Courses

The ability to understand, analyze, and interpret data for the benefit of businesses has become increasingly important. Therefore, our objective is to equip you with business analytics skills highly demanded in the current job market. The course will focus on building, evaluating, and comparing machine learning, deep learning, and natural language processing (NLP) models as well as understanding how to apply these models to solve real business problems. The class will be hands-on and the emphasis will be placed on the "know-how" aspect - how to apply business analytics to improve business

This course delves into advanced AutoML techniques and their application in predictive analytics, with an emphasis on model selection, interpretability, and deployment. Students will work with tree-based classifiers, survival models, and cost-benefit frameworks, gaining hands-on experience through multiple case competitions and real-world datasets. The curriculum integrates explainable AI, model optimization, and Python-based web app development to prepare students for building scalable, automated decision systems.

This course offers an in-depth exploration of deep learning, with a strong emphasis on large language models (LLMs) and generative AI. Students will progress from foundational neural network concepts to advanced topics like transformers, pre-trained NLP models, and generative architectures through hands-on cases and real-world applications. Key components include LLM implementation using HuggingFace, text classification, and creative AI systems, culminating in applied projects and competitions.

McIntire aims to train students on the latest business practices and decision-making tools. While this statement describes the entire MS-Commerce curriculum, this 1.5 credit hour current topics course is designed to track analytical tools likely to change more frequently than our other courses. The specific topics and tools covered are subject to change annually, as marketplace demands change.