Year 1
  • Core courses in theoretical foundations of health interface design, software engineering, human-computer interaction, and research methods.
Year 2
  • Core course (statistics requirement) plus an elective to support research.
  • Personal Health Interface Design, Development, and Evaluation, a two-semester course building upon coursework in Year 1, where students work on an extended project to assess needs in the field and collaboratively design, develop, deploy, and evaluate a personal health interface technology—either in a local clinical setting or an at-risk population associated with one of Bouvé’s centers.
  • This research provides practical experience working in the field with consumers and patients, creating sophisticated technology, conducting formal needs assessment and evaluation, and writing high-quality publications.
  • Course modules provide additional core material, such as running clinical trials, health dialogue systems, and computerized sensing systems.
  • Students will also engage with representatives from the industrial consortium affiliated with the PhD program to solve health science problems within the organizations.
Year 3
  • Two final electives to support research.
  • Qualification exam completed.
  • Dissertation proposal developed.
Years 4-5
  • Teaching requirement
  • Individual research projects.
  • Program graduates will have multiple strong publications showing proficiency in building and deploying novel technologies for consumer- or patient-focused care.
Degree Requirements

Degree Candidacy

A student is considered a PhD degree candidate upon:

  • Completion of core courses with a minimum 3.0 GPA.
  • Completion of qualifying examination.

Dissertation Advising

Each student will have one primary advisor from the core Personal Health Informatics doctoral program faculty.

Dissertation Committee

The committee will consist of at least three members, including:

  • Dissertation advisor.
  • One additional Personal Health Informatics doctoral program faculty member.
  • One member external to Northeastern who is an expert in the specific personal health informatics topic of research.

The committee shall include experts with both health and technology backgrounds. The dissertation advisor must be a full-time member of the Northeastern University faculty.

Qualifying Examination

The three-part qualifying exam is conducted by a committee of three Personal Health Informatics doctoral program faculty members, each overseeing a specific component:

  • Research – Fulfilled when the student submits a high-quality paper to a strong peer-reviewed conference or journal.
  • Health – Fulfilled when the student passes a written exam developed by a Personal Health Informatics doctoral program faculty member with a health sciences background.
  • Technical – Fulfilled when the student passes an exam developed by a Personal Health Informatics doctoral program faculty member with a technical background.

The content of the written exams and paper topic is developed in consultation with each faculty member.

Comprehensive Exam

A PhD student must submit a written dissertation proposal to the dissertation committee. The proposal should identify the research problem, the research plan, and its potential impact on the field. A presentation of the proposal will be made in an open forum, and the student must successfully defend it before the dissertation committee.

Dissertation Defense

A PhD student must complete and defend a dissertation that involves original research in personal health informatics.

Core Courses

A minimum of 48 credit hours of coursework beyond a BS is required for the PhD in Personal Health Informatics. Five core courses (20 SH) are taken by all students. Students must also fulfill:

  • Programming fundamentals requirement (4 SH).
  • Statistics fundamentals requirement (3 SH); course selection can be tailored based on background and experience.
  • Readings course (4 SH); taken in the second semester of the second year to assist students with completion of the qualification exam.
  • Two additional research electives (8 SH); selected from the Personal Health Informatics PhD program electives list based on research interests.

In addition, students are expected to attend the Personal Health Informatics Seminar Series each year.

Elective Courses

Electives are used to build skills in a student’s research area and can be selected from the following categories:

  • Informatics
  • Epidemiology
  • Communication Sciences and Disorders
    Behavior
  • Assessment
  • Software and Security
  • Computational Tools
  • Dissemination
  • Data Science
Learning Outcomes

The PhD in Personal Health Informatics is a research-oriented degree that prepares students for excellence in a specific research area of personal health informatics. As such, some learning outcomes will differ from student to student. However, all program graduates must achieve the following learning outcomes:

  • Acquire a broad understanding of personal health informatics fundamentals across several core areas, including behavioral change and health technology, human-computer interface design and development, research methods and statistics, and research challenges in personal health informatics.
  • Gain significant expertise in at least one research area of personal health informatics.
  • Produce and defend original research in an area of personal health informatics.

Communicate research results effectively in both oral and written forms.

Skills and Knowledge

Developing personal health technologies requires skill and experience designing systems for patients and consumers with a range of backgrounds, in different contexts, and using a variety of media and tools. And it must all be done while ensuring that fielded technologies are effective, reliable, and responsive.

Our students will gain critical skills and knowledge, including:

  • Population needs assessment
  • Theories of interface and user experience design as well as health behavior
  • Software engineering
  • Rapid prototyping and implementation of customizable personal health systems
  • Experimental design with human subjects in challenging settings
  • Research evaluation using statistical data analysis and validation
  • Computational modeling and data analytics

Students put these skills to the test while working on, or leading, interdisciplinary research projects. They work with teams that invent, design, and prove the efficacy of novel health interface technologies with state-of-the-art computational approaches through a lens of empathy and awareness. The program enables graduates to communicate and collaborate effectively with medical personnel, computer scientists, engineers, public health researchers, and policy makers, as well as the patients and consumers who will use these new technologies.