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FIN310 - Financial Analytics and Modeling
Course Description
In this course, students apply the methodologies, techniques, and tools most commonly used in the analysis of financial data and creation of financial models. Drawing on methods of research from the fields of statistics, operations research, and information systems, students will use industry tools for visualization, inference, forecasting, and business optimization. The emphasis is on exposing the student to the techniques and software tools that are used in the industry to make informed financial decisions.
Credit Hours: 3
FIN330 - Corporate Finance
Course Description
This course is designed to provide students with an in-depth analysis of corporate financial operations, tools, and technologies. Specific topic areas may include sources of corporate funding, the capital structure of corporations, operational and financial projection modeling, budgeting, and the actions financial leaders take to increase the value of the firm. Additionally, students will apply the tools and analysis used to allocate financial resources.
Credit Hours: 3
FIN332 - Risk Management and Analysis
Course Description
In this course students will learn about the role of financial risk management in organization and prepare an organization for uncertainties. Special attention will be paid to the differences between financial and business risks and the examination risk management concepts and techniques. Students will review the role of risk regulation in financial markets and learn how to identify and describe the various types of financial risk and their sources.Â
Credit Hours: 3
MIS380 - Data Visualization I
Course Description
This course will introduce students to best practices in data visualization. Effective design, choice of chart type, effective use of color, how to explore data visually, how to build data dashboards, and how to explain concepts and results visually in a compelling way with data will be covered.
Credit Hours: 3
MIS400 - Statistics for Business Analytics
Course Description
This course will introduce students to the concepts and principles of using statistics for data analysis and decision-making. This course will cover definitions and approaches in understanding data analytics and the role that statistical analysis plays in converting data into useful information. This course will prepare non-data analytics students in understanding how to build models and use statistics for business decision-making.
Credit Hours: 3
