Learn how to make data-driven business decisions

You will gain in-depth knowledge of information systems, as well as modern analytical skills, while fulfilling the 30-credit course requirement for the Analytics and Systems (M.S.) degree program.

Rigorous classroom instruction and required projects are structured to prepare you for the unique demands of this fast-paced sector. Courses are specifically broken out into the following segments, allowing you to build a foundation of knowledge as you go: Program Core, Analytics Intelligence, and Analytics Applications.

You will conclude the program with a required thesis or internship to demonstrate competency in research, analysis, and project work. You may elect to include research, project work, or both. An effective thesis will help you solidify your grasp of the program content and serve as an impressive addition to your career portfolio.

How does the curriculum differ from the MBA with a concentration in Analytics Intelligence?
The Analytics and Systems (M.S.) degree program focuses specifically analytics and systems, rather than business management. You may learn more about the MBA program here.

“I’m often asked what sets the Ernest C. Trefz School of Business apart. The difference is in our faculty. They have years of experience delivering game changing enterprise intelligence and analytics solutions and they love bringing their experience to bear to propel students forward.”

Lloyd Gibson, D.Sc., MBA, BS/MA
Dean, Ernest C. Trefz School of Business

Course Descriptions

Preparatory Courses: Acquiring the Foundation for Success (up to 12 Credits)

If you are a student with undergraduate preparation in a non-business field, you may be required to complete up to 12 credits of preparatory coursework. If you are a student with a strong academic record (“B” or better in each case) from an accredited university, you may be able to waive preparatory foundation courses. Accounting & Business Law (ACCT 500) requires financial accounting, as well as any course labelled business law that included contracts and tort law. Economics & Finance (ECON 500) requires both micro- and macro- economics, as well as finance that included time value of money.  Information Systems & Quantitative Methods (ITKM 500) requires information systems, intermediate Excel, and either MS Excel- or SAS-based statistics or research methods. Management & Marketing (MGMT 500) requires organizational behavior, operations management, and marketing or any similarly named course that includes consumer behavior.

Program Core Courses (with concentrations)

This course will explore various issues of creating, storing, sharing and applying knowledge in organizational environment. The course introduces guiding theories and concepts of knowledge management and examines various tools used in the processes. Then the course also explores business and management topics in knowledge management, including general issues in evaluating informal systems like knowledge management systems and the relationship of knowledge management to the work, etc.
Credits: 3

This course focuses on the managerial aspects of how to more effectively manage, plan and execute programs/projects with a focus on high quality deliverables arriving on time, within budget, within scope and to the customer’s satisfaction. Areas covered will include program and project management life cycle phases, executive sponsorship, portfolio investment management selection and prioritization, requirements, scope and project charters, planning, development, estimating, staffing, leadership, scheduling, risk management, change management, project metrics, vendor integration and management and other related topics. This course is based on current and emerging best practices and principles. It will also discuss PM certification requirements and provide real world case studies.
Credits: 3

Analytics Intelligence Courses

This course is intended to provide an integrative foundation in the field of business intelligence at the operational, tactical, and strategic levels. Topics such as value chain, customer service management, business process analysis and design, transaction processing systems, management information systems, and executive information systems will be covered, along with other topics relevant to the field of business intelligence.   ”
Credits: 3

The aim of this course is to provide the student with an understanding of several management science techniques and to provide some insight into how these tools may be used to analyze complex business problems and arrive at a rational solution. The techniques to be studied are forecasting, linear planning, simulation, and modeling. Cases of increasing complexity will be used to emphasize problem description, definition, and formulation. The computer will be used extensively throughout the course, primarily by using available programs to perform the calculations after the problem has been correctly formulated. Emphasis will be placed on the interpretation and implementation of results. In addition, we will examine the future of analytics.
Credits: 3

This course will provide an in depth understanding of sophisticated business analytics methods and their application in varied business contexts.
Credits: 3

Analytics Applications Courses

This course enables the student to use data to make marketing management decisions. The student will learn to use statistical tools and analytical techniques to transform data into useful information that will result in the development of segmentation, targeting and positioning of marketing mixes that create additional customer value and enhance organization competitiveness. Hands-on experience with the tools and techniques will be valuable to students as they pursue a marketing career.
Credits: 3

Traditional financial and economic theory assumes investors exhibit a nearly perfect level of rationality. This course explores the truth of this assumption in various contexts, as well as the implications for businesses, organizations, governments, and markets. The course fosters a skeptical approach to both traditional and behavioral results and an independent approach to thinking so that the students are able to enhance not only their appreciation of behavioralism in others but also in their own individual decision making. The essence of the course explores what opportunities are created by systematic deviations from rationality, and questions how they can be either exploited or mitigated.
Credits: 3

This course examines the somewhat recent economic evolution from a primarily manufacturing model to a more information driven economy with an emphasis on the impact of these changes on professional careers. Students will review and assess the primary attributes of IT, such as data management and software as a way to evaluate the potential role of technology in administering professional activities. In the final module, students will develop a personal strategy by reflecting on their individual attributes as a way to further develop their unique talents in the workplace.
Credits: 3


This is an introductory course in qualitative and quantitative research methods. It is designed to introduce you to basic concepts and issues (statistical, analytical, and ethical) encountered in research investigation. We will discuss what research is, the tools of research, research design, and writing the research report. Included will be an introduction to a diversity of research methods, including survey, historical research, experimental methods, content analysis, and so forth. An overview of statistical means of data interpretation also will be presented, including correlation, ttests, ANOVA, ChiSquare Test, Sign Test, regression analysis, and so forth.
Credits: 3

The capstone experience provides the final integration of student learning across the disciplines and the application of concepts learned to practical and competitive situations.
Credits: 3