8 courses with the subject MSA, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
This course will introduce the use of data analytics to support evidence-based decision-making. Students will learn the foundational tools of data gathering and management, statistical inference, and organizational intuition. Special attention is paid to translating organizational goals into testable questions.
This course introduces the student to data analysis and statistical tools to improve managerial decision-making. Topics include an introduction to descriptive statistics, sampling methods and distribution, variance analysis, simple and multiple linear and nonlinear regressions, hypothesis testing, confidence intervals, regression analysis, modeling uncertainty, and decision analysis. The course emphasizes an ethical approach to conducting analysis and effectively interpreting, communicating, and applying the results to support business needs. (Students must be unconditionally admitted to the MS Strategic Analysis program and demonstrate statistics competency by successfully completing the online statistics module. MBA program students must be fully admitted to that program or have met the remedial conditions for quantitative preparation).
This course will introduce paradigms for extracting useful knowledge from the data. This data knowledge discovery process involves collecting, cleaning, transforming, storing, securing, and sharing data. Special attention is paid to the ethical management of data at all stages. The course will introduce industry-standard practices and techniques related to data mining.
This course develops advanced data analysis tools including multivariate analyses, predictive modeling, and nonparametric tests appropriate for survey research. This course will extend students’ knowledge and application of advanced statistical techniques to analyze data and inform complex questions/problems. Students will obtain hands-on experience in implementing a range of commonly used statistical methods on numerous real-world datasets. Prerequisite: Grade of C or higher in MSA610 or its equivalent.
This course will introduce students to the field of data visualization, which is based on the principles of cognitive science, graphic design, visual arts, and visual perception theories. Data visualization is the science of stripping data down to its most important structures and then using the best techniques to maximize human perception for effective communication, decision making, and persuasion while working to minimize bias. The goal of the course is to empower students to identify and illuminate important insights and skillfully display them in the most efficient, effective, and aesthetic way to improve ethical critical decision making.
The course introduces the concepts of needs assessment, the selection and designing of programs based on needs, program implementation, and program evaluation. Models for understanding the role of the program in the context of the community is discussed.
In this course, students will manage analytical projects and lead diverse teams while navigating the political and ethical implications of their use of analytics for making decisions. The course reflects a leadership approach to implementing the assessment cycle: planning and goal setting, evidence collection, assessment, feedback, and identification and implementation of changes. Topics covered in this course include project management, building high-performance teams, leadership, ethics in the use of Big Data, and legal, privacy, and security issues in the use of data and analytics.
This is the capstone course in data analytics. Students will apply techniques learned in analytics, statistics, project selection, program evaluation, and visualization in a variety of real-world scenarios. Emphasis is on creative, abstract, and integrative thinking in executing a program in data analytics and managing the data analytics function within a real-world problem. This course must be completed in the student’s final term enrolled in the program.
Source: Belmont Abbey College's catalog, linked per course · table learning_unit · CourseShelf publish 61
