Data driven. Leadership focused.

Transforming Information Into Action—Start in Spring or Fall

At the University of Denver’s Daniels College of Business we are one of the only programs that balances the three pillars of business intelligence: data management, analytics and business decisions. Be prepared to inform your company through evidence-driven decision making. We will challenge you to make sure you are asking the right questions. During the program, you’ll work with companies on actual problems by leveraging data to produce real outcomes for real implementation. Through our partnerships with IBM/SPSS, Tableau, Microsoft and other leading technology vendors, Daniels is able to provide the most relevant tools in analytics in our classrooms. This gives our students the edge in solving complex, statistical problems and staying ahead of the curve. This is a STEM designated degree.

Dr. Andrew Urbaczewski, Chair

We are proud to be among the country’s first graduate schools to offer a program for this high in-demand area of study. We even wrote the book on business analytics. The best-selling introductory textbook on management information systems—Business Driven Technology—was written by two Daniels faculty members.

Program At A Glance

Program CurriculumA 11–36-month, full or part-time, 58-credit program with two components: Business Analytics Core (50 credits) and Electives (8 credits). Ethics and values-based leadership are integrated throughout the curriculum.
Program Start DatesSeptember and March.
Tuition$1,258 per credit hour plus program fees. Tuition Calculator»
Financial AidGovernment student loans, private loans and GI benefits available. Some merit- and need-based scholarships awarded by Daniels College of Business.
Application DeadlinesFour rounds of admission deadlines for fall entry and three rounds for spring entry.
Recommended Work ExperienceVaries.


The Daniels program provides real-world experiential learning in the latest tools and techniques of business analytics that helped me hit the ground running at my company. Students are immersed in real-world problems where the answers are not always immediate and clear, just like the business world.- Joel Onditi, Master of Science in Business Analytics, 2010 | SR. BI/DW Consultant, Perficient

Points of Pride for the Department of Business Information and Analytics at Daniels

  • State-of-the-art technology: Our students get hands-on practice using the latest computer technology to solve complex statistical problems.
  • Access to industry gurus: From helping found the Colorado Technology Association to spearheading the Global Text Project, our faculty boasts strong industry ties and significant real-world experience. They bring theories to life and expose students to exceptional opportunities.
  • Experts in the classroom: Our faculty members are both dedicated teachers and widely published researchers. They are experts in bridging information systems and statistical principles and theories to practical applications. With our small class sizes, teachers often become mentors advising you on classes, internships and career direction.
  • Cross-functional curriculum: Since information and analytics applies to all business functions—finance, accounting, marketing and management—our classes expose students to the full spectrum of business information and analytics, and the wide variety of career paths available to them.
  • First-of-its-kind degree: Working with the departments of marketing, information technology and statistics, we helped develop the first interdisciplinary master’s degree in business analytics in the U.S.
  • STEM degree: Our MSBA degree is currently a STEM degree. The Department of Homeland Security (DHS) has expanded the list of STEM (science, technology, engineering, and math) designated degrees that qualify for 17 month Optional Practical Training (OPT) Extension for F-1 Nonimmigrant Students. For more information please visit the International Student and Scholar Services’ STEM and OPT webpages.
  • Top MIS textbook: The best-selling, introductory textbook on management information systems (MIS), Business Driven Technology, was written by two of our faculty members, Amy Phillips and Paige Baltzan.
  • An ethical framework: We emphasize the responsibility information professionals have to speak of on business issues that affect society at large. From privacy and security issues to business analytics and information access, ethical decision-making skills are critical in a fast-paced global environment.

Courses & Electives

The MSBA is a 58-credit program that can be completed in as little as 12 months, or you can earn your degree part time with a more flexible schedule.

The program consists of core business analytics courses, business ethics and courses from each of the primary disciplines of statistics, marketing and information technology, plus an elective from one of these disciplines. The final is a practicum related to any one or a combination of the business intelligence disciplines.

View the MSBA Degree Plan»

Course Sequence

Full-time, Fall Start

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Part-time, Fall Start

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Full-time, Spring Start

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Part-time, Spring Start

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Course Descriptions

MS Business Analytics Courses

INFO 4100 Survey of Business Analytics | 4 Credit Hours

This course provides an overview of business analytics: how business data is collected, processed, and analyzed to support decision making. It will address both how to assess and use data that is readily available as well as how to start with corporate strategy and determine what data is needed, how to generate and process it. The course will also explore how corporate culture, ethics, and globalization can affect data management and analytic decision-making.

Learning Outcomes: 

  1. Describe the core elements of the corporate decision-making process.
  2. Learn the principles and application of data modeling in a business setting.
  3. Construct and evaluate data models for a data warehouse with data marts.
  4. Summarize the tools and approaches used in business analytics to support decision-making.
  5. Understand how ethics, privacy, security, and international and cultural differences affect the data and analytic environment.

INFO 4100 Business Intelligence | 4 Credit Hours»

INFO 4140 Business Databases | 4 Credit Hours

This is an introductory database course which will cover enterprise database design, modeling and implementation. Students with existing proficiency in databases can substitute another BIA graduate course.

Learning Outcomes:

  1. Understand, create, normalize, and use relational database models.
  2. Use SQL to define, load, query, and modify databases.
  3. Use SQL Server 2012 to create SQL code to build, populate and query databases.

INFO 4140 Business Databases | 4 Credit Hours»

INFO 4120 Python for Business Analytics

Python is a popular general purpose programming language which is well suited to a wide range of problems. With the right set of add-ons, it is comparable to domain-specific languages such as R and MATLAB. Python is a scripting language. The following topics will be covered: Importing data, Reading and writing files, Cleaning and Managing Data, Merging and joining DataFrame objects, Plotting and Visualization, Statistical Analysis, Fitting data to probability distributions and Linear models. Packages: Pandas, NumPy, matplotlib, statsmodels, Scikit-learn, and IPython. Principal Content Elements: 1. Introduction to Programming Logic and Design Using Python 2. Data Management 3. Statistical Analysis 4. Advanced Data Management and Statistical Analysis Prerequisite/Corequisite: STAT 4610.

INFO 4120 Python for Business Analytics»

STAT 4610 Business Statistics | 4 Credit Hours

This course introduces students to the basic analytical tools in statistics and business analytics, and provides the theoretical concepts and skills that are building blocks for future courses. The approach is to present students with a “corporate” view of how statistical tools are used to analyze data and facilitate business decision-making. Students will familiarize themselves with all of the statistical techniques and models presented in the course and will demonstrate knowledge in applying the appropriate techniques and models to various data sets and interpreting the results of the analysis. The Microsoft Excel Data Analysis and Solver Toolkits will be used to conduct statistical analyses, allowing students to become more proficient overall in using Microsoft Excel and to place their emphasis on applications to core business disciplines, statistical reasoning, and proper interpretation of results.

Learning Outcomes:

  1. Learn and understand the basic tenets of probability distributions, and be familiar with the distributions most often used in business modeling.
  2. Conduct and interpret various statistical hypothesis testing techniques on single and multiple populations.
  3. Conduct and interpret various regression analyses on single and multiple independent variables.
  4. Conduct and interpret optimization modeling in a variety of business scenarios.
  5. Use the results of statistical analysis to support business decisions.
  6. Construct analytic models, to include multiple regression and simulation models, and apply them in the functional areas of business such as finance, accounting, marketing, and operations.
  7. Demonstrate proficiency in performing data management, statistical analysis, and analytic modeling in a spreadsheet environment.

STAT 4610 Business Statistics | 4 Credit Hours»

INFO 4590 Optimization | 4 Credit Hours

This course introduces students to the basic optimization modeling techniques and tools as practiced by business analysts, operations research analysts, data analysts, data scientists, decision scientists, decision support scientists, business intelligence analysts, quants, actuaries, financial analysts, marketing analysts, and anyone else interested in using analytics to improve the bottom line. The course will focus on problem definitions, problem configuration, spreadsheet solution, LP Software (LINGO) solutions, and interpreting and implementing results.

Learning Outcomes:

  1. Understand the role that optimization plays in business analytics.
  2. Model optimization problems that involve linear programming, integer programming, binary integer programming, mixed-integer programming, and nonlinear programming.
  3. Use spreadsheet modeling to configure and solve optimization problems.
  4. Configure optimization problems for implementation in a commercial solver package.
  5. Use a commercial solver (LINGO, GAMS, CPLEX, R) to solve optimization problems.

INFO 4590 Optimization | 4 Credit Hours»

INFO 4200 Capstone Planning | 2 Credit Hours

This course is intended to help the student line up an instructor, company, and a business issue to be addressed in his/her capstone course in the final quarter. (Must be taken two quarters prior to INFO4400, with the exception of 4+1 students, who will take it the quarter prior to INFO4400.)

Learning Outcomes:

  1. Students who complete this course will have a preliminary plan which identifies a company and a business issue to be addressed in his/her capstone course in the final quarter.
  2. Students will understand the role of an analytic business consultant and the business decision-making process.
  3. Students will apply ethical analysis of business analytic scenarios to real-world analytic problems.

INFO 4200 Capstone Planning | 2 Credit Hours

INFO 4240 Data Warehousing | 4 Credit Hours

This course introduces students to the main components of a data warehouse for business intelligence applications. Students will learn how a data warehouse fits into the overall strategy of a complex enterprise, how to develop data models useful for business intelligence, and how to combine data from disparate sources into a single database that comprises the core of a data warehouse. Students will also explore how to define and specify useful management reports from warehouse data. Prerequisites: INFO 4100, INFO 4140.

Learning Outcomes:

  1. Gather requirements and model a data warehouse with data marts to meet the requirements.
  2. Design a data warehouse and data marts given a model.
  3. Describe several current data architectures, the strengths and weaknesses of each.
  4. Create a strategy to extract, transform (cleanse, integrate, and qualify) and load data from operational databases into the data warehouse.
  5. List the tradeoffs a business must consider in selecting the target level of data quality, completeness and integration.
  6. Utilize common tools which support the components of the data warehouse.

INFO 4240 Data Warehousing | 4 Credit Hours»

INFO 4280 Project Management | 4 Credit Hours

In this course students examine the science, practice the art, and discuss the folklore of project management to enable them to contribute to and manage projects as well as to judge when to apply this discipline. The course also covers the use of MS Project Professional as a management tool and Crystal Ball as a Monte Carlo simulator for project exercises.

Prerequisite: INFO 4100

Learning Outcomes:

  1. Apply project management—consistently making the tradeoffs required to derive optimal outcomes based on copious hands-on experience.
  2. Justify flexibility in at least one of the three project constraints: scope, timeframe and resources, in order to deliver worthwhile results.
  3. Plan projects to optimize project results while taking into account the fact that projects seldom are executed according to plan.
  4. Find creative ways to bring projects back on schedule, explaining why simply throwing more resources at the problem tends to push the project further behind schedule.
  5. Demonstrate the advantages of the critical chain approach to managing projects while addressing its biggest challenge of getting stakeholder buy-in.
  6. Assess the value of formally executing the close step of any project in capturing information valuable for future projects.
  7. Compare and contrast the use of probability distributions versus point estimates for all critical project variables.
  8. Delineate the costs and benefits of using formal project management software tools such as Microsoft Project Professional.

INFO 4280 Project Management | 4 Credit Hours»

INFO 4300 Predictive Analytics | 4 Credit Hours | Fall and Spring Quarter

This course is designed to prepare students for managerial data analysis and data mining, predictive modeling, model assessment and implementation using large data sets. The course addresses the how, when, why, and where of data mining. The emphasis is on understanding the application of a wide range of modern techniques to specific decision-making situations, rather than on mastering the theoretical underpinnings of the techniques. The course covers methods that are aimed at prediction, forecasting, classification, clustering, and association. Students will gain hands-on experience in using computer software to mine business data sets. Prerequisite: STAT 4610.

Learning Outcomes:

  1. Identify and perform the steps in the data mining process.
  2. Explain, apply and interpret forecasting models, component analysis, and classification methods.
  3. Explain, apply, and interpret regression models, generalized linear models, logistic regression models, and hierarchical linear models.
  4. Understand the various time series analysis techniques available to the business modeler, and conduct time series analysis to improve business decision-making.

INFO 4300 Predictive Analytics | 4 Credit Hours»

INFO 4340 Data Mining & Visualization | 4 Credit Hours

In this course, students create business intelligence tools such as balanced scorecards, data visualization and dashboards to inform business decisions. The course will focus on the identification of metrics, measures, indicators and key performance indicators for a variety of business operations. The focus will be on the advantages and disadvantages of various modeling methodologies and implementations moving towards performance improvement. Prerequisite: STAT 4610.

Learning Outcomes:

  1. List the components of a balanced scorecard and their relationship to each other.
  2. Compare and contrast various ways to display and interpret voluminous amounts of business intelligence data.
  3. Assess the potential of key performance indicators for different types of enterprises.
  4. Articulate the value of key business metrics for the success of an enterprise.
  5. Use VBA to construct interactive scorecards, dashboards, and data visualization.
  6. Explain, apply and interpret discriminant analysis, cluster analysis, principal component analysis, and neural network models.

INFO 4340 Data Mining & Visualization | 4 Credit Hours»

INFO 4360 Complex Data Analytics | 4 Credit Hours

This course addresses the rapidly-growing demands on businesses created by the prevalence of big and unstructured data. These include management of big data, big-data analytics, analysis of unstructured data (to include text mining), and management and analysis of real-time (streaming) data. The focus will be on enhancing business decision-making in the presence of big data, and on how to create the greatest ROI with large data sets.

Learning Outcomes

  1. Understand and implement analysis of unstructured data and text data in order to draw analytic conclusions from these data sets.
  2. Perform analytics on very large data sets to enhance an organizations’ decision-making process, to include statistical inference, analytic modeling, and direct-solution techniques.
  3. Use a big-data management tool, such as Hadoop, Splunk, or Alteryx to organize and manage a large data set.
  4. Perform analysis of streaming data in real time to enhance the decision-making process.

INFO 4360 Complex Data Analytics | 4 Credit Hours»

INFO 4380 Decision Processes | 4 Credit Hours

This course addresses the process of decision making in the enterprise: who makes what decisions based on what information and for what purpose. Business Intelligence is premised on the HP motto: “In God we trust. All others bring data.” But what is the cost of collecting and analyzing the data and presenting the results, and what decisions justify that cost? Is the transformation from data to decision always rational, and what are the common pitfalls for human decision makers? We examine the results of recent experiments from behavior economics and their relevance to making business decisions. Prerequisite: INFO 4100.

Learning Outcomes:

  1. Analyze enterprise decision processes, identify key participants and assess their relationships to effective execution.
  2. Evaluate the tradeoffs between the costs and benefits of data driven decisions and contrast these with direct experimentation.
  3. List and describe hidden traps in rational decision making such as anchoring, confirmation bias, etc.
  4. Explain the paradox of choice: why more is less, and its impact on business decisions.

INFO 4380 Decision Processes | 4 Credit Hours»

INFO 4400 Capstone | 4 Credit Hours

This course will give the student an opportunity to apply the knowledge and skills learned in this program to a real- world problem submitted by a partner business. Students will take a business problem from problem definition, model construction and data collection through analysis and presentation of results to recommendations for specific business decisions. Prerequisite: INFO 4200.

Learning Outcomes:

  1. Analyze the decision processes, identify key participants and assess their relationships to effective execution for the particular enterprise.
  2. List the tradeoffs this particular business should consider in selecting the target level of data quality, completeness and integration.
  3. Display and interpret the business intelligence data for this particular enterprise challenge.

Identify and implement the appropriate analytic modeling techniques to a business problem.

INFO 4400 Capstone | 4 Credit Hours

Elective Courses

8 hours of Electives – Choose from the following:

Graduate concentration courses from one of the following areas:

Accounting, Management, Finance, Marketing, Real Estate and Construction Management, or other business, technology and statistics related courses from other disciplines outside the business school.

INFO Electives

INFO 4520 Health Informatics | 4 Credit Hours

Annual health care spending in the United States exceeds 16% of GDP ($2 Trillion) and is expected to continue to increase. The effective use of information technology is perceived as an important tool in increasing the access to and quality of health care delivery in a cost effective manner. This course examines the role of health informatics in the health care delivery and management process. The objectives of this course are to familiarize students with the critical issues and challenges faced by those in the health care environment, what technologies are or will soon be available to potentially address these issues and challenges, potential barriers professionals employed in the health care field may face deploying and managing these technologies, and possible strategies to assist these professionals in addressing and overcoming these barriers. This course focuses on four major areas related to health informatics: the role of electronic health records, clinical decision support systems, analytics, and other ehealth initiatives such as mobile technologies and telehealth.

Learning Outcomes:

  1. Understand the issues related to the deployment and utilization of electronic health records.
  2. Articulate the strengths and weaknesses associated with clinical decision support systems.
  3. Understand and apply basic analytic techniques to healthcare data.
  4. Develop sample eHealth and mobile technology strategies for an organization.

INFO 4520 Health Informatics | 4 Credit Hours»

INFO 47XX Automated Data Analytics (VB and VBA)

INFO 47XX Automated Data Analytics (SAS and R)

Any other INFO 4XXX course based on instructor offerings

Concentrations & Dual Degrees

The Department of Business Information and Analytics offers unique opportunities for MSBA students to simultaneously earn two master-level degrees or to pursue an MBA with an information technology concentration. With the guidance and approval of a program manager, you can also customize your degree to your career interests and goals.

For more information about any of these options, please contact a graduate admissions manager.

Experiential Learning

Learning at Daniels gets you out of the classroom and into the field interacting with business leaders, solving real business problems and using your business skills when the stakes are real. You'll emerge from Daniels business sharp, field tested and ready to lead—adaptable to new situations and well-versed in both big-picture strategic thinking and cross-functional intricacies.

Gain Real-world Experience

At Daniels, our deep connections around the world create ample opportunities for you to meet and learn from the top professionals in your industry of interest. 

  • Global Opportunities (GO) Program: Students travel abroad to tackle a real-world project for a partner organization. Many projects focus on sustainable development issues; how to balance profit and growth with social, cultural and environmental implications. Fulfills the Enterprise Solutions requirement.
  • Voices of Experience: Dynamic discussions with business leaders on the challenges and opportunities in today’s business world.
  • Executive and Alumni Mentoring: Gain insight from an executive and/or alumni mentor in your field of interest.

Push Beyond Your Comfort Zone

Daniels has unique programs that push you beyond your comfort zones, encouraging development in leadership skills and personal growth.

  • Leading at the Edge (Graduate): As part of the required Essence of Enterprise course, you'll travel to the Rocky Mountains to participate in an intensive three-day exercise in outdoor leadership and team-building called “Leading at the Edge.” The intellectually rigorous experience teaches decision making, problem solving, teamwork and how to address ethical issues in times of stress. The weekend aims to establish trust among cohorts and instill the importance of values in leadership. Students find themselves moving from an individual to a collaborative perspective with regard to their future roles in business and the community.

Compete Against the Best

Case competitions provide you with a chance to showcase your critical-thinking, problem-solving and presentation skills—experiencing firsthand the challenges of the business world.

  • Race & Case: Daniels’ signature event that combines an ethics case competition with a ski race.
  • Inclusive Excellence Business Case Competition: Daniels is proud to host one of the country’s few business case competitions focused on diversity. Students tackle a current issue around inclusive excellence, which is a strategic imperative for a participating company.
  • Cable Apprentice Challenge: This unique combination of education and networking with the best and the brightest in the business is a challenge to develop research and analysis tactics to help Comcast Colorado.
  • Association for Corporate Growth Case Competition: A regional business school case competition. The ACG Cup is a case-study competition designed to give students from leading MBA programs invaluable insights into mergers and acquisitions, investment banking, financial advisory and private equity.
  • Aspen Institute's Business & Society International MBA Case Competition: More than 1,000 students from 25 business schools tackle a new case study, authored by the Yale School of Management, requiring innovative thinking at the intersection of corporate profitability and positive social and environmental impacts. You will step into a real-life, time-sensitive scenario demanding integrative decision making—not unlike the challenges that you and your teammates will face as the next generation of business leadership.

Learn more about hands-on learning with business analytics.



At Daniels, our faculty members are passionate about teaching. As scholars who are deeply engaged in the business world, they excel at bridging the gap between theory and real-world application. The result is an academically rigorous and highly relevant learning experience that prepares you for business realities.

Daniels faculty delivers a high level of instruction with a personal touch. Here, you'll find teachers who know your name and care about your goals. They'll become inspiring mentors who challenge your assumptions, encourage your best effort and connect you with business leaders in Denver and beyond.

Learn more about the Business Information & Analytics faculty»

Contact Us

Chair Department of Business Information & Analytics

Dr. Andrew Urbaczewski

Graduate Admissions & Academic Services
General: +1 303.871.3416

Learn more about the Department of Business Information & Analytics