Online Doctor of Engineering in Artificial Intelligence & Machine Learning - George Washington Unv.

Hi everyone

https://seasonline.gwu.edu/doctoral-degrees/ai-and-machine-learning/

It seems a good program. Too expensive to me, but seems solid. I don't know about the university, though.

A few extractions from the page

Introduction
The D.Eng. in Artificial Intelligence and Machine Learning program addresses the widespread and growing need for practitioners who can learn advanced artificial intelligence concepts and tools and apply that knowledge in real-world systems and applications. We became aware of this need in part based on the offering of our master’s and doctoral degrees in cybersecurity, cloud computing management, and engineering management and systems engineering. Alumni from these programs and other leaders in industry and government have expressed the need for a doctoral program that provides working professionals additional technical depth and a terminal degree that recognizes their expertise and standing in their field.

A Doctor of Engineering (D.Eng.) in Artificial Intelligence and Machine Learning (AI & ML) is a research-focused doctoral degree program that aims to prepare graduates for leadership roles in industry and academia. This program is designed to provide students with a deep understanding of the latest AI and machine learning techniques, as well as hands-on experience in applying these techniques to real-world problems.

Graduates of this program are equipped to lead AI and machine learning projects and teams in a wide range of industries, including healthcare, finance, manufacturing, and more. They are also well-prepared for academic research and teaching roles, as they will have developed advanced research skills and the ability to communicate complex ideas to a variety of audiences.

Program Objectives
The objectives of the Doctor of Engineering in Artificial Intelligence and Machine Learning are to ensure that graduates:

• Master advanced theory and practice for building state-of-the-art AI and machine-learning models.
• Understand the societal and ethical impacts of AI.
• Lead their organization in building and scaling AI for maximum business impact.

Program Format
The degree requires 24 credit hours of graduate level courses and a minimum of 24 credit hours of research during which the student writes and defends a praxis paper on a topic related to Artificial Intelligence and Machine Learning, chosen by the student and approved by the advising committee.

The taught part has 24 credit hours with 1750 per credit (42k total).






Rafa

 

I had been admitted to the program but opted to not pursue it.

 

I am curious why you didn't pursue it ~$25,000 seems reasonable

 

Personal reasons. On July 10th, the day before I received the admissions decision, we had a 6 week old baby placed with us from CPS. We have 6 year old twin boys and a 4 year old daughter who are in school and my evenings would have been free to do it but with the addition of a baby and going through court hearings, meetings, foster care requirements, and now adoption stuff, I just felt it was in the best interest of my wife, kids, and the baby that I not go through with it.

 

Yeah, those are amazing reasons

 

GWU is a well-known school, especially in the Eastern United States. I once attended GWU for a Master of Science in Telecommunications, but I left for SMU because SMU offered a 50% tuition discount for Military members. I almost considered this program as my best friend enrolled in GWU's Doctor of Engineering in Cybersecurity Analytics. But there are two issues that I might not comprehend.

1. Tuition is expensive for a Professional Doctorate ($1,750.00 x 48 = $84,000); especially I am self-funded.
2. A fast-paced environment, four classes per semester, is quite extreme for professionals with full-time jobs and family obligations

Most of its faculty are GWU's graduates, mainly from previous programs (Ph.D. in System Engineering/Engineering Management or Doctor of Engineering). Several faculty members are teaching the Doctor of Engineering programs, but they are also the program candidates.