Wake Forest Online MSBA Courses

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Become a Strategic, Data-Driven Business Leader

The online Master of Science in Business Analytics (MSBA) curriculum blends applied statistics, management science, and business domain knowledge, all with the goal of creating future leaders who use data to solve the challenges of tomorrow. Coursework helps you master descriptive, predictive, and prescriptive analytics while leveraging advanced problem-solving skills.

View the MSBA Curriculum Overview

Total Program Credits: 36

Foundational Course Credits: 6

Core Course Credits: 27

Practicum Project Credits: 3

Foundational Courses (6 Credits)

  • BAN 7001 – Probability and Statistical Modeling

    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 completing 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
    • Presenting statistical results to clients in a clear, assessable manner

    Total Credits: 3

  • BAN 7002 – Analytics Software Technology

    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, students 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.

    Total Credits: 3

Core Courses (27 Credits)

  • BAN 7010 – Data Management

    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 be able to:

    • Understand basic concepts and principles of relational database systems.
    • Use normalization procedures to analyze and create relations.
    • Combine data from multiple sources and transform, cleanse, and recode it to make the data usable.
    • Gain 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.

    Total Credits: 3

  • BAN 7020 – Visual Analytics and Influencing

    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.
    • Effectively communicate insights based on analytics to management.

    Total Credits: 3

  • BAN 7040 – Data Mining and Machine Learning

    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 data 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.

    Total Credits: 3

  • BAN 7055 – Decision Analytics

    This course covers how to analytically formulate decision problems using decision analysis, optimization, and simulation models. In addition to model formulation and validation, emphasis is placed on how to perform analysis with models to generate insights, benchmarking to estimate impact, and how to effectively communicate results and recommendations to managers.

    After completing this course, you will:

    • Learn to ask the right questions to properly define a business decision problem and ascertain the most appropriate technique(s) to use to address the problem
    • Be able to use decision analysis when appropriate
    • Be able to construct and use an optimization model when appropriate
    • Be able to construct and use a simulation model when appropriate
    • Learn how to use benchmarking to estimate the impact of your recommendations
    • Gain more experience presenting the results from analyses in both written and oral form

    Total Credits: 3

  • BAN 7065 – Marketing Analytics

    The emphasis in this course is on the collection, analysis, and interpretation of traditional marketing research information as well as modeling and analysis of digital data collected through online channels. Topics such as research process and design, perceptual mapping, A/B testing, market segmentation, recommendation systems, market basket analysis, web analytics, and social media analytics are covered.

    • After completing this course, you will be able to:
    • Translate management problems into feasible research questions.
    • Design and implement research studies.
    • Use marketing research to solve marketing problems and develop creative, innovative management solutions.
    • Utilize popular analytical tools and techniques available to marketing researchers and managers.
    • Understand the biases and limitations of marketing data.
    • Employ appropriate sampling techniques.
    • Understand key digital marketing tactics with a focus on online display advertising, paid and organic search advertising.
    • Design, validate and analyze experiments.
    • Complete the Google Ads Search Certification and Google Analytics Individual Qualification (IQ) Certification.
    • Effectively communicate the insights gained from marketing analytics initiatives into actionable options for decision makers.

    Total Credits: 3

  • BAN 7070 – Forecasting

    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.

    Total Credits: 3

  • BAN 7075 – Process & Supply Chain Analytics

    The focus of this course is on using analytics to improve operational processes as well as how to design an effective supply chain. Topics such as flow analysis, process automation, inventory control, capacity planning, and distribution network design are covered in this course. Emphasis is placed on how to manage the variability in these operational systems.

    • After completing this course, you will:
    • Understand the key concepts in process analytics
    • Learn a set of core strategies and analytical models for process analytics
    • Be able to design the appropriate process model that fits into the business model of the company and the market needs
    • Understand the key drivers of supply chain performance
    • Understand a set of core supply chain strategies and analytical models used for those strategies
    • Develop a supply chain design that supports a given strategy and meets market needs

    Total Credits: 3

  • BAN 7085 – Financial and Risk Analytics

    This course covers financial performance metrics, financial modeling and how to assess and manage risk through descriptive statistics, numerical optimization, regression analysis, probability distributions, decision trees and simulation analysis. Application of these methods to finance will be stressed throughout the course.

    In this course, students will learn to:

    • Interpret financial statements
    • Interpret financial metrics that are used to identify business issues, assess organizational health, and measure organizational performance
    • Understand the types of decisions faced by managers that affect short-term, long-term, and strategic business success
    • Connect operational data with financial metrics
    • Quantify risk through the use monte carlo simulation
    • Apply and interpret the CAPM and multifactor pricing models
    • Construct a portfolio using optimization
    • Use monte carlo simulation to price options

    Total Credits: 3

  • BAN 7090 – Leading the Analytics Organization

    The increased focus of businesses on data and analytics requires data-savvy leaders who have a deep understanding of how to manage analytics projects and 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, and 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 a leader.
    • Apply the GLOBE study’s nine 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 businesses to facilitate information security.
    • Understand the laws and regulations related to privacy.

    Total Credits: 3

Practicum Project (3 Credits)

  • BAN 7095 – Practicum Project

    We encourage students to identify a project from their current employer to benefit from direct application to their work, while creating real-time value for their organization. If a student is not in a position to secure a project from their current employer, our faculty and Center for Analytics Impact maintain strong relationships with our Advisory Board and corporate partners and can assist in sourcing a practicum project.

    Total Credits: 3

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