Information Technology Online Master's Degree Program

Students learn to create and use scripts to access, acquire, prepare, and transform data, including structured and semi-structured data, and to define and detect patterns in unstructured data to demonstrate how real world problems can be answered with data.

Scripting languages like Python can help security professionals extend available tools but also create new tools to address specific needs. Extensive labs in this course have students attacking MD5 hashes, web scraping, parsing security logs and breaking a cipher.

Students will develop the ability to write basic python scripts (WIngIDE) to help in digital investigations. Students will also interpret scripts written in other languages, like EnCase Enscript or Perl or Microsoft Powershell or UNIX Shell Script.

Self-leadership is defined by a developed sense of who you are, what you can do, and where you are going, coupled with the ability to affect your behavior and emotions and to communicate effectively through the process. Students will develop a sense of self-awareness to include the values and habits of mind that drive one's practie as an innovative and creative leader, in a global and diverse workplace.

The world is increasingly characterized by diversity and an integrated economy. Balancing the business opportunities and risks associated with dynamic and uncertain global changes is critical to effective leadership in this global economy. Leaders must learn how to integrate their understanding of culture, ethics, economic and policial issues into their decision making and strategy development.

During a firm's planning, operations, and control cycles, many choices and decisions must be made. We introduce you to financial information within an orgranization that supports decision making and performance measurement in addition to how to use this information to make a business case to various stakeholders. Students will also consider how weigh both qualitative and quantitative factors when making decisions.

Decision-making in any organization cannot be separated from financial considerations, and those involved with strategic planning and operations need to understand the impact their work has on the organization's financial performance. Managers must understand the organization's financial models in order to make a meaningful contribution to the overall success of the organization. Students will focus on using financial information rather than creating it and will use case studies and simulations to experience low-risk financial decision-making.

Students learn to create and use scripts to access, acquire, prepare, and transform data, including structured and semi-structured data, and to define and detect patterns in unstructured data to demonstrate how real world problems can be answered with data.

In this course students learn about deep learning, machine learning, and artificial intelligence, and compare supervised and unsupervised learning. Machine learning workflows and the challenges associated with machine learning, such as bias and heteroscedasticity, are considered. Students evaluate models, and examine uses for machine learning and artificial intelligence. Natural Language Processing is also addressed.

In this course students learn about different types of data and methods of visualization so they can select appropriate visualization techniques, and prepare and visualize data for specific audience(s). The role of human perception and its impact on the design and communication of graphical representations of information is also examined.

In this course students learn about data types and how to perform pre-processing activities including cleaning, integration, reduction, and transformation. Use of appropriate techniques to analyze and model data, such as classification, decision trees, association rules, and clustering, and the causes and methods of detecting outliers are also covered. Students propose additional applications for data mining based on current trends/research.

Students will be using FTK Imager, Magnet Encrypted Disk Detector, OS Forensics Volatility Workbench, Kali Linux, Reg Ripper, Network Miner, and Wireshark to develop a foundation framework for the practice of Digital investigations, including technical and managerial issues.

Hands-on labs and assignments using Kali Linux, Metasploitable, Nessus and Armitage build on previously acquired knowledge of threat and vulnerability classification in this course that allows students to use the knowledge of a vulnerability to perform threat analysis. Vulnerability and patch management processes are also addressed.

Students will use tools such as The Sleuth Kit and Volatility to conduct forensic analysis of PC & server operating systems and software running on those systems, while gaining a knowledge set of forensic relevant information about operating systems, including those used in mobile devices. Finally, students will look at the challenges of virtualization, including those that come with the growth of Cloud systems.

In this class, students use tools like nfdump, Snort and Wireshark for network forensic analysis in the context of the role of an incident response team.

In SDEV-530, students will use software modelling techniques and formal representation, including Unified Modelling Language (UML), to represent and design software systems.

In this course students study the specificity of managing software development projects, covering all areas identified by the Project Management Institute in the PMBoK? Software Extension. The application of these concepts to alternative forms of project management are also covered in this course.

In this course, students study Agile project management methodologies, in the context of software development, as a way of achieving Software Engineering quality goals. Students will learn what projects lend themselves to an agile approach, and how the agile approach relates to traditional project management, while learning the tools and techniques of Agile.

In this course, students will learn how to plan and implement software testing using quality assurance frameworks.