Required Foundational Courses
Data, Models and Decisions
BMSO 600 | 3 credits
Analyze data using statistical methods to support decision making. Use statistical inference to gain insights into the characteristics of a given population. Build and assess data-based models in order to understand relationships within business environments. Communicate data analysis results to a general audience in order to support business decision-making. Execute statistical methods using R and Excel.
Database Management Systems
BMSO 601 | 3 credits
Identify and explain phases of the data management life-cycle within an organization. Organize data using relational and entity relationship (ER) data models. Build normalized data models based on business rules and data integrity constraints. Design and implement relational databases. Demonstrate familiarity with an enterprise relational database system (e.g. Microsoft SQL Server). Formulate simple and complex queries using Structured Query Language (SQL). Express decision making and analytical needs using SQL queries and a data visualization tool. Describe steps and issues involved with building a data warehouse.
BMSO 602 | 3 credits
Identify an underlying analytical structure in a seemingly complex and amorphous decision problem. Translate a verbal description of a decision problem into a valid optimization or simulation model. Interpret the meaning and assess the validity of a particular optimization model. Interpret the meaning and assess the validity of a particular optimization model. Interpret the meaning and assess the validity of a particular optimization model. Express a given optimization model in an Excel spreadsheet, and find solutions to these problems using the most appropriate algorithm and settings in Solver. Perform sensitivity analysis by tracing the effects of varying a parameter on the optimal decision variables and the objective function. Gain understanding of real-world implementation of optimization problems including model formulation using IBM-OPL. Discuss the role of uncertainty and risk in the decision-making process. Build and run Monte-Carlo Simulation using @RISK.
Data Mining and Predictive Analytics
BMSO 603 | 3 credits
Analyze large amounts of data and generate effective predictions. Develop and evaluate regression, classification, association and clustering models. Apply data analytic methods to common business applications in order to develop effective business solutions. Recognize common pitfalls in order to ensure successful data-mining project outcomes. Develop facilities to work with realistic data sets and industry standard data mining software.
Required Application Courses
Social Media and Web Analytics
BMSO 758A | 3 credits
Utilize Google Analytics to generate and evaluate business insights into website performance. Analyze data generated by A/B split testing and multivariate experiments. Employ Social Network Analysis metrics to support marketing decision making. Utilize paid search marketing techniques in digital environments. Utilize recommendation systems in digital environments. Explain basic search engine operations and analyze search campaign metrics to determine optimal SEM strategy. Explain approaches to text data analysis.
BMSO 758B | 3 credits
Explain counterfactual logic as applied to strategic decision-making. Interpret the relative certainty, and underlying assumptions, of statistical analysis. Identify common inferential errors in statistical analysis and propose potential solutions. Produce sophisticated written and verbal descriptions of business analysis.
Data Processing and Analytics in Python
BMSO 758P | 3 credits
Master basic functions of Python. Create and analyze meaningful data visualizations. Analyze business problems using data.
Big Data and AI for Business
BMSO 758Q | 3 credits
Examine the concepts and strategic importance of Big Data and Artificial Intelligence. Analyze the structure and design principles of big data technology and platforms. Demonstrate the use of important technologies and tools in the big data ecosystem. Explain the concepts of deep learning and specially structured deep neural networks. Demonstrate hands-on skills in the analysis of image and language data.
Elective Healthcare Analytics Track Courses
Healthcare Operations Management and Marketing
BMSO 758C | 3 credits
Assess major business challenges and opportunities in a rapidly evolving healthcare industry. Apply data-driven strategies and tactics to deliver value to healthcare consumers. Analyze operational processes in healthcare settings. Propose potential improvements to hospital operations.
Health Informatics and Information Technologies
BMSO 758D | 3 credits
Model the healthcare IT ecosystem from multiple perspectives (stakeholders, systems, data). Apply different healthcare data to answer questions from key sub-domains (clinical, administrative, quality, mobile health). Discuss the major healthcare technology information standards and interchange methods for electronic health records (EHR) data management and exchange standards such as Health Level-7 (HL7), etc. Identify policy and legal considerations presented by HIT and strategies for dealing with them. Think strategically how health informatics can be deployed to improve practice operations and the experience of delivering care. Analyze and discuss business cases related to healthcare informatics, including both the technical and organizational/systemic dimensions.
Elective Marketing Analytics Track Courses
BMSO 758M | 2 credits
Identify marketing strategy through the 5C and STP approaches. Craft responses to market needs through the 4Ps (product, price, place, and promotion). Apply these approaches through the case method.
BMSO 758A | 2 credits
Identify the steps of the marketing research and analysis process. Describe commonly used exploratory, descriptive, and causal research approaches. Visualize and analyze marketing data. Use R and RStudio to conduct the analysis. Generate and communicate business insights. Apply analytics driven thinking to make effective marketing decisions.
Advanced Marketing Analytics
BMSO 758E | 2 credits
Translate strategic marketing decision problems into well formulated models. Identify operational components used to implement marketing models. Estimate key marketing decision models in R. Interpret model estimation results and use them to recommend managerial decisions.
Elective Financial Analytics Track Courses
BUSO 602 | 2 credits
To help understand the role and relationship of financial statements. To help understand financial transactions and their impact on financial statements. To help understand how to use financial statements to make managerial inferences and decisions.
Corporate Finance I
BUSO 601 | 2 credits
Analyze corporate finance decisions, including investment decisions, and valuation. Use time value of money concepts and formulas to solve investment and corporate finance problems. Apply finance concepts to the solution of financial problems. Analyze problems, weigh alternative solutions, and choose the best possible solution for a company's problems.
BMSO 758F | 2 credits
Analyze a set of financial data to be able to extract relevant information for policy makers, market participants, or other stakeholders/investors. Analyze financial data and determine what machine learning model best addresses the question at hand. Implement the most relevant machine learning model in R to answer financial data problems/questions.