Cyber-Risk Management Minor
The Cyber-Risk Management Minor has been designed to enhance opportunities and professionalism within any major program of study. Whether interested in natural sciences and health care, behavioral sciences, business, the arts, education or architecture, the Cyber-Risk Minor will better prepare students to be innovative within established organizations or their own enterprise. The minor in Cyber-Risk Management provides students with foundational knowledge in critical areas of cybersecurity. It is designed to provide entry-level employment skills for a wide range of jobs and to help provide a bridge to the world of cyber-risk management for non-business majors.
The Cyber-Risk Management Minor requires a minimum of 19 credit hours.
Prerequisite: CSCI 251 and MGMT 263. This course provides an overview of security challenges and strategies of countermeasure in the information systems environment. Topics include definition of terms, concepts, concepts, elements, and goals incorporating industry standards and practices with a focus on availability, vulnerability, integrity, and confidentiality aspects of information systems. The course will also take a “hands on” approach to teaching about operating systems, networking, and some of the tools of the trade used in the field of Information Security.
Prerequisite: CISQ 352. This course is an introduction to hacking tools and incident handling. Areas of instruction include various tools and vulnerabilities of operating systems, software, and networks used by hackers to access unauthorized information. This course also addressed incident handling methods used when information security is compromised.
Prerequisite: CISQ 352. This course will provide an in-depth look at the major business challenges and threats that are introduced when an organization’s network is connected to the public Internet. This course will provide a comprehensive explanation of network security basics, including how hackers access online networks and the use of Firewalls and VPNs to provide security countermeasures. Using examples and exercises from the field, this class incorporates hands-on activities to prepare the student to disarm threats and prepare for emerging technologies and future attacks.
An introduction to computer science through applications such as media. A major component is programming design and development using a language such as Python or Java. A disciplined approach to problem solving methods and algorithm development will be stressed using top-down design and stepwise refinement. Topics included are syntax and semantics, input and output, control structures, modularity, data types, and object-oriented programming. Recommended for students with previous programming experience or a strong mathematical background (math ACT score of 24 or above).
Provides with the base level understand and quantitative foundation needed for data analytics. It will include a discussion of key topics such as big data, analytics (including predictive/prescriptive), machine learning, Internet of Things, data mining and data science. The course will begin by examining these key topics, then move into an in-depth focus on the analytical process. Using case studies and application to real world scenarios students will experience how to apply the data analytics process to business situations. Next, the course will focus on data communications and visualization principles. Finally, students will be introduced to common data analytics software applications and use one, or more, of these applications to complete an end of term project.
This course is an overview of laws and regulations as they pertain to the business atmosphere. Topical areas include procedural laws and the court system, alternative means of dispute resolution, constitutional law, torts/products liability, business crimes, contracts, sales, forms of business organizations, and employment regulation. Case analysis and ethical implications are discussed in each area.