Courses
INFS 399 - Special Topics/UX & Biometrics
Previously BHNR 343 - Integrated Analytical Decision Making
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This course will focus on the analysis of data, with applications of techniques to business problems. Students will conduct original research and create both a written analysis and presentation. This course satisfies the Engaged Learning requirement.
Objectives: At the end of this course, the student will know how to formulate a business problem, then collect and analyze data, and interpret results that address the problem.
INFS 247 - Business Information Systems
Focuses on using information technology to support business processes. The purpose and composition of information systems, the utilization of technology and hands-on experience in developing microcomputer business applications with productivity tools (Microsoft Excel and Access).
Objectives: Understanding of using information technology to support business processes, and of developing business spreadsheet and database applications.
INFS 360 - Data Visualization and Business Intelligence
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.
Objectives: Students will be able to process & visualize large amounts of data in order to enable efficient & effective analysis using industry standard software.
INFS 395 - Independent Study: Information Visualization & Biometrics
​Independent study is in-depth research or reading, initiated by the student and jointly developed with a faculty member in a specialized area of Information Systems not otherwise covered by departmental course offerings. Variable Credit. May count for Information Systems major or minor. Permission of Assistant Dean required.
INFS 485 - Business Requirements Analysis
This course focuses on information systems requirements and related skills. Students learn techniques for translating between business needs and requirements for analytics systems and related processes.
Objectives: Students will learn how to elicit, analyze, specify, prioritize, and validate requirements for analytics that enable an organization's business goals. The course reviews primary processes, e.g., transaction processing, that collects and processes the information the business uses as inputs into analytics.
INFS 797 - Application of Visualizations
​Students will explore human perception and cognition, the use of best design practices, and interacting/storytelling with data.
Objectives: This course will develop a vocabulary and framework for discussing, critiquing, assessing, and designing visual displays of quantitative data
Introduction to Business Analytics at Loyola University Andalucia
This course focuses on introducing you to the foundational concepts in business analytics.
Students will gain knowledge in five critical areas of business analytics, focused on processes to (i) design
databases and store data for analytical tasks (ii) conduct analytical tasks such as descriptive, predictive, and
prescriptive analytics (iii) explore and tell stories with data using data visualization best practices, (iv) deploy
optimization models to analyze business problems, and (iv) explore critical ethical issues in the context of the
data-driven decision-making. Students will have a chance to work hands-on with data diagraming (ERDPlus),
analytical programming (R), data visualization (Tableau) tools, and business optimization (MS Excel) techniques.
Objectives:
Understand fundamental database, data warehouse, and big data concepts. Understand fundamental business analytics (BA) concepts and BA types. Be able to critique and design visual displays of quantitative data. Be able to define, build and leverage optimization models to analyze common business problems. Discuss ethical concerns in the context of data-driven decision making.