The Master of Science in Organizational Leadership prepares graduates to become intelligent, ethical, supportive leaders in a variety of roles, organizations and industries. Program Director Tom Sechrest explains how this St. Edward’s University graduate program prepares leaders to thrive and make a positive organizational impact. Check out this helpful Q&A with Sechrest.

Learning Goals:
After completing the online Master of Science in Organizational Leadership program, you will be able to:

• Demonstrate the ability to examine leadership issues from the vantage of the whole system to clarify purpose, align resources and mobilize change toward a preferred and sustainable future.
• Apply mindful leadership to help change efforts be more adaptable, resilient, entrepreneurial, creative, ethical and sustainable.
• Identify key issues in complex change efforts and then formulate appropriate interventions to achieve desired results.
• Take appropriate and grounded leadership actions that integrate individual and collective learning about change efforts, helping to collaboratively achieve transformational results consistent with an organization’s mission and values.
• Effectively communicate strategic direction, intent and process.

The curriculum for the MS in Organizational Leadership program consists of 10 core courses for a total of 30 credit hours. Courses are delivered in an accelerated online delivery format. Each course is seven weeks long, allowing students to take two courses per semester (thus qualifying for federal loan eligibility) and to complete the degree in five semesters (16 weeks). Courses are offered in a cohort format in which entering students complete all core courses with the same group of students.

Organizational Leadership Core Courses

• Leadership Foundations and Formation
• Principles and Practices of Organizational Change
• Data Analytics for Leaders
• Becoming a Strategic Leader
• Cultural and Critical Inquiry
• Leadership and Social Justice
• Conflict Analysis and Resolution
• Executing Strategic Change
• Contemporary Issues in Leadership and Change
• Advocacy and Inclusivity in Organizations

For detailed degree requirements and course descriptions, please see the Graduate Bulletin or request more information.

At $37,260, the Master of Science in Organizational Leadership degree is a smart investment. The knowledge and skills acquired in this program prepare you for career advancement opportunities and rewarding work within public, private and nonprofit sectors.

Tuition* includes all course fees but does not include books, comprehensive fees or other course materials. Once accepted to the program, you are required to submit a $500 non-refundable tuition deposit. Deposits are applied toward tuition and secure your place in the upcoming class.

*Tuition is subject to change at the discretion of the St. Edward’s University Board of Trustees.

Financial Aid

The St. Edward’s University Financial Aid Office provides information about financial aid opportunities available to graduate students. Please visit our Financial Aid page or call us at 512-387-3110 if you are interested in additional details.

To apply for the Master of Science in Organizational Leadership program, students are required to have a bachelor’s degree from an accredited university. Review application steps and requirements for the program as well as key dates: Application Deadlines and Checklist

Need more information? Please contact an Enrollment Counselor at 512-326-7501.

Tom Sechrest, PhD
Program Director, Master of Science in Organizational Leadership

Tom Sechrest has had a long career in leadership development as an entrepreneur, in the public sector, private sector, nonprofit sector and higher education. Sechrest started his career as an entrepreneur in educational and industrial television, creating training films, documentaries, commercials and music videos for Don Kirshner’s Rock Concerts. 

Sechrest went on to serve as a television producer for the U.S. Department of Labor and led a national leadership development project there. He worked in corporate leadership and succession planning for AMD, then served as faculty chair for Leadership Austin before joining the faculty at St. Edward’s. 

Sechrest brings a depth of experience, connections both locally and globally, and ties to many professional organizations, including the International Leadership Association, the Academy for Human Resource Development, the Association for Practical and Professional Ethics, and the Phi Kappa Phi Honor Society.

Leslie Loughmiller, EdD
Department Chair and Associate Professor of Education for the School of Behavioral and Social Sciences

Leslie Loughmiller holds a bachelor’s degree in special education from Texas Tech University, a master’s degree in Special Education Diagnostician from Texas State University, and a doctorate of Education in Higher Education Leadership from Nova Southeastern University of Florida.

Loughmiller has been an educator for over 25 years in the areas of special education, elementary education, early childhood, elementary curriculum development, higher education leadership and adult education. Her time and service in higher education has been spent teaching and mentoring pre-service teachers and graduate students as well as developing programs and courses for university programs.

In addition, Leslie provides service to her profession as one of the members of the editorial review board for a researched-based journal in special education, the Journal of the American Academy of Special Education Professionals, serves on Pre-K–12 education and educational leadership research dissertation committees and has served on the school board for many years for a private school for special needs adolescents in the Austin area.

Kris Sloan, EdD
Associate Professor of Education in the School of Human Development and Education

Kris Sloan is the director of the Master of Arts in Global Development Practice program. He teaches courses on culture, curriculum, pedagogy, leadership, ethics and educational policy at both the graduate and undergraduate levels. Sloan has published works on anti-oppressive pedagogy, educational policy, teacher education and assessment literacy. He has worked as a professional curriculum designer and has taught in the United States and abroad.

Shelbee Nguyen Voges, PhD
Associate Professor of Education

Shelbee Nguyen Voges is director of the Master of Arts in Educational Innovations program. Voges has more than 10 years of teaching experience in adult and higher education contexts. Her research explores the practice of adult learning theory targeting experiential learning, narrative, critical reflection and sociocultural influences on study abroad participation.

Thank you for your interest in the Master of Science in Business Analytics program at St. Edward’s University. A master’s degree in Business Analytics will prepare you for a rewarding career path as business analytics is one of today’s fastest-growing professions. Organizations, big and small, in virtually all segments of the economy, increasingly rely on data analysis to boost process efficiency, enhance customer (and employee) satisfaction, increase product/service innovation, mitigate risk and achieve all-around performance excellence.

The Business Analytics program is designed for individuals from a limitless range of educational and work backgrounds, but who have in common a strong interest in problem-solving, critical thinking, methodical analysis, intellectual curiosity and effective communication. It is not assumed that you enter the program with any particular computer programming skills or mathematical knowledge beyond basic algebra.

The four stages of business analytics in which you will be versed include: descriptive analytics –summarizing and characterizing past outcomes; diagnostic analytics – determining the factors and events that contributed to past outcomes; predictive analytics – forecasting likely outcomes with and without changes being made; and prescriptive analytics – solving for the changes that will maximize good outcomes and minimize bad ones.

Your instructors have considerable experience in both applying and teaching the concepts, methods and algorithms to which you will be exposed. With their patient guidance and determination, you will gain the skill set needed to successfully carry out, as well as oversee, business analytics projects. I wish you much success in your pursuit of the MSBA degree and a satisfying career in the discipline.

– Yongshin Park, PhD

   Director, MS in Business Analytics

Learning Goals:
Our Business Analytics program prepares students with knowledge and skills that are in high demand in the workplace. You’ll learn to analyze historical data for trends and patterns, diagnose problems, forecast and predict future outcomes, and help model scenarios to make data-driven decisions. When you graduate, you’ll have the ability to:

• Translate a problem or opportunity described by a layperson to a technical model formulation. 
• Identifying the appropriate analytical tool(s) for a particular objective.      
• Execute the most-used methods for descriptive, diagnostic, predictive and prescriptive business analysis.  
• Apply analytics to a variety of business functions at different levels for decision-making.
• Contribute to the decision-making process by producing clear courses of action for consideration by managers.
• Work fluently in Tableau, Python, R, Power BI, SQL and Arena software.

Outcomes:
An individual graduating from the program without relevant work experience is expected to immediately qualify for an entry-level position such as a junior business analyst. With prior or gained experience, an individual can assume a mid-level role of lead or senior business analyst overseeing teams and large-scale projects.

The breadth of functional business decisions covered in the Business Analytics program makes our graduates strong candidates for advancement to high-level administrative positions with titles such as business analytics director and even chief operations officer.

Offered with online or hybrid options, the MS in Business Analytics is a 30-credit hour program that can be completed in 12–18 months while working full-time. Courses are offered in a 7-week accelerated, online format with in-person options and are taken one at a time. The program culminates with a Capstone final project. 

Core Courses:

• Introduction to Business Analytics and R – BANA 6310
• Data Summarization and Visualization – BANA 6312
• Python for Business Analytics – BANA 6320
• Big Data and Database Management – BANA 6330
• Inferential Statistics – BANA 6332
• Predictive Analytics – BANA 6340
• Simulation Modeling – BANA 6350
• Artificial Intelligence and Machine Learning – BANA 6352
• Optimization Modeling – BANA 6360
• Business Analytics Practicum – BANA 6370

View and download the Graduate Bulletin PDF.

Detailed Course Descriptions:

Introduction to Business Analytics and R – BANA 6310

This course presents an introduction to the concepts of data analysis and the tools that are used to perform daily functions. It is broken into two major components. The first is to introduce the conceptual framework of business analytics, including the ethical issues and social impact of data analytics. The second is to build familiarity with the basic R toolkit for statistical analysis and graphics, such as data manipulation, exploratory data visualization and application of fundamental data mining techniques. 

Prerequisite: None

Data Summarization and Visualization – BANA 6312

This course introduces students to principles of data visualization and techniques for interactively depicting large datasets. Students learn storytelling and practice with advanced tools to communicate information and data insights clearly and effectively through dashboards. Students gain hands-on experience using interactive data visualization software to create the desired output. Topics include: time series, statistical data graphics, multivariate displays, geospatial displays, dashboards, and interactive and animated displays. 

Prerequisite: None

Python for Business Analytics – BANA 6320

Python is one of the highly demanded programming languages for business analysts due to its simplicity, versatility, efficiency and community support. This course is designed as an introduction to Python programming to analyze data. Students will explore fundamental programming with hands-on activities that help them build applications using Python. Topics covered in this course are data wrangling and management, summarizing the data, visualization, statistical analysis, and prediction using data analysis libraries such as Pandas, MatPlotLib, Numpy, Scipy, and more. 

Prerequisite: BANA 6332

Big Data and Database Management – BANA 6330

The primary goals of this course are to teach proven techniques for managing organizational data resources and dealing with the 3 V concepts (volume, velocity and variety) associated with big data. Students learn to design and implement a database using relational database management systems (RDBMS). Students gain step-by-step instruction and hands-on experience with MySQL. Topics include building, modeling, and administering a database, data warehousing, data integration and data security, and ethical and legal issues surrounding the use of data in our modern society. 

Prerequisite: None

Inferential Statistics – BANA 6332

This course focuses on the understanding and application of inferential statistics in the decision-making process. Students develop the statistical foundation that underpins business analysis and machine learning. Foundation concepts include probability distribution, interval estimation, hypothesis testing, Bayesian statistics, multivariate analysis (cluster analysis) and statistical control chart. The statistical approach to decision-making is based on cutting-edge computer programs and analysis of large-scale data. Hence, the emphasis of this course is placed on combining programming techniques and statistical concepts simultaneously through the analysis of real-life data sets taken from various sources.

Prerequisite: None

Predictive Analytics – BANA 6340

This course introduces students to predictive modeling methods and tools. The topics covered include logistic regression, classification and regression tree (CART), random forest, support vector machine, nonparametric kernel estimation, lasso, ARIMA, and text analytics. Students learn how to develop relevant analytic questions and learn multiple methods to evaluate the performance of predictive models to select the most appropriate one. Statistical software packages, such as R or Python, are used for statistical computing. This course helps students internalize a core set of practical and effective skills for projection analysis and apply them to solve real-world problems. 

Prerequisite: BANA 6310

Simulation Modeling – BANA 6350

In this course, students learn how to better understand the behavior of a real process that is subject to uncertainty using a model of the process. Simulation models are developed containing the mathematical expressions and logical relationships that are then used to compute the process output values for a given set of input values. Methodically changing process assumptions and operating policies in the simulation model and rerunning it can provide insight into how changes will affect the operation of the real process. Students gain experience in flowcharting a process, developing a computerized simulation model, deciding the experimental design of their analysis, interpreting the output of the computer model and making recommendations for decision makers. 

Prerequisite: None

Artificial Intelligence and Machine Learning – BANA 6352

This course introduces students to fundamental artificial intelligence (AI) and machine learning concepts and their business applications. The course covers terms, concepts and essential algorithms, including augmented intelligence, knowledge representation and reasoning, machine learning, deep learning, pattern recognition, neural networks, and natural language processing. Students get hands-on experiences with natural language processing technologies.

Prerequisite: None

Optimization Modeling – BANA 6360

In this course, students learn how to use prescriptive analytics methods classified as optimization approaches. The forms of mathematical programming methods covered include linear and nonlinear, integer and noninteger, deterministic and stochastic, as well as single- and multiple-objective. In applying prescriptive analytics methods to problems in a variety of business functions, students are exposed to all the steps of decision modeling, from problem formulation to the identification of alternative solutions and the sensitivity of the solutions to the assumptions made. 

Prerequisite: None

Business Analytics Practicum – BANA 6370

In this course, students apply the descriptive, predictive, and prescriptive analytical methods they have studied throughout the program to decision-making in different functional areas of an organization including finance, marketing, operations and human resources. Data relevant to a decision are identified, organized and summarized. Relationships between variables are recognized, and projection models are developed. Best courses of action are determined using tools such as optimization, simulation and artificial intelligence. Students gain practice at not only applying analytical tools but also communicating the output of the tools in a clear, concise manner. 

Prerequisites: Final term or w/Director’s approval

Technologies:

Students will gain experience with the following technologies:

• Python (general-purpose programming language)
• Pycharm (Python integrated development environment - IDE)
• R (statistical computing and graphics package)
• RStudio (R integrated development environment - IDE)
• Power BI (interactive data visualization package)
• SQL (Structured Query Language for databases)
• GAMS (General Algebraic Modeling System for optimization)
• Arena (discrete-event simulation package)
• Excel (spreadsheet package)
• Anaconda (open-source DS, AI, and ML software distributor)
• Jupyter (interactive computing platform)
• Kaggle (online community of data analysts)
• Github (Internet hosting service for software development)

Our faculty in the MS in Business Analytics program work to strike the ideal balance between theoretical and practical skills. They care about your success, and they do their best to equip you with the tools you need to navigate complex scenarios where data analysis can be utilized to the benefit of customers, employees and the enterprise. 

At $36,000, the online Master of Science in Business Analytics degree is a smart investment. The skills acquired in this program position you for a career in business analytics. Tuition* includes all course fees but does not include books, comprehensive fees or other course materials. Once accepted to the program, you are required to submit a $500 non-refundable tuition deposit. Deposits are applied toward tuition and secure your place in the upcoming class.

*Tuition is subject to change at the discretion of the St. Edward’s University Board of Trustees.

Financial Aid

The St. Edward’s University Financial Aid Office provides information about financial aid opportunities available to graduate students. Please visit our Financial Aid page or call us at (512) 387-3110 if you are interested in additional details.

To apply for the program, students are required to have a bachelor’s degree from an accredited university and complete the application process. For application dates and to submit an application, please go to the Graduate Application Page. 

Need more information? Please contact an Enrollment Counselor at (512) 326-7501.

Thank you for your interest in the Master of Science in Accounting and Analytics program. If you are looking to complete your 150 hours and/or accounting courses needed for the CPA certification, are seeking a career in accounting, or are a working professional who wants to advance your career, then this degree should be a perfect fit for you.

The Accounting and Analytics program is designed to prepare accounting and business professionals to sit for the Texas CPA exam, with an emphasis on the skills accounting employers are seeking. What sets St. Edward’s graduates apart is our Holy Cross mission of educating not only the mind but also the heart. 

St. Edward’s is a Holy Cross university with a dedicated staff supporting you in the program. Our small class size ensures your ability to get individual attention from our dedicated instructors. Through online activities and breakout rooms, you will have the opportunity to form a network with your classmates that will last a lifetime. 

Our courses are a mix of 7-week and 14-week classes. Our graduates have found positions at the Big Four accounting firms, small and mid-size accounting firms, as well as in industry. St. Edward’s is an AACSB-accredited business school and ranked a “best university” by U.S. News & World Report.

I encourage you to take a close look at our program. I believe you will find it to be an exciting opportunity that will further your career, preparing you to take the CPA exam. If you would like to discuss the program further, do not hesitate to contact me at kathl@stedwards.edu. 

Katherine Lopez, PhD
Director, MS in Accounting and Analytics

Check Out This Helpful Q&A 

Katherine Lopez, MS in Accounting and Analytics program director and long-time faculty member, explains how St. Edward’s gives graduates an edge in the evolving accounting and business market.

The MS in Accounting Analytics prepares you to take on virtual accounting environments and unstructured accounting big data, with the goal of solving business problems by constructing meaning out of vast amounts of data. You’ll learn to:

• Identify and evaluate issues that require the application of professional judgment by conducting professional research within the FASB Accounting Standards Codification.
• Evaluate financial data and apply relevant professional standards to resolve financial reporting issues of U.S. business entities.
• Apply knowledge of tax laws for planning and compliance purposes.
• Use accounting data to identify anomalies and trends to better understand a company, identify areas of potential risk and determine where further investigation may be needed.
• Evaluate an accounting ethical dilemma by correctly identifying the key stakeholders and appropriately applying an ethical framework to assist them in deciding what action should be taken

After graduation, our students are prepared for jobs with the Big Four, medium- and small-sized public accounting firms and internal accounting departments.

The MS in Accounting Analytics program requires 30 semester credit hours and is designed for students with an undergraduate degree in business*.

The 30-hour program can be completed in as little as 12 months for students with an accounting undergraduate degree and 17 months for students with a business undergraduate degree other than accounting. Courses are offered in a 7-week accelerated, online format with in-person options and are taken one at a time.

*This program is designed to meet the accounting requirements of the Texas CPA certificate. The Texas State Board of Public Accountancy also requires 24 hours of business courses other than in Accounting in order to sit for the CPA exam, including two hours of business communication (see their website for additional information).

Three Distinct Paths

1. A Bridge program for students with an undergraduate degree other than accounting who seek to complete their 150 hours and obtain the accounting requirements to sit for the CPA exam, and obtain a CPA license in Texas. 

If students need Intermediate Accounting I and II, the program must be started in the summer.

Sample Degree Plan

• Intermediate I (1st Summer, 1st 7 weeks)
• Intermediate II (1st Summer, 2nd 7 weeks)
• Accounting Theory and Research (Fall, 1st 7 weeks)
• Auditing (Fall, 2nd 7 weeks)
• Advanced Accounting Problems (Fall, 14 weeks)
• Fraud Examination and Forensic Accounting (Spring, 1st 7 weeks)
• Accounting Ethics (Spring, 2nd 7 weeks)
• Individual and Corporate Taxation (Spring, 14 weeks)
• Accounting Analytics (2nd Summer, 2nd 7 weeks)
• Audit Analytics and Technology (2nd Summer, 1st 7 weeks)

*Students who have taken the equivalent of Intermediate Accounting I, Intermediate Accounting II, Audit, Individual and/or Corporate Taxation may substitute these classes with Accounting Analytics, Business Analytics or MBA electives that meet the student's long-term professional goals. 

*Students who have already taken an ethics and/or research course that meets the requirements to obtain a Texas CPA license may replace Accounting Ethics and/or Accounting Theory and Research, respectively, with Accounting Analytics, Business Analytics or MBA electives that meet the student’s long-term professional goals.

2. A heavy analytics-based program for students with an undergraduate degree who seek to complete their 150 hours and obtain the accounting requirements to obtain a CPA license in Texas.

Sample Degree Plan

• Audit Analytics and Technology (1st Summer, 1st 7 weeks)
• Accounting Analytics (1st Summer, 2nd 7 weeks)
• Accounting Theory and Research (Fall, 1st 7 weeks)
• 3-Hour Elective from Accounting Analytics, Business Analytics or MBA Program (Fall, 2nd 7 weeks)
• Advanced Accounting Problems (Fall, 14-weeks)
• Fraud Examination and Forensic Accounting (Spring, 1st 7 weeks)
• Accounting Ethics (Spring, 2nd 7 weeks)
• Individual and Corporate Taxation (Spring, 14-weeks)
• 3-Hour Elective from Accounting Analytics, Business Analytics or MBA Program (2nd Summer, 1st 7 weeks)
• 3-Hour Elective from the Accounting Analytics, Business Analytics or MBA Program (2nd Summer, 2nd 7 weeks)

*Recommended Business Analytics elective courses for students seeking a stronger analytics background include: 

• Introduction to Business Analytics and R – BANA 6310
• Data Summarization and Visualization – BANA 6312
• Python for Business Analytics – BANA 6320
• Big Data and Database Management – BANA 6330
• Inferential Statistics – BANA 6332
• Predictive Analytics – BANA 6340
• Simulation Modeling – BANA 6350
• Artificial Intelligence – BANA 6352
• Optimization Modeling – BANA 6360

*To complete this degree in 12 months, the student has the option to take 4 courses in their summer session, 2 courses in their summer session and 4 courses in the fall and spring semesters; or 3 courses in their summer session and 4 courses in either the spring or fall semester. 

*Students who have taken the equivalent Individual and/or Corporate Taxation may substitute this course with an Accounting Analytics, Business Analytics or MBA elective that meets the student’s long-term professional goals. 

*Students who have already taken an ethics and/or research course that meets the requirements to obtain a Texas CPA license may replace Accounting Ethics and/or Accounting Theory and Research, respectively, with electives that meet the student's long-term professional goals.

3. For finance or other business majors who seek a master’s degree that will give them a stronger background in accounting and finance, but who are not seeking to meet the requirements to obtain a CPA in Texas.

Sample Degree Plan

• Intermediate I (1st Summer, 1st 7 weeks)
• Intermediate II (1st Summer, 2nd 7 weeks)
• 3-Hour Elective from the Accounting Analytics, Business Analytics or MBA Program (Fall, 1st 7 weeks)
• Auditing (Fall, 2nd 7 weeks)
• Advanced Accounting Problems (Fall, 14-weeks)
• Three-Hour Elective from the Accounting Analytics, Business Analytics or MBA Program (Spring, 1st 7 weeks)
• Three-Hour Elective from the Accounting Analytics, Business Analytics or MBA Program (Spring, 2nd 7 weeks)
• Individual and Corporate Taxation (Spring, 14-weeks)
• Audit Analytics and Technology (2nd Summer, 1st 7 weeks)
• Accounting Analytics (2nd Summer, 2nd 7 weeks)

*Recommended MBA elective courses for finance students in the Non-CPA-Seeking track include: ACCT/FINCE 6322 Corporate Governance, ACCT/FINC 6320 Valuation, and ACCT/FINC 6316 Financial Statement Analysis.

*Students who have taken the equivalent of Intermediate Accounting I, Intermediate Accounting II, Audit, Individual and/or Corporate Taxation may substitute these classes with Accounting Analytics, Business Analytics or MBA electives that meet the student's long-term professional goals.

Prerequisites for the program: Principles of Accounting I and II, or equivalent.

The Program is 30 hours and can be completed in as little as 12–17 months.

Course Descriptions

Intermediate Accounting I – ACCT 6331

This course covers recording business transactions in accordance with U.S. Generally Accepted Accounting Principles. Topics include: accounting for cash, receivables, inventories, investments, intangibles, current liabilities and contingencies, property, and equipment.

Prerequisites: ACCT 2301 and ACCT 2303 or equivalents.

Intermediate Accounting II – ACCT 6332

This course is a continuation of ACCT 6331, Intermediate Accounting I. It continues the coverage of recording business transactions in accordance with U.S. Generally Accepted Accounting Principles. The course also provides exposure to the use of the FASB’s Accounting Standards Codification website. Topics include: accounting for taxes, pensions, bonds, revenue recognition, and corporate capital.

Prerequisite: Intermediate Accounting I or equivalent.

Auditing – ACCT 6343

An introduction to the theory, concepts and principles of auditing, emphasizing audit evidence, audit risk, ethical conduct and legal restrictions, professional standards, audit planning, and audit reporting.

Prerequisite: Intermediate Accounting I or equivalent.

Individual and Corporate Taxation – ACCT 6340

Introduction to the broad structure of income tax law as it applies to individuals and corporate tax issues. Includes issues associated with the personal tax return, corporate tax returns, and tax planning.

Prerequisite: Intermediate Accounting I or equivalent.

Accounting Theory and Practice – ACCT 6309

Covers accounting theory and the conceptual framework for generally accepted accounting principles and procedures. Includes professional pronouncements and reporting regulations as well as issues involved in the preparation of financial statements. 

Prerequisites: Intermediate Accounting I and Intermediate Accounting II or equivalents.

Advanced Accounting Problems – ACCT 6310

The application of GAAP related to the proper accounting for consolidations, mergers and acquisitions, and the preparation of consolidated financial statements. Accounting for partnerships, reorganizations, estates, and foreign currency translations and transactions is covered. 

Prerequisites: Intermediate Accounting I and Intermediate Accounting II or equivalents.

Accounting Ethics – ACCT 6312

A study of ethical issues in the accounting profession, including analysis of core values and ethical reasoning applied to ethical dilemmas as well as the professional standards of integrity, objectivity and independence. Approved by the Texas State Board of Public Accountancy to qualify candidates to sit for the Certified Public Accountant exam in Texas. 

Prerequisite or concurrent registration: Audit or equivalent.

Fraud Examination and Forensic Accounting – ACCT 6318

A study of occupational fraud and abuse, as well as fraud prevention, detection, and forensic accounting techniques. Topics include: perpetrator behavior and demographics, asset misappropriation, fraudulent financial statements, corruption, fraud investigations and corporate governance policies.

Accounting Analytics – ACCT 6324

This course explores the impact of data analytics on financial accounting and auditing. As technology advances, traditional methods of financial accounting and auditing are also changing. The accounting profession today is faced with the challenge of embracing the power of data analysis in all aspects of accounting practice. Developing the skills necessary for an understanding of how data can be collected and analyzed in financial accounting and auditing settings is critical to the continued advancement and value of the accounting profession. Students will learn seven skills in this course:

1. Develop an analytics mindset
2. Understand the process of data scrubbing and preparation
3. Recognize data quality
4. Perform basic analysis in descriptive analytics
5. Analyze data through data manipulation
6. Solve problems through statistical data analysis
7. Report results through data visualization

Audit Analytics and Technology – ACCT 6326

This course explores appropriate analytics used in the audit profession, the theory behind advanced audit techniques, and hands-on learning of audit analytic tools and other technologies used in the audit field.

Prerequisite: Audit or equivalent.

Possible Electives

Financial Statement Analysis – ACCT/FINC 6316

Financial statements provide a basis for a wide range of business analyses. The primary goal of this course is for students to learn how to improve business decision-making by taking a set of financial statements and systematically analyzing the data. This course consists of three parts:

1. Accessing the historical performance of the firm using ratio analysis and cash flow analysis
2. Forecasting the firm’s future performance
3. Estimating the equity value of the firm 

This course is designed to help students develop the necessary analytical skills required for careers in corporate management, investment banking, credit analysis, security analysis, or consulting.

Prerequisites: ACCT 2301 and ACCT 2303 or equivalent for ACCT 6316; FINC 6317 or equivalent for FINC 6316.

Valuation – ACCT/FINC 6320

This course builds on the financial theories, intuitions, and tools developed in Financial Management courses. It introduces valuation concepts related to the valuation of projects and business enterprises and to the claims on the cash flows that they generate. Topics covered include forecasting cash flows, discount rate estimation, the interaction between capital structure and value, as well as cost, market, income, and option‐based valuation methods. Students are introduced to the relevant theories and tools and are taught how to apply these theories and tools in realistic settings. 

Prerequisite: FINC 6301 Financial Management or FINC 6317 Finance for Managers.

Corporate Governance – ACCT/FINC 6322

This course is designed to increase individual skills and knowledge of good governance practices such that graduates would be seriously considered for appointment to the board of directors of a small not-for-profit organization. The course aims to increase understanding of the legal, economic, managerial and psychological issues directors confront as well as provide a better appreciation for their normal duties. Using this knowledge, students will be asked also to consider how directors should deal with a range of complex crises: the gradual decline of a company, hostile takeovers, proxy battles, changes in corporate strategy, or the faltering performance of a CEO. While many issues in corporate governance remain controversial, a critical aspect of this course is to acquaint participants with the broad range of governance options, their implementation, best practices, and their consequences. 

Prerequisite: ACCT 2301 and ACCT 2303 or equivalent for ACCT 6322. FINC 6301 Financial Management or FINC 6317 Finance for Managers for FINC 6322.

For more information, view the Graduate Bulletin.

Faculty within The Bill Munday School of Business deliver an impactful education that connects students with the marketplace and prepares them for today’s dynamic business environment. The business school’s curriculum and programs reflect five pillars of the Austin business scene: entrepreneurial thinking, social enterprise, innovation management, global collaboration and business analytics.  

All full-time faculty members in the Accounting Analytics program are CPAs with professional experience working in accounting, and all adjunct professors are currently employed in the field.

View a list of our faculty members and their contact information on the Department of Accounting, Economics and Finance webpage.

At $37,260, the online Master of Science in Accounting Analytics degree is a smart investment. The skills acquired in this program prepare business and accounting professionals to sit for the CPA exam and move into executive-level roles in accounting and finance. Tuition* includes all course fees but does not include books, comprehensive fees or other course materials. Once accepted to the program, you are required to submit a $500 non-refundable tuition deposit. Deposits are applied toward tuition and secure your place in the upcoming class.

*Tuition is subject to change at the discretion of the St. Edward’s University Board of Trustees.

Financial Aid

The St. Edward’s University Financial Aid Office provides information about financial aid opportunities available to graduate students. Please visit our Financial Aid page or call us at 512-387-3110 if you are interested in additional details.

To apply for the program, students are required to have a bachelor’s degree from an accredited university and complete the application process. Review application dates and submit an application. 

Need more information? Please contact an Enrollment Counselor at 512-326-7501.

Thank you for your interest in the Master of Digital Marketing and Analytics program. If you are looking for a career in digital marketing or are a working professional who wants to advance your career, then this degree will be a good fit for you. 

What sets St. Edward’s graduates apart is our Holy Cross mission of educating not only the mind but also the heart. Graduates from our program are prepared to make a difference and take on their world. Plus, you would be earning a degree from an AACSB-accredited business school and a university consistently recognized by US News & World Report as a top-10 university in the West.

Unique to our program, not only will you learn the techniques of digital marketing, but you will also develop the skills to incorporate data analysis into managerial decision-making. The program is designed to meet your needs by having 7-week classes that allow you to earn your degree in 16 months. With small class sizes, you get individual attention from our highly skilled instructors.

St. Edward’s University is a Holy Cross university with a dedicated staff supporting you in the program. In addition, you will form a network with your classmates that will last a lifetime. Being located in Austin, an entrepreneurial and technology hotbed, our degree is in demand by companies in Austin and nationally. Our graduates have found positions at companies such as Dell and Nike.

I encourage you to take a close look at our program. I believe you will find it to be an exciting opportunity that will further your career, preparing you to be a changemaker. If you would like to discuss the program further, do not hesitate to contact me at wpollitt@stedwards.edu.  

– Wesley Pollitte, PhD

   Director, MS in Digital Marketing and Analytics

Through our MS in Digital Marketing and Analytics program, you’ll gain the knowledge needed for business intelligence and analytics, digital and social media analytics, statistical analysis, user interface design and digital innovations. 

Experiential education is an integral part of the program. Students run multiple real-life simulations and create and develop multiple marketing plans and strategies based on real companies. When you graduate, you’ll be prepared to: 

• Demonstrate competency in the major areas of digital marketing — search, social, email and mobile marketing — and plan, implement and measure the results of a digital marketing campaign.
• Utilize descriptive and predictive statistics to solve marketing problems and achieve strategic marketing and organizational goals.
• Select, interpret and analyze marketing data and key marketing metrics to improve the marketing process.
• Communicate effectively in both written and oral fashion to obtain support for plans and programs, and then implement marketing campaigns and programs.
• Create and manage, utilizing quality control processes and feedback, an effective digital marketing organization.

Career paths for graduates are varied and may include:

• Digital Marketing Analyst
• Digital Marketing and Analytics Manager
• Director of Digital Marketing and Analytics
• Metrics Analyst, Digital Marketing
• Web Analytics/Conversion Specialist
• Marketing Researcher
• UX Specialist
• SEO and PPC Specialists 

What our graduates say about the program:

Mary Anne Thornton, MSDMA ’22

“My experience with the Digital Marketing and Data Analytics program at St. Edward’s University was outstanding. I gained new skills, built up confidence in established talents, and was stretched and pushed further than I thought I could go by professors and my fellow cohorts. What drew me to St. Ed’s was the faculty’s reputation and the industry certifications as part of the curriculum. I'm glad that I chose St. Edward’s to further my career. I have made lifelong connections that I will treasure greatly.”

Zahra Stavis, MSDMA ’23

“I searched for years for the right graduate program, and this one hit every single note. It was the only program I found that met my full criteria. The coursework included simulations, certifications, statistics, operations, strategy, blogging, and even data mining — the depth of topics covered and the hands-on learning blew my mind.”

Cristina Ramos ’17, MSDMA ’23

After completing my bachelor’s degree at St. Edward’s University, I returned to the hilltop to earn a master’s degree in Digital Marketing and Analytics. This 16-month journey for my master’s was not easy as it was all online and I was also working a full-time job. However, I was able to persevere with the help of my family, friends, professors and especially my classmates. Through this program, I was able to obtain 17 digital marketing certificates, run multiple real-life simulations, and create and develop multiple marketing plans and strategies based on real companies.

Delivered 100% online with a flexible 7-week class schedule, this 30-credit hour program can be completed in as little as 16 months.

Core Courses:

First Semester:

• Digital Marketing Fundamentals – MKTG 6320
• Marketing Data Analytics – MKTG 6322

Second Semester:

• Social Media Marketing – MKTG 6330
• Customer Experience Marketing – MKTG 6338
• Marketing Tools and Technologies – MKTG 6334
• Buyer Behavior Analysis – MKTG 6332

Third Semester:

• Marketing Metrics and Analytics – MKTG 6336
• Model Building and Analysis – MKTG 6344

Fourth Semester:

• Social Media Analytics – MKTG 6342
• Managing the Digital Marketing Organization – MKTG 6350

View and download the Graduate Bulletin PDF.

Detailed Core Course Descriptions:

Digital Marketing Fundamentals – MKTG 6320

The course provides a strategic marketing foundation for understanding the principles of digital marketing and analytics, including the process of aligning digital marketing techniques to marketing strategy and overall organizational strategy, and assessing the ROI of marketing initiatives on the overall strategy and financial outlook of an organization. The course includes managing the processes for search, social media, email and content marketing. Throughout, metrics and analytics for driving marketing success will be emphasized. Students will practice digital marketing skills through assignments such as a simulation and a class project. 

Marketing Data Analytics – MKTG 6322

Students will learn the principles of managing a marketing database and the benefits of “big data” versus “small data” or “broad data.” Using case studies and materials from pioneers in the field of data analytics, students will learn how to evaluate, distill, manage, and present information from customer data sets from the perspective of corporate management and strategic decision-making focusing on descriptive statistics and linear regression. 

Prerequisite: MKTG 6320 

Social Media Marketing – MKTG 6330

This course focuses on brand management with social media. In this course, students will learn how to manage a brand on social media and how to create a social media strategy and campaign with a focus on analytics. The theoretical framework proposed for social media will guide students through tactical implications. Students will learn to utilize social media frameworks to leverage tactics and content for social media marketing in a specific industry. Topics discussed include: the importance of influencers, the benefits of listening, customer personas, privacy, determining which analytics are important, how to track them, and defining and measuring success. 

Prerequisite: MKTG 6320 

Buyer Behavior Analysis – MKTG 6332

This course is designed to develop the student’s knowledge and understanding of buyer behavior in consumer and business markets. Course material will focus on the current application of buyer behavior and marketing strategy within the marketing discipline. Students will be expected to completely understand how to use current digital marketing analysis tools to develop insights into consumer behavior. 

Prerequisite: MKTG 6320, MKTG 6322 

Marketing Tools and Technologies – MKTG 6334

The course is an introduction to business functions using digital marketing technology such as Tableau and HTML and information systems such as CRM and Demand Generation Systems. Topics include the different functions and applications of digital technologies and how these technologies have changed business and consumer practice and impacted the process of business management. Emphasis is on the use of digital technology, the impact of artificial intelligence in a company’s existing market mix, and current and potential uses of these technologies for marketing tactics and strategies. 

Prerequisite: MKTG 6320 

Marketing Metrics and Analytics – MKTG 6336

Marketing analytics is a broad and multidimensional field that employs many techniques to find meaningful patterns within data and facilitate its transformation into actionable information. This course will explore the concepts and tools to manage and utilize a market information system in the context of the online analysis of the information available from various digital marketing analysis tools. Certification in web analytics tools will be covered as applicable. 

Prerequisite: MKTG 6320 

Customer Experience Marketing – MKTG 6338

This course focuses on managing all aspects of the customer experience in both the consumer and business marketing contexts using portfolio and life cycle analysis as its organizing frameworks. Topics covered include: B2B demand generation, content marketing, CRM, and multi-channel marketing. Software related to the management of the customer life cycle will be utilized. Appropriate tools will be integrated into the course material. 

Prerequisite: MKTG 6320

Social Media Analytics – MKTG 6342

Social media analytics focuses on the application of social networking tools and methods in the marketing of digital media enterprises and the related analytical tools available to measure the efficacy and cost-effectiveness of web-based programs. The main emphasis will be on the use of social networks and the use of web analytics tools. The goal of this course is to provide the student with an in-depth understanding of the application of social networks and web-based analytics as business tools for the digital enterprise. 

Prerequisites: MKTG 6320, MKTG 6330 

Model Building and Analysis – MKTG 6344

Advanced model building covering such topics as segmentation and clustering, social sentiment analysis and logistic regression for response modeling. The focus will be on using current technology to build and compare models. Topics such as lifts, gains and other marketing outcomes will be emphasized. The impact of artificial intelligence and other relevant technologies on model development will be explored. Prerequisite: MKTG 6320, MKTG 6322 

Managing the Digital Marketing Organization – MKTG 6350

The course is a culminating experience that focuses on the organizational and managerial challenges in implementing an analytics-based organization. Emphasis is on how to organize for big data and data analysis, and how to use customer lifecycle analysis for resource allocation and KPI analysis in the marketing context. As a test case, students will learn how to plan, implement and measure the results of an integrated digital marketing campaign using commercially available software. 

Prerequisites: MKTG 6330, MKTG 6320

Throughout the Digital Marketing and Analytics program, you’ll have the option to expand your knowledge, skills and credentials by pursuing certificates and mastering technologies that make you stand out in the marketplace.

Certifications:

• Hootsuite: Social Media
• Hootsuite: Platform
• Google: Search Ads
• Google: Analytics
• HubSpot: Inbound Marketing
• HubSpot: Content Marketing
• IBM Big Data Badge
• SEMRUSH: SEO Fundamentals
• SEMRUSH: Keyword Research
• Stukent: Certified Digital Marketer

Technologies:

• SPSS 
• WordPress
• Excel
• Tableau
• Node XL
• Mail Chimp/HubSpot CEM

In the MS in Digital Marketing and Analytics program, you’ll be taught by our award-winning faculty who take pride in getting to know you, helping you achieve your goals and championing your success. These outstanding scholars, thought leaders, practitioners and mentors bring energy and enthusiasm to our vibrant learning community. They deliver an impactful education that connects you with the marketplace and prepares you for today’s dynamic business environment. 

View a list of our faculty members and their contact information on the Department of Marketing, Operations and Analytics webpage.

At $36,000, a Master of Science in Digital Marketing and Analytics degree is a smart investment. The skills acquired in this program will position you for a career in digital marketing. Tuition* includes all course fees but does not include books, comprehensive fees or other course materials. Once accepted to the program, you are required to submit a $500 non-refundable tuition deposit. Deposits are applied toward tuition and secure your place in the upcoming class.

*Tuition is subject to change at the discretion of the St. Edward’s University Board of Trustees.

Financial Aid

The St. Edward’s University Financial Aid Office provides information about financial aid opportunities available to graduate students. Please visit our Financial Aid page or call us at (512) 387-3110 if you are interested in additional details.

To apply for the program, students are required to have a bachelor’s degree from an accredited university and complete the application process. For application dates and to submit an application, please go to the Graduate Application Page. 

Need more information? Please contact an Enrollment Counselor at (512) 326-7501.