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George Mason University Online MS in Applied Information Technology - Data Analytics and Intelligence Methods Concentration
George Mason University Online

MS in Applied Information Technology - Data Analytics and Intelligence Methods Concentration

Fairfax, USA

2 Years

English

Full time, Part time

Distance Learning

Key Summary

    About: The MS in Applied Information Technology with a concentration in Data Analytics and Intelligence Methods focuses on key disciplines in data analytics. This program equips students with essential skills in data analysis, machine learning, and data-driven decision-making, designed to meet modern industry demands.
    Career Outcomes: Graduates can pursue careers as data analysts, data scientists, or business intelligence analysts. Roles may be found in sectors such as technology, finance, healthcare, and consulting, where data insights are critical for strategic planning and operational improvements.

Introduction

Learn a rich array of methods for analyzing data and converting it into actionable intelligence for business decisions. Masonโ€™s expert faculty will immerse you in courses focusing on statistical methods, data mining, and other concepts at the intersection of IT and data analytics.

Online Courses Designed with IT Employers in Mind

Mason developed the MS in Applied Information Technology with guidance from leading employers in our community. As a result, youโ€™ll experience an online IT education that instills expertise sought by organizations across the public and private sectors. Youโ€™ll learn about emerging areas of information science and technology, gaining skills for deploying ethical, secure solutions to global IT challenges. And if youโ€™re a Mason Engineering alumnus, you can select our Fast Track option to graduate faster.

The core and concentration courses include:

Fundamentals of Computing Platforms

Get an overview of the OS and networking elements of information systems, examining the issues relating to mobile devices, cloud networks, and other platforms.

Cloud Computing Security

Survey the security and privacy risks found in cloud computing while learning best practices for securing these systems.

Big Data Essentials

Explore emerging concepts and technologies used in big data analytics, along with methods for applying them in real-world environments.

Interpretable Machine Learning

Prepare to implement and evaluate the major machine learning models and learn how prediction models work.

About the School

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