Business Analytics , Data Analytics Master’s program at George Mason University

The Master of Science in Data Analytics Engineering (MS) program at George Mason University is designed to provide a comprehensive education in data analytics for professionals from diverse backgrounds like engineering, business, computer science, statistics, or information technology. Students require 30 credits to complete the degree in an online mode of study. It can be completed in two years.

Some Key Components of the MS in Data Analytics Engineering at George Mason University

•  Unlike many data analytics programs that focus solely on statistics or computer science, this program offers a multidisciplinary approach, incorporating knowledge from engineering, business, computer science, statistics, and information technology. This broad perspective equips graduates with a wider range of skills to handle complex data-driven challenges in various industries.
• The program can be completed in as few as two years, which is a faster track compared to some traditional data analytics programs that may take longer.
• The program offers flexible learning and accommodates both online and on-campus students, which is ideal for working individuals.
• MS in Data Analytics Engineering program offers diverse specializations in areas such as Business Analytics, Computational Linguistics, Cyber Analytics, Data Mining, Financial Engineering, and Health Data Analytics, allowing students to tailor their education to their career aspirations.
• A significant component of the program is the capstone project, which provides students with real-world project experience, enabling them to apply their learned skills to practical problems, thus preparing them for careers in data analytics or data science.
• The comprehensive curriculum includes courses in key areas such as data mining, information technology, statistical models, predictive analytics, optimization, risk analysis, and data visualization.
• The program is very affordable since it is priced at $27,900, making it a cost-effective option for individuals looking to advance in the data analytics field.
• This program stands out by not requiring the GRE or GMAT for admission. This can be particularly attractive to individuals with strong professional experience but lower standardized test scores, making the program more accessible
• The capstone project stands out as a critical feature, offering practical experience by allowing students to work on real-world problems, which is essential for those aiming to transition into roles as data analysts or data scientists.

The Master of Data Analytics program at George Mason University distinguishes itself through its multidisciplinary approach, flexibility, accelerated completion option, comprehensive curriculum, practical application, and affordability, making it an attractive choice for professionals seeking to advance their careers in the dynamic field of data analytics.

What makes George Mason University’s MS in Data Analytics Engineering unique?

The Master of Science in Data Analytics Engineering at George Mason University combines a multidisciplinary approach, drawing on engineering, business, computer science, statistics, and information technology. This contrasts it with programs such as the Master of Science in Data Analytics at Johns Hopkins University, which has a narrower focus on public policy and governance. The diverse specialization options of the program including Business Analytics, Cyber Analytics, and Health Data Analytics, provide a more targeted education compared to the more generalized curriculum of the Master of Science in Data Analytics at Tufts University. Additionally, George Mason's program offers a practical capstone project and an affordable tuition cost. This makes it a good choice for professionals seeking a comprehensive and adaptable path to advancement in data analytics.