Rate My Professor Bernard Schmidt

Bernard Schmidt serves as an Instructor in the Data Analytics Engineering master's program and Assistant Director of the MS Data Analytics Engineering Program within George Mason University's College of Engineering and Computing. He joined the CEC faculty in the Fall of 2020, transitioning from Northern Virginia Community College where he was a professor of Information Technology and Assistant Dean for Information Technology and Computer Science at the Manassas campus. Prior to entering academia, Schmidt accumulated over 35 years of experience in the computing industry. His early career focused on computer operations and programming of IBM mainframes, which evolved into research on computer image processing algorithms for multi-sensor-aided target recognition at the Army’s Night Vision Laboratory. Subsequently, he advanced through various technology and management roles at prominent Northern Virginia organizations, including Oracle Complex Systems, Cordant, IBM, ORBCOMM, Sprint, Battelle, and Prison Fellowship Ministries. Throughout his professional journey, Schmidt has demonstrated extensive expertise in project management for complex initiatives spanning software development, systems engineering, and infrastructure projects.

Schmidt's academic credentials include an MS in Data Analytics Engineering from George Mason University, an MS in Applied Information Technology from George Mason University, a BS in Computer Science from George Mason University, and an AS in Data Processing and Accounting from Champlain College. His research interests range from software development to systems and infrastructure engineering. In his current roles at George Mason University, Schmidt teaches and mentors graduate students in data analytics engineering, leveraging his deep industry background to bridge theoretical concepts with practical applications in data-driven technologies, software systems, and engineering infrastructures. His contributions support the program's emphasis on preparing professionals for advanced roles in data analytics and engineering fields.