Doctor of Philosophy (Ph.D.) in Data Sciences Degree Program (ANDP) at Harrisburg University

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Doctorate education at Harrisburg University focuses on enabling students to make original contributions to their respective fields of study. There are two phases of the doctoral program at HU: (1) a learning phase that includes coursework, seminars, research, and fieldwork that contributes to the student’s knowledge in the program of study; (2) a research phase that focuses on student’s original research culminating in his/her final examination. Upon a student’s defense of the dissertation and completion of all other requirements, the student is awarded the doctoral degree in the program of study.

 

Program Goals

The Ph.D. in Data Sciences program educational goals are as follows:

Within a few yeares of graduation, the graduate:

  1. Will have applied diverse data science methodologies using a scientific process individually or in teams to provide impactufl insights from large sets of data.
  2. Will have used effective communications to explain insights from analytical processes on data to diverse audiences.
  3. Will have grown professional through self-study, continuing education, and professional development.

 

Student Outcomes

 

HU Competencies Analytics Program Student Outcomes
Critical Thinking ·         Identify and assess the opportunities, needs and constraints for data usage

·         Conduct independent research at a level appropriate for expanding the body of knowledge in the data science domain

Information Literacy ·         Make clear and insighful analyses changing direction quicky as required by these analyses

·         Measure, evaluate, and explain the level of quality of a dataset and determine/develop a plan to improve the quality

Teamwork and Collaboration ·         Work effectively in a team to develop data analytic solutions
Ethical Decision Making ·         Recognize and analyze theitcal issues related to intellectual property, data security, integrity, and privacy
Communication ·         Communicate clearly and persuasively to a variety of audiences

 

 Specific Course Requirements for the Ph.D. in Data Sciences

 Milestone 1:     Complete 6 courses from the following doctoral-level courses – 18 semester hours:

 

ANLY 705 Modeling for Data Science                                                                               (3)

ANLY 710 Applied Experimental &  Quasi-Experimental Design                               (3)

ANLY 715 Applied Multivariate Data Analysis                                                                (3)

ANLY 720 Data Science from an Ethical Perspective                                                    (3)

ANLY 725 Current Topics in Unstructured Data Analysis                                            (3)

ANLY 730 Current Topics in Forecasting                                                                         (3)

ANLY 735 Current Topics in Machine Learning                                                             (3)

ANLY 740 Graph Theory                                                                                                     (3)

ANLY 745 Functional Programming Methods for Data Science                                 (3)

ANLY 755 Advanced Topics in Big Data                                                                            (3)

 

Milestone 2:     Participate in non-credit research symposium

 Milestone 3:     Qualifying examination upon completion of doctor-level coursework and research symposium

Milestone 4:     Participate in the Doctoral Research Seminar specific to their area of research for every semester that they are enrolled in their doctoral program – 6 semester hours:

 ANLY 760 Doctoral Research Seminar                                       (6)

Milestone 5:     Complete the dissertation process – 12 semester hours:

 ANLY 799 Doctoral Studies                                                      (12)

 

 

Recommended Sequence for Ph.D. in Data Sciences Program – The sequence that appears below is based upon that availability of specific courses in each semester and the successful completion of course prerequisites.

 

First Year – Doctorate-Level Courses
Fall Semester Spring Semester Summer Semester
ANLY 705 Modeling for Data Science 3 ANLY 710 Applied Experimental & Quasi-Experimental  Design 3 ANLY 715 Applied Multivariate Data Analysis 3
ANLY Course 3 ANLY Course 3 ANLY Course 3
Total Semester Hours 6 Total Semester Hours 6 Total Semester Hours 6
Second Year – Doctorate-Level  Courses
Fall Semester Spring Semester Summer Semester
ANLY 799 Doctoral Studies 3 ANLY 799 Doctoral Studies 3 ANLY 799 Doctoral Studies 3
ANLY 760 Doctoral Research Seminar 3 ANLY 760 Doctoral Research Seminar 3 ANLY 799 Doctoral Studies 3
Total Semester Hours 6 Total Semester Hours 6 Total Semester Hours 6
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