In this STEM-designated program, students focus on deep learning techniques and their applications in business. You will delve into advanced machine-learning methods, including neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs).
The program emphasizes the practical implementation of deep-learning models to solve complex business challenges, such as customer segmentation, predictive analytics and natural-language processing. Through hands-on projects and case studies, you will gain experience with popular deep-learning frameworks, enhancing your ability to make strategic, data-driven decisions.
The MS in Applied Artificial Intelligence & Machine Learning explores the rapidly evolving field of generative AI, with a focus on leveraging large language models (LLMs) for business applications. You will learn to utilize LLMs to automate content creation, enhance customer interactions and drive innovation in various business processes. The program covers the fundamentals of generative AI, ethical considerations and best practices for integrating these models into business strategies.
According to the , employment in computer and information technology occupations is projected to grow much faster than average through 2033.
Admission requires an undergraduate degree in either math or engineering.
ECON 5313 Data Analysis for Business Decisions
MGMT 5703 Ethical, Societal and Legal Environment of Business
IT 5113 Programming for Data Scientists
IT 5213 Data Engineering
IT 5613 Big Data & Cloud Computing
IT 5413 Forecasting
IT 5513 Predictive Analytics
IT 5223 Applied Machine Learning I
IT 5233 Applied Machine Learning II
IT 5243 Generative AI for Business Applications
The Meinders School of Business is AACSB accredited, placing it in the top 4.5% of business schools in the world.
