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Course Descriptions

Course Descriptions

BUAD 5350. Data Analysis for Decision Making.

Focuses on the analysis and presentation of quantitative information in a manner that facilitates understanding and decision-making. The course covers basic sampling, statistical analysis, reporting, and data presentation techniques.

3 credits

BUAD 6305. The Effective Leader. 

Facilitates the development of interpersonal and team skills leaders need to function effectively. Focus is on the integrated behavioral competencies that organizations value today: self-awareness, communication, collaboration, and relationship-building. Students plan and implement new behaviors relevant to individuals who hold leadership positions, as well as those who informally assume leadership roles as they work with others to achieve business goals.

3 credits

BUAD 8310. Business & Society. 

Examines the social, political, legal and regulatory environments that constitute the background in which a for-profit business firm conducts its activities in domestic and global contexts. Corporate social responsibility and the ethical dimensions of decisions that impact stakeholder groups and corporate sustainability in a competitive environment are discussed. Prerequisites: MANA 5F50.

3 credits

BANA 6350. Quantitative Methods. 

Course covers traditional management science/operations research concepts, models, and methods that are employed to make better, objective, verifiable, communicable, and more informed decisions for problems routinely encountered by decision makers in business. Emphasis is on application, interpretation, and the use of results to make better decisions for planning and operations. Prerequisites: BUAD 5350.

3 credits

BANA 6390. Big Data Analytics. 

This course addresses concepts, tool and techniques for using large datasets to address business problems. This includes understanding big data concepts, common architectures, and using industry-standard tools to store, query, transform and analyze large datasets. Techniques related to importing and working with diverse types of data across different technical environments are discussed and practiced. Prerequisites: BUAD 5350, BANA 6H15 and BANA 6H30.

3 credits

BANA 6H15. Python Programming Concepts. 

Introduces the student to programming in Python. Upon completion of this class, the student will be able to write non-trivial programs using Python for data processing and model deployment. Topics include language components, control flow constructs, strings, input/output, classes, packages, matrix expressions, and regular expressions. The course includes hands-on labs requiring students to bring a PC to class.

3 credits

 BANA 6H30. R Programming Concepts.

Introduces the student to programming in R. Upon completion of this class, the student will be able to write non-trivial programs using R for data processing and model deployment. Topics include language components, control flow constructs, strings, input/output, classes, modules, matrix expressions, and regular expressions. The course includes hands-on labs requiring students to bring a PC to class.

3 credits

BANA 7320. Data Visualization. 

This course provides an introduction as well as hands-on experience in data visualization. Students will learn to analyze the context of data visualization, to identify, access and prepare data for visualization, to apply best practices in visual analytics, to design user-oriented visualizations based on essential cognitive and perceptual principles, and to create dash board and data stories that effectively communicate data insights to facilitate managerial decision-making. Students will complete data visualization assignments as well as a final project featuring an interactive dashboard and datastory. Co-requisite: BANA 6350.

3 credits

BANA 7365. Predictive Modeling.

The course addresses practices related to predictive modeling (decision tree, regression, neural network, ensemble and boosting models, among others). Topics include modifying data for better analysis results, model training and testing, machine learning methods, comparing and explaining complex models, generating predictions, and communicating results to help make better business decisions. Prerequisite: BANA 6350, BANA 6H30.

3 credits

CYBS 6350. Data Protection. 

Provides a working knowledge of fundamental data protection techniques for protecting data at rest, data in motion and data in processing. Techniques include encryption algorithms and systems (symmetric, asymmetric, standard, digital certificates and hashes), Steganography, data masking, and data obfuscation. Access controls, availability, authentication, confidentiality, data integrity, and non-repudiation are covered and defenses against DDOS and other data attacks. Security by diversity and security in depth are presented as fundamental requirements. Prerequisites: CYBS 5F70.

3 credits

CYBS 6355. Compliance & Legal. 

Examines legal, privacy, and compliance environments facing organizations globally. Students build an understanding of the complexities of security, compliance and legal obligations starting with a general foundation of laws and industry standards that apply across most organizations that handle sensitive data. Examination of industry verticals expand students’ knowledge of particular federal and state regulatory and industry-based obligations. It also examines how security and compliance obligations can be used to establish the security, compliance, and risk management programs for an enterprise. Prerequisite: CYBS 5F70. Co-requisite: CYBS 6350.

3 credits

CYBS 7350. Operational Cybersecurity Management. 

Focuses on developing skills relative to an understanding of the business risks that exist when proper cybersecurity access controls are not effectively implemented. Students will study breach cases and have the opportunity to interface with security experts to gain an in-depth understanding of current risks, threats, and vulnerabilities organizations face. Lab simulations will be completed and each lab will be analyzed for its meaning and purpose in increasing security knowledge. Students will create a cybersecurity breach report and as a team project create an access control plan with recommendations for overcoming or minimizing cyber breach situations through the use of proper controls, the control framework, lab experiences, and other resources explored in the course. Co-requisite: CYBS 6350.

3 credits

CYBS 7355. Pen Testing & Vulnerability Assessment or CYBS 7359. Digital Forensics.

Provides an in-depth understanding of penetration (pen) testing and "ethical hacking", including requirements and reporting. Examination of the business impact of testing and conducting security testing (including network and web application penetration testing) in the lab environment including: intelligence gathering, identifying and exploiting vulnerabilities, conducting post-exploitation exercises, and reporting results. Students are required to create a comprehensive report summarizing the findings including recommendations to mitigate the risks identified. Topics include social engineering, web application testing, managing a security test, and tools of attack. Prerequisites: CYBS 7350 and CYBS 7357.

3 credits

CYBS 7357. Network Security.

Provides a comprehensive explanation of network security basics including how hackers access networks and the use of network security tools to provide countermeasures. Strategies for meeting the challenges from expanded network boundaries are developed through active hands-on exercises in networked lab environments. Prerequisite: CYBS 5F70 and CYBS 6350.

3 credits

CYBS 8396. Strategic Cybersecurity Practicum

This course is taken in the last semester and is designed to integrate all earlier coursework. This course examines Cybersecurity at a program level by developing strategy that includes components including mission, values, organizational structure, network structure, policy, risk assessment, vulnerability management, metrics, business continuity, awareness, education, culture, staffing, mobile device management, and threat analysis. Students will complete detailed strategic road maps that they will present to an executive board for approval. This course is only open to MS students in Cybersecurity. Approval is required to enroll. Prerequisites: CYBS 6350, CYBS 7350 and 7357.

3 credits

 

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