Carlos Alvarez College of Business
Mission Statement
The Carlos Alvarez College of Business is dedicated to creating and sharing knowledge that enhances the translation of theory to practice. The College combines rigor with relevance and provides innovative solutions to global business challenges.
All Carlos Alvarez College of Business graduate business programs are currently accredited by AACSB International—The Association to Advance Collegiate Schools of Business—and conform to recommended guidelines.
College-wide Programs
- Master of Business Administration
- Master of Science in Business
- Master of Science in Data Analytics
- Executive Master of Business Administration
- Dual Master of Business Administration and Master of Public Health
- Graduate Certificate in Intelligence Studies
- Pre-Ph.D. Program
Department of Accounting
Department of Economics
- Master of Science in Economics – General Economics Concentration
- Master of Science in Economics – Financial Economics Concentration
- Master of Science in Economics – Business Data Analysis and Forecasting Concentration
- Accelerated Program in Economics
Department of Finance
- Master of Science in Finance
- Master of Science in Finance – Real Estate Finance and Development Concentration
- Doctor of Philosophy in Finance
- Graduate Certificate in Real Estate Finance and Development
Department of Information Systems and Cyber Security
- Master of Science in Information Technology
- Master of Science in Information Technology – Cyber Security Concentration
- Dual Master of Science in Information Technology with a Cyber Security Concentration / Master in Cybersecurity
- Doctor of Philosophy in Information Technology
- Graduate Certificate in Cloud Computing
- Graduate Certificate in Cyber Security
- Graduate Certificate in Project Management
- Graduate Certificate in Technology Entrepreneurship and Management
Department of Management
Department of Management Science and Statistics
- Master of Science in Statistics and Data Science
- Doctor of Philosophy in Applied Statistics
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Graduate Certificate in Operations and Supply Chain Management
Department of Marketing
- M.B.A.
- M.S. in Business
- M.S. in Data Analytics
- Accelerated Master of Science in Data Analytics
- Executive M.B.A.
- Dual M.B.A. and Master of Public Health
- M.B.A. / M.D.
- Pre-Ph.D. Pathway
Master of Business Administration Degree
The Master of Business Administration degree is designed to offer the opportunity for intensive education to qualified graduate students and is available to individuals with undergraduate degrees in the business administration areas, as well as to those with specializations outside the business field.
Students who enter the M.B.A. degree program must demonstrate proficiency with computer programs commonly used in business applications, including, but not limited to, spreadsheets, presentation, and word processing software. Special not-for-credit courses may be offered to address this need.
Program Admission Requirements
For admission to the M.B.A. program, applicants must meet University-wide graduate admission requirements. Applicants are further considered on the basis of demonstrated potential for success in graduate study in business administration as indicated by a combination of prior academic achievement, personal statement, résumé, and references.
The M.B.A. Programs Committee evaluates each applicant individually based on the complete package of submitted materials.
A complete application package will include:
- A completed application form.
- Transcripts from all universities attended.
- A personal statement.
- A current résumé with employment or other experience.
- At least two letters of reference.
Graduate admission test scores are no longer required. However, please note that competitive GMAT/GRE scores may help your chances of admission because, in addition to your GPA, the GMAT or GRE provides a quantitative metric for the M.B.A. Programs Committee to evaluate you as a candidate. Further, because the committee uses a holistic approach in evaluating graduate candidates, applicants should not be discouraged if their GMAT or GRE score is average or even slightly below average.
Degree Requirements
The M.B.A. program requires 36 semester credit hours of work.
| Code | Title | Credit Hours |
|---|---|---|
| A. 27 semester credit hours of required master's level business courses | 27 | |
| Business Foundations | ||
| Financial Accounting Concepts | ||
| Management and Behavior in Organizations | ||
| Accounting Analysis for Decision Making | ||
| Marketing Management | ||
| Financial Management | ||
| Management Science with Data Analytics | ||
| Managerial Economics | ||
| Strategic Management and Policy | ||
| B. 9 semester credit hours of elective master's level business courses | 9 | |
| Total Credit Hours | 36 | |
Degree Options
Students seeking the M.B.A. degree may select between two options to complete the required 36 semester credit hours.
Option 1: General M.B.A. Non-Thesis Option
Under Option 1, students are required to complete the 27 semester credit hours listed above and 9 semester credit hours of electives. These electives may be taken either in the College of Business or in areas outside of the College of Business as approved by the Graduate Program Committee.
Option 2: General M.B.A. Thesis Option
Under Option 2, students are required to complete the 27 semester credit hours listed above, 3 semester credit hours of electives as approved by the Graduate Program Committee, and 6 semester credit hours of Master’s Thesis. See the University’s requirements for a thesis in Master’s Degree Regulations.
Master of Science Degree in Business
The Master of Science in Business (M.S.B.) is tailored for students with wide-ranging educational backgrounds and designed specifically for students without a business background. The curriculum is designed to offer business skills and knowledge to qualified students meeting the admission requirements. Students with business degrees are also accepted into the program; however, they are encouraged to consider other specialized master’s programs or the M.B.A. program, where they can further explore deepening their business interests. The program, including admission, is supervised by the Graduate Program Committee in M.S.B. General requirements for completion of the program consist of required business courses.
Program Admission Requirements
For admission to the M.S.B. program, applicants must meet University-wide graduate admission requirements. Applicants will be considered based on their demonstrated potential for success in graduate study in business, as indicated by a combination of prior academic achievement, personal statement, résumé (optional), standardized test scores (optional), and letters of recommendation.
The M.S.B. Program Committee will evaluate each applicant individually based on the complete package of submitted materials.
A complete application package will include:
- A completed application form.
- Transcripts from all universities attended.
- A personal statement of academic and personal goals.
- At least two letters of reference.
- A current résumé with employment or other experience (optional).
Degree Options
The M.S.B. program is offered as either a full-time (11 or 16 months) cohort program or a flexible part-time program.
Degree Requirements
M.S.B. students are required to complete 30 hours of business courses plus 3 credit hours of developmental courses.
| Code | Title | Credit Hours |
|---|---|---|
| A. 30 semester credit hours of required master’s level business courses | 30 | |
| Financial Accounting Concepts | ||
| Managerial Economics and Business Strategy | ||
| Financial Management | ||
| Business Foundations and Analytics | ||
| Management and Behavior in Organizations | ||
| Leadership | ||
| Effective Negotiating | ||
| Strategic Management and Policy | ||
| Marketing Management | ||
| Essentials of Project Management | ||
| B. 3 semester credit hours of developmental courses | 3 | |
| Professional Development and Communication | ||
| Special Problems (Business Speaking) | ||
| Total Credit Hours | 33 | |
Master of Science Degree in Data Analytics
The Master of Science in Data Analytics (M.S.D.A.) program focuses on data science and big data-based business intelligence-oriented analytics algorithms, tools, techniques, and technologies. The plan of study features cohort classes, with students participating in formal internships and practical projects in a wide variety of application areas, including, but not limited, to business analytics. The program, including admission, is supervised by the Graduate Program Committee in M.S.D.A. General requirements for completion of the program consist of required business courses.
Program Admission Requirements
For admission to the M.S.D.A. program, applicants must meet University-wide graduate admission requirements. A degree of B.A. or B.S. in statistics, mathematics, engineering, computer science, information systems, information technology, or a closely related field is highly recommended. Applicants will be evaluated for success in the program based on demonstrable academic preparation and/or experience with respect to mathematics, statistics, and information technology. Some mathematical background is preferred (e.g., calculus and linear algebra), but it is not required. Information systems/technology courses, computer science courses, and/or professional experience related to databases, networks, distributed and cloud infrastructures, and programming are not required, but show foundational information technology preparation and are preferred in some combination.
Applicants will be considered on the basis of demonstrated potential for success in graduate study in business as indicated by a combination of prior academic achievement, personal statement, résumé, and letters of recommendation.
The M.S.D.A. Program Committee will evaluate each applicant individually based on the complete package of submitted materials.
A complete application package will include:
-
A completed application form.
-
Transcripts from all universities attended.
-
A personal statement of academic history and personal goals.
-
Letters of recommendation (optional).
-
A current résumé with employment or other experience.
Graduate admission test scores are no longer required. However, please note that competitive GMAT/GRE scores may help your chances of admission because, in addition to your GPA, the GMAT or GRE provides a quantitative metric for the M.S.D.A. Programs Committee to evaluate you as a candidate.
Degree Options
The M.S.D.A. offers both a 12-month and 21-month program. Both programs begin in the Fall semester. The 21-month program will have all classes in the evening.
Degree Requirements
M.S.D.A. students are required to complete 24 hours of required courses plus 6 hours of required practicum courses.
| Code | Title | Credit Hours |
|---|---|---|
| A. Master’s Level Courses | 27 | |
| Principles of Database Management | ||
| Data-Driven Decision Making and Design | ||
| Data Analytics Visualization and Communication | ||
| Data Analytics Applications | ||
| Data Analytics Practicum | ||
| Data Foundations | ||
| Deep Learning on Cloud Platforms | ||
| Statistical Modeling | ||
| Predictive Modeling | ||
| B. Elective Course | 3 | |
| Select an elective course from the list below: | ||
| Data Analytics Tools and Techniques | ||
| Networking and Telecommunication Systems | ||
| Regression Analysis | ||
| SAS Programming and Data Management | ||
| Simulation and Statistical Computing | ||
| Time Series Analysis and Applications | ||
| Multivariate Analysis | ||
| Design and Analysis of Experiments | ||
| Survival Analysis | ||
| Introduction to Statistical Learning | ||
| Total Credit Hours | 30 | |
Accelerated Master of Science in Data Analytics
The Alvarez College of Business (ACOB) offers an Accelerated Data Analytics Program tailored to UTSA students with exceptional motivation and qualifications. Designed to facilitate a seamless transition into a master’s program and provide an expedited admission process, this program allows participants to initiate their graduate studies as early as the senior year of their undergraduate education.
The benefit of the accelerated program is it allows students to complete some graduate courses while still earning their undergraduate degree. In addition, students have the potential to reduce their time until graduation (e.g., students can start completing their graduate-level coursework during their senior year) and save money (e.g., students are not charged an application fee and potentially could double count one course); the program also creates an easier transition into graduate school (i.e., a known admission into graduate school while in their undergraduate education and a constant connection with UTSA faculty and staff).
Program Admission Requirements
Applications to the Accelerated Program in Data Analytics must meet the following criteria1: 1) a current UTSA student, 2) completion of 90 semester credit hours in the semester of application, 3) a minimum grade point average of 3.0, and 4) earn a bachelor’s degree in a relevant STEM or business domain. Applicants must apply online2 for the Accelerated Program in Data Analytics and will be provided additional information upon receipt of their submission.
This program is tailored to cater to the following individuals:
- UTSA students interested in enhancing their undergraduate education in business or STEM fields and gaining expertise in Data Analytics via a master's degree. After appropriate consultation and approval from the program advisor, these students could replace some of the required Master of Science (M.S.) in Data Analytics courses with graduate electives. This would remove unnecessary course repetition and allow students to customize the program to better serve their professional needs.
- 1
These are the minimum criteria to be accepted into the Accelerated Program in Data Analytics. After completing the online survey, a Data Analytics faculty member will meet with each student to discuss their degree plan and the required expectations to be accepted into the Accelerated Program in Data Analytics.
- 2
Completing the survey is the first of two steps of the application process for the Accelerated Program in Data Analytics. It connects students who are interested in the program with Data Analytics faculty members, offers details about it and the second step of the application process, fosters mentoring connections with Data Analytics faculty members, and ultimately compiles a roster of students eligible for automatic admission into the M.S. in Data Analytics program through KRWU.
Degree Requirements
Bachelor's Degree Requirements
Students accepted into the Accelerated Program in Data Analytics are required to complete all the degree requirements associated with their bachelor's degree.
M.S. Degree Requirements
Students accepted into the Accelerated Program in Data Analytics are required to complete the standard degree requirement of the M.S. in Data Analytics.
Bachelor's/M.S. Classification
Upon acceptance into the Accelerated Program in Data Analytics, students are granted permission to enroll in graduate-level courses while still classified as undergraduates. Upon completing their bachelor's degree, students will receive a Keep Running with Us (KRWU) application to transition from undergraduate to graduate student status.
Executive Master of Business Administration
The Executive Master of Business Administration (E.M.B.A.) is a 43-credit hour version of the Master of Business Administration (M.B.A.) degree program structured specifically for executives, professionals, and rising leaders who have significant managerial experience. This 43-credit hour, five-semester plan of study features lockstep cohort classes, weekend/hybrid class scheduling, professional development and coaching, and an emphasis on acquiring advanced skills and knowledge needed to solve the pressing concerns of today's fast-paced economy. The E.M.B.A. is accredited by the AACSB International—The Association to Advance Collegiate Schools of Business—and conforms to its recommended guidelines.
E.M.B.A. Program Admission Requirements
Because of the special focus of the E.M.B.A. program, the application process is separate from and independent of the regular M.B.A. program. Admission decisions are not reciprocal, class size is limited, and admission decisions are made on a rolling basis until all available class positions are filled.
To be considered for admission to the E.M.B.A. program, applicants must:
- Submit a current resume documenting approximately 8 years of work experience with increasing managerial responsibility. Less experienced applicants will be considered if they can demonstrate exceptional accomplishment.
- Submit a personal statement discussing their interest in the E.M.B.A. program.
- Submit two (2) letters of professional reference.
- Submit official transcripts from all prior universities attended.
- Participate in a personal interview with the E.M.B.A. Programs Committee.
Applicants who fail to meet these requirements can be admitted conditionally upon recommendation of the E.M.B.A. Programs Committee and approval of the Dean of the Graduate School.
The GMAT or GRE is not required for admission into the E.M.B.A. program. Because of the lock-step nature of the E.M.B.A., students must complete all required courses without exception. There will be no course waivers. In addition, students who leave the program before completion for any reason are not eligible to rejoin the same cohort but may rejoin a subsequent cohort. Admission to future E.M.B.A. classes is dependent upon current academic status or successful reapplication. Acceptance in a future program is not guaranteed.
The Executive Master of Business Administration (E.M.B.A.) program offers a choice of two curriculum tracks. Students are eligible to choose a track after the first semester in the program. The General Management track weaves quantitative, analytical, and managerial learning threads throughout the program and covers general business courses. The Health Professionals track is for health professionals interested in further developing their business and leadership skills with healthcare specific courses. The offering of the Health Professionals track may be contingent on student enrollment.
| Code | Title | Credit Hours |
|---|---|---|
| A. Common courses required for both tracks: | 31 | |
| Financial Accounting Concepts | ||
| Financial Management | ||
| Special Topics in General Business Administration | ||
| Management and Behavior in Organizations | ||
| Leadership | ||
| Effective Negotiating | ||
| Strategic Management and Policy | ||
| Special Problems | ||
| Marketing Management | ||
| Data Analytics for Managers | ||
| Decision Analytics for Managers | ||
| B. EMBA Tracks. Students must choose one of the two tracks below: | 12 | |
| General Management Track | ||
| Accounting Analysis for Decision Making | ||
| Managerial Economics and Business Strategy | ||
| Corporate Restructuring | ||
| Ethics and Globalization | ||
| Health Professionals Track | ||
| Accounting for Healthcare Organizations (replaces ACC 5023) | ||
| Legal, Ethical, and Social Issues of Healthcare Management (replaces MGT 5253) | ||
| Healthcare Economics and Policy (replaces ECO 5023) | ||
| Organizational and Managerial Issues in Healthcare Delivery (replaces FIN 5823) | ||
| Total Credit Hours | 43 | |
Dual Master of Business Administration Degree and Master of Public Health Degree Program
This integrated dual degree program is designed to offer the opportunity for qualified graduate students to study both business administration and public health at the graduate level. It will assist students who enter with a wide range of work experience in their quest for advanced leadership and managerial or administrative roles within a variety of healthcare and public health organization types. The Master of Business Administration (M.B.A.) degree is offered through the UTSA College of Business, and the Master of Public Health (M.P.H.) degree is offered through The University of Texas School of Public Health (UTSPH) with courses available at its San Antonio Regional Campus.
Applicants will be admitted to the M.B.A. and M.P.H. degree programs independently, according to the admission schedule and policies of each institution. Applicants must submit all admission materials to each Admission office independently and on time. Admission to the integrated dual degree program may occur after a student has already matriculated in the M.B.A., M.P.H., or both degree programs, as long as the student is still within the first half of each program.
Each student is responsible for payment of tuition and fees at each institution at which the student is enrolled.
Required Courses
Students choosing the dual degree program must complete the 36 semester credit hours of M.B.A. coursework and the 45 semester credit hours of M.P.H. coursework. However, under this integrated dual-degree program, up to 12 semester credit hours of M.B.A. coursework can be applied to the M.P.H. requirements, and up to 12 semester credit hours of M.P.H. coursework can be applied to the M.B.A. requirements. These shared-credit courses substantially reduce the total time required for students to complete the programs, when compared with taking each of the two degree programs separately.
Students should refer to The University of Texas School of Public Health catalog for M.P.H. program admission and degree requirements.
Master of Business Administration / Doctor of Medicine Program
The Master of Business Administration (M.B.A.) / Doctor of Medicine (M.D.) program is a 36-credit hour version of the M.B.A. degree program structured specifically for those pursuing an M.D. at the University of Texas Health Science Center at San Antonio (UTHSC), UTHSC faculty, or UTHSC medical residents.
M.B.A. / M.D. Program Admission Requirements
To be considered for admission to the M.B.A / M.D. program, applicants must submit:
- A completed application form.
- Transcripts from all universities attended.
- A letter of nomination from the UTHSC program director.
The GMAT or GRE is not required for admission into the M.B.A. / M.D. program.
Pre-Ph.D. Pathway
The Pre-Ph.D. Pathway / Research Track Option will provide students with experience and training in the research necessary to make them competitive candidates for doctoral or other graduate programs in traditional business areas (e.g., accounting, finance, management, marketing, information systems), economics, and nascent areas, such as applied statistics, cyber security, to name a few. It will cultivate students' interest in pursuing a doctoral education and will position them to be successful applicants for doctoral or other graduate programs. The program responds to labor market demands suggesting an expanding need for business, economics, applied statistics, and cyber security professors and researchers. The program is open to all graduate students.
Participants are expected to take a series of three courses intended to equip them with the basic tools to conduct academic research, including but not limited to identifying original research questions, developing hypotheses, generating samples, creating datasets, and utilizing statistical tools and reporting to test hypotheses. Most students will be required to take the following course series: GBA 6013 Graduate Academic Research and Programming; GBA 6023 Research Conceptualization, Development, and Practice; GBA 6033 Research Implementation, Reporting and Engagement. Students with more technical backgrounds, whose interests reside in areas that require specialized training (e.g., applied statistics, cyber security, or economics), will have the opportunity (upon advisor approval) to take different courses that fit their needs.
Pre-Ph.D. Pathway / Research Track Option students will also have the opportunity to receive mentoring from faculty, present at research conferences, and attend workshops to prepare students for doctoral and other graduate programs (e.g., how to write a strong personal statement, how to select a graduate program, important things to know about graduate education, what is it like to be a college professor), and write research papers for journal publication.
Admission Requirements
The Pre-Ph.D. Pathway / Research Track Option is open to all UTSA graduate students, including graduate non-degree seeking students, regardless of their college or major. To join the Pre-Ph.D. Pathway / Research Track Option, current UTSA students should contact the Alvarez College of Business Research Office by email at gradbiz@utsa.edu or by telephone at (210) 458-7301. While applicants who are currently enrolled in a graduate degree program at UTSA have already met the University admission requirements, other college-wide requirements may apply.
Applicants who are not currently enrolled in a graduate degree program at UTSA will be required to apply for admission to UTSA as a special (non-degree seeking) graduate student and to indicate their intent to pursue the Pre-Ph.D. Pathway / Research Track Option course sequence. Meeting the University admission requirements does not guarantee admission. Questions should be directed to the Alvarez College of Business Research Office.
All students interested in the Pre-Ph.D. Pathway must submit a statement of purpose and a current résumé to the Alvarez College of Business Research Office.
Pre-Ph.D. Pathway Requirements
Below is the three-course suggested sequence for graduate students seeking to become competitive applicants in top business Ph.D. programs.
| Code | Title | Credit Hours |
|---|---|---|
| GBA 6013 | Graduate Academic Research and Programming | 3 |
| GBA 6023 | Research Conceptualization, Development, and Practice | 3 |
| GBA 6033 | Research Implementation, Reporting and Engagement | 3 |
Graduate Certificate in Intelligence Studies
The Graduate Certificate in Intelligence Studies is a 12-semester-credit-hour program designed to prepare individuals from a broad range of academic disciplines for a career in the Intelligence Community. Individuals with business, foreign language, social science, computer science, criminal science, engineering, or statistics backgrounds will benefit from this professional certificate. Individuals completing this certificate will gain a practical and hands-on knowledge of methods in intelligence collection, intelligence analysis, and reporting and briefing for the intelligence community. See the College of Business Critical Technology Studies Program website for more information.
Admission Requirements
The certificate is open to all UTSA graduate students, including non-degree seeking students, regardless of their college or major. Applicants who are currently enrolled in a graduate degree program at UTSA have already met University requirements for admission. Current students should contact the Critical Technology Studies Program and complete a form requesting permission to pursue the Intelligence Studies certificate via email at ctsp@utsa.edu or by telephone at (210) 458-7328.
Applicants who are not currently enrolled in a graduate degree program at UTSA will be required to apply for admission to UTSA as a special (non-degree-seeking) graduate student and to indicate their intent to seek admission into a certificate program. Students who meet general UTSA admission requirements are eligible for admission to this certificate program.
Certificate Program Requirements
To earn the Graduate Certificate in Intelligence Studies, students must complete 12 semester credit hours as follows:
| Code | Title | Credit Hours |
|---|---|---|
| Required Courses (9 semester credit hours): | 9 | |
| The Role of U.S. Intelligence in National Security | ||
| Analytical Writing, Reporting and Briefing for the Intelligence Community | ||
| Intelligence Reasoning Analysis | ||
| Select one course from the following (3 semester credit hours): | 3 | |
| Global Security | ||
| Cyber Threat Hunting | ||
| Methods in Intelligence Collection | ||
| Politics of U.S. National Security Policy Making | ||
| Total Credit Hours | 12 | |
Business Analytics (BAN) Courses
BAN 5003. Introduction to Business Analytics and Artificial Intelligence. (3-0) 3 Credit Hours.
This course offers an introduction to the fundamental concepts and applications of business analytics and artificial intelligence (AI) in the modern business environment. Students will explore the role of data-driven decision-making and AI technologies to gain competitive advantages. Key topics include data collection and management, statistical analysis, predictive modeling, and AI-driven business strategies. Through hands-on exercises and case studies, students will learn to apply analytical tools and AI techniques to solve real-world business problems and make informed decisions. By the end of the course, students will have a foundational understanding of how to leverage business analytics and AI to drive innovation and improve organizational performance. This course has Differential Tuition.
BAN 5103. Introduction to Statistics for Business Analytics. (3-0) 3 Credit Hours.
This foundational course aims to equip learners with essential statistical tools and methodologies for making informed, data-driven decisions in the business world. Students will explore core statistical concepts throughout this course, including probability theory, descriptive statistics, sampling design, hypothesis testing, and regression analysis. Emphasis will be placed on practical applications and the use of statistical software to analyze real-world business data. Students will learn to interpret statistical outputs, understand variability, and make predictions based on empirical evidence. By the end of this course, students will be adept at leveraging statistical techniques to solve business problems, enhance strategic decision-making, and provide actionable insights based on data analysis. This course has Differential Tuition.
BAN 6003. Data Management and Analytics Integration. (3-0) 3 Credit Hours.
This course provides an in-depth exploration of data management principles and the integration of advanced analytics in modern business environments. Students will learn how to effectively manage and govern data across an organization, ensuring data quality, consistency, and accessibility while adhering to data ethics and privacy regulations. The course covers key topics such as data warehousing, data lakes, cloud-based data solutions, and data governance frameworks. Additionally, students will explore integrating analytics tools and techniques, including data visualization, predictive modeling, and machine learning, to drive data-driven decision-making. Practical case studies and hands-on projects will enable students to apply their knowledge in real-world scenarios, preparing them for data management, analytics, and business intelligence positions. This course has Differential Tuition.
BAN 6103. Data Visualization and Communication for Business Applications. (3-0) 3 Credit Hours.
This course focuses on the principles and practices of effectively communicating data-driven insights to support business decision-making. Students will learn to translate complex data analyses into clear, actionable messages for diverse business audiences. The course covers data visualization techniques, storytelling with data, and the use of various tools to create compelling data presentations. Emphasis will be placed on tailoring communication strategies to different stakeholders, ensuring that data are appropriately understood and drive informed decision-making. Through case studies, hands-on projects, and presentations, students will develop the skills necessary to influence business decisions through clear and impactful data communication. This course has Differential Tuition.
BAN 6203. Decision-Making in Business. (3-0) 3 Credit Hours.
This course explores advanced techniques in optimization and simulation, focusing on their application to complex decision-making problems in various fields. Students will learn to formulate and solve optimization models, including linear, nonlinear, and integer programming. In addition, the course will cover simulation methods, emphasizing their use in analyzing and improving system performance. Through hands-on projects and case studies, students will develop the skills to apply these techniques to real-world scenarios, enhancing their ability to design efficient, effective solutions in business, engineering, and other disciplines. This course has Differential Tuition.
BAN 6303. Machine Learning for Business Analytics. (3-0) 3 Credit Hours.
This course explores the application of machine learning techniques to solve complex business problems. Students will learn to use various machine learning algorithms, such as regression, classification, clustering, neural networks, and ensemble methods, to analyze large datasets and uncover actionable insights. Emphasis is placed on understanding the practical implications of these techniques in a business context, including model evaluation, selection, and optimization. Through hands-on projects and case studies, students will develop the skills to apply machine learning to real-world business scenarios, enhancing their ability to make data-driven decisions. This course has Differential Tuition.
BAN 6403. Text Analytics for Business. (3-0) 3 Credit Hours.
This advanced course focuses on extracting actionable insights from unstructured text data, a critical skill in today's data-driven business environment. Students will explore the principles of text mining and natural language processing to transform raw text into valuable business intelligence. The course covers various modes for analyzing large volumes of text data, including social media, customer feedback, and other textual sources. Emphasis will be on applying these techniques to real-world business problems and making data-driven decisions. By the end of this course, students will be proficient in leveraging text mining techniques to uncover hidden patterns, trends, and insights from textual data, enhancing their ability to make informed business decisions. This course has Differential Tuition.
BAN 6503. Marketing Analytics. (3-0) 3 Credit Hours.
This course provides an in-depth exploration of data-driven marketing strategies and techniques. Students will learn to leverage analytical tools and methodologies to measure, manage, and analyze marketing performance. Topics include customer segmentation, predictive modeling, campaign effectiveness, and digital marketing analytics. The course emphasizes using data to inform marketing decisions, optimize marketing spend, and improve customer acquisition and retention. Through hands-on exercises and real-world case studies, students will gain practical experience in applying analytics to solve marketing challenges and drive business growth. This course has Differential Tuition.
BAN 6603. Analytics for Finance and Economics. (3-0) 3 Credit Hours.
This course examines the analysis of financial and economic data. Students will learn advanced techniques for modeling and predicting trends, cycles, and seasonal patterns in financial markets and economic indicators. Key topics include ARIMA models, GARCH models, cointegration, vector autoregression (VAR), and machine-learning approaches to time-series forecasting. The course emphasizes practical applications, allowing students to develop predictive models and perform scenario analysis on real-world financial and economic datasets. By the end of the course, students will be equipped to make informed predictions and strategic decisions based on time-series analysis. This course has Differential Tuition.
BAN 6703. Capstone Project in Business Analytics. (3-0) 3 Credit Hours.
The Capstone Project in Business Analytics is the culminating experience for students in the Master’s in Business Analytics program. This course allows students to integrate and apply the knowledge and skills acquired throughout their coursework to a real-world business problem or research question. In this course, students will work in teams or individually to tackle a comprehensive analytics project, which may involve collaborating with industry partners, utilizing large datasets, and applying advanced analytical techniques. The project will require students to demonstrate their ability to conduct thorough data analysis, develop actionable insights, and professionally present their findings. This course has Differential Tuition.
BAN 6943. Business Analytics Internship. (0-0) 3 Credit Hours.
Prerequisite: Graduate standing, 15 semester credit hours of graduate work, and consent of instructor. The internship must be approved in advance by the Internship Coordinator and the student’s Graduate Advisor of Record. The internship is a supervised experience relevant to the student's program of study within selected organizations and agencies. Individual written reports are required. This course has Differential Tuition.
BAN 6953. Independent Study. (0-0) 3 Credit Hours.
Prerequisite: Graduate standing and permission in writing (form available) from the instructor and the student's Graduate Advisor of Record. Independent reading, research, discussion, and/or writing under the direction of a faculty member. For students needing specialized work not typically or not often available as part of the regular course offerings. May be repeated for credit, but not more than 6 hours, regardless of discipline, will apply to the degree. This course has Differential Tuition.
BAN 6973. Special Topics in Business Analytics. (3-0) 3 Credit Hours.
Prerequisite: Consent of instructor. An organized course offering the opportunity for specialized study not typically or not often available as part of the regular course offerings. Special Topics courses may be repeated for credit when the topics vary, but not more than 6 hours, regardless of discipline, will apply to the degree. This course has Differential Tuition.
BAN 6983. Master's Thesis. (0-0) 3 Credit Hours.
Prerequisite: Permission of the Graduate Advisor of Record and Thesis Director. Thesis research and preparation. May be repeated for credit, but not more than 6 semester credit hours will apply to a Master’s degree. Credit will be awarded upon completion of the thesis. Enrollment is required each term in which the thesis is in progress. This course has Differential Tuition.
Doctor of Business Administration (DBA) Courses
DBA 7003. Global Business and Economics. (3-0) 3 Credit Hours.
This course is designed to provide an in-depth understanding of the complexities and dynamics of the global business environment. This course explores key economic theories and their applications in international markets, including trade policies, global financial systems, and the impact of geopolitical factors on business strategies. Students will engage with advanced topics such as international business operations, global supply chain management, cross-border mergers and acquisitions, and the challenges of competing in diverse cultural and regulatory contexts. The course aims to equip future business leaders with the analytical tools and strategic insights needed to navigate and succeed in a rapidly evolving global economy. This course has Differential Tuition.
DBA 7013. Organizational Behavior and Leadership. (3-0) 3 Credit Hours.
This course explores the dynamic relationship between individual behavior, group interactions, and organizational processes. Students will examine foundational and contemporary theories of leadership, motivation, decision-making, and organizational culture. The course emphasizes the role of leadership in fostering effective communication, team dynamics, and managing change within global organizations. Through case studies and applied research, students will develop advanced skills in leadership strategies, ethical decision-making, and fostering innovation in diverse and complex environments. This course has Differential Tuition.
DBA 7023. Research Design and Survey Design. (3-0) 3 Credit Hours.
This course provides an in-depth exploration of the principles and methods for designing robust research studies and surveys within the business context. Students will learn how to develop effective research questions, sample subjects, select appropriate research methodologies, and construct surveys that yield reliable and valid data. The course emphasizes the practical applications for business problem-solving and decision-making. By the end of the course, students will be equipped to design and conduct research projects that contribute to academic knowledge and offer actionable insights for business leaders. This course has Differential Tuition.
DBA 7103. Marketing Strategy and Consumer Behavior. (3-0) 3 Credit Hours.
This course explores the strategic frameworks and analytical models that shape marketing decisions in today's dynamic business environment. The course emphasizes the intersection of marketing strategy and consumer psychology, focusing on how companies can effectively align their marketing efforts with consumer needs, motivations, and behaviors. Topics include segmentation, targeting, positioning, consumer decision-making processes, branding, digital marketing, and the impact of cultural and psychological factors on consumer behavior. Through case studies, research analysis, and practical applications, students will develop critical insights to enhance marketing strategies and drive business success. This course has Differential Tuition.
DBA 7113. Human Resource Management. (3-0) 3 Credit Hours.
This course focuses on the strategic role of human resources in fostering organizational growth and competitive advantage. It examines key concepts such as talent acquisition, employee development, leadership, performance management, and organizational culture. Emphasizing both theoretical frameworks and practical applications, the course explores how human capital strategies can enhance productivity, innovation, and employee engagement in a global business environment. Students will develop skills to effectively manage and develop human resources to align with organizational goals and navigate complex workforce challenges. This course has Differential Tuition.
DBA 7123. Advanced Research Design. (3-0) 3 Credit Hours.
This advanced statistics course focuses on complex analyses relevant to education and data-driven decision-making aimed at expanding students' knowledge of multivariate techniques. The course emphasizes the practical application of advanced statistical concepts, providing a balance between theoretical understanding and real-world application. Through hands-on opportunities, students will apply statistical methods to solve practical problems. This course has Differential Tuition.
DBA 7203. Innovation and Entrepreneurship. (3-0) 3 Credit Hours.
This course explores the dynamic processes of creating and managing new ventures, focusing on fostering innovation and entrepreneurial thinking within organizations. It covers critical concepts such as idea generation, business model development, strategic planning, and scaling businesses in competitive environments. The course emphasizes the role of innovation in driving business growth and sustainability, examining both internal corporate entrepreneurship (intrapreneurship) and external venture creation. Students will develop critical skills in risk management, opportunity recognition, and leadership in rapidly changing markets. This course has Differential Tuition.
DBA 7213. Business Statistics and Data Visualization. (3-0) 3 Credit Hours.
This course equips students with essential statistical tools and techniques for analyzing business data and making data-driven decisions. The course covers foundational statistical concepts, including probability, hypothesis testing, regression analysis, and descriptive statistics, with a strong emphasis on practical application in real-world business scenarios. Students will also explore advanced data visualization techniques, using modern software tools to create compelling, insightful visual representations of complex data sets. The course emphasizes interpreting and presenting statistical results effectively to inform decision-making processes, enhancing students' analytical and communication skills in business environments. This course has Differential Tuition.
DBA 7223. Qualitative Research Methods for Business. (3-0) 3 Credit Hours.
This course is designed to equip students with the skills and knowledge to apply qualitative research techniques in business contexts. The course covers various qualitative methodologies such as case studies, ethnography, grounded theory, and narrative analysis, emphasizing their relevance to solving complex business problems. Students will learn to collect, analyze, and interpret non-numerical data, such as interviews and observations, to gain deep insights into organizational behaviors, consumer patterns, and market dynamics. The course also introduces Artificial Intelligence (AI), Natural Language Processing (NLP), and text analysis to analyze qualitative data. This course has Differential Tuition.
DBA 7303. Leadership Theory and Practice. (3-0) 3 Credit Hours.
This course offers an in-depth exploration of leadership theories and their practical application in organizational settings. Students will critically examine classical and contemporary leadership models, including transformational, transactional, servant, and authentic leadership. The course emphasizes the integration of theoretical perspectives with real-world leadership challenges, fostering the development of strategic decision-making, ethical leadership, and effective team management. Through case studies, reflective exercises, and applied research, students will gain the tools to lead diverse organizations, drive innovation, and influence organizational change in complex environments. This course has Differential Tuition.
DBA 7313. Predictive Modeling and Machine Learning. (3-0) 3 Credit Hours.
This advanced course is designed to equip students with advanced analytical tools and techniques used in modern business decision-making. This course covers the fundamental principles of predictive modeling, machine learning algorithms, and their applications in various business scenarios. Students will explore supervised and unsupervised learning, regression models, decision trees, neural networks, and ensemble methods, emphasizing utilizing these techniques to identify patterns, forecast trends, and make data-driven decisions. Practical applications and case studies are used to demonstrate real-world business solutions, enhancing strategic thinking and analytical skills. This course has Differential Tuition.
DBA 7323. Advanced Managerial Accounting. (3-0) 3 Credit Hours.
The course provides an in-depth exploration of advanced managerial accounting concepts and practices, focusing on decision-making, planning, and control in complex business environments. Students will examine cost behavior, performance measurement, budgeting, and strategic cost management, utilizing quantitative and qualitative approaches to enhance organizational effectiveness. Emphasis is placed on integrating financial and non-financial information to support long-term planning and operational efficiency, as well as the role of managerial accounting in shaping business strategy and achieving competitive advantage. This course has Differential Tuition.
DBA 7403. Strategic Management. (3-0) 3 Credit Hours.
The course offers an advanced exploration of formulating, implementing, and evaluating business strategies within complex and dynamic environments. Designed for doctoral candidates, this course integrates cutting-edge theories with practical applications to enhance strategic decision-making skills. Topics include competitive analysis, resource-based perspectives, innovation management, global strategy, and corporate governance. Through case studies, real-world projects, and academic research, students will develop critical insights into how firms can achieve sustainable competitive advantage and navigate evolving market challenges. This course prepares students for leadership roles in strategy formulation and execution across diverse industries. This course has Differential Tuition.
DBA 7413. Advanced Business Statistics. (3-0) 3 Credit Hours.
This advanced course is designed to equip doctoral candidates with advanced knowledge and practical skills in statistical methodologies relevant to business research. This course delves into complex statistical techniques such as factor analysis, structural equation modeling, time series analysis, survival analysis, cluster analysis, and categorical data analysis. Students will learn how to apply these methods to analyze datasets, interpret findings, and make data-driven decisions in a business context. Emphasizing theoretical understanding and practical application, the course prepares students to conduct rigorous research and contribute to data-informed strategies in their respective fields. This course has Differential Tuition.
DBA 7503. Applied Marketing Research. (3-0) 3 Credit Hours.
This course explores the marketing research process in relation to key marketing concepts such as consumer behavior, market segmentation, branding, customer service, pricing strategies, distribution channels, integrated marketing communications, and sales. It provides an in-depth examination of each stage of the research process, including survey design, data collection methods, data analysis techniques, and reporting findings. This course has Differential Tuition.
DBA 7513. Financial Markets and Risk Management. (3-0) 3 Credit Hours.
The course provides an in-depth exploration of global financial markets and the various risks that impact financial institutions and investors. The course covers critical topics such as market structure, financial instruments, portfolio theory, derivatives, and regulatory frameworks. Students will develop advanced analytical skills to assess and manage financial risks, including credit, market, liquidity, and operational risks. Through a combination of theoretical models and practical case studies, the course equips students with the tools to make informed decisions in risk management and navigate the complexities of financial markets effectively. This course has Differential Tuition.
DBA 7613. Doctoral Research. (0-0) 3 Credit Hours.
This course offers a comprehensive framework for doctoral students to undertake original research that contributes to the field of business. Students will engage in rigorous academic research, selecting a topic aligned with their professional interests and academic objectives. Through guided instruction, they will formulate research questions, conduct a thorough literature review, develop a research methodology, collect and analyze data, and present their findings through a course presentation or written paper. The course emphasizes producing high-quality work that advances both business theory and practice. At the conclusion of this course, students will complete a research project that showcases their ability to perform independent research, integrate complex concepts, and effectively communicate their findings in a scholarly format. May be repeated for up to 9 credits. This course has Differential Tuition.
DBA 7713. Doctoral Dissertation. (0-0) 3 Credit Hours.
Prerequisite: Admission to candidacy for Doctoral degree in Business Administration. May be repeated for credit, but not more than 12 hours may be applied to the Doctoral degree. This course has differential tuition.
Business of Health (BOH) Courses
BOH 6123. Healthcare Strategic Management. (3-0) 3 Credit Hours.
Prerequisite: MGT 5003, an equivalent, or consent of instructor. Strategic management of healthcare organizations involves both making good decisions about where you want your organization to go and deciding how to get there. This course will focus on both direction issues and execution issues. Students will do case studies of current healthcare organizations. (Same as MGT 6123. Credit cannot be earned for both MGT 6123 and BOH 6123.) This course has Differential Tuition.
BOH 6133. Organizational and Managerial Issues in Healthcare Delivery. (3-0) 3 Credit Hours.
Prerequisite: MGT 5003, an equivalent, or consent of instructor. An analysis of the organizational and managerial implications of clinical issues in the delivery of healthcare. Students have the opportunity to examine quality of care issues and concerns related to patient care that affect how healthcare organizations are managed. (Same as MGT 6133. Credit cannot be earned for both MGT 6133 and BOH 6133.) This course has Differential Tuition.
BOH 6763. Legal and Tax Strategies for Healthcare Organizations. (3-0) 3 Credit Hours.
Prerequisite: ACC 5003, an equivalent, or consent of instructor. Overview of taxation and related legal issues affecting the healthcare industry. Topics include tax-exempt organizations, community benefit standards, choice of organizational form, and tax planning strategies for healthcare organizations and professionals. (Same as ACC 6763. Credit cannot be earned for both ACC 6763 and BOH 6763.) This course has Differential Tuition.
BOH 6773. Seminar in Medicare Regulation. (3-0) 3 Credit Hours.
Prerequisite: ACC 5003, an equivalent, or consent of instructor. Seminar in Medicare covered services, payment systems and compliance for healthcare providers. Emphasis is on understanding the role of Medicare in the American healthcare system, and developing the technical skills to identify and research problems in Medicare payments. Topics include Medicare administration and covered services, Part A hospital insurance benefits, Part B supplementary medical insurance benefits, Part C Medicare Advantage benefits, Part D prescription drug benefits, exclusions from coverage, provider payment rules, fraud & abuse, recovery audits, physician self-referral, anti-dumping rules, claims & appeals, and managed care plans. Includes practical experience using online research software, a comprehensive Medicare hospital cost report, and professional cost reporting software. (Same as ACC 6773. Credit cannot be earned for both ACC 6773 and BOH 6773.) This course has Differential Tuition.
BOH 6783. Accounting for Healthcare Organizations. (3-0) 3 Credit Hours.
Prerequisite: ACC 5003, an equivalent, or consent of instructor. A seminar on financial and managerial accounting in for-profit and nonprofit healthcare organizations. Accounting issues related to strategic decision-making in health service production, financing, and investment will be emphasized throughout the course. Topics include the healthcare accounting and financial environment, revenue and expense recognition, balance sheet valuations, ratio analysis, cost accounting, performance measurement, variance analysis, physician compensation and practice valuation, tax-exemption issues, mergers, and disclosure requirements. Special attention is given to the financial implications of third-party payment systems and accounting analyses for physician practices. Includes practical experience using actual healthcare case materials. (Same as ACC 6783. Credit cannot be earned for both ACC 6783 and BOH 6783.) This course has Differential Tuition.
Data Analytics (DA) Courses
DA 6213. Data-Driven Decision Making and Design. (3-0) 3 Credit Hours.
This course introduces students to the process of making organizational decisions using data-driven techniques. Specifically, this course emphasizes question formulation, hypothesis development, data analysis, model building, and model testing using business case studies. The first component of this course focusses on data-driven decision making using linear and logistic regression analysis. The second component of this course focusses on time series analysis using regression, Exponential Smoothing, ARIMA, ARIMAX, and Unobserved Component modeling-based approaches. The third component of this course focusses on survival analysis using non-parametric, semi-parametric, and parametric methods. Appropriate statistical software will be used throughout this course to demonstrate various methods. This course has Differential Tuition.
DA 6223. Data Analytics Tools and Techniques. (3-0) 3 Credit Hours.
This course offers an introduction to big data analytics using the SAS Enterprise Guide and SQL procedure, essential tools for today's analytical industry. Students will be provided with the opportunity to gain education and experience in managing real-world, complex datasets, addressing challenges such as missing values and data errors. The curriculum covers data importation from various sources, effective data merging, table restructuring, data recoding, conditional processing, summary statistics, and data visualization. Designed for those new to data analytics, this course emphasizes practical skills over programming formalisms, preparing students for applied data analysis tasks. This course has Differential Tuition.
DA 6233. Data Analytics Visualization and Communication. (3-0) 3 Credit Hours.
Since the purpose data analytics is to inform and facilitate better data-driven decisions, and transform data to information and knowledge, the ability to effectively communicate data aggregations, summarizations, and analytic findings to decision makers is very important. The ability to communicate highly complex analyses and scientific findings to a non-technical audience is challenging. This course will educate students on common mistakes and success factors in technical communication, and give them experience communicating findings orally and in writing. The course will also focus heavily on data analytics visualization approaches and tools. Students will be provided the opportunity to learn common methods for data visualization for a wide variety of data types and data analytics applications. This course has Differential Tuition.
DA 6813. Data Analytics Applications. (3-0) 3 Credit Hours.
Students will be presented a big picture understanding of data analytics, including its purpose, common benefits and challenges, important analytic processes, and what is needed to perform data analytics, such as skills, tools, technology, etc. Students will be introduced to a wide variety of data analytics applications in a wide variety of fields, which may include some of the topics from fields such as information technology, cyber security, bioinformatics, biomedical/health, insurance and risk, finance, economics, accounting, business intelligence, crime and fraud detection, marketing and customer analytics, energy and environment, manufacturing and operations, and logistics and supply chain. This course has Differential Tuition.
DA 6821. Data Analytics Practicum I. (1-0) 1 Credit Hour.
This course presents students with practical knowledge, skills, and experience needed to conduct real-world, high-quality data analytics in an application area of interest. Students will meet formally with their peers and the instructor for the purpose of facilitating the practicum experience. In the first 1 credit semester of this course students will learn how to identify the proper statistical technique to apply to a problem, complete a set of modules that review basic statistical fundamentals and have the opportunity to gain a first experience at data analysis using small time series data sets. During the second 2 credit semester of the practicum, students will engage in a project that incorporates the following steps of the data analytics process: problem defining, question formulation, hypothesis development, preliminary analytics, analytical design, data acquisition, data preparation and pre-processing, and initial data analysis as well as develop some fundamental coding skills using a large, real world data set. In addition, they will acquire training in analytical and statistical techniques including introduction to social network analysis as well as an introduction to a number of other statistical methods designed to encourage the student to explore and learn more advanced techniques. May be repeated for credit.
This course has Differential Tuition.
DA 6822. Data Analytics Practicum I. (2-0) 2 Credit Hours.
This course presents students with practical knowledge, skills, and experience needed to conduct real-world, high-quality data analytics in an application area of interest. Students will meet formally with their peers and the instructor for the purpose of facilitating the practicum experience. In the first 1 credit semester of this course students will learn how to identify the proper statistical technique to apply to a problem, complete a set of modules that review basic statistical fundamentals and have the opportunity to gain a first experience at data analysis using small time series data sets. During the second 2 credit semester of the practicum, students will engage in a project that incorporates the following steps of the data analytics process: problem defining, question formulation, hypothesis development, preliminary analytics, analytical design, data acquisition, data preparation and pre-processing, and initial data analysis as well as develop some fundamental coding skills using a large, real world data set. In addition, they will acquire training in analytical and statistical techniques including introduction to social network analysis as well as an introduction to a number of other statistical methods designed to encourage the student to explore and learn more advanced techniques. This course has Differential Tuition.
DA 6833. Data Analytics Practicum. (3-0) 3 Credit Hours.
Students will work on a major data analytics project, focusing on the analysis and presentation of results portion of the process. The next steps will be detailed data analysis, conclusion drawing, report preparation and refinement, presentation preparation and final presentation. The practicum will culminate in a formal, completed report to the supporting organization, as well as to data analytics peers and professors. Students who earn a grade of "B" (3.0) or better in this course will satisfy the comprehensive examination requirement. A student who receives a grade of "B-," "C+," or "C" may still satisfy this requirement by successfully passing a comprehensive examination as set out in this catalog. This course has Differential Tuition.
General Business Administration (GBA) Courses
GBA 6013. Graduate Academic Research and Programming. (3-0) 3 Credit Hours.
Prerequisite: Consent of instructor. The course introduces academic research in business, economics and related areas through a series of readings and exercises delivered in seminar format. The first part of the course introduces the scientific method, defines and distinguishes elements, such as theories, propositions, and hypotheses, and equips students with concepts and tools to identify original research questions. The second part of the course is empirical in nature and equips students with basic skills in sample selection/construction methods, multi-source data processing, merging and cleaning, and statistical analyses to answer research questions. More generally, the course explores the nature of doctoral and graduate programs and careers in business academia. This course has Differential Tuition.
GBA 6023. Research Conceptualization, Development, and Practice. (3-0) 3 Credit Hours.
Prerequisite: GBA 6013 (MS 3043, or MS 5003, or MBA 5413 or equivalent), and consent of instructor. This is the first in a two-part sequence of courses focusing on the practice and execution of academic research in business, economics, and related areas, including identifying and articulating original research questions, developing hypotheses (using theory or existing academic research), generating samples and datasets, and utilizing statistical tools to test research questions. This course emphasizes the writing and documentation of code, writing and presentation of research findings. This course has Differential Tuition.
GBA 6033. Research Implementation, Reporting and Engagement. (3-0) 3 Credit Hours.
Prerequisite: GBA 6023 and consent of instructor. This is the second course in a two-part sequence of courses focusing on the practice and execution of academic research in business and economics, and related areas. This course continues to emphasize the empirical aspects of academic research and progresses to developing a manuscript (based on the student’s research area and interest) containing all of its basic elements (i.e., introduction, background, hypotheses development, research design, results, conclusion, and references). The course further emphasizes the importance of writing and presentation of ideas and research findings for publication in academic journals. Topics related to the selection of research outlets are incorporated. This course has Differential Tuition.
GBA 6302. Professional Development and Communication. (2-0) 2 Credit Hours.
Prerequisite: Consent of instructor. This course is designed to enhance the student's ability in and experience with building networking skills, verbal and written communication skills, business etiquette, and learning how to increase their professional human capital. Students will learn how to build a personal career portfolio (an approved resume, a LinkedIn profile, etc.), how to market themselves, how to prepare for internship and job placement interviews, how to utilize professional networking, and how to work effectively and professionally in collaborative settings. The goal is to make students more marketable and valuable professionals to the global economy. Written assignments and attendance at course-related seminars are required. This course has Differential Tuition.
GBA 6883. Global Business Immersion. (0-0) 3 Credit Hours.
Prerequisite: 6 College of Business semester credit hours and official admission into the Business Immersion Program. An advanced field-trip course designed to provide intensive exposure to the business practices of the locations visited. The pre-departure activities enhance prior knowledge of the local business climate and culture. The in-country activities include visits to local companies and workshops hosted by local professors. The post-immersion components engage students in reflection opportunities and applied project experiences. This course relies heavily on experiential components. Attendance to all official course events is required. This course may be repeated for credit. This course has Differential Tuition.
GBA 6933. Business Foundations and Analytics. (3-0) 3 Credit Hours.
This course is designed to provide students with a conceptual foundation for business analysis and decision-making. Topics will include an overview of business organizations, industry structure, the time value of money, and an introduction to managerial decision analysis using quantitative and statistical tools. This course has Differential Tuition.
GBA 6941. Graduate Internship. (0-0) 1 Credit Hour.
Prerequisite: Graduate standing, 15 semester credit hours of graduate work, and consent of instructor. Internship must be approved in advance by the Internship Coordinator and the student’s Graduate Advisor of Record. Supervised full- or part-time, off-campus work experience and training in business operations and/or management. Individual conferences and written reports required. This course has Differential Tuition.
GBA 6972. Special Topics in General Business Administration. (2-0) 2 Credit Hours.
Prerequisite: Consent of instructor. An organized course offering the opportunity for specialized study not normally or not often available as part of the regular course offerings. Special Topics courses may be repeated for credit when topics vary, but no more than 6 hours, regardless of discipline, will apply to the degree. This course has Differential Tuition.
GBA 6973. Special Topics in General Business Administration. (3-0) 3 Credit Hours.
Prerequisite: Consent of instructor. An organized course offering the opportunity for specialized study not normally or not often available as part of the regular course offerings. Special Topics courses may be repeated for credit when topics vary, but no more than 6 hours, regardless of discipline, will apply to the degree. This course has Differential Tuition.
GBA 7013. Research Methods I. (3-0) 3 Credit Hours.
Prerequisite: Consent of instructor. An introduction to the research process. The course examines the scientific method, issues in the philosophy of science, ethical issues in research, and an introduction to basic experimental and quasi-experimental design principles and threats to validity. The course also examines the elements of scientific paper writing. This course has Differential Tuition.
GBA 7023. Research Methods II. (3-0) 3 Credit Hours.
Prerequisite: Consent of instructor. A survey of contemporary research design and data collection methods, including archival data, surveys, interviews, and qualitative research methods. This course has Differential Tuition.
GBA 7103. Doctoral Teaching Seminar. (3-0) 3 Credit Hours.
A critical examination of teaching philosophies and pedagogical styles. Topics include course construction, content selection, and student learning. This course has Differential Tuition.
Master of Business Administration (MBA) Courses
MBA 5113. Business Foundations. (3-0) 3 Credit Hours.
A first semester MBA degree course designed to provide students with a conceptual foundation for business analysis and decision-making. Topics will include overview of business organizations, industry analysis, and time value of money. This course has Differential Tuition.
MBA 5133. Financial Accounting Concepts. (3-0) 3 Credit Hours.
An intensive study of accounting as a tool to communicate financial information for planning, analyzing, and controlling business enterprises directed toward decision-making. (Same as ACC 5003. Credit cannot be earned for both ACC 5003 and MBA 5133.) This course has Differential Tuition.
MBA 5213. Management and Behavior in Organizations. (3-0) 3 Credit Hours.
Prerequisite: Completion of or concurrent enrollment in MBA 5113 and MBA 5133. The course focuses on factors affecting individual and group behavior in organizations. It includes organizational behavior topics such as motivation, perception, job attitudes, job design, leadership, and individual differences. It also includes organizational theory topics such as organizational structure, design, culture, and environmental influences. (Same as MGT 5043. Credit cannot be earned for both MBA 5213 and MGT 5043.) This course has Differential Tuition.
MBA 5233. Accounting Analysis for Decision Making. (3-0) 3 Credit Hours.
Prerequisite: MBA 5113 and MBA 5133. The study of accounting and its uses by management in the decision-making process. (Same as ACC 5023. Credit cannot be earned for both ACC 5023 and MBA 5233.) This course has Differential Tuition.
MBA 5313. Marketing Management. (3-0) 3 Credit Hours.
Prerequisite: Completion of or concurrent enrollment in MBA 5113 and MBA 5133. An analysis of marketing management processes within organizations. Focus is on the use of strategic planning and market analysis to design marketing programs in competitive environments. (Same as MKT 5023. Credit cannot be earned for both MBA 5313 and MKT 5023.) This course has Differential Tuition.
MBA 5333. Financial Management. (3-0) 3 Credit Hours.
Prerequisite: MBA 5113 and MBA 5133. The study of concepts related to the financial management of the firm. Topics include asset and liability management, capital investment analysis and valuation, risk and uncertainty, sources and costs of financial alternatives, corporate financial policy, and other corporate financial management topics. (Same as FIN 5023. Credit cannot be earned for both FIN 5023 and MBA 5333.) This course has Differential Tuition.
MBA 5413. Management Science with Data Analytics. (3-0) 3 Credit Hours.
Prerequisite: MBA 5113 and MBA 5133. This course provides students with knowledge and applications of quantitative methods and data analytics tools commonly used in the fields of management science and operations management. The focus is to demonstrate how to analyze raw data and solve managerial and technical problems encountered in various functional areas in business. The topics covered under the “data analytics” portion of the course include descriptive analytics, measures of location/shape/variability, normal probability distributions, sampling distributions, confidence interval estimation, hypothesis testing, and simple/multiple linear regression. The topics covered under the “management science” portion of the course include time series analysis and forecasting, and various optimization tools such as linear and integer linear programming, and distribution and network models. Computer software and spreadsheet models are adopted in the instructions. This course has Differential Tuition.
MBA 5513. Managerial Economics. (3-0) 3 Credit Hours.
Prerequisite: MBA 5113 and MBA 5133. Application of price theory to economic decisions of the firm. An applications-oriented approach emphasizing demand, production, and profit maximizing conditions, and their implications for output and pricing strategies under various market structures and types of organization. (Same as ECO 5023. Credit cannot be earned for both ECO 5023 and MBA 5513.) This course has Differential Tuition.
MBA 5613. Strategic Management and Policy. (3-0) 3 Credit Hours.
Prerequisite: Completion of all other MBA Core courses or approval of instructor, Department Chair, and Associate Dean of the Office of Graduate Studies. A course intended to integrate material taken in the M.B.A. program, as well as to broaden the horizons of the student beyond the focus on the firm. The macroeconomic aspects of the economy and contemporary problems and trends of business are covered. Students who earn a grade of "B" (3.0) or better in this course will satisfy the comprehensive examination requirement. A student who receives a grade of "B-," "C+," or "C" may still satisfy this requirement by successfully passing a comprehensive examination as set out in this catalog. (Same as MGT 5903. Credit cannot be earned for both MBA 5613 and MGT 5903.) This course has Differential Tuition.