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Mar 21, 2026
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2026-2027 Graduate Catalog
Data Sciences, Ph.D.
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Our Data Science PhD program is a research-focused degree geared towards guiding students to independent research and practical problem solving by applying principles of Data Science to diverse domain applications. The program requires a minimum of 36 semester hours. In the first year, students complete 18 semester hours of upper-level courses; each semester students take two courses (6 semester hours). Students take four foundational courses focused on statistical thinking and research design, one topic-based seminar course, and one elective course. Upon completion of the first year, students take a 6-semester hour doctoral seminar during which time a comprehensive exam is administered, and students select a dissertation topic and chair who will serve as their primary advisor for their dissertation research. Once a student has passed the comprehensive exam, they will complete at least 2 semesters (12 semester hours) of Doctoral Studies. During the first semester, students will complete and defend a dissertation proposal. Then, students must complete and defend their final dissertation.
Mission Statement
The mission of the Harrisburg University Data Sciences Program is to create scientifically minded and technically proficient professionals with a comprehensive background in the methodological diversity of the data sciences and the intellectual depth to offer influential perspectives to analytical teams across disciplines.
Program Goals
The Data Sciences Program will produce Ph.D. graduates who:
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Assess the objectives, scope, and methodological limitations for domain-specific problems;
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Conduct appropriate and insightful research;
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Connect domain-specific applications to contributions to the data science field;
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Analyze ethical issues in research related to intellectual property, data security, integrity, and privacy; and,
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Communicate effectively to a variety of audiences.
*Work experience is a requirement for successful applied learning during the full course of your degree program. If you are an F1 student, eligible CPT authorizations are required. If you are unable to work, you must submit a Waiver of Required Work Experience to your program lead.
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Data Sciences Requirements
The following comprises the requirements for the Ph.D. in Data Sciences. Requirements include a minimum of 36 semester hours and non-credit program requirements. When applicable, the semester hour value of each course appears in parentheses ( ). Additional information regarding Doctorate programs can be found in the Doctorate Guidebook. Complete 18 semester hours from the following upper-level courses:
Collaborative Institutional Training Initiative (CITI) Training
CITI Training includes training modules on human subjects and ethical research. Harrisburg University requires that all research involving human subjects, including the use of secondary and primary data, be reviewed by the University’s Institutional Review Board (IRB) to ensure protection of the rights of human subjects. Complete 6 semester hours from the following Doctoral Research Seminar:
Comprehensive Exam
The student will demonstrate fundamental knowledge by successfully completing a Comprehensive Exam. Dissertation Committee Chair
The student will establish the Chair for their Doctoral Dissertation Committee. Complete 12 semester hours of ANLY 799-Doctoral Studies:
Prerequisite: Completion of Milestone 3 Dissertation Committee
The student will establish a Doctoral Dissertation Committee (full committee). Degree Audit
A degree audit will be completed by the Records and Registration Office to provide the student with current status of progress in the program. Institutional Review Board (IRB) Approval
The student will receive approval of research from Harrisburg University’s Institutional Review Board (IRB). Research Proposal Defense
The student will schedule and complete their Research Proposal Defense. Dissertation Defense
The student will schedule and complete their Dissertation Defense. |
Return to: Academic Programs by Department
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