Online Doctor of Engineering in Artificial Intelligence & Machine Learning

We are now accepting applications for our January 2027 cohort. The deadline to submit your application and have your official transcripts received is November 30, 2026.

Program Description

The online Doctor of Engineering in Artificial Intelligence & Machine Learning is a research-based doctoral program. The program is designed to provide graduates with a solid understanding of the latest AI&ML techniques, as well as hands-on experience in applying these techniques to real-world problems. Graduates of this program are equipped to lead AI&ML projects and teams in a wide range of industries, including healthcare, finance, and manufacturing. Having developed advanced research skills, graduates are also well-prepared for academic research and teaching roles.

Curriculum

The degree requires completion of six graduate-level courses (listed below) and a minimum of 24 credit hours of Praxis Research (SEAS 8588). During the research phase, the student writes and defends a research praxis on a topic related to AI&ML. The topic is selected by the student and approved by the research advising committee.

Learn More About the Courses

SEAS 8510 Analytical Methods for Machine Learning: Python foundations for artificial intelligence and machine learning. Mathematical tools for building machine learning algorithms and linear algebra, analytical geometry, matrix decompositions, optimization, probability and statistics. (4 credit hours)

SEAS 8515 Data Engineering for AI: Developing python scripts to automate data pipelines, data ingestion, data processing, and data warehousing. Machine learning applications with Python including text mining and time series analysis. (4 credit hours)

SEAS 8520 Deep Learning and Natural Language Processing: Processing: Fundamentals of deep learning and natural language processing (NLP). Designing modern deep learning networks using Keras and Tensorflow. NLP topics, including sentiment analysis, bag of words, TF-IDF, large language models. Restricted to students in the online DEng in AI and machine learning program. (4 credit hours)

SEAS 8525 Computer Vision and Generative AI: Image processing, object detection, and generative models in generative adversarial networks and neural networks. Tools for creative AI applications in art and design. Ethical considerations and societal impacts of generative AI technology. (4 credit hours)

SEAS 8530 LLM, RAG, and Agentic AI: Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and agentic AI, covering foundations, prompting, retrieval, tool use, evaluation, safety, memory, deployment, and operations for building reliable AI applications. (4 credit hours)

SEAS 8599 Praxis Development for AI & Machine Learning: Aims and purposes of the praxis in AI and machine learning. Development of praxis research strategies, developing chapters 1 and 2 of the praxis, and overview of research methods and data requirements. Restricted to students in the online DEng in artificial intelligence program. (4 credit hours)

SEAS 8588 Praxis Research for D.Eng. in AI & Machine Learning: Independent applied research in AI and machine learning culminating in the final praxis report and final examination for the degree of doctor of engineering in AI and machine learning. Restricted to students in the research phase of the online DEng in artificial intelligence program. (24 Credit Hours)  

Admissions Process

Review the Admissions Requirements

• Bachelor’s and master’s degrees in engineering, applied science, business, computer science, or a related field from accredited institutions.
• A minimum graduate-level GPA of 3.2
• Capacity for original scholarship.
• TOEFL, IELTS, Duolingo, or PTE scores are required of all applicants who are not citizens of countries where English is the official language.  Check our International Students Page to learn about the SEAS English language requirements and exemption policy. Test scores may not be more than two years old.

Note: GRE and GMAT scores are not required

Please note that our doctoral programs are highly selective; meeting minimum admissions requirements does not guarantee admission.  

Apply for Admission and Submit Supporting Documents

Apply for Admission

• Attach up-to-date Resume
• Attach Statement of Purpose – In an essay of 250 words or less, state your purpose in undertaking graduate study at The George Washington University. Describe your academic objectives, research interests, and career plans. Discuss your qualifications including collegiate, professional, and community activities, and any other substantial accomplishments not mentioned.
• Send Official Transcripts – Official transcripts are required from all institutions where a degree was earned. Transcripts should be sent electronically to %20aidoctorategwu [dot] edu (aidoctorate[at]gwu[dot]edu) or via mail to:

Online Engineering Programs
The George Washington University
800 22nd Street NW, Suite 2885
Washington, DC 20052

Normally, all transcripts must be received before an admission decision is rendered for the Doctor of Engineering program. 

Remain Engaged in the Admissions Process

You will receive emails from us updating you as your application goes through the admissions process.