Course Descriptions

BANA 6350. Quantitative Methods.

Course covers traditional management science/operations research concepts, models, and methods that are employed to make better, objective, verifiable, communicable, and more informed decisions for problems routinely encountered by decision makers in business. Emphasis is on application, interpretation, and the use of results to make better decisions for planning and operations. Prerequisites: BUAD 5350. 

3 Credits 

Classroom

BANA 6380. Advanced SAS Programming.

This course provides a comprehensive overview of the business-analytics project lifecycle. It discusses understanding the problem, identifying the appropriate data, retrieving, preparing, and exploring the data, applying a set of candidate analytics techniques, selecting the most appropriate technique, and communicating the results into actionable business recommendations. Prerequisite: BANA 6350. 

3 Credits

Classroom

BANA 6H15. Python Programming Concepts

 Introduces the student to programming in Python. Upon completion of this class, the student will be able to write non-trivial programs using Python for data processing and model deployment. Topics include language components, control flow constructs, strings, input/output, classes, packages, matrix expressions, and regular expressions. The course includes hands-on labs requiring students to bring a PC to class. (1.5 credit hour course) 

1.5

Classroom

BANA 6H30. R Programming Concepts.

 Introduces the student to programming in R. Upon completion of this class, the student will be able to write non-trivial programs using R for data processing and model deployment. Topics include language components, control flow constructs, strings, input/output, classes, modules, matrix expressions, and regular expressions. The course includes hands-on labs requiring students to bring a PC to class. (1.5 credit hour course) 

1. 5 Credits

Classroom

BANA 7320. Data Visualization.

This course provides an introduction as well as hands-on experience in data visualization. Students will learn to analyze the context of data visualization, to identify, access and prepare data for visualization, to apply best practices in visual analytics, to design user-oriented visualizations based on essential cognitive and perceptual principles, and to create dash board and data stories that effectively communicate data insights to facilitate managerial decision making. Students will complete data visualization assignments as well as a final project featuring an interactive dashboard and datastory. Co-requisite: BANA 6350. 

3 Credits

Classroom

BANA 7350. Forecasting Methods.

This course addresses tools and techniques required for analyzing business data for forecasting. Topics include time series analysis and time series forecasting. Students will learn to apply these techniques to support business decision makers. Prerequisite: BANA 6H30. Co-requisite: BANA 6350. 

3 Credits

Classroom

BANA 7365. Predictive Modeling.

The course addresses practices related to predictive modeling (decision tree, regression, neural network, ensemble and boosting models, among others). Topics include modifying data for better analysis results, model training and testing, machine learning methods, comparing and explaining complex models, generating predictions, and communicating results to help make better business decisions. This course is open only to MS students in Business Analytics. Prerequisite: BANA 6350, BANA 6H30.

3 Credits

Classroom

BANA 7380. Advanced Business Analytics.

This course addresses tools and techniques required for creating predictive models to support business decisions and techniques for communicating results of advanced analytics techniques. Topics include selecting and engineering predictive features, creating preliminary scorecards, performing inference techniques, determining scorecard performance, and communicating the results. Co-requisite: BANA 6350.

 

3 Credits 

Classroom

BANA 6390. Big Data Analytics

This course addresses concepts, tool and techniques for using large datasets to address business problems. This includes understanding big data concepts, common architectures, and using industry-standard tools to store, query, transform and analyze large datasets. Techniques related to importing and working with diverse types of data across different technical environments are discussed and practiced. Prerequisites: BANA 6H15 and BANA 6H30. 

3 credits

Classroom

BANA 8395. Business Analytics Practicum.

The Practicum is taken in the last semester and designed to integrate all earlier coursework. Under the guidance of the professor, each student completes applied analytics projects on approved topics. Approval is required to enroll. This course is open only to MS students in Business Analytics. Prerequisites: BANA 7365, BANA 6H15 and BANA 6H30. 

3 Credits

Classroom

BUAD 5350. Data Analysis for Decision Making.

Focuses on the analysis and presentation of quantitative information in a manner that facilitates understanding and decision-making.  The course covers basic sampling, statistical analysis, reporting, and data presentation techniques. 

3 Credits

Classroom/Online

BUAD 6305. The Effective Leader.

Facilitates the development of interpersonal and team skills leaders need to function effectively. Focus is on the integrated behavioral competencies that organizations value today; self awareness, communication, collaboration, and relationship-building.  Students will plan and implement new behaviors relevant to individuals who hold leadership positions, as well as those who informally assume leadership roles as they work with others to achieve business goals.  

3 Credits

Classroom/Online 

BUAD 8310. Business and Society.

Examines the social, political, legal and regulatory environments that constitute the background in which a for-profit business firm conducts its activities in domestic and global contexts. Corporate social responsibility and the ethical dimensions of decisions that impact stakeholder groups and corporate sustainability in a competitive environment are discussed. Prerequisites: MANA 5F50.

3 Credits

Classroom/Online

News

Faculty, Staff Nurture Partnership, Build Relationships in Avila

This past 2017-18 school year, the University of Dallas began an exchange program with the Catholic University of Avila (Universidad Católica de Ávila, or UCAV) in Spain, sponsored by the European Union's Erasmus program. In August 2017, UD hosted a faculty and a staff member from UCAV here in Irving; in May and July 2018, faculty and staff from UD visited Avila, a medieval fortress city with numerous churches and historical associations with St. Theresa.

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Trustees Announce Presidential Search Committee

The University of Dallas Board of Trustees is pleased to share several updates regarding the search for a new university president. Richard Husseini, BS '88, current vice chair of the board and executive committee member, will chair the search committee for a new university president. This committee represents a cross section of the UD community, including trustees, faculty, an academic dean, a National Alumni Board representative, a member with senior staff experience, and the current student government president.

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