Online Master's in Data Analytics

Today, data is all around us, helping organizations and individuals to improve their decision-making, increase their efficiency, gain insight into developing trends, and so much more.

If you are considering entering an analytics master’s program, you may be interested in pursuing a leadership role in the fields of data analytics, data management, data analysis, business data analysis, data research, or data operations. In just one year, our Master of Science in data analytics program can help you work to develop industry-relevant knowledge and skills to help you prepare to pursue for the next step in your career path.

As you work your way through our data analyst master’s program, you will be able to study skills needed to analyze data, evaluate data analysis methods and models, use data analysis and statistical techniques to support organizational goals, synthesize information from data, create visualizations that turn data analysis into actionable analytics, and create a strategic data analytics plan.

AIU’s Online Data Analytics Master's degree program can help you learn how to:

• Compare analytical methods and models.
• Analyze legal and ethical issues related to data analytics.
• Evaluate the process of modeling uncertainty.
• Evaluate and use processes of statistical interference.
• Evaluate regression models and their ability to identify relationships between variables.
• Evaluate the forecasting accuracy of time series patterns.
• Create training materials featuring legal, ethical, and social issues with the data analytics profession and related processes.
• Create data visualizations that communicate actionable analytics.

Why study data analytics?

The proliferation of data in all facets of modern life presents an opportunity for those interested in obtaining a master’s degree in data analytics. The U.S. Bureau of Labor Statistics projects employment of operations research analysts to grow 23% from 2021 - 2031.¹.

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¹ Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, Operations Research Analysts, at https://www.bls.gov/ooh/math/operations-research-analysts.htm (visited December 14, 2022). This data represents national figures and is not based on school-specific information. Conditions in your area may vary.

While many prospective students may wonder how long it takes to get a data analytics degree and how much a master’s in data analytics costs, there is no easy answer. Total tuition for the MSIT degree program with a concentration in Data Analytics may vary depending on your educational needs, existing experience, and other factors.

Use our Tuition & Graduation Date Calculator to get a tuition estimate and key dates for your MSIT degree.

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As you work through this industry-focused curriculum, you will have an opportunity to learn how to design, analyze, test, and implement systems. Our data analytics courses also allow you to explore software development management, global technology management, enterprise architecture, and technological innovations. As you study data analytics, you will have the opportunity to apply advanced technical communications throughout the program. Additionally, courses in this master’s in data analytics program focus on technical topics as well as legal and ethical issues.

As you work towards your online master’s in data analytics, you’ll be able to use industry software tools in our 100% online data analytics degree program. In our fast-paced program, you can get access to 24/7 tutoring, and proactive faculty support, with no additional book or tech fees. Courses in our data analytics master’s degree program cover a number topics in this field—and include a capstone course to help you bring all your skills together.

For an Online Data Analytics Master's Degree, your classes may include:

Advanced Data Analytics

This course will focus on advanced concepts, techniques, and strategies for data analysis. Students will have the opportunity to use techniques and strategies to solve organizational problems using a problem-based approach.

Ethical, Social, and Legal Issues in Analytics

This course is designed to provide students with key insights into the ethical, social, and legal issues pertinent to the data analytics field. Students will have the opportunity to explore ethical, social, and legal issues specific to a selected industry.

Executive Strategies and Actionable Analytics

This course is designed to provide students with strategies organization executives can use respective to data analytics. An additional focus is the transformation and presentation of data analysis results into actionable analytics.

System Analysis and Design

This course focuses on advanced concepts in systems analysis, modeling, system design, testing, and implementation. Models covered in this course can include dynamic, static, and structural. Students have the opportunity to learn and use Computer-Aided Software Engineering (CASE) tools.

Global Technology Management

This course focuses on the global nature of technology and the management of technology in the international business environment. Key concepts can include risk management, legal issues, ethical issues, cooperation, and competition.

Innovations and Emerging Media

This course is designed to provide students with the opportunity to learn about current information technology innovations and emerging media. Contemporary topics may include artificial intelligence, machine learning, blockchains, cryptocurrencies, IoT, autonomous vehicles, and digital media. Specific focus is placed on the resultant ethical, social, legal, and cultural issues such as net neutrality, broadband regulation, privacy, and intellectual property rights.

University Catalog

Course content subject to change.

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