Master's Degree in Cybersecurity and Analytics & AI

Cybersecurity and Analytics & AI Courses You May Take

Cyber Crime Analysis: This course provides an in-depth exploration of the phases, processes, and challenges of cybercrime investigations. It addresses the technical, legal, and social issues related to the identification, collection, and handling of digital evidence. Key topics include computer forensics, online investigations, network forensics, mobile forensics, IoT forensics, and the professional and ethical conduct required in cybercrime analysis

Cybersecurity Programming Fund: This course provides students with the basic ability to create simple scripts/programs to automate and perform simple operations and the skills necessary to implement algorithms using programming languages to solve problems. This includes basic security practices in developing scripts/programs.

Cybersecurity Governance: This course provides students with the understanding of information assurance in context and the rules and guidelines that control them.

Accounting Data Analytics and AI: This course will provide the student the opportunity to learn about data analytics as it applies to the accounting profession. Data Analytics is a topic of increasing importance for many organizations as the need for data-driven insights and recommendations grows throughout the business industry. AI technologies are transforming accounting and business operations by automating complex tasks, enhancing predictive accuracy, and enabling professionals to focus on strategic analysis and decision-making. This course provides in-depth coverage of data analytics and generative AI, giving students hands-on experience working with different types of data and the tools use to analyze it.

Managerial Decision Making: This course promotes tools for effective decision-making using a variety of techniques. Students learn to apply analytical methods to the processes of data collection, presentation, assessment and interpretation. The course emphasizes quantitative and statistical methods and includes topics such as correlation, regression analysis, data mining and model optimization.

Career Paths for Cybersecurity and Analytics & AI

Upon graduation, you'll be prepared for high-demand, specialized roles that bridge advanced data analysis, AI and digital defense, with many roles offering six-figure salaries. This field is critical for developing AI-driven security tools to detect and respond to threats that traditional methods miss, including adversarial attacks and malware. 

Primary Careers