Minor in Digital Health
Program Learning Outcomes for the Minor in Digital Health
Upon completing the minor in Digital Health, students will be able to:
- Design and implement technical solutions to real-world digital health problems.
- Apply biomedical and health science knowledge in the design and evaluation of AI-based digital health solutions and communication with stakeholders.
- Evaluate and apply regulatory, ethical, and privacy concerns specific to technologies applied to diagnostics and personalized medical devices.
Requirements for the Minor in Digital Health
Students pursuing the minor in Digital Health must complete:
- A minimum of 6 courses (18-20 credit hours, depending on course selection) to satisfy minor requirements.
- A minimum of 3 courses (9 credit hours) taken at the 300-level or above.
- A maximum of 2 courses (6 credit hours) from study abroad or transfer credit. For additional program guidelines regarding transfer credit, see the Policies tab.
The courses listed below satisfy the requirements for this minor. In certain instances, courses not on this official list may be substituted upon approval of the minor’s academic advisor or, where applicable, the Program Director. (Course substitutions must be formally applied and entered into Degree Works by the minor's Official Certifier). Students and their academic advisors should identify and clearly document the courses to be taken.
Summary
| Code | Title | Credit Hours |
|---|---|---|
| Total Credit Hours Required for the Minor in Digital Health | 18-20 | |
Minor Requirements
| Code | Title | Credit Hours |
|---|---|---|
| Core Requirements | ||
| Introductory Core: Devices or AI 1 | ||
| Select 1 course from the following: | 3 | |
| WEARABLE BIOSENSORS | ||
| MACHINE LEARNING OF BIOMEDICAL TIME SERIES | ||
| Project-Based Capstone Core: Devices or AI 1 | ||
| Select 1 course from the following: | 3 | |
| NEURAL INTERFACE ENGINEERING LABORATORY | ||
| ARTIFICIAL INTELLIGENCE FOR HEALTH | ||
| Elective Requirements | ||
| Select 4 courses from the following categories: | 12-14 | |
2 courses from Digital Health Technology (see course list below) | ||
1 course from Digital Health Sciences (see course list below) | ||
1 course from Ethics/Human Factors (see course list below) | ||
| Total Credit Hours | 18-20 | |
Footnotes and Additional Information
| 1 | Coursework used to fulfill Core Requirements may not fulfill Elective Requirements. The same course may not be used to satisfy more than one requirement for this minor. |
Course Lists to Satisfy Requirements
Elective Requirements
To fulfill the remaining Digital Health minor requirements, students must complete a total of 4 elective courses (12-14 credit hours, depending on course selection) from the following three categories as listed below. 2 courses (6-8 credit hours, depending on course selection) must be selected from Digital Health Technology, 1 course (3 credit hours) must be selected from Digital Health Sciences, and 1 course (3 credit hours) must be selected from Ethics/Human Factors.
| Code | Title | Credit Hours |
|---|---|---|
| Digital Health Technology | ||
| Select 2 courses from the following: | 6-8 | |
| DATA SCIENCE AND MACHINE LEARNING | ||
| PRACTICAL MACHINE LEARNING FOR REAL WORLD APPLICATIONS | ||
| MACHINE LEARNING FOR DATA SCIENCE | ||
| DIGITAL LOGIC DESIGN | ||
| MACHINE LEARNING: CONCEPTS AND TECHNIQUES | ||
| VLSI SYSTEMS DESIGN | ||
| MOBILE AND EMBEDDED SYSTEM DESIGN AND APPLICATION | ||
| COMPUTER SYSTEMS ARCHITECTURE | ||
| DIGITAL SIGNAL PROCESSING | ||
| FUNDAMENTALS OF CONTROL SYSTEMS | ||
| INTRODUCTION TO COMPUTER VISION | ||
| LEARNING FROM SENSOR DATA | ||
| INTRODUCTION TO MACHINE LEARNING | ||
| IMAGING OPTICS | ||
| MODELING OF DYNAMIC SYSTEMS -LECTURE & LAB | ||
| DESIGN OF MECHATRONIC SYSTEMS | ||
| INTRODUCTION TO ROBOTICS | ||
| LINEAR REGRESSION | ||
| INTRODUCTION TO STATISTICAL MACHINE LEARNING | ||
| INTRODUCTION TO BAYESIAN INFERENCE | ||
| Code | Title | Credit Hours |
|---|---|---|
| Digital Health Sciences | ||
| Select 1 course from the following: | 3 | |
| BIOMEDICAL ENGINEERING INSTRUMENTATION | ||
| INTRODUCTION TO NEUROENGINEERING: MEASURING AND MANIPULATING NEURAL ACTIVITY | ||
| WEARABLE BIOSENSORS | ||
| MACHINE LEARNING OF BIOMEDICAL TIME SERIES | ||
| PRINCIPLES OF BIOMEDICAL OPTICS AND ULTRASOUND | ||
| NEURAL INTERFACE ENGINEERING LABORATORY | ||
| BIOMEDICAL OPTICAL IMAGING AND APPLICATIONS | ||
| ELECTROMAGNETISM AND THE BRAIN | ||
| ARTIFICIAL INTELLIGENCE FOR HEALTH | ||
| MACHINE LEARNING AND SIGNAL PROCESSING FOR NEURO ENGINEERING | ||
| NEUROMUSCULOSKELETAL MODELING AND SIMULATION | ||
| ENVIRONMENTAL RISK ASSESSMENT & HUMAN HEALTH | ||
| BIOSTATISTICS | ||
| Code | Title | Credit Hours |
|---|---|---|
| Ethics/Human Factors | ||
| Select 1 course from the following: | 3 | |
| INTRODUCTION TO MEDICAL HUMANITIES | ||
| ETHICAL DEBATES IN MEDICINE: DIGNITY AND WELFARE | ||
| RESPONSIBLE AI FOR HEALTH | ||
| MEDICAL ETHICS | ||
| MEDICAL HUMAN FACTORS | ||
| HUMAN FACTORS IN ARTIFICIAL INTELLIGENCE | ||
Policies for the Minor in Digital Health
- As noted in Majors, Minors, and Certificates, i.) students may declare their intent to pursue a minor only after they have first declared a major, and ii.) students may not major and minor in the same subject.
Transfer Credit
For Rice University’s policy regarding transfer credit, see Transfer Credit. Some departments and programs have additional restrictions on transfer credit. Requests for transfer credit must be approved for Rice equivalency by the designated transfer credit advisor for the appropriate academic department offering the Rice equivalent course (corresponding to the subject code of the course content). The Office of Academic Advising maintains the university’s official list of transfer credit advisors on their website: https://oaa.rice.edu. Students are encouraged to meet with the applicable transfer credit advisor as well as their academic program director when considering transfer credit possibilities.
Program Transfer Credit Guidelines
Students pursuing the minor in Digital Health should be aware of the following program-specific transfer credit guidelines:
- No more than 2 courses (6 credit hours) of transfer credit from U.S. or international universities of similar standing as Rice may apply towards the minor.
Additional Information
For additional information, please see the Electrical and Computer Engineering website: https://www.ece.rice.edu/.
Opportunities for the Minor in Digital Health
Academic Honors
The university recognizes academic excellence achieved over an undergraduate’s academic history at Rice. For information on university honors, please see Latin Honors (summa cum laude, magna cum laude, and cum laude) and Distinction in Research and Creative Work. Some departments have department-specific Honors awards or designations.
Digital Health Research Opportunities
For additional information regarding digital health research opportunities, please see the Rice Digital Health Initiative's website: https://dhi.rice.edu/research/.
Additional Information
For additional information, please see the Electrical and Computer Engineering website: https://www.ece.rice.edu/.