An introduction to career success tools including: personality and career interest inventories, steps to succeed basic resume preparation, business ethics, personal branding, university and community involvement and other career preparation activities. This course is designed for students in their first and second semester within the MCOB.

A survey of the field of business, including profit-seeking firms, not-for-profit organizations, and new businesses created by entrepreneurs. Emphasis on the business environment, organization and management, current economic and international issues, and career opportunities. Societal and ethical issues are also examined. Open to University of South Alabama freshmen only.

Continued introduction to Career success tools including: resume building activities, cover letter and references development, career for a day shadowing, speed branding, dress for success, networking, career fair tools for success, university and community involvement and other career preparation activities. Prerequisite: C or better in BUS 101, Sophomore standing.

An introduction to data analytics in business that includes analysis to make data driven business decisions. This course utilizes statistical applications in business problems solving using descriptive statistics, probability theory, sampling distributions, methods of estimation, and tests of hypotheses. The course introduces students to basic predictive business modeling, and the communication of analytical results.

A second course in quantitative data analytics in business decision making utilizing methods of analysis including statistical inference, predictive, modeling, forecasting, correlation and regression analysis. It further develops fundamental knowledge and skills for making data driven business decisions including the use of computer applications for problem solving. This course relies heavily on project based learning to provide students with experience of solving data based business problems.

A study of the global legal environment in which contemporary American business functions, including a review of legal thought and ethical considerations and the foundations and impacts of governmental regulation in areas such as labor and employment, environmental concerns, consumer protection, and antitrust. Contemporary issues, domestic and international concepts and institutions, and social forces that shape the legal environment are emphasized. Requires sophomore standing

Career success tools including: personal professional strategic plan development, mock interviewing, dining etiquette, personal and professional mentoring, job search, application, and acceptance, job search ethics, creating a career plan, university and community involvement and other career preparation activities. Prerequisite: C or better in BUS 201, Junior standing.

Career success tools including personal professional strategic plan development, interviewing, personal and professional mentoring, job search, application, creating a career plan, university and community involvement, and other career preparation activities. Prerequisite: Junior transfer standing. Business students only.

A course in quantitative data analytics in business decision making utilizing methods of analysis including linear programming, network optimization, binary integer programming, nonlinear optimization, decision analysis, and deep learning. It further develops fundamental knowledge and skills for making data driven business decisions including the use of computer applications for problem solving. This course relies heavily on project based learning to provide students with the experience of solving data based business problems.

The course provides an overview of the purposes, methods, and techniques of data visualization, that includes planning, data gathering, data validation, data analysis, and visual presentation. Additionally, the course covers data mining, data storytelling, and the use of data to support decision-making.

A comprehensive analysis of the issues in starting and maintaining business in emerging and developing markets, building on data and research skills acquired in foundational international business courses.

Designed to provide senior students an opportunity to study selected topics of particular interest. A student may count no more than six hours of Special Topics in the concentration. Prerequisite: Approval of Department Chair.

Applied business project and paper prepared under the direction of a project advisor plus two other persons selected by the advisor in consultation with the student. The student must have developed a proposal for the project and paper in consultation with the advisor and received permission from the committee to proceed. In addition, the student must be entering his or her senior year and be a major in the Mitchell College of Business. The project proposal must be formulated no later than the end of the first semester of the student's senior year and the project must be completed by the student's graduation date. The student must have maintained his or her standing in the university honors program to be eligible to enroll in this course in his or her last full semester in school. The course may be counted in one of two ways: 1) as an additional course not counting towards the business degree, or 2) in special cases, as a major or business elective, to be decided by the committee.

Applied business project and paper prepared under the direction of a project advisor plus two other persons selected by the advisor in consultation with the student. The student must have developed a proposal for the project and paper in consultation with the advisor and received permission from the committee to proceed. In addition, the student must be entering his or her senior year and be a major in the Mitchell College of Business. The project proposal must be formulated no later than the end of the first semester of the student's senior year and the project must be completed by the student's graduation date. The student must have maintained his or her standing in the university honors program to be eligible to enroll in this course. The student will formally enroll in the course in his or her last full semester in school. The course may be counted in one or two ways: 1) as an additional course not counting towards the business degree, or 2) in special cases, as a major or business elective, to be decided by the committee. Requires completion of the business core with the exception of MGT 485.

Applied business project and presentation prepared under the direction of the instructor in consultation with the student. This course will have irregular meetings scheduled by the instructor and will have both a classroom component and a project component. The student must have maintained his/her standing in the Mitchell Scholars program and be a senior to be eligible to enroll in this course. This class will be counted in one of three ways: 1) as a business elective, 2) as an additional course not counting towards the business degree; or 3) in special cases, as a major elective to be decided by the major department's faculty. Requires completion of the business core with the exception of MGT 485 and approval of Associate Dean.

Examines issues in business administration in an international setting at the graduate level. Specific topics selected from the fields of accounting, economics, finance, information systems, management or marketing depending on the instructor's area of expertise. Part or all of the course will be conducted outside the United States. Prerequisite: Permission to enroll in a relevant Mitchell College of Business study abroad program.

This seminar provides an introduction to established theories and emerging trends in the field of organizational behavior. The course explores the thoughts, emotions, and behaviors of individuals within the context of work, teams, organizations and society. The emphasis is an organizational theory and development.

This course provides students with exposure to management concepts and theories that form the basis of literature separate from other seminars in the doctoral program. Given that cultural, law and politics shape the different business environments around the world, it is unsurprising that different management concepts and theories are found in other places as well. This seminar introduces doctoral students to those elements of the international business environment that have an impact on management theory and practice on other business environments.

The course is designed to broaden and enrich student's knowledge and understanding of statistical methodology as it pertains to the study of multivariate techniques used in behavioral research.

A study of applications of regression analysis used in business research. Topics include: a review of basic regression concepts and applications, multiple regression, residual analysis, model building, regression limitations and assumptions, time series modeling and forecasting, and case studies using regression techniques.

The course provides students with a functional understanding of the path analysis theory and procedures of structural equation modeling. Students will learn to specify, estimate, and evaluate models using AMOS software.

This course provides students with the tools and perspective necessary to succeed in the DBA program. Readings are drawn from several sources and provide participants with a better understanding of the way to approach their work.

This course provides an examination of statistical concepts used for business research. Topics include: fundamentals of probability, sampling, statistical estimation, test of hypotheses, analysis of variance, chi-square analysis and regression analysis. Emphasis is placed on the use of statistical techniques for business research applications.

The course is designed to broaden and enrich a student's knowledge and understanding of statistical methodology as it pertains to the study of multivariate techniques used in behavioral research.

This course introduces the foundations of Data Science and Business Analytics with focus on research design and data analytic methods in Accounting, Economics, Finance, Management, Marketing, and Real Estate.

This course focuses on the general concepts related to conducting academic research and the various research methods commonly used in business research, including quantitative and qualitative analysis.

This course provides students with a functional understanding of path analysis theory and procedures of structural equation modeling. Students will learn to specify, estimate, and evaluate models using software packages designed for this purpose.

Python programming for Business Analytics, with applications and examples from statistics, finance economics, marketing, management, accounting, and other business-related disciplines.

This course covers a variety of concepts and applied analytical methods useful in business research and analytics,, such as big data, data measurement and preparation, multi-source modeling files, data analysis and machine learning.

This course focuses on applied analytics. Students will complete the continuum of analytics including data source identification, data prep, descriptive and exploratory analytics, confirmatory and inferential analytics.

This course is designed for students who seek to develop skills in statistical computing using the R programming language. Students will learn how to use R for data manipulation, data visualization, writing statistical function, and optimizing statistical functions.

Advanced statistical and machine learning algorithms/techniques/methods for Business Analytics with applications from statistics, finance, economics, marketing, management, accounting, and other business-related disciplines.

Presentations and discussions related to teaching and research concepts.

Independent research by the student under the sponsorship of the graduate faculty.