Core Courses

Master of Science in Business Analytics

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Core Courses


All of our MS Business Analytics students take the following core, or required courses. Please click on a course title to read a description of each course.

DSO 510: Business Analytics

Foundational knowledge for business analytics, including strategies, methods, and tools integrated with hands-on skills for defining business analytics for data-driven decision making and innovation.

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DSO 530: Applied Modern Statistical Learning Methods

Overview of highly computational modern statistical learning methods; applications of logistic regression, neural networks, LASSO, trees, boosting and GAM, etc., to finance and marketing data using Python.

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DSO 545: Statistical Computing and Data Visualization

Data cleaning and reshaping; good vs. bad graphics; univariate, bivariate, trivariate, hypervariate, and time series graphics; interactive graphics; web-related computing. Extensive computer applications using Python.

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DSO 552: SQL Databases for Business Analysts

SQL; relational database systems; data storage; data manipulation; data aggregation.

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DSO 553: NoSQL Databases in Big Data

NoSQL; semi-structured and unstructured databases; data storage; data manipulation; distributed databases.

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DSO 570: The Analytics Edge: Data, Models, and Effective Decisions

Decision making under uncertainty using real data applying the most advanced optimization, statistical and probability methods using Python.

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DSO 573: Data Analytics Driven Dynamic Strategy and Execution

Advanced applications of data analytics in dynamic strategy formulation and execution; analytics and business methods for data connected enterprises to continuously enhance their competitive advantage.

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DSO 595: Internship

Supervised on-the-job business experience in the student’s area of interest (Curricular Practical Training)

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GSBA 542: Communication for Management

Internal and external communication, research methods, reports for decision-making, oral presentations and briefings, strategies to assure communication; field studies.

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GSBA 545: Data Driven Decision Making

Data analysis technologies for business decision making; principles and techniques of statistical inference for business problem solving; foundations of data-driven regression and time series analytics.

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