Master of Science in AI

Launching in Fall 2025, Master of Science in AI

The rapid adoption of artificial intelligence across industries and government is revolutionizing business practices, enhancing public services, and reshaping the workforce. As artificial intelligence transforms an increasing number of economic sectors, decision-making across the government, and daily life, there is a growing demand for professionals who can ethically design, interpret, and deploy artificial intelligence systems

Become an AI Innovator

Enroll in the Master of Science (MS) in Artificial Intelligence, a cutting-edge graduate program in the College of Engineering and Computing. Designed to equip the next generation of AI innovators, this program offers a solid, interdisciplinary education that blends foundational theory with real-world application, preparing graduates to address complex challenges in industry, government, and beyond.

Source: Website

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Responsible AI Graduate Certificate

The graduate certificate in Responsible AI provides students with the fundamentals of artificial intelligence (AI), how AI systems are architected, the principles of systems engineering as they relate to AI systems, theories of AI safety and risk, how to test and evaluate such systems to meet risk thresholds, and how to identify ethical, legal and regulatory issues that arise in such systems.

Students will be prepared to develop and manage complex systems with embedded AI, including identifying unique requirements for systems with embedded AI, testing and certifying these systems, and defining and maintaining safe levels of performance for deployed AI. Graduates will also be able to develop acquisition plans for complex systems with embedded AI, and develop AI maintenance programs including auditing. Areas of application include safety-critical physical systems like self-driving cars, air taxis and health applications, as well as software-based systems like financial and banking systems, and those that support education and research.

Source: GMU Catalog

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GMU Cyber Security Engineering Dept.

As more of the world’s business goes online, digital information has become a primary target, and demand for cybersecurity experts continues to rise. Our deep roots in technology and close ties with government and industry make our graduates highly valued.

We break down silos. Our cybersecurity education and research feature multiple fields of study that extend beyond technological requirements. Study includes a broad array of programs in multiple departments

An urgent need exists for a workforce with advanced technical skills in everything related to security and communications. the CEC’s computing, IT, and engineering programs, with their emphasis on cybersecurity, prepare students to create and maintain crucial information systems that will protect our nation from cyber threats with innovative knowledge and effective tools.

Source: Website

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DAEN – Data Analytics Engineering

George Mason University’s data analytics engineering programs at Volgenau prepare students for their future careers in a growing discipline.

All of our programs are taught by our industry-leading faculty members across schools and colleges in Mason, giving our students the ability to see the numerous possibilities a data-driven degree can offer.

  • Master of Science –– The MS in data analytics engineering is a multidisciplinary degree program at the Volgenau School of Engineering. It provides students with an understanding of the technologies and methodologies necessary for data-driven decision-making.
  • Certificate –– The graduate certificate in data analytics engineering gives students a foundation of basic data analytics and data science principles.
  • Master of Science Online –– The online MS program gives students the flexibility to earn an advanced degree and expand their knowledge in data analytics in an asynchronous format.
  • Certificate Online –– The online graduate certificate in data analytics engineering gives students a foundation of basic data analytics and data science principles with the flexibility of an online asynchronous format.

Data analytics engineering is an expanding field. Therefore, all our programs instruct students on current and innovative tools and prepare them to be adaptable to the future of the field.

 

Source: GMU

MASON GradEchoes4 Akash
Mason_GAPSA – 22/02/2024 (01:02)

https://www.youtube.com/watch?v=tHH6RQXryhQ&ab_channel=Mason_GAPSA

GAPSA’s Mason GradEchoes had the pleasure of interviewing Akash Manjunath Tulahalli, a master’s student majoring in Data Analytics Engineering at George Mason University. Originally from Bengaluru, India, Akash embarked on a journey to pursue his dream of studying in the USA. Now, on his 190th day in the country, he is documenting his experience through daily vlogs on his YouTube channel (https://www.youtube.com/@gotechakash?…. For Akash, coming to GMU and studying data analytics engineering is more than just an academic pursuit – it’s a dream come true. He expresses gratitude for the support he receives from his friends, family, and the broader community back in India, who have cheered him on every step of the way. At GMU, Akash finds himself immersed in a vibrant academic environment supported by a dedicated faculty and a diverse community of fellow students. He speaks highly of the Data Analytics Engineering program, emphasizing its comprehensive curriculum and the invaluable guidance and resources provided by professors and peers alike.

But Akash’s aspirations go beyond the classroom. He is passionate about leveraging his skills to make a positive impact and is committed to building a strong community centered around data-driven insights. Through his YouTube channel, he aims to engage and educate others, sharing his journey and inspiring fellow students to pursue their dreams.

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GMU DAEN

  • DAEN – Data Analytics Engineering DAEN – Data Analytics Engineering

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    Tim McAliley enhances data analytics education with professional expertise
    Mason News, Teresa M. Donnellan – January 17, 2025

    Tim McAliley has navigated a successful career in IT by staying agile and embracing continuous learning. Now, he’s teaching a course at George Mason University to connect data analytics engineering students with challenges set forth by local technology companies, facilitating their professional development alongside their academic growth. 

    McAliley’s journey from the Marine Corps to academia is a testament to his diverse experiences and dedication to continuous learning. Currently an adjunct professor at George Mason University, McAliley teaches a graduate capstone course in the Master’s in Data Analytics Engineering program, where his extensive real-world experience significantly enhances his teaching.

    McAliley’s career began in the Marine Corps before he earned a degree in political science and military science from Florida State University (FSU), graduating in December 1994. In 1999, he transitioned into the information technology (IT) field, earning his Microsoft Certified Systems Engineer certification while working at FSU’s Center for Academic and Professional Development. This certification marked the beginning of a successful career in IT, which included roles in enterprise file storage, network printing, and cloud solutions. Since 2012, he has worked at Microsoft as a cloud solution architect. His role involves various aspects of cloud deployments, including Azure and hybrid solutions.

    In addition to his professional career, McAliley has continued to pursue academic success, earning a master’s degree in information management systems from Harvard Extension School in 2023 and enrolling in George Mason’s Information Technology doctoral program this spring. He began teaching the data analytics engineering graduate capstone course in fall 2024. Balancing his full-time job at Microsoft, his teaching responsibilities, and his doctoral studies is no small feat, but McAliley approaches it with the same determination that has characterized his entire career.

     

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    George Mason University competes in 2023 FAA Challenge
    Mason News, CEC Communications – June 30, 2023

    Earlier this week, students from George Mason University’s data analytics engineering program competed in the 2023 FAA Data Challenge Forum, using AI strategies to navigate air travel solutions and improvements.

    Led by advisor Isaac Gang, associate professor in Mason’s College of Engineering and Computing (CEC), the team tied second place alongside Duke University for their proposal called Modernized Flight Risk Assessment Tool for General Aviation Pre-Flight Planning.

    “Congratulations to the Mason data analytics engineering program student team – Hunter Walden, Kathleen Hill, Chi Quinn, Erick Torres – and their advisor Dr. Isaac Gang for being one of 10 finalists selected to compete for the $25,000 top prize in the 2023 FAA Data Challenge Forum,” said Bernard Schmidt, acting director of the MS data analytics engineering program within CEC.

    The FAA Data Challenge focuses on the use of AI/Machine Learning and advanced analytics to address aviation-related problems and opportunities. The challenge provides an opportunity for university students to be involved in FAA’s mission, and offer creative, unique solutions for current and future challenges and serve as a pathway for students to become future transportation leaders.

    The challenge this year was held at the MITRE campus in McLean, Va.

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