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.
Curriculum
Core Courses (4 units)
Specialization Courses (7 units)
Course List
Course |
Title |
CIS 435-DL | Practical Data Science Using Machine Learning |
MSDS 400-DL | Math for Modelers |
MSDS 401-DL | Applied Statistics with R |
| 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 List Course | Title |
| Computer Information Systems Capstone Project |
| Capstone Research |