Core Courses
Creating Business Value With AI (JCB701)
Exploring Good Old-Fashioned AI (GOFAI) (JCB702)
Leveraging Data for AI Solutions (JCB703)
Expanding AI Power and Value Through Neural Networks (JCB704)
Innovating With Generative AI (JCB705)
Understanding Data Analytics (CEEM581)
Finding Patterns in Data Using Association Rules, PCA, and Factor Analysis (CEEM582)
Finding Patterns in Data Using Cluster and Hotspot Analysis (CEEM583)
Regression Analysis and Discrete Choice Models (CEEM584)
Supervised Learning Techniques (CEEM585)
Neural Networks and Machine Learning (CEEM586)
Problem-Solving with Machine Learning (CIS531)
Estimating Probability Distributions (CIS532)
Learning with Linear Classifiers (CIS533)
Decision Trees and Model Selection (CIS534)
Debugging and Improving Machine Learning Models (CIS535)
Learning with Kernel Machines (CIS536)
Deep Learning and Neural Networks (CIS537)
Linear Algebra: Low Dimension (CAS531)
Matrix and Linear Algebra: High Dimension (CAS532)
Electives (Choose one track)
Natural Language Processing With Python (Elective Track 6 courses)
Natural Language Processing Fundamentals (CIS571)
Transforming Text Into Numeric Vectors (CIS572)
Classifying Documents With Supervised Machine Learning (CIS573)
Topic Modeling With Unsupervised Machine Learning (CIS574)
Clustering Documents With Unsupervised Machine Learning (CIS575)
Conducting Semantic and Sentiment Analysis (CIS576)
AI for Digital Transformation (Elective Track 6 courses)
AI and Digital Technology: Opportunities and Pitfalls (CTECH431)
Demystifying AI and Digital Technologies (CTECH432)
AI and the Future of Work (CTECH433)
Identifying New Business Models Enabled by AI (CTECH434)
Creating a Digital Builder Culture (CTECH435)
Data-Driven Leadership (CTECH436)