Doctor of Philosophy (PhD) in Machine Learning
Earn a Ph.D. in Machine Learning and discover the elements of artificial intelligence, computer engineering, and data analytics involved in this evolving field.
The doctoral degree in Machine Learning explores the ways in which algorithmic data is generated and leveraged for statistical applications and computational analysis in model-based decision-making. Students will learn the current operations, international relationships, and areas of improvement in this field, as well as research methodologies and future demands of the industry.
The PhD in Machine Learning is for current or experienced professionals in a field related to machine learning, artificial intelligence, computer science, or data analytics. Students will pursue a deep proficiency in this area using interdisciplinary methodologies, cutting-edge courses, and dynamic faculty. Graduates will contribute significantly to the Machine Learning field through the creation of new knowledge and ideas, and will quickly develop the skills to engage in leadership, research, and publishing.
As your PhD progresses, you will move through a series of progression points and review stages by your academic supervisor. This ensures that you are engaged in research that will lead to the production of a high-quality thesis and/or publications, and that you are on track to complete this in the time available. Following submission of your PhD Thesis or accepted three academic journal articles, you will have an oral presentation assessed by an external expert in your field.
Why Capitol?
Expert guidance in doctoral research
Capitol’s doctoral programs are supervised by faculty with extensive experience in chairing doctoral dissertations and mentoring students as they launch their academic careers. You’ll receive the guidance you need to successfully complete your doctoral research project and build credentials in the field.
Proven academic excellence
Study at a university that specializes in industry-focused education in technology-based fields, nationally recognized for academic excellence in our programs.
Program is 100% online
Our PhD in Machine Learning is offered 100% online, with no on-campus classes or residencies required, allowing you the flexibility needed to balance your studies and career.
Faculty
Dr. Charles Conner
Associate Chair, Director of Engineering Labs
Dr. Charles (Chuck) Conner is Associate Chair of Engineering and Director of Engineering Labs at Capitol Technology University. He previously served as both an adjunct and full-time professor of Engineering at Capitol Technology University and has been instrumental in securing numerous ABET accreditations for the University. Dr. Charles Conner has worked in industry and academia since 1980. His specialty is digital signal and image processing. He started teaching (part-time) in 1984.
Dr. William Butler
Vice President
Dr. William (Bill) Butler is currently the Vice President of Academic Affairs at Capitol Technology University. Prior to this appointment in 2021, Dr. Butler served as Cybersecurity Chair for 8 years at Capitol Tech. Earlier in his career, he worked in the networking and IT industries as a network engineer and consultant for over 20 years. He also served as a joint qualified communications information systems officer in the U.S. Marine Corps and retired as a Colonel with 30 years of service (active and reserve). Dr. Butler holds a Doctorate in cybersecurity earned from Capitol focusing on preserving cellphone privacy and countering illegal cell towers (IMSI catchers).
Dr. Ian McAndrew
Dean
An internationally recognized leader in research and expert on low-speed flight, Dr. McAndrew has five degrees: a PhD, two master’s degrees and two bachelor’s degrees. He is a Fellow of the Royal Aeronautical Society. Dr. McAndrew chairs several international conferences and journals and is invited to give keynote speeches all over the world. He started his career in the automotive industry as an engine designer, and has worked at several universities across the globe. Dr. McAndrew is Dean of doctoral programs at Capitol Technology University. An external examiner on the world wide stage (UK USA, Germany, Italy, Jordan, Japan, Australia, Greece and Kenya) his experience includes over 115 successful Doctorate successes.
Dr. Richard Baker
Dissertation Chair
Dr. Richard Baker is Dissertation Chair of Graduate Programs at Capitol Technology University. He previously served as associate professor in Indiana State University’s Department of Aviation Technology, and as executive director of the Center for Unmanned Systems and Human Capital Development. Richard holds a BS in mathematics and an MS in computer science from Indiana State University. He received his doctorate in information systems from Nova Southeastern University.
Career Opportunities
Market demand for machine learning expertise
Graduates will contribute significantly to the rapidly growing machine learning field through the creation of new knowledge and ideas, and will be prepared for in-demand roles such as a trusted subject matter expert, researcher, technician, manager, or professor.
Details
This program may be completed with a minimum of 60 credit hours, but may require additional credit hours, depending on the time required to complete the dissertation/publication research. Students who are not prepared to defend after completion of the 60 credits will be required to enroll in RSC-899, a one-credit, eight-week continuation course. Students are required to be continuously enrolled/registered in the RSC-899 course until they successfully complete their dissertation defense/exegesis.
Tuition & Fees
Tuition rates are subject to change.
The following rates are in effect for the 2024-2025 academic year, beginning in Fall 2024 and continuing through Summer 2025:
- The application fee is $100
- The per-credit charge for doctorate courses is $950. This is the same for in-state and out-of-state students.
- Retired military receive a $50 per credit hour tuition discount
- Active duty military receive a $100 per credit hour tuition discount for doctorate level coursework.
- Information technology fee $40 per credit hour.
- High School and Community College full-time faculty and full-time staff receive a 20% discount on tuition for doctoral programs.
Find additional information for 2024-2025 doctorate tuition and fees.