that you will enroll in time to begin classes on the next upcoming start date, will remain enrolled for each consecutive term, and will maintain satisfactory academic standing in each term to progress toward completion of your program. Completion time is based on a full-time schedule. Programs will take longer for part-time students to complete.

Credit for Prior Learning: Purdue Global does not guarantee transferability of credit from any of these sources. See the University Catalog for the Prior Learning policy.

Employment and Career Advancement: Purdue Global does not guarantee employment placement or career advancement. Actual outcomes vary by geographic area, previous work experience and opportunities for employment. Additional certification or licensing may be required to work in certain fields.

Financial Aid: Financial aid is available to those who qualify. Financial aid awards vary depending on individual student eligibility and need.

Job Growth—Data Scientists and Computer Information Systems Managers: Source: U.S. Department of Labor, Bureau of Labor Statistics, Occupational Outlook Handbook, Data Scientists, www.bls.gov/ooh/math/data-scientists.htm; and Computer and Information Systems Managers, www.bls.gov/ooh/management/computer-and-information-systems-managers.htm. National long-term projections may not reflect local and/or short-term economic or job conditions, and do not guarantee actual job growth.

Online Master's Degree in Applied Data Analytics