Executive Ph.D. in Artificial Intelligence

Residency Session dates are determined by the course that you are registered for. It is very important that you make note of the class you registered for, as well as the designated residency weekend for that course as each course will only meet one weekend for the duration of the semester.

You can view your semester schedule in your self-service portal in your Student Profile. Once you log into your MyUC account, click on Academics, then click on Current Schedule. Your schedule details will indicate the date and location of your residency weekend.

You can find information on the residency site locations on our website.

Attendance to each executive residency class session is mandatory. Students may make up no more than one (1) residency session throughout the duration of their academic program. Missing a second residency will result in the student being dismissed from the university.

A missed session will result in the student attending a make-up session, and paying a $300 residency make-up fee. In addition, the student may be asked for documentation from the program department providing an explanation as to why the scheduled residency session was missed. Make-up sessions must be completed prior to the end of the term. Noncompliance with this policy will result in dismissal from the executive program.

The Department of International Graduate Services will contact you via your UC student email as registration for the next term approaches. Please remember that you are required to register for (one) main class, (one) online class, and Applied Learning Practicum each semester in order to maintain your F1 status – late registration will not be accepted and can result in the termination of your student status. 

Once you register for a class you will want to make note of the residency weekend that your class is scheduled, as that is the only session for that class that will be scheduled for the semester. You will need to be sure to plan your travel accordingly to ensure that you are in attendance for the full residency session.

Registration is done on a first-come, first-serve basis. Once a course is full, there will not be additional seats added, as we cannot exceed classroom seating capacity; therefore, it is advised that you register for classes as much in advance as possible. As a reminder, students cannot register for future semesters until their current tuition balance is paid in full.

*Please note all times are in local time zone*

Friday

Facility will open at 4:00 p.m.

Saturday

Facility will open at 7:00 a.m.

Sunday

Facility will open at 7:00 a.m.

We ask that you please take note of the above-mentioned times and schedule your travel accordingly.

*These dates have been set; however, if any changes are made, they will be made prior to registration for that semester. Not all dates are available at each residency location.

Fall 2024 (August 26th – December 13th)

• September 27 – 29
• October 4 – 6
• October 11 – 13
• October 18 – 20
• October 25 – 27
• November 1 – 3
• November 8 – 10
• November 15 – 17
• November 22 – 24 

Spring 2025 (January 6th – April 30th)

• January 31-February 2
• February 7-9
• February 14-16
• February 21-23
• February 28-March 2
• March 7-9
• March 14-16
• March 21-23
• March 28-30
• April 4-6
• April 11-13

An executive Ph.D. in Artificial Intelligence (AI) is a terminal doctoral degree focused on advanced research, innovation, and leadership in the design, development, and ethical application of intelligent systems. The hybrid program prepares scholars and professionals to conduct original research in areas such as machine learning, deep learning, neural networks, natural language processing, computer vision, and responsible AI.

Most executive Ph.D. in Artificial Intelligence programs are designed to be completed in three to five years, depending on the student’s academic background, research focus, and dissertation progress. This hybrid program typically includes advanced coursework, comprehensive examinations, original research, and the completion and defense of a doctoral dissertation.

Yes, many institutions offer this degree in a hybrid format, combining online coursework with mandatory in-person residency sessions. This flexible format accommodates the needs of working professionals while providing practical training and networking opportunities.

An executive Ph.D. in Artificial Intelligence prepares graduates for advanced leadership, research, and academic roles where deep technical expertise and strategic thinking are required. Common career paths include AI research scientist, machine learning architect, chief AI officer, data science director, AI ethics or governance advisor, and university faculty.

An executive Ph.D. in AI is designed for professionals and scholars who want to move beyond application and into innovation, leadership, and original research. Ideal candidates include individuals with backgrounds in computer science, data science, engineering, information technology, mathematics, or related fields who are motivated to solve complex problems using artificial intelligence.

To earn an executive Ph.D. in Artificial Intelligence, students must complete an accredited doctoral program that includes advanced coursework, original research, and a dissertation. Most programs require a relevant master’s degree, strong preparation in computer science, data science, mathematics, or engineering, and a formal application with academic credentials.

An executive Ph.D. in Artificial Intelligence is worth it for individuals seeking long-term leadership, influence, and impact in the AI field. While it requires significant time and intellectual investment, this hybrid degree opens doors to senior-level roles, higher earning potential, academic careers, and positions of authority in AI research, strategy, ethics, and policy.