This course equips students with the technology and analytical skills necessary to succeed in academics and the business world. Using Microsoft Excel and Tableau, or other similar business software, students learn to make data-driven decisions, analyze business scenarios, and communicate insights effectively. Coursework emphasizes applied problem-solving across disciplines including statistics, accounting, finance, marketing, management, and information systems. Students engage with real-world datasets, build interactive dashboards, and develop critical thinking skills through applied course work that prepares them for industry certification exams.

Grading Basis: Letter Grade

Typically Offered: Fall, Spring.

This course introduces students to the fundamentals of web design and development using HTML5, CSS, and JavaScript. Students learn to plan, design, and build responsive, accessible websites that adapt to mobile, tablet, and desktop devices. Topics include webpage structure and layout, multimedia integration, interactivity, and current trends in responsive and mobile-first design. Emphasis is placed on hands-on projects where students apply coding and design skills to create professional-quality websites. If completed prior, must earn a C- or higher.

Grading Basis: Letter Grade

Prereq or Coreq: ISMG 2050. If completed prior, must earn a C- or higher.

Provides an introduction on how various technologies are utilized by organizations to drive business decisions and gain a competitive advantage. Students will learn how organizations can leverage information technology to streamline operations and become more efficient & effective. Students will be exposed to the concepts of: artificial intelligence, business intelligence, cybersecurity, data and information, e-business, ethical use of data, enterprise information systems, organizational responsibilities related to information technology, project management, systems development life cycle, and wireless communications. Note: Business core course therefore a grade of a 'C-' or better must be earned to satisfy graduation requirements.

Grading Basis: Letter Grade

Restriction: Restricted to undergraduate students with 45 credit hours or more.

Typically Offered: Fall, Spring.

Spreadsheet software remains one of the essential digital skills required by businesses. In this course, you will learn key Excel skills including creating charts/graphs, filtering information, using pivot tables to summarize data, mastering Excel functions including sumif, countif, and vlookup. Cross-listed with ISMG 5050.

Grading Basis: Letter Grade

Prompt Engineering for Generative AI is a dynamic and interactive course designed to equip students with the skills and knowledge needed to effectively leverage generative AI for a wide range of business tasks. Throughout the course, students will learn how to harness the power of natural language processing and artificial intelligence to optimize their workflows, enhance productivity, and solve real-world business and IT problems. From resume optimization to website creation, from data analysis to marketing content development, students will explore various applications of generative AI in diverse business contexts. By the end of the course, students will have the proficiency to craft tailored prompts, interact with generative AI efficiently, and maximize the utility of this powerful tool. Cross-listed with ISMG 5060.

Grading Basis: Letter Grade

Tableau is a widely used business intelligence (BI) and analytics software that makes it easier for people to explore and understand data. This class introduces data management concepts and terminology, provides basic proficiency in analyzing and exploring data in Tableau. Students will transform raw data to meaningful visualizations and insights, create interactive dashboards and stories, and handle multiple data sources in Tableau. Cross-listed with ISMG 5070.

Grading Basis: Letter Grade

Structured Query Language (SQL or "Sequel") is a special-purpose language designed for managing data in a relational database and is necessary for careers dealing with data across many business roles. This class introduces students to data management concepts and terminology. This class will prepare you to extract data from relational databases using SQL syntax shared by many types of databases, such as PostgreSQL, MySQL, SQL Server, and Oracle. Cross-listed with ISMG 5080.

Grading Basis: Letter Grade

Python is a high-level programming language used by companies like Google, Facebook, and JP Morgan to solve common business and decision problems. This course introduces the Python programming language and the Pandas data analysis package to enable students to write simple data manipulation and analysis programs. The course uses business applied cases and dataset to enable students to increase decision making efficiency and productivity. It introduces algorithmic thinking skills that are beneficial for every manager in today’s data-rich economy and can also serve as a starting point for learning more advanced programming skills. Cross-listed with ISMG 5090.

Grading Basis: Letter Grade

This course explores data ethics, privacy, and AI accountability frameworks. Students learn to recognize data stakeholder roles and understand data's ethical, legal, and strategic implications. The course examines governance approaches addressing traditional data management challenges and AI accountability concerns, focusing on privacy violations, bias, security vulnerabilities, and transparency failures. Students gain foundational knowledge of frameworks that help organizations mitigate potential harms from data-based and AI systems.

Grading Basis: Letter Grade

The success of today's business often hinges on the ability to turn mountains of data into critical information to make right decisions quickly and efficiently. Databases are ubiquitous in today’s business environment and are the backbone of today’s organizations. This course introduces students to data storage, data retrieval, and data management using current business data management tools. This course emphasizes database design and Structured Query Language (SQL) with hands-on exercises.

Grading Basis: Letter Grade

Requires prerequisite course of ISMG 2050 (minimum grade C-). Restricted to students with 45 credits or more only.

This course covers systems analysis, design, and implementation in organizational contexts. Students practice requirements analysis, modeling, and Agile methods, and then design and deploy functional prototype applications using low-code or no-code development techniques. The course emphasizes interactive, iterative design processes and the evaluation of system architecture strategies in a business setting.

Grading Basis: Letter Grade

Prereq: ISMG 2050 with a C- or higher.

Supervised experiences involving the application of concepts and skills in an employment situation. To enroll in an internship, students must work with the Experiential Learning Center on campus and have a 2.40 GPA or higher. Repeatable.

Grading Basis: Satisfactory/Unsatisfactory

Repeatable. Max Credits: 9.

Restriction: Restricted to undergraduate Business majors with junior standing or higher

Join your classmates in an international travel study course to understand the business operations of another culture. Repeatable.

Grading Basis: Letter Grade

Repeatable. Max Credits: 9.

Restriction: Restricted to undergraduate Business majors with junior standing or higher

This course is designed to develop knowledge and skills for security of information and information systems within organizations. This course focuses on concepts and methods associated with planning, designing, implementing, managing, and auditing security at all levels and on all systems platforms, including enterprise systems. This course presents techniques for assessing risk associated with accidental and intentional breaches of security as well as disaster recovery planning. The ethical treatment of data is discussed. As a prerequisite, a grade of C- or higher is required. Cross-listed with ISMG 6430.

Grading Basis: Letter Grade

Prereq or Coreq: ISMG 3000. As a prerequisite, a grade of C- or higher is required. Restriction: Restricted to undergraduate students with junior standing or higher

This course is designed to provide a thorough introduction to Python and fundamental programming concepts like data structures, networked application program interfaces, files and databases. Principles of object-oriented programming and secure programming practices are demonstrated using programming constructs taken from the business domain. Students are required to design and create their own applications for data retrieval, processing, and visualization.

Grading Basis: Letter Grade

Restriction: Restricted to Junior standing or higher.

This course provides in-depth knowledge of data communications and networking requirements utilized in an organization. Networking models, devices, optimization, and security of those devices, including troubleshooting, is covered. Management of telecommunications networks, cost-benefit analysis, and evaluation of connectivity options is covered. Students learn to evaluate, select, and implement different communication devices within an organization.

Grading Basis: Letter Grade

Restriction: Restricted to Junior standing or higher.

This course introduces the concepts of enterprise security. Students will gain the knowledge required to assess and secure the enterprise. This class uses hands-on labs to help students develop and demonstrate skills for: implementing appropriate security solutions; an awareness of applicable laws and regulations; the principles of governance, risk, data protection, and compliance; and an introduction to vulnerability management and incident response.

Grading Basis: Letter Grade

Requires prerequisite courses of ISMG 4300 and ISMG 4700 (all minimum grade D-).

Artificial intelligence (AI) is changing the way business professionals work with data, uncertainty, and strategy. Starting from the idea that neural networks are a core foundation of evolving AI and machine learning, this course introduces how they power many AI models for forecasting, recommendation, risk assessment, and automation. Instead of emphasizing mathematical derivations, the course focuses on how neural networks function, emphasizing experimentation, interpretation, and the optimization of AI-driven decision models in business settings. Through business cases, students will learn to frame decision problems, design experiments, assess model performance, and make informed managerial decisions in the age of AI. AI-assisted coding tools (e.g., Colab, Cursor, Antigravity) will be used as practice environments to simulate neural network–based decision models and build intuition that supports further study of machine learning and AI.

Grading Basis: Letter Grade

Requires prerequisite course of ISMG 4400 (minimum grade of C-). Restricted to undergraduate students with junior standing or higher.

This course integrates financial concepts with Python programming to provide students with key business intelligence skills relevant to finance. Students will learn to code financial models, manipulate financial data, and apply basic machine learning techniques to forecast financial trends. The course focuses on four primary areas: (1) Python fundamentals for financial applications, including time value of money calculations and other financial functions, (2) data acquisition from financial sources to prepare data for analysis, (3) data visualization and analysis using Python libraries to uncover patterns and insights, and (4) machine learning models, such as K-Nearest Neighbors, Naive Bayes, and Support Vector Machines, for predictive modeling in finance. Through hands-on exercises and projects using real financial concepts and datasets, students will reinforce their learning. By the end of the course, students will have gained proficiency in fundamental Python coding for financial analysis and decision-making. Cross-listed with FNCE 4750

Grading Basis: Letter Grade

Prereq: ISMG 2050 with a grade of ‘C-‘ or higher, FNCE 3000 and ISMG 3000 (ACCT 4054 may substitute for ISMG 3000) all with a grade of 'C-' or higher. Restriction: Restricted to undergraduate students at a junior standing or higher.

This marketing-theory driven course examines customer relationship management (CRM) as a key strategic process for organizations. Composed of people, technology and processes, effective CRM optimizes the selection or identification, acquisition, growth and retention of desired customers to maximize profit. Besides presenting an overview of the CRM process, its strategic role in the organization and its place in marketing, students have an opportunity to create simulated CRM database using popular software package that help to illustrate what CRM can do, its advantages and limitations. Cross-listed with MKTG 4760.

Grading Basis: Letter Grade

Prereq: MKTG 3000 and ISMG 3000 both with a grade of C- or higher. Restriction: Restricted to undergraduate Business majors with junior standing or higher.

Repeatable.

Grading Basis: Letter Grade

Repeatable. Max Credits: 8.

Restriction: Restricted to undergraduate Business majors with junior standing or higher

From a technical perspective, organizations need to know how hackers work so that they can build their security around it and take preemptive measures against future attacks. The goal of ethical hacking is to understand current exploits and assess weaknesses and vulnerabilities of various organizational information systems by attacking them within legal limits. This course is designed to provide students an insight into current hacking tools and techniques used by hackers and security professionals to break into any computer systems. Throughout the course, students will engage in offensive and defensive hands-on exercises stressing ethical hacking and penetration testing that will be conducted in a vendor-neutral virtual environment. Topics include security threats and attack vectors, footprinting and reconnaissance, Google hacking, social engineering, insider threat, network scanning and enumeration techniques, vulnerability assessment, the Dark Web, and attack and defense strategies in emerging technologies, such as the Internet of Things (IoT) and cloud computing. Recommendation: ISMG 4700 or equivalent is advised, but not required, to take course. As a recommendation, ISMG 4700 can be taken concurrently or completed prior. Cross-listed with ISMG 6860.

Grading Basis: Letter Grade

From cyberterrorism to identity theft, the digital age has brought about a change in how crime is being committed. The usage of computers and the Internet in crime has led to the emerging field of digital forensics. Most businesses employ digital forensic experts to identify cyber threats, protect against insider threats, reinforce data loss prevention, reduce the risk of identity theft, fraud, and other digital crimes, and aid in the collection of digital evidence for various investigations. This course is designed to provide students the necessary skills to perform an effective digital forensics investigation. It presents a methodological approach to digital forensics, including searching and seizing, chain-of-custody, acquisition, preservation, analysis, and reporting of digital evidence. It covers major forensic investigation scenarios that enable students to acquire necessary hands-on experience on various forensic investigation techniques and standard forensic tools required to successfully carry out a digital forensic investigation leading to the prosecution of perpetrators. Cross-listed with ISMG 6865.

Grading Basis: Letter Grade

Covers the factors necessary for successful management of enhancement projects. Both technical and behavioral aspects of project management are discussed. The focus is on management of development for enterprise-level systems. Topics include: managing the system lifecycle; requirements determination, logical design, physical design, testing, implementation; metrics for project management; managing expectations: superiors, users, team members and others related to the project; determining skill requirement and staffing the project; cost-effectiveness analysis; reporting and presentation techniques; effective management of both behavioral and technical aspects of the project; change management. Oral and/or written communication skills are applied in this course. Oral and/or written communication skills are applied in this course. Note: Successful completion of this course meets the educational requirements to sit for both the PMP and CAPM exams. Cross-listed with MGMT 4900

Grading Basis: Letter Grade

Requires prerequisite courses of ISMG 3000 or ACCT 4054 or MGMT 3000 or MKTG 3000 (all minimum grade D-). Restricted to undergraduate students with junior status in the Business School.

Seldom offered. This course varies from offering to offering. Typically, it is a research-oriented course exploring new developments in information systems. Prerequisites vary according to topic. Repeatable.

Grading Basis: Letter Grade

Repeatable. Max Credits: 9.

Restriction: Restricted to undergraduate Business majors with junior standing or higher