2026-2027 Academic Catalog

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Business Information Tech (BIT)

BIT 1984 - Special Study (1-19 credits) 
Instructional Contact Hours: Variable credit course 
BIT 2104 - Careers in Business Information Technology (1 credit) 
Career opportunities and job search strategies in the business information technology and operations fields with reference to the BIT courses that best help the student identify a career in his/her selected field. Includes career skills development and resume writing. Pass/Fail only.
Instructional Contact Hours: (1 Lec, 1 Crd) 
BIT 2164 - Foundations of Contemporary Security Environments (3 credits) 
Introduction to multiple analytical perspectives on contemporary security environments, including political, legal, ethical, technical, environmental and historical and cultural perspectives relative to the conception, design and implementation of security solutions, practices, and policies. Emphasizes applying and analyzing the effectiveness of diverse procedures, tools and policies used in security and privacy solutions, decision-making, risk management and operational policy to mitigate local, national, international and global threats.
Pathway Concept Area(s): 3 Reasoning in Social Sciences, 5F Quant & Comp Thnk Found., 11 Intercultural&Global Aware. 
Instructional Contact Hours: (3 Lec, 3 Crd) 
Course Crosslist: CS 2164, PSCI 2164 
BIT 2405 - Introduction to Business Statistics, Analytics, and Modeling (3 credits) 
Introduction to basic statistical (inference) tools, analytics techniques, and modeling necessary in managerial decision-making. The decision-making aspect of the course, while utilizing quantitative/computational thinking, will emphasize ethical reasoning. Topics include, but are not limited to, descriptive statistics, elementary probability theory, sampling and sampling distributions, portfolio management, hypothesis testing, regression analysis, analysis of variance, big data, and data analytics.
Prerequisite(s): MATH 1025 or MATH 1225 or MATH 1524 or STAT 2004 
Pathway Concept Area(s): 5F Quant & Comp Thnk Found., 10 Ethical Reasoning 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 2406 - Introduction to Business Statistics, Analytics, and Modeling (3 credits) 
Overview of analytic models and solution techniques in decision science. Discussion of descriptive and predictive analytics goals and methods. In addition to overview of mathematical modeling and solution techniques, discussions will include considerations of adapting analytics methods to various global and ethical business applications. Students should develop skills and appreciation of the use of data and analytics for problem solving.
Prerequisite(s): MATH 1025 or MATH 1225 or MATH 1524 or ACIS 1504 or STAT 2004 or BIT 2405 
Pathway Concept Area(s): 5A Quant & Comp Thnk Adv., 10 Ethical Reasoning 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 2554 - Linux, Shell Scripting, and Securing OS for Business (3 credits) 
Build foundational knowledge of the Linux operating system and file system concepts necessary for cybersecurity business professionals. Discuss the purpose, use, architecture, and navigation of the Linux file system. Build skill using a command line operating system for system administration and security management tasks. Employ file and directory management, process management, text manipulation, and permissions in the Linux operating system. Create shell and Python scripts for process automation, configuration and process management, and security applications. Hands-on experience securing and hardening the Linux operating system.
Prerequisite(s): BIT 2405 
Pathway Concept Area(s): 5F Quant & Comp Thnk Found., 10 Ethical Reasoning 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 2954 - Business Study Abroad (1-19 credits) 
This course provides students with an international business experience. It is only offered as part of a program outside of the United States. Students will learn from the structured educational experience developed by the faculty leader. This course is intended for students who want to develop information technology or operations management related free electives. Pre: Instructors consent and the completion of 24 semester hours with a minimum GPA of 3.0 or departmental consent.
Instructional Contact Hours: Variable credit course 
BIT 3414 - Operations and Supply Chain Management (3 credits) 
Study of the process directly related to the creation and distribution of goods and services. Increasingly, these operations are taking place outside the boundaries of a traditional enterprise. This course teaches students how to analyze processes, ensure quality, create value, and manage the flow of information, products and services across a network of customers, enterprises and supply chain partners.
Prerequisite(s): BIT 2406 and ACIS 2116 and ECON 2006 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 3424 - Introduction to Business Analytics Modeling (3 credits) 
Introduction of modeling of problems encountered in business analytics. Statistical and optimization modeling, computer solution, and analysis of business problems. Uses spreadsheet and database software to facilitate the modeling and solution of these problems.
Prerequisite(s): BIT 2406 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 3434 - Advanced Modeling for Business Analytics (3 credits) 
Study of selected, advanced topics in decision modeling and business analytics. Emphasis on model formulation, solution techniques, interpretation of results and comprehensive approaches to problem-solving. Integer, multi-criteria, and non-linear programming as well as network analysis and heuristics. Includes case studies and use of Excel as the primary analytical tool.
Prerequisite(s): BIT 2406 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 3444 - Advanced Business Computing and Applications (3 credits) 
Study of advanced topics in business computing with a focus on developing desktop applications using an advanced programming language such as Python. Coverage of programming fundamentals, data structures, object-oriented programming, database management, analytics modeling and visualization, and graphical user interface design. Emphasis on the design and testing of prototype systems and evaluation model. Builds advanced programming skills and practical knowledge in business application development.
Prerequisite(s): BIT 3424 or CS 1064 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 3454 - Business Process Improvement (3 credits) 
Examines the technical aspects of business process improvement focusing on improvement strategies, quality control, data analysis and mining, and maturity models. Emphasizes analytical techniques for business process design, control, and improvement.
Prerequisite(s): BIT 3414 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 3464 - Enterprise Planning and Control Systems (3 credits) 
The study of the design, analysis and implementation of enterprise-wide resource planning and control systems. The course examines decision support models for production planning, master scheduling, inventory control, shop floor control and related topics in planning and control. The course emphasizes the application of information technologies such as ERP, MRPII, CIM to operations planning and control.
Prerequisite(s): BIT 3414 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 3474 - Data Management and Business Analytics in Python (3 credits) 
Python for data wrangling and data analysis to support business decisions. Illustrate proficiency in Python, basic skills such as variables, functions, conditionals, loops, libraries, and data structures. Leverage Python skills to learn how to manage data. Learn how to clean, transform, and augment data, as well as how to use Python to obtain data, in particular to work with application programming interfaces (APIs) and do web scraping. Learn how to use Python to conduct data analysis and for plotting and visualization of data. Apply Python for time series data analysis and data modeling using libraries.
Prerequisite(s): (CS 1064 or BIT 3424) and BIT 2406 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 3484 - Advanced Business Analytics in Python and R (3 credits) 
Python and R for advanced data analysis, including predictive analytics and machine learning, to support business decisions. Use Python and R to conduct exploratory data analysis. Learn how to handle data, sampling distributions, statistical experiments, and significance testing in Python and R. Apply simple and multiple linear regression and related concepts such as confidence intervals, dummy variables, correlation, multicollinearity, confounding variables, interactions and main effects, and outliers. Learn how to apply classification, specifically NaΪve Bayes, discriminant analysis, and logistic regression. Learn how to apply model evaluation techniques such as ROC curves, AUC, and lift. Introduction to and application of machine learning, including k-nearest neighbors, tree models, principal component analysis, and hierarchical clustering.
Prerequisite(s): BIT 3474 or FIN 3114 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 3514 - Systems Analysis (3 credits) 
Study of the current technologies for designing and developing computer-based business systems. Topics will include process, structural, behavioral, and conceptual data modeling methodologies such as Uniform Modeling Language (UML) and important design-related issues such as data flows and system capabilities. Design issues will be explored through class projects. This course duplicates BIT 4524.
Prerequisite(s): CS 1064 or BIT 3424 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 3524 - Database Management and Design (3 credits) 
Study of the design of databases and data structures for supporting business applications. Basic database structure and design, structured query language, database management systems, integration of backend database servers, data warehousing and mining, on-line analytical processing, and database application, security, and management. This course duplicates BIT 4514.
Prerequisite(s): BIT 2406 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 3554 - Networks, Telecommunications and Security (3 credits) 
Provides an introduction to computer networks and data communications in business. Topics include mechanisms for reliable data transfer, network topologies and technologies, and a comprehensive treatment of inter-networking. Additional topics include packet switching, and cloud, edge, and advanced networking. Security issues related to using computer networks are discussed, along with network design issues, and methodologies for network applications. Duplicates BIT 4554.
Prerequisite(s): BIT 2405 or ACIS 3504 or BIT 2164 or CS 2164 or PSCI 2164 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 3614 - Election Security (3 credits) 
Election system and historical voting in the U.S., their inherent vulnerabilities, and how to locate and prepare against poor election security practices. Trust and cultural significance of voting in a democratic America. The election system security standards and regulations including the Virginia Department of Elections Voting Systems Security Policies, Standards, Guidelines, and Locality Election Security Standards (LESS). Threats, vulnerabilities, and attacks on election infrastructures and how they may be evaluated and mitigated. Security controls for voting systems, voter registration databases, and associated IT infrastructure and systems used to manage elections while exploring cybersecurity careers in the public sector. Prepares selected students for a summer internship supporting the Cyber Navigator Program with a specific Virginia Locality. Primarily designed for students majoring or minoring in cybersecurity, the course is open to all students of any major.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 3664 - Cybersecurity Management I (3 credits) 
Focuses on building general cybersecurity knowledge with an emphasis on cybersecurity management. This course will teach students about the categories of security controls. Students will be introduced to the necessity of cybersecurity through an introduction to cybersecurity concepts (e.g., threats, vulnerabilities, risk) and using basic tools to identify cybersecurity weaknesses (security assessments, passive and active reconnaissance, and vulnerability scanning). Students will learn about security policies and risk assessments and will perform a risk assessment. Students will be introduced to types of social engineering and malware tools and techniques. This class will introduce the legal and ethical aspects of security and privacy and the tools used to protect data privacy. Students will also learn to develop policies and procedures to manage hosts and explore how to harden one. This course will also introduce students to the management of internet of things (IOT) and cloud technologies, human resources security, incident response and forensics, physical and infrastructure security, and cybersecurity resilience.
Prerequisite(s): BIT 2554 and (BIT 3554 or ACIS 3554) 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 3674 - Cybersecurity Management II (3 credits) 
Focuses on building general cybersecurity knowledge with an emphasis on the management and implementation of technical cybersecurity controls. This course will build knowledge of and teach students how to implement symmetric and asymmetric encryption. Students will learn about authentication and access controls and how to implement them, as well as understand and implement the network security protocols, standards, and applications that help support them. The course will also teach students how about database security practices and how to implement them, as well as build their understanding of firewalls, intrusion detection and prevention, buffer overflows, software security, wireless network security, and mobile security.
Prerequisite(s): BIT 3664 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 3954 - Study Abroad (1-19 credits) 
Instructional Contact Hours: Variable credit course 
BIT 3984 - Special Study (1-19 credits) 
Instructional Contact Hours: Variable credit course 
BIT 4164 - Future of Security: Integrative Solutions for Complex Security Systems (3 credits) 
Identification and analysis of complex, real-world security problems and threats to people, organizations, and nations across multiple domains, roles and future scenarios. Crisis communication, decision making tools, ethical principles and problem-solving methods to respond, assess options, plan, scope, and communicate before, during and after conflicts, disasters and attacks. Use of an experiential learning facility, and participation in a reality-based team simulation of cascading security and disaster events.
Prerequisite(s): PSCI 2164 or BIT 2164 or CS 2164 
Pathway Concept Area(s): 1A Discourse Advanced, 10 Ethical Reasoning 
Instructional Contact Hours: (3 Lec, 3 Crd) 
Course Crosslist: CS 4164, PSCI 4164 
BIT 4424 - Business Information Visualization and Analytics (3 credits) 
Basic perception and design principles and techniques for information visualization, with an emphasis on the application of visualization software for data exploration and the development of analytical skills for business. Includes hands-on exposure to information visualization and statistical software.
Prerequisite(s): BIT 2406 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 4434 - Computer Simulation in Business (3 credits) 
In-depth study of the application of computer simulation techniques to business decision making and process improvement. The theory of computer simulation and statistical analysis of results are included. Attention is focused on using simulation software stressing application to specific problems.
Prerequisite(s): BIT 3414 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 4444 - Web-Based Decision Support Systems (3 credits) 
Study of current technologies for designing and constructing interactive, Internet-based systems for supporting business decisions. Topics may include the operation of the Internet, server-side programming, client-side programming, server-side scripting, XML, XHTML, database integration, COM, CGI, and others. Design issues will be explored through a class project.
Prerequisite(s): BIT 3444 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 4454 - Business Analysis Seminar in IT (3 credits) 
Comprehensive treatment of Decision Support Systems (DSS) as managerial tools, particularly in an e-commerce environment. Emphasis is at the builder and user level. A primary emphasis is on problem solving through the integration of various quantitative techniques as well as on IT concepts. The course includes a comprehensive project using state-of-the-art software.
Prerequisite(s): BIT 3434 and BIT 4444 and BIT 3524 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 4464 - Advanced Supply Chain Management (3 credits) 
Advanced study of efficient methods for streamlining the production and delivery of products and services across functions, enterprises and global boundaries. Topics include the facilities, functions, technologies, and activities involved in creating and delivering products and services, especially in a digital marketplace. Designing and managing a network of suppliers across enterprises is discussed, along with the information systems, risk management and planning issues involved.
Prerequisite(s): BIT 3414 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 4474 - Global Operations and Information Technology (3 credits) 
This course includes concepts and issues critical in the globalization of business operations and information technology. Topics covered include the organization of global operations, cultural and national comparisons, planning global operations, facilities location, product development, technology transfer, global communication links, transborder data flow, international information systems, and other emerging operations and information technology issues.
Prerequisite(s): BIT 3414 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 4484 - Project Management (3 credits) 
Study of efficient methods for planning and controlling projects. Topics include project management and scheduling tools, project quality assurance, risk and cost control, resource constrained scheduling, definition and requirements analysis, task integration, and managing alliances. The application of information technology to project management and control is emphasized throughout the course.
Prerequisite(s): BIT 3414 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 4544 - Artificial Intelligence, Machine Learning, and Deep Learning in BIT (3 credits) 
Learn concepts and techniques related to artificial intelligence (AI), machine learning (ML), and deep learning (DL). Learn the fundamentals of AI, ML, and DL algorithms and how to apply them to problems of interest to majors in the business information technology (BIT) department. Understand and apply supervised (classification, regression) and unsupervised (clustering) machine learning, and applications of these techniques in business. Apply deep learning, for example, recurrent neural networks (RNN), generative adversarial networks (GAN), and convolutional neural networks (CNN).
Prerequisite(s): BIT 3484 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 4604 - Data Governance, Privacy and Ethics (3 credits) 
Examination of data analytics and automated decision making issues, across multiple technology contexts, through the lens of the humanities and ethics. Privacy, autonomy, data ownership, equality, and accountability. Decision making and exploration of questions of data ethics and data fairness throughout the data life cycle.
Prerequisite(s): BIT 2405 or CMDA 2014 or CS 1114 or CS 1054 or CS 1064 
Pathway Concept Area(s): 2 Critical Thinking Humanities, 10 Ethical Reasoning 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 4624 - Cybersecurity Analytics for Business (3 credits) 
Application of advanced analytics to cybersecurity in a business setting. Categorization of cyber threats and solutions. Data mining, visualization and machine learning applied to large data sets for anomaly detection, threat prediction, and incident response analysis. Investigation of adversarial machine learning. Selection of appropriate analytics techniques and security platforms. Consideration of business and ethical issues.
Prerequisite(s): BIT 3674 or BIT 4614 or CS 4264 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 4644 - Digital Forensics and Incident Response Management (3 credits) 
Focuses on building knowledge about the field of digital forensics and incident response. Students will learn about cybercrime and the digital forensics process. The course will build knowledge of, and teach students how to implement, digital forensics techniques and tools. Students will learn about file systems, and how to work with Windows, Linux, and Macintosh file systems and forensic tools to acquire and analyze forensic evidence. Students will learn how to apply forensic tools and techniques to network, mobile, internet of things (IOT), cloud, email, social media, and dark web data and services. The course will also build knowledge about how to manage incident response capabilities such as computer security incident response teams (CSIRTs), incident response planning, guidance for processing crime and incident scenes, and how to compile forensic reports and integrate forensically obtained knowledge into future incident response planning.
Prerequisite(s): BIT 3674 or BIT 4614 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 4654 - Penetration Testing and Ethical Hacking for Business (3 credits) 
Focuses on building competence in penetration testing for business. This course will teach principles of ethical hacking, such as system reconnaissance, enumeration, vulnerability scanning, and exploitation. Students will learn how to find and exploit vulnerabilities in web applications, operating systems, wireless networks, as well as perform social engineering and physical security assessments. Students will also perform penetration tests and learn to write reports for managerial audiences.
Prerequisite(s): BIT 3674 or BIT 4614 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 4664 - Cyber Defense Strategy (3 credits) 
Overview of key aspects of building and operating an effective enterprise cybersecurity program. Alignment of defense strategy with business objectives. Survey of cybersecurity program roles and responsibilities. Design of resilient security architecture. Implementation of efficient security operations to detect and respond to threats. Measurement of risk and overall program efficacy.
Prerequisite(s): BIT 3554 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 4674 - Cyber Threat Analysis (3 credits) 
Survey of the cyber threat landscape, historical milestones, major threat actors, attack methods, and vectors. Overview of approaches for analyzing cyber threats and vulnerabilities, along with their impact on individuals, organizations, nations, and society.
Prerequisite(s): BIT 3554 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 4854 - Analytics in Action (3 credits) 
Problem-solving framework and analytic techniques for solving messy, unstructured, high-impact, real-world organizational/societal problems within an interdisciplinary, intercultural, experiential learning context. Definition of problem scope, objectives, need for change, ethical concerns, and diversity and inclusion issues; identification of stakeholders and their values; evaluation of decision tradeoffs; problem decomposition and hypothesis formulation; project planning and administration; data versus user requirements, ethical and inclusive decision making, data collection, preparation, and analysis; team roles and management; professional communication of insights, policy and action recommendations.
Pathway Concept Area(s): 1A Discourse Advanced, 11 Intercultural&Global Aware. 
Instructional Contact Hours: (3 Lec, 3 Crd) 
Course Crosslist: MGT 4854 
BIT 4954 - Study Abroad (1-19 credits) 
Instructional Contact Hours: Variable credit course 
BIT 4964 - Field Study (1-19 credits) 
Instructional Contact Hours: Variable credit course 
BIT 4974 - Independent Study (1-19 credits) 
Instructional Contact Hours: Variable credit course 
BIT 4984 - Special Study (1-19 credits) 
Instructional Contact Hours: Variable credit course 
BIT 4994 - Undergraduate Research (1-19 credits) 
Instructional Contact Hours: Variable credit course 
BIT 5114 - Crime and Conflict in Cyberspace (3 credits) 
In-depth exploration of the cyber threat landscape and the motives, methods, and mechanisms that shape it. Complex and evolving nature of security, privacy, policies and safety in cyberspace. Consequences posed by cyber threats at the individual, corporate, national, and societal levels. Cyber threat research, governance and analysis. National and international policies and strategies for protecting cyberspace.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 5124 - Cyberlaw and Policy for Information Technology (3 credits) 
Key legal, ethical, and policy cyber governance and cyber security topics for managers and information security officers. Legal rights, remedies, and limitations related to cybercrime, computer intrusion, national security, and data breaches. Privacy laws and standards, impact assessments, privacy and security by design as policy and legal requirements. Comparison of international approaches to relevant laws and policies. Fundamentals of managing legal and policy aspects of information technology and security. Pre: Graduate standing.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 5134 - Cybersecurity Program Design and Operations (3 credits) 
Development and maintenance of the enterprise cybersecurity life-cycle. Design of a comprehensive and resilient cybersecurity program in alignment with business objectives. Implementation and management of security operations. Security assessments and remediation of deficiencies. Security intelligence, analytics, and incident response. Measurement and communication of program effectiveness. Pre: Graduate standing.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 5324 - Predictive Analytics and Data Mining for Executives (2 credits) 
Implementation of predictive analytics and data mining to support business decisions. Building analytics capability within an organization. Data exploration, cleaning, and visualization. Use of a structured methodology for data mining practice. Supervised and unsupervised modeling techniques, and their applications. Translation of model outputs to business policies and practices. Pre: Graduate standing.
Instructional Contact Hours: (2 Lec, 2 Crd) 
BIT 5404 - Decision Modeling and Business Analytics (3 credits) 
Business decision modeling, including descriptive, predictive and prescriptive analytics. Linear and integer programming, distribution and network modeling, waiting line analysis, non-linear modeling, and multi-criteria decision making. Simulation for extending decision modeling to scenarios involving uncertainty and risk. Software tools for problem analysis and solution. Translation of model outputs to business policies and practices. Illustrating applications in organizations of all types and in global environments. Pre: Graduate Standing.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 5414 - Operations Management in a Global Environment (3 credits) 
Role of operations and supply chain management in modern organizations. Organizational value creation through product and process design and management, use of appropriate quality processes and metrics, location and layout of facilities, coordination of supply chain partners and processes, forecasting demand, managing inventory, and using systems and technology effectively, in production and service industries. Emphasis on global issues, quantitative techniques, and the use of technology. Pre: Graduate Standing.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 5424 - Bus Visualization Analytics (3 credits) 
Principles and techniques for information visualization and reporting for business analytics. Covers principles of human perception and application of information visualization software for preparation, exploration, synthesis, interpretation, and presentation of business data to support decision making. Pre: Graduate Standing.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 5474 - Computer-based Decision Support Systems (3 credits) 
This course explains the characteristics, use, and development of decision support systems (DSS) within the context of other business information systems. The process of designing and implementing decision support systems in business is discussed from both theoretical and practical standpoints. Students will learn various ways of measuring the success of DSS implementation as well as the difficulties associated with all such measures. Students will learn to use common software tools to develop a simple DSS and will learn to use the Internet as a decision making and productivity tool. Pre: Graduate student standing or instructors consent.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 5494 - International Operations and Information Technology (3 credits) 
This course includes concepts and issues critical in the globalization of business operations and information technology. Topics covered include the organization of global operations, cultural and national comparisons, planning global operations, facilities location, product development, technology transfer, global communication links, transborder data flow, international information systems, and other emerging operations and information technology issues.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 5514 - Emerging Technology Transformation - Practical Implementation (2-3 credits) 
This course is designed to help students develop a ‘system-of-systems’ approach to conceiving of and implementing transformation projects drawing from emerging technologies. It will provide a basis from which to identify technology trends likely to impact markets and distinguish between sustaining and disruptive innovation. It draws from practical examples in government and industry to illuminate risk factors that have caused major transformation efforts to fail in the past. It then pulls from best-practice real-world experience to present a repeatable approach to leading successful technology-enabled transformation projects. It provides a baseline understanding of emerging technologies, national research, and development priorities to help students spot transformation opportunities, create organizational objective and implement complex programs. It baselines student understanding of the range of Artificial Intelligence (AI) technology techniques, open source, and commercial solutions. Students study the impact of AI on corporate and government decision making. They will learn best practice data strategies, converged communications, compute and storage needs, VR/MR/AR and robotic solutions to support the implementation of sense, make sense and act (AI) processes for business, consumer, community and government transformational outcomes. Students will gain an appreciation for common technical hurdles associated with transformation projects and best practice mitigations. Pre: Graduate standing.
Instructional Contact Hours: (2-3 Lec, 2-3 Crd) 
BIT 5524 - Introduction to Business Intelligence and Analytics (3 credits) 
Overview of business intelligence and analytics technologies and their strategic use including defining/framing the business context for decisions, decision models, data issues, business intelligence, building analytics capability, cloud computing, making organizations smarter, and measuring the value of analytics. Pre: Graduate standing.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 5534 - Applied Business Intelligence and Analytics (3 credits) 
Development of business intelligence and analytics solutions and applications to various types of decision- making problems. Analytics software and techniques. Data preparation, data exploration and visualization, predictive analytics techniques, text analytics, spatial analytics.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 5544 - Introduction to Generative AI in Business (2-3 credits) 
Dive into the world of Generative Artificial Intelligence (AI) – the force behind tools like ChatGPT – and learn how it's changing the way businesses operate. This course provides a comprehensive framework for professionals and students eager to apply Generative AI and related technologies to gain a competitive edge in the business world. Through engaging sessions and hands-on projects, participants will learn to apply Generative AI in practical business scenarios. Discover how to build conversational agents for better customer interactions, streamline operations using Robotic Process Automation (RPA) with AI, and enhance business processes with Large Language Model (LLM)-powered workflows. You’ll also learn how to bring AI solutions into your organization effectively and keep them running smoothly. Develop the mindset and capabilities to implement intelligent automation that drives productivity, innovation, and growth. Become a strategic leader prepared to navigate the human-AI collaboration that will shape the future of business. Pre: Graduate Standing
Instructional Contact Hours: (2-3 Lec, 2-3 Crd) 
BIT 5564 - Healthcare Information Technology (3 credits) 
Use of information technology in the health care industry. Topics address electronic health records, patient informatics, evidence based medicine, electronic prescribing and telemedicine. The use of these technologies to improve patient health and medical systems operations. Pre-requisite: Graduate Standing required
Prerequisite(s): ACIS 4515 and CS 2604 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 5574 - Healthcare Data Management (3 credits) 
Organization and management of data in the health care industry. Includes standards for electronic health records, healthcare enterprise systems architecture, health database design, existing database platforms, data integration from multiple sources, and database accessibility. Analysis of health-care-related organizations from the perspective of multiple user groups including patients, technicians, nurses, physicians, clinics, hospitals, and insurance companies.
Prerequisite(s): BIT 5564 
Instructional Contact Hours: (3 Lec, 3 Crd) 
Course Crosslist: ACIS 5574 
BIT 5594 - Web-Based Applications and Electronic Commerce (3 credits) 
An examination of the concepts, technology, and applications of electronic commerce in business and society. Topics include the world wide web as a platform for electronic commerce; intranets; electronic data interchange; electronic banking and payment systems; implementing security technologies and policies, security and firewalls; software agents; and social, legal, corporate governance and international issues of electronic commerce.
Prerequisite(s): (ACIS 5514 or BIT 5474) or (ACIS 5514 or BIT 5474) 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 5624 - Program Management and Project Leadership (1-3 credits) 
This course introduces the fundamentals of program and project management, beginning with project definition and culminating in the post-project review. Students will learn techniques, terms, and guidelines that are used to manage cost, schedules, risk, group dynamics, and technical aspects throughout the life cycle of a project.
Instructional Contact Hours: (1-3 Lec, 1-3 Crd) 
BIT 5644 - Management of Information for Business Decisions (2 credits) 
This course illustrates a variety of statistical methods to collect and analyze data sets. Complex problems, both business and societal, are studied and analyzed for trends, patterns, relationships and other useful information. Statistical tools such as probability distributions, sampling, hypothesis testing, regression and times series analysis, simulation, and forecasting are studied from a practical and business perspective. Business and industry cases are used to demonstrate the usefulness and effectiveness of the techniques used. Students use software to perform computational studies, obtain solutions, and analyze the results. Pre: Graduate standing in Executive MBA or Professional MBA program.
Instructional Contact Hours: (2 Lec, 2 Crd) 
BIT 5664 - Managing the Global Supply Chain (2 credits) 
This course provides the student with expertise in the planning and control of business processes within a firm and across its global supply chain. Emphasis is placed on applying IT and process analysis skills to improving the quality and productivity of business firms and their supply chain partners. Efficient methods for streamlining the flow of information, services and products across functions, enterprises, and global boundaries are studied. Issues in designing and managing a network of suppliers in a global environment are discussed. Pre: Graduate standing in Executive MBA or Professional MBA program.
Instructional Contact Hours: (2 Lec, 2 Crd) 
BIT 5724 - Managerial Statistics (3 credits) 
Introduction to basic statistical (inference) tools necessary in managerial decision-making. Topics include, but are not limited to, descriptive statistics, elementary probability theory, sampling and sampling distributions, portfolio management, hypothesis testing, regression analysis, quality improvement, and Six Sigma concepts and methodology. Graduate standing required.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 5894 - Final Examination (3 credits) 
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 5954 - Study Abroad (1-19 credits) 
Instructional Contact Hours: Variable credit course 
Repeatability: up to 6 credit hours 
BIT 5964 - Field Study (1-19 credits) 
Instructional Contact Hours: Variable credit course 
BIT 5974 - Independent Study (1-19 credits) 
Instructional Contact Hours: Variable credit course 
BIT 5984 - Special Study (1-19 credits) 
Instructional Contact Hours: Variable credit course 
BIT 5994 - Research and Thesis (1-19 credits) 
Instructional Contact Hours: Variable credit course 
BIT 6194 - Business Information Technology Colloquium (1 credit) 
Focuses on learning about the BIT academic discipline. Engage with research being conducted internally and externally through visitors’ research seminars and debriefs of those presentations. Learn about navigating academia, writing high quality research papers, and current research topics in BIT by attending panel discussions put on by BIT faculty members. Workshop research ideas and working papers. Learn how to improve skills such as time management, presentation, writing, and developing research ideas. Discuss and assess journal articles recent issues of top business journals. May be repeated 14 times with different content for a maximum of 15 credit hours. Pass/Fail only. Pre: Graduate Standing.
Instructional Contact Hours: (1 Lec, 1 Crd) 
Repeatability: up to 15 credit hours 
BIT 6214 - Business Information Technology Research Foundations Seminar (3 credits) 
Focuses on BIT research program development around various areas in the social and behavioral sciences. Emphasizes understanding the characteristics of research programs and the challenges of developing them. Learn about key major directions of research in information systems and related disciplines that have the most potential for future research. Learn to develop a research program. Pre: Graduate standing.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 6314 - Artificial Intelligence/Machine Learning/Deep Learning Bus Research Seminar (3 credits) 
Builds foundational knowledge of artificial intelligence, machine learning, and deep learning (AI/ML/DL). Focuses on studying the use of AI/ML/DL to solve business problems and improve organizations. Emphasizes behavioral, organizational, and ethical issues related to the use of AI/ML/DL in business research and practice. Examines how employees work and collaborate with AI/ML/DL, how people interact with AI/ML/DL, and contextual applications of AI/ML/DL such as security and privacy, healthcare, social media, and the consumer experience. Discusses the approaches for and implications of using AI/ML/DL as a method in business research. Apply AI/ML/DL knowledge and skills to develop research articles for business journals. Pre: Graduate standing.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 6324 - Design Science Seminar (3 credits) 
Conceptual framework and research guidelines for analyzing and evaluating design science research. Selective, intensive coverage of topics related to creating and testing new and innovative information technology artifacts within the broader disciplines of information systems and operations management. Specific focus on research opportunities offered by social media analytics in design science research. Practical application of methods and techniques involving social media analytics in design science studies. Pre: Graduate standing.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 6334 - Operations Management Seminar (3 credits) 
Principles for analyzing and evaluating quantitative approaches to enterprise resource management (materials, labor, capacities, capital and information), in public, private, for-profit, and non-profit organizations. Production, Finance, human resources, and all forms of operations management. Advanced mathematical modeling of decisions for design, planning, and control. Analysis of research papers that involve theoretical development or rigorous application to the topics addressed in the course. Pre: Graduate standing.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 6414 - Seminar in Information Technology (3 credits) 
Advanced study of selected current topics in information technology emphasizing professional journal articles. Student research should lead to publishable paper. Course may be taken multiple times. Pre: restricted to graduate students in the Department of Business Information Technology.
Instructional Contact Hours: (3 Lec, 3 Crd) 
BIT 6424 - Theory Building Seminar in Business Information Technology (3 credits) 
Foundation and skills of theory building, conceptual development, and theory-inspired design. Focuses on information systems, operations management, organizational security, and technology-related management and organizational decision-making. Emphasizes modeling and development of theoretical contributions. Learn to write and review high-quality journal articles in business information technology disciplines grounded in theory. May be repeated 2 times with different content for a maximum of 9 credit hours. Pre: Graduate standing.
Instructional Contact Hours: (3 Lec, 3 Crd) 
Repeatability: up to 9 credit hours 
BIT 6984 - Special Study (1-19 credits) 
Instructional Contact Hours: Variable credit course 
BIT 7994 - Research and Dissertation (1-19 credits) 
Instructional Contact Hours: Variable credit course