AIBNMS - AI for Business
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30
Complete 6 core courses (18 units) and at least 1 Special Topics course.
Core: 6 courses (18 units)
course: Data Mining and Machine Learning (3)
course: Big Data Technologies (3)
course: Introduction to Deep Learning (3)
course: Generative AI for Business (3)
course: Policy and Ethics of AI for Business (3)
course: Graphs and Network Methods and Applications (3)
Special Topics: choose 1 to 4 courses (3 to 12 units):
course: AI for Digital Platforms (3)
course: AI for Healthcare (3)
course: AI for Cybersecurity (3)
course: AI for Business Intelligence (3)
For remaining credits, students can choose courses among Special Topics and Electives (below).
Electives: 0 to 9 units (depending on how many Special Topics courses were taken)
course: Cyber Threat Intelligence (3)
course: Business Intelligence (3)
course: Fundamentals of Cloud Computing and its Design Strategies (3)
course: Data Visualization (3)
course: Optimization and Decision Support Modeling for Business (3)
course: Econometrics (3)
course: Neural Networks (3)
course: Applied Natural Language Processing (3)
course: Cyber Physical Systems (3)
course: Secure Critical Infrastructures and Artificial Intelligence (3)
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