Information Systems, MS Artificial Intelligence Specialization

Recent advances in machine learning and artificial intelligence are affecting the work of data scientists and information systems professionals. Key applications involve computer vision and natural language processing. Advances are possible due to increased storage, faster computers, and better algorithms. Students in this specialization utilize contemporary deep learning methods as they work on research and programming assignments.


Core Courses (4 units)

Course Title
CIS 413-DL
CIS 417-DLDatabase Systems Design & Implementation
MSDS 430-DLPython for Data Analysis
CIS 498-DLComputer Information Systems Capstone Project
or CIS 590-DL Capstone Research

Specialization Courses (7 units)

Course Title
CIS 435-DLPractical Data Science Using Machine Learning
MSDS 400-DLMath For Data Scientists
MSDS 401-DLApplied Statistics with R
Any four of the following
Natural Language Processing
Artificial Intelligence and Deep Learning
Knowledge Engineering
Computer Vision
Intelligent Systems and Robotics

About the Final Project

Students may pursue their capstone experience independently or as part of a team. As their final course, students take either the individual research project in an independent study format or the classroom final project class in which students integrate the knowledge they have gained in the core curriculum in a project presented by the instructor. In both cases, students are guided by faculty in exploring the body of knowledge on information systems while contributing research of practical value to the field. The capstone independent project and capstone class project count as one unit of credit.

Course Title
Choose one
Computer Information Systems Capstone Project
Capstone Research