Loyola University Chicago

Quinlan School of Business

Information Systems

The MBA with an information systems concentration will advance your career in the arena of information technology. Every business relies on IT processes to stay competitive, improve efficiency, and enhance communication. Loyola's practical curriculum helps you develop advanced skills for improving organizational performance and consequently, profitability, allowing you to naturally progress into leadership or managerial roles.

Elective Courses

Choose three of the following courses in order to obtain an information systems concentration.

Courses (3)

This course focuses on helping future business leaders, in increasingly competitive environments, think about the strategic use of technology in the development and management of competitive advantages. The course will use case discussions, expert presenters and real-world projects to help students understand how to leverage emerging technologies (Eg. Machine Learning, Artificial Intelligence, Block Chain, Cognitive Analytics) as well as an understanding of innovation processes (Eg. Design Thinking) in developing sustainable business strategies.
Outcome: Think strategically about information technology to gain a competitive advantage.

This course uses database systems as the focus for studying concepts of data modeling and data manipulation. Procedures for creating, managing, sorting, and processing data are discussed. Concepts of relational database methods are covered as well as the issues that arise in managing information in a database and using it to support business processes. 

Outcome:  Understanding the development and use of business database systems.

Data Mining involves the search for patterns in large quantities of data. The fundamental techniques used in data mining include, but are not limited to, clustering, decision trees, neural networks, and association analysis. 
Outcome:  The student will be able to build models using an industry-standard package and interpret the results.

Provides a core set of skills for planning, managing and executing systems analysis and design processes in e-business and Web-based environments. Topics typically include project initiation and planning, methods used in the determination of information requirements, prototyping, techniques used in systems design, testing and implementation strategies. 
Outcome: Understanding of the development and implementation of business information systems.

The components and design issues related to data warehouses and business intelligence techniques for extracting meaningful information from data warehouses are emphasized. Oracle tools will be used to demonstrate design, implementation, and utilization issues. 

Outcome: students will learn how data warehouses are used to help managers successfully gather, analyze, understand and act on information stored in data warehouses.

The amount of data that our world generates is growing at a torrid pace. Sifting through & making sense of these humongous mountains of data is crucial to ensuring business growth, success and to making scientific discoveries & advancements. Data visualization plays an important role in this process. 
Outcome: Students will be able to process & visualize large amounts of data in order to enable efficient & effective analysis using industry standard software.

Independent study is in-depth research or reading, initiated by the student and jointly developed with a faculty member, into a specialized area of information systems not otherwise covered by department course offerings.

This course will be based on current best practices in IS development and focus on the importance of quality as an activity applied throughout the entire systems development process. 
The course will cover techniques for ensuring quality in systems development such as software defect prevention and removal methods.  Examples of how such concepts and techniques are used in firms in different industries will be examined. The following topics will also be discussed: software metrics, quality in software requirements, Function Point Analysis & Metrics, and Quality Management Systems such as Six Sigma, ISO 9000, Capability Maturity Model and Information Technology Infrastructure Library (ITIL).

The art and science of project management as applied to a variety of business and technical projects in commercial, public, and private sectors. Covers: project life cycle and methodology; teambuilding;  project organization, stakeholders and leadership; proposals and contracts; techniques for project planning, estimating, scheduling, and control; PMO. 
Outcome: Understanding of the broader role of the project manager with regard to all project stakeholders, and of methods, tools, and procedures for initiating, defining, and executing projects.

Techniques of forecasting and model building are introduced. Methods covered are simple and multiple regression, introduction to time series components, exponential smoothing algorithms, and AIRMA models - Box Jenkins techniques. Business cases are demonstrated and solved using the computer. 
Outcome: To be able forecast business and economic variables to enhance business decisions.