- The Master of Science in Artificial Intelligence degree provides an advanced set of foundational skills preparing students to work in a field with applications across industries.
- he program's industry-led curriculum has a broad focus and covers the principles and technologies that underlie Artificial Intelligence (AI), including logic, regression, and machine learning (ML).
- Self-driving cars, robotic assistants, automated disease diagnosis, and Google search algorithms are just some of the many applications of AI.
- Outstanding Faculty
Industry leaders and academic experts offer a wide range of practical knowledge and industry experience. - Flexible Schedule for Working Professionals
Conveniently scheduled evening and weekend classes that fit your work schedule. - Cohort
A cohort experience that enables a deeper and wider exchange of knowledge and networking with peers -
Upon successful completion of the program, students will be able to:
1. Identify and apply fundamental concepts, algorithms, and methodologies to formulate, analyze, design, and evaluate artificial intelligence and machine learning systems;
2. Tackle complex machine learning and artificial intelligence problems using contemporary principles, algorithms, technologies, methodologies, and tools;
3. Lead and participate in a team to develop AI and machine learning applications;
4. Recognize the ethical, economic and environmental implications of their work, as appropriate;
5. Sustain a process of life-long learning in engineering or other professional areas; and,
6. Communicate effectively and persuasively with a variety of audiences
- A master’s thesis includes original research on a topic approved by the thesis committee and must meet university requirements as stipulated in this catalog.
- It undergoes a thorough review and revision process under the guidance of the candidate’s thesis committee chair with the assistance of the thesis committee.
Program Features
Program Learning Outcomes:
For the completion for the course,you need to complete coursework of 33 units and one of the following culminating experiences: thesis or project. Thesis and projects are completed under the supervision of an advisor.
Plan A (Thesis)
Plan B (Project)
A master’s project is a research or development effort performed by a student individually on a topic chosen by mutual agreement between an advisor and the student. The choice of project topic is also approved by the Graduate Advisor.
The individual student projects could be distinct components of a larger integrated project performed by a team of students. Students complete CMPE 295A and CMPE 295B.
At the end of CMPE 295B, a project report is submitted for department review, and students present their project work in a department project exposition.