Master's in Business Analytics Curriculum

Designed as an introduction to Business Analytics, which considers the extensive use of data, methods and fact-based management to support and improve decision making. This course will cover the fundamentals of data structures, transformations and visualizations as well as string manipulation. The class will be built on heavy hands-on coding; it will introduce and subsequently involve extensive use of Python.

Learn how to utlize AI as a tool for learning, doing stats and unlocking data insights in this course. The course willl also show how AI can support analysis with problem solving, probability, distributions, statistcal inference, regression analysis using relevant case studies. 

This course will use platforms like Google Big Query, Tableau and Snowflake to learn entity relationship diagrams, relational schema mapping, SQL, normalization, data visualization and privacy/security.

This course introduced predictive analytics, supervised and unsupervised segmentation, discriminant functions, overfitting and evaluating and improving time series in machine learning.

Use AI-assisted coding methods while learning langauge chains, flow design, multimodal LLMs, reasoning, efficient tuning and tools for model deployment using team-based projects.

MBAX 6331 Market Intelligence

Learn methods for quantitiave and qualitiative analysis, sampling, causality, regression, customer lifetime value (CLV), and model-driven analysis using R

NURS 6286 Foundations of Healthcare Informatics

Use Open AI tools as you learn about the core conceps in healthcare including health IT for safety, quality, consumer-centered care and efficiency.

MSBC 5680 Optimization Modeling

Using Python and Excel you will learn linear programming and how to evaluate for sensitivy analysis and applications. The course also covers how to solve optmization and network models and apply it to large-scale modeling.

MSBX 5417 Fundamentals of AI for Business

Learn about networks, sets, functions, logic, probability expectations, decision theory, correlation vs. causation optimization, vectors, matriices, finite state machines, game theory and feedback loops.

Using tools like R, Python and Big Query you will evaluate a full project lifecycle from understanding business and data, prepartion, data cleanup, data modeling, evaluation, financial analysis and economic impact using data-driven insights and storytelling.

This course dives into tools like Spark for streaming analysis, cloud computing with AWS, and managing databases and distributed computing with tools like Databricks.

Learn an overview of Generative AI and LLMs used for deep learning and reinforcement learnings and how to interpret and explain AI, while diving into the ethical components of AI.

MSBX 5310 Customer Analytics

Learn linear modeling, regrression analysis, perceptual maps, cluster analysis, customer evalution, retention and optimizing a marketing mix model.

MSBX 5320 Digital Advertising

Learn a deep dive into digital advertising including digital campaigns, search, display, programmitic and how to read and interpret data in digital advertising. 

NURS 6290 Information Systems Lifecycle

Get an intro to IS Dev including the planning, analysis, design, implementation and evaluation.

MSBC 5425 NLP for Healthcare Analytics

Learn NLP foundations, biomedical search engines, measuring population health, googling symptoms, doctor visit summaries, chatbot traige using Python. 

MBAX 6843 Supply Chain & Operations Analytics

Learn how to operationalize the supply chain including forecasting, sales, operating planning, waiting time analytics, inventory planning, supply contracts, risk pooling and strategic capacity management. 

MBAX 6410 Process Analytics

This course identifies tools for process design to manage process flows, queing systems, simulation modeling and optmization, culminating in a class project to demonstrate learnings. 

MSBX 5419 Agentic AI

Learn how to build agentic AIs from the ground up setting goals, intent, autonomy to develop the architecture, tools, prompt planning to build agentic AIs for business ops that are evaluated on the success and ethics in agents.

MBAX 6420 IT & Business Strategy

Make data-driven strategy decisions using business models and managing areas of digital transformation, infrastructure and and emerging technologies.