“The 21st century is dominated by the quantity and influence of information and data. The ways we interact, how we innovate, and our national security depend on how well we can collect, manage, share, analyze, understand, present, and secure data. The breadth and depth of information available presents opportunities for creativity, entrepreneurship, and outreach that are global. The sheer quantity and our growing dependence also create grand challenges.
Our goal is to create an educational program that focuses on how information can be applied to solve real-world problems in academia, industry, and government; how engineering can integrate with a multitude of diverse disciplines to enable such solutions; and how we can secure the requisite data, software, and infrastructure.
Our goals are simple: to offer superior education in relevant engineering topics, combine this with outstanding offerings from across our great campus, and produce students who have world-class technical capability and immersion into a domain – whether intellectual or more applied – where it is needed. We believe that the future relies on these hybrid students, and that academia, industry, and government all crave this type of background.
To launch the Program, we are offering degrees that answer two of the Grand Challenges of Engineering: Cyber Security and Big Data. Recognizing that today’s problems cannot be solved through a singular field of study, the Informatics Program is also planning in the near future degrees that combine elements of engineering with medicine, business, communication, the arts, and law.
Information moves the world. Technology gives us power over information that is breaking barriers in every realm of life. Join VSoE’s Informatics and help us engage information to shape tomorrow.”
Master’s Program Offerings
|Master's Degree Programs|
|Applied Data Science|
|Communication Data Science|
|Cyber Security Engineering|
|Healthcare Data Science|
|Public Policy Data Science|
|Spatial Data Science|
|Graduate Certificate Programs|
|Big Data Fundamentals|