Centrally Located, Endless Opportunities
The data analytics engineering program (DAEN) is a multidisciplinary program housed in the College of Engineering and Computing, a premier college focused on providing its graduates with world-class faculty, innovative teaching, and research tools, and producing the next generation of engineers and computing professionals.
Make Your Mark in a Growing Field
The DAEN program offers a large and flexible set of courses across the schools of engineering and computing along with classes from Mason's School of Business and College of Public Health. This program is unique to other data science and data analytics programs in that its focus is on engineering, industry partner capstones, and collaborative engineering team approaches to problem-solving.
Program graduates are a blend of data engineers, data architects, data scientists, and machine learning engineers. These roles are in high demand across many industry domains, and the program flexibility enables graduates to tailor their degree knowledge to their current and future career objectives.
Industry needs, the DAEN industry advisory board, and our partners drive the program's objectives and provide feedback to evolve the program. Whether studying online or in person, our program is of great value to our graduates through our location, career opportunities, faculty, and curriculum.
Our faculty are experts in their field and bring their working knowledge into the classroom for a unique learning experience.
Our graduates will lead "the measurement revolution," making sense of the massive amounts of data generated in the digital age. Most departments are represented in the field, enabling students to select a degree that best fits their interests and skills.
As a data analytics engineering student, you can enjoy the best of both worlds: a beautiful, wooded campus in a metropolitan area rich with opportunities. You will also have access to internships, jobs, research, and entertainment that only a city like Washington, D.C., can provide.