Academic Program Proposal

Date Proposal Activated	Institution and Proposal	Degree Awarded	Academic Program Name	Objection Deadline	MHEC Final Action	Final Decision Date
	Capitol Technology University Proposal	Doctor of Philosophy (Ph.D.)	Machine Learning	3/2/2023	Recommended	4/17/2023
Machine Learning Program Description
The Doctor of Philosophy (Ph.D.) in Machine Learning degree is a unique program designed to meet the long-standing needs of today&#39;s United States Machine Learning in an everchanging world of conflict. The Ph.D. in Machine Learning program provides students with the opportunity to conduct extensive and sustained, original research at the highest level in the field. The Ph.D. in Machine Learning is designed to meet the <br>demands needed in the AI/cyber world and as IoT becomes more integrated into life. The proposed Ph.D. in Machine Learning degree is for current professionals in the field, <br>which could be serving, retired or civilian based. The degree provides a path for Machine Learning personnel to research leadership and work specific to this sector. The University <br>is in a unique position to give those students an avenue to pursue a deep proficiency in this area using an interdisciplinary methodology, cutting-edge courses, and dynamic faculty. Graduates will contribute significantly to the Machine Learning field through the creation of new knowledge and ideas. The Ph.D. in Machine Learning program is structured for experienced professionals in the Machine Learning field with an <br>appropriate master’s degree and professional experience. It is possible for a student with an appropriate master’s degree and no professional experience to enter the program, but <br>that would be less common than experienced professionals. However, there must be a direct link within this sector. During the program, students will conduct original research <br>in an approved area. Successful completion of the program culminates in the award of the Doctor of Philosophy (Ph.D.) in Machine Learning degree. The completion of the Ph.D. <br>in Machine Learning program requires the student to produce, present, and defend a doctoral dissertation after receiving the required approvals from the student’s Committee and the Ph.D. Review Board, which consists of the Director and Dean with external expertise as needed. There are two options for completion of the Ph.D. in Machine Learning program. Under the dissertation option, the student will produce, present, and <br>defend a doctoral dissertation after receiving the required approvals from the student’s Committee and the Ph.D. Review Board. Under the publication option, the student will produce, present, and defend their original doctoral research after receiving the required approvals from the student’s Committee and the Ph.D. Review Board. The student must also publish three works of original research in a scholarly peer-reviewed journal(s) of high stature. Two of the three published works may be in a peer reviewed conference proceedings if the conference is international and approved by the Dean. A student will <br>produce an exegesis culminating the work for their defense.