Download the Wake Forest University School of Business online MSBA brochure!

By providing my information and clicking the "Submit" button, I consent to be contacted via telephone (including a cell phone, if provided), email, and text message.

Masters in Business Analytics (MSBA) Online Curriculum

Over the course of the 24-month program, students will begin to transform their strategic thinking via the use of analytics. Students will develop a mastery of descriptive, predictive, and prescriptive analytics while also learning how to leverage their advanced problem solving skills. The MSBA curriculum is tailored for today’s working professional as it provides the skills needed to bring an analytical decision making process to an organization as well as the approach needed to lead and implement strategies backed by data.

For a list of all software taught in the MSBA, click here. 

Term 1

BAN 7001 Probability and Statistical Modeling

3 credit hours

This online course introduces the student to modeling uncertainty including fundamentals of probability, decision analysis, simple linear regression, multiple linear regression and model selection.

After this course, students will be able to:

  • Understand the fundamentals of probability and how probability is used in decision making
  • Use software to explore data, fit models and produce visual displays.
  • Understand how to build and assess statistical models including regression, multiple regression, and ANOVA.  

This includes:

  • Choosing the appropriate statistical model for a particular problem.
  • Knowing the conditions that are typically required when fitting various models.
  • Assessing whether the conditions for a particular model are reasonably met for a specific dataset.
  • Having strategies for dealing with data when the conditions for a standard model are not met.
  • Using the appropriate model to make appropriate inferences.
  • Present statistical results to clients in a clear, assessable manner.

BAN 7002 Analytics Software Technology

3 credit hours

This online course is an introduction to the software packages and coding languages for data management and analytics. Topics include importing data, data manipulation, data cleansing, data transformation, creating new variables and basic data analysis.

After completing this course, student will be able to:

  • Import and export data
  • Use functions and procedures to assess data quality
  • Use functions and procedures for data cleansing and analysis
  • Write functions and use control statements (for/if/then/while)
  • Multiply and perform functions over matrices

Term 2

BAN 7020 Visual Analytics and Influencing

3 credit hours

To be a successful analytics practitioner who can drive impact within an organization, you must be able to effectively communicate with all levels of management. Business professionals who understand descriptive modeling and data visualization can communicate complex analyses in simple, powerful graphs. In this online course, you will learn the principles of effective data visualization as well as approaches to developing a compelling narrative.

In this course students will learn to:

  • Use data visualization methods, techniques, and tools to facilitate the understanding of complex data and models
  • Effectively communicate information to maximize readability, comprehension, and understanding
  • Develop appropriate data visualizations tailored to the needs of a specific audience, task, and data
  • Be able to effectively communicate insights based on analytics to management

BAN 7010 Data Management

3 credit hours

This online course covers concepts related to database design and usage, discusses new approaches to transforming large volumes of data, such as MapReduce, and highlights best practices for manipulating large sets of data.

In this course students will learn to:

  • Understand basic concepts and principles of relational database systems
  • Be able to use normalization procedures to analyze and create relations
  • Be able to combine data from multiple sources and transform, cleanse, and recode it to make the data usable
  • Have a mastery of foundational database skills including joining tables and querying databases
  • Become familiar with the fundamental concepts associated with the management of Big Data
  • Understand the capabilities of leading Big Data software technologies

Term 3

BAN 7030 Business Modeling

3 credit hours

The spreadsheet is the most ubiquitous software used by businesses. In this online course, you will learn how to manage and analyze data and construct business models in a spreadsheet environment. Advanced functions, analysis tools, principles of good modeling and model auditing are discussed.

In this course students will learn to:

  • Effectively manage and analyze data in a spreadsheet environment
  • Use advanced spreadsheet functions to solve business problems
  • Design a logical, well-structured spreadsheet model that is less prone to errors
  • Use auditing tools to help ensure the model is error-free
  • Effectively communicate to management results from spreadsheet business models

BAN 7040 Data Mining and Machine Learning

3 credit hours

This online course focuses on the exploration and analysis of datasets and the development of useful approaches for prediction. Techniques covered include linear and logistic regression, classification, decision trees, clustering, and text mining. While the course focuses on both basic underlying concepts and practical computational skills, emphasis is placed on the analysis of actual datasets and the interpretation of the results.

In this course students will learn to:

  • Develop alternative classification models for predicting entity’s target class by employing logistic regression, CART, random forests, and the naïve Bayes classifier
  • Assess the accuracy of the alternative classification models through the use of the confusion matrix and calculation of measures such as the area under the curve (AUC)
  • Employ the use of holdout samples and cross-validation to evaluate the generalizability of alternative models
  • Utilize hierarchical and nonhierarchical clustering methods to identify patterns in the data
  • Preprocess data (e.g. normalize, stem, remove stop words) to prepare date for text mining applications
  • Employ basic text mining techniques such as Bag of Words and N-gram Sequences to gain insights into unstructured text data
  • Effectively communicate the insights gained from data mining analyses into actionable options for decision makers

Term 4

BAN 7050 Simulation and Risk Analysis

3 credit hours

This online course covers the use of static and dynamic simulation to help manage risk. Topics covered include Monte Carlo simulation, dynamic simulation, distribution fitting, the statistical analysis of simulation output and simulation/optimization for decision-making.

In this course students will learn to:

  • Use Monte Carlo simulation to assess risk
  • Create and apply static and dynamic simulation models to support managerial decision making
  • Construct statistical analysis of simulation output to ensure the validity of simulation study

BAN 7080 Prescriptive Analytics

3 credit hours

Prescriptive analytics is the use of models for yielding a course of action. This online course covers how to formulate a model for a given decision problem, how to perform analysis with the model to generate insights and how to effectively communicate those insights to management. This course also prepares students to be able to identify when a prescriptive model might be helpful to management.

In this course students will learn to:

  • Perform decision analyses using decision trees
  • Develop heuristics to solve problems
  • Mathematically describe and model applications for various problems in business
  • Formulate linear, integer and nonlinear models for various applications
  • Solve optimization models with software and interpret results
  • Effectively communicate results from prescriptive models

Term 5

BAN 7060 Multivariate Analyses and Experimental Design

3 credit hours

This online course covers the topics of multivariate statistics and experimental design and how they are used in business decision-making. The emphasis of the course is on understanding the methodologies, the applications of these to problems in business, and how to use statistical software packages to perform analyses.

In this course students will learn to:

  • Be able to design and conduct multivariate analysis to solve problems in business
  • Be able to conduct multivariate analyses using statistical software
  • Be able to specify and analyze experimental designs appropriate to answer questions in a business context
  • Be able to effectively communicate the result of multivariate analyses and experiments and translate those into actionable results for clients

BAN 7070 Forecasting

3 credit hours

This online course provides practical training in forecasting of business and economic times series using both structural and time-series approaches. Univariate time-series models are identified for forecasting large volumes of data series and multivariate time-series/structural models used in business decisions.

In this course students will learn to:

  • Create structural and time-series based forecasting models
  • Compare model performance for purposes of model selection
  • Effectively communicate results from forecasting models

Future Courses

BAN 7090 Leading the Analytics Organization

3 credit hours

The increased focus of businesses on data and analytics requires data-savvy leaders who have a deep understanding of how to manage analytics projects, how to lead diverse multidisciplinary teams with an understanding of the policy and ethical implications of their use of analytics for making decisions. Topics covered in this online course include project management, building high performance teams, leadership, ethics in the use of big data, legal, privacy and security issues in the use of data and analytics.

In this course students will learn to:

  • Apply best practices in project management
  • Apply course concepts to enhance your development as an ethical analytics business leader who gets results with integrity
  • Understand the components of character and how character is linked to leadership
  • Apply the Ethical Decision-Action model (EDAM) to resolve ethical dilemmas
  • Apply course concepts to build and lead high performing, ethical analytic teams
  • Apply various conflict management approaches to constructively resolve conflict
  • Apply various techniques to enhance your emotional intelligence
  • Analyze and apply various bases of power, influence techniques, and supportive communication techniques to enhance your effectiveness as leader
  • Apply Globe Study’s 9-Cultural Dimensions to formulate a plan to adjust leader behavior to earn employees’ and supervisors’ trust, given a specific cultural region
  • Communicate effectively about the benefits and risks of particular data-related choices
  • Articulate the privacy considerations in the collection, storage, and use of analytics
  • Identify best-practices for business to facilitate information security
  • Understand the laws and regulations related to privacy

Contact our enrollment team to learn more.

Learn More