Cyber Intelligence and Security
In a threatened world, information may be the most vulnerable asset. Precious data, vital to industry and government agencies, is at risk. Trained in reality-based scenarios through the Cyber Intelligence and Security program at Embry-Riddle, you’re ready to defend the people, data, software, and networks that keep the world safe and productive. Embry-Riddle is where you can develop technical skills in disciplines from cryptography to data mining to computer forensics. The Air Force’s Cyber Command, the Navy’s 10th Fleet, law enforcement, and companies on the cutting edge of information technologies are just a few of the possible destinations for alumni with this degree. The rapidly-growing field of cyber security is calling for reinforcements. Are you up to the challenge?
- This degree will impart a depth of knowledge in computer science and cybersecurity sufficient to understand the problems, techniques, and issues of cybersecurity at a professional level. In addition this program will give the students the skills in intelligence and management sufficient to lead and direct teams of professionals in both offensive and defensive aspects of cyber warfare.
- Other aspects of information science include cryptography, computer forensics, database management and data mining.
- Other competencies include quantitative aspects of management including statistical modeling and decision making, accounting, and microeconomics.
View requirements for the B.S. in Cyber Intelligence and Security degree on the Catalog site.
Our graduates are sought by such prestigious employers as:
- The Boeing Company
- Banking and Investment Firms
- General Electric
- General Dynamics
- Government Entities such as the FBI, CIA and ATFE
- United Space Alliance
Cyber Intelligence & Security
Professor Haass has had a distinguished career in academia and industry for the past twenty years. He has published in a number of areas of applied mathematics including large scale computation of complex dynamical systems and topological structure of data.