Program Overview

Engineering Extended Studies

The Charles W. Davidson College of Engineering offers various programs through Engineering Extended Studies (EES).

About Us

• The EES provides opportunities for students to advance their knowledge and skills in engineering.
• Enrollment data and organization charts are available for review.
• The faculty and staff are dedicated to providing a high-quality education.
• A strategic plan is in place to guide the EES in its mission.

Admissions

• Admission requirements and steps to admission are outlined.
• Frequently asked questions are addressed.
• Prequalification is required for some programs.

Corporate Programs

• KLA - MS Engineering, Specialization in Optoelectronic Systems
• AMAT MSE Specialization in Semiconductor Process Engineering
• Lam Research MS Engineering, Specialization in Systems Engineering
• Lockheed Martin - MS Artificial Intelligence
• Lockheed Martin - MS Engineering, Specialization in Systems Engineering
• Lockheed Martin MS Mechanical Engineering
• Lockheed Martin- MS Electrical Engineering, Specialization in Robotics and Autonomy
  • Class location and contact information are available.
  • Program overviews, learning objectives, and schedules are provided.
  • Prequalification requirements and program descriptions are outlined.

Public Programs

• MS Engineering, Specialization in Advanced Energy Systems
• MS Artificial Intelligence
• MSE, Healthcare Engineering
• MSSE, Specialization in Cloud and Mobile Computing
• MSSE, Specialization in Data Science
• MSSE, Specialization in Enterprise Technologies
  • Class locations and contacts are available.
  • Program descriptions, learning outcomes, and overviews are provided.
  • Admission requirements and program schedules are outlined.
  • Specialized courses and student testimonials are available.

Program Learning Outcomes (PLO's)

For students graduating with MS Artificial Intelligence degrees:

1. Demonstrate an understanding of advanced knowledge of the practice of artificial intelligence and machine learning.
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. Be aware of ethical, economic, and environmental implications of their work.
5. Advance successfully in their profession and sustain a process of life-long learning.
6. Communicate effectively and persuasively with a variety of audiences.

MS Artificial Intelligence

• Class location and contact information are available.
• Program description, learning outcomes, and overview are provided.
• Program schedules and course descriptions are outlined.
• Specialized AI courses and student testimonials are available.
• AI program requirements are outlined.