General education courses are the foundation of the University’s outcomes and attributes for its graduates.

• ENG 1150 Composition I — 3 credit hours
• ENG 1200 Composition II — 3 credit hours
• MTH 1150 College Algebra or MTH 1100 Finite Math — 3 credit hours
• SPC 2050 Speech — 3 credit hours
• NSC 2100 Environmental Science or Natural Science — 3 credit hours
• HIS 2100 Foundations of the Modern World I or History Elective — 3 credit hours
• MTH 2310 Statistics I — 3 credit hours
• PSC 2010 Introduction to American Government — 3 credit hours
• 3000/4000 Psychology, Sociology or Humanities Elective — 3 credit hours

• ACC 2410 Fundamentals of Financial Accounting — 3 credit hours
• ACC 2415 Fundamentals of Managerial Accounting — 3 credit hours
• ECN 2210 Principles of Microeconomics — 3 credit hours
• ECN 2220 Principles of Macroeconomics — 3 credit hours
• LAW 3000 Business Law I — 3 credit hours
• MGT 2300 Principles of Management — 3 credit hours
• MIS 1500 Business Productivity Software — 3 credit hours
• MKT 2080 Principles of Marketing — 3 credit hours
• FIN 3010 Financial Management — 3 credit hours
• MGT 4250 Organizational Behavior — 3 credit hours
• MGT 4800 Strategic Planning — 3 credit hours
• PHL 3100 Ethics — 3 credit hours

• ECN 4010 Economics of Public Policies — 3 credit hours
• PHL 4100 Philosophy of American Enterprise — 3 credit hours

• MIS 1110 Introduction to Management Information Systems — 3 credit hours
• MIS 1300 Information Technology Infrastructure — 3 credit hours
• MIS 2140 Programming I — 3 credit hours
• MIS 2150 Programming II — 3 credit hours
• MIS 3250 ERP Business Applications — 3 credit hours
• MIS 3300 Project Management — 3 credit hours
• OPS 1200 Business Process Management — 3 credit hours
• ACC 3500 Accounting Information Systems — 3 credit hours
• MIS 3400 Systems Analysis and Design — 3 credit hours
• MGT 4300 Management of Information Technologies — 3 credit hours
• MIS 4500 Technology Capstone Project — 3 credit hours

This course is designed for beginner students in the practice of data visualizations. Students will learn to relate to Tableau terminology relevant to describing key insights garnered from drilling down into data. A hands-on approach to teaching the important concepts and techniques of simple and complex visualizations in Tableau will be adopted. Course topics that will be discussed include cross tabs, geographic maps, treemaps, pie charts and bar charts, dual-axis, and combined charts with different mark types, highlight tables, and scatter plots. Students will use this experience to build interactive dashboards. A student who completes this course will have the skill level consistent with the fundamentals of Tableau Desktop I.

Students will develop a thorough understanding of the current operating systems, networks, and communications infrastructure. Includes an understanding of the functions of operating systems, fundamental automated data and voice communications concepts and terminology, and modes of data transmission, transmission media, and different types of networks.

This course builds on the rudimentary concepts learned in MIS 1250. Students will be provided with the skillsets of a seasoned Tableau power user. They will be exposed to the professional desk tools typical of solid working experience with Tableau. Course topics include a review of creating and connecting to data sources, developing data subsets, executing Tableau calculations, performing advanced table calculations, creating and using parameters, data extraction, comparing measures, Tableau geocoding, viewing distributions, basic statistics and forecasting, story-telling using dashboards. A student who completes this course will have the intermediate Tableau skill level consistent with the fundamentals of Tableau Desktop II.
Prerequisite: MIS 1250

Students gain the computer skills needed to succeed in their academic careers and in today’s workplace. Major topics include file management and office productivity tools: Word-Processing, Visual Presentation, and Basic to Advanced Spreadsheet usage. Students learn the mechanics of file management and the use of Microsoft Office productivity tools; how to select the most appropriate productivity tool for a task; and how to efficiently use these tools to store data, analyze data, and communicate information. In this course, students gain hands-on, practical experience using currently popular word-processing, presentation, and spreadsheet programs.

This course explores best practices for designing visualizations that viewers can easily understand and use. Upon completion of this course, students will be able to formulate strategic steps to optimize visual analytics processes, effectively deploy pre-attentive attributes in visualizations, propose design visualizations that minimize the risk of misleading consumers in hunt for data insights, effectively use charts to answer specific questions. They will also be able to describe the process of identifying visual best practices for dashboard and story design. A student who completes this course will be prepared to complete the certification exam to qualify as a Tableau Desktop Qualified Associate. It will also provide a solid foundation for students to aspire to complete the certification exam for Tableau Desktop Certified Professional as well.

Introduces students to the elements of business programming using a selected programming language. Study of the program development cycle and practice designing and writing business application programs. In designing programs, students will learn to identify program requirements, data requirements, user interface requirements, and the programming processes needed to develop a solution. Based on their designs, students will code, test, and evaluate their programs.

Advances the student’s knowledge of programming concepts and design principles acquired in MIS 2140. Students will develop more advanced algorithms and use more complex data structures. Concepts of GUI, web enabled, and event-driven programming will be utilized.
Prerequisite: MIS 2140

Focuses on web concepts and high quality web design as well as digital image/graphic design and manipulation for the web and print media. Important issues such as sequential communication, editorial design, and visual communication for the web will be studied and applied within this course. Students will integrate text, digital images/graphics, and other design applications into website design. Website and digital image design will be applied using the most powerful and up to date industry software (Adobe Creative Suite).
Prerequisites: MIS 1500

The design, implementation, and maintenance of databases play a key role in the success of modern information systems. Students examine the logical design and physical organization of data in an enterprise database. Various approaches to data management are covered including relational database management systems. Topics include the advantages of using database management systems, the proper design and implementation of a database, accessing and manipulating data using Structured Query Language (SQL), and the role of a database administrator.
Prerequisite: MIS 1500

Introduces students to the concepts used with Enterprise Resource Planning (ERP). Students examine the relationships and interdependence of programs used to create information systems for organizations. Customer relationship, supply chain, production, and financial system models will be featured. Implementation issues are examined for ERP including technical structure.

Students will examine the significant role that project management plays in the successful completion of an information technology project. The skills, tools, and best practices used to effectively manage a project from its inception to successful closure will be discussed. Students will learn how to control the scope, time, cost, and quality of projects, and gain hands-on experience using project management software.
Prerequisite: MIS 1500

Structured Query Language (SQL) continues to rank as one of the most-used computer languages in the world. To better position careers in the business world, students taking this course will build on the SQL skills acquired in MIS 3200 to provide database solutions. Through intensive hands-on learning sessions, best practices for defining structures that hold data so that relationships in the relevant data features can be analyzed to bear on business decisions will be learned. Key MySQL ideas will be emphasized to empower students to create, modify, explore, and summarize data beyond the limits imposed by Microsoft Excel and Access.
Prerequisite: MIS 3200

Examines the various tools and methodologies for the development and implementation of a business information system. Students will also examine the logical and physical organizations of data in an enterprise database. The systems approach is covered in detail in conjunction with current concepts of systems analysis and design. The life cycle concept, the importance of implementing controls during the planning, analysis, design, implementation, and evaluation phases of a management information system to solve business management problems are highlighted.

This course surveys information security essentials needed for a foundational understanding of the Information Security discipline from the business level perspective. Common attacks and vulnerabilities against an organization will be identified and deliberated. Furthermore, the course provides a survey of how to mitigate the risk of attack, the managerial and legal requirements on organizations including reporting requirements, the professional ethics surrounding cyber security, and how these affect security policy formation and implementation.
Prerequisite: MIS 1500

Various topics in management information systems. These may be one-time or occasional course offerings.
Prerequisite: Dependent on specific course content

The internship (a minimum of 150 hours) is designed to provide the student with supervised on-the-job training. A contract between the University, student, and employer provides the groundwork. Objectives, evaluations, written log, and a study of the organization are designed to provide a realistic learning experience.
Prerequisite: Department chair approval

Capstone course for the MIS concentration and is designed to consolidate the business and information systems knowledge acquired during the completion of the program. The skills, tools, and best practices used to effectively manage a project from its inception to successful closure will be discussed. Student teams will manage an information systems project that improves business operations. Students will apply project management best practices as they work through the project life cycle. This course promotes the development of consultative communications skills and interpersonal skills with team members and other project stakeholders.
Prerequisite: MIS 3400

To minimize uncertainties in business decisions and planning, this course studies ways that machine learning algorithms are being deployed towards optimal extraction of truths embedded in data. Case studies will be used to introduce, explain, illustrate, and contextualize the utility of machine learning algorithms. Algorithms covered will center on information, similarity, probability, and error-based machine learning techniques to harness and leverage the value of predictive modeling. Students will develop a deep appreciation of the three foundational pillars of data analytics, namely descriptive, predictive and prescriptive analytics as it applies to the real world of data analytics-be it customer, finance, marketing, healthcare, supply chain, human resource, government, and sports analytics, to name but a few.
Prerequisite: MTH 3450

A delve into big data opportunities, what they represent, and the value modern business systems embrace by investing in infrastructure that supports big data integration, management and analysis. Students taking this course will be introduced to the Vs of big data: Volume, Velocity, Variety, Variability, and Veracity. A survey of modern technologies, either programming or application-based, deployed in big data analysis and cloud computing will be emphasized. To innovate faster with cloud computing, types of cloud computing and varied applications in product development, predictive maintenance, customer experience, fraud detection, machine learning, operational efficiency and the internet of things (IOT) will be illustrated.
Prerequisite: MTH 3150

The capstone experience for the Data Analytics program is designed as a practitioner’s domain for synthesizing concepts learned in the program to extract actionable insights from real-life. Real-life data will be sourced from reputable data repositories. To analyze the sourced data sets, students will combine analytical methods learned during the program with stimulating ideas gleaned from completed public domains like Kaggle, GitHub and BitBucket on best practices for effectively managing an analytics project from its inception to a successful closure. Guided by the CRISP-DM model, students will synthesize database management, data visualization, machine learning, project management, consultative communication and interpersonal skills to see a data analytics project through its life cycle. Completed capstone projects will be documented in GitHub or Bitbucket as reference projects to demonstrate student’s preparedness for the corporate world.
Prerequisites: MTH 3450 and MIS 4100