Master of Artificial Intelligence

Curriculum

Minimum Credits Required 30
Maximum 400-Level Credit 10
Minimum CS/CSP Credit 18
Artificial Intelligence Core Courses (6)
CS 480Introduction to Artificial Int3
or CS 581 Advanced Artificial Intelligen
CS 584Machine Learning3
or MATH 569 Statistical Learning
Data Analytics Course (3)
Select three credit hours from the following:3
Advanced Data Mining3
Interact/Trans Mach Learning3
Probabilistic Graphical Models3
Topics in Computer Science3
Big Data Technologies3
Data Preparation and Analysis3
Applied Statistics3
Bayesian Computational Stats3
Data Processing Course (3)
Select three credit hours from the following:3
Data Integration Warehousing3
Advanced Database Organization3
Parallel and Distributed Proc3
Data-Intensive Computing3
AI Applications Courses (6)
Select six credit hours from the following:6
Computer Vision3
Online Social Network Analysis3
Natural Language Processing3
Interdisciplinary Elective Course (2-3)
Select two to three credit hours from the following:2-3
Neurobiology3
Bioinformatics3
BME Applications of Statistics3
Neurobiology2
Intro to Linguistics3
Humanizing Technology3
Comptl Intllgnc Engineering3
Introduction to Robotics3
Robotics3
Computational Finance3
Ethics in Computer Science3
Learning Theory3
Cognitive Science3
Cognitive and Affective Bases3
Elective Courses (9-10)
Select 9-10 credit hours of 400-level and above CS or CSP courses. 19-10