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)