Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
Not Available
Details
Program Details
Degree
Courses
Major
Biomedical Sciences | Clinical Research | Health Informatics
Area of study
Information and Communication Technologies | Health
Course Language
English
About Program

Program Overview


Education

The Department of Population and Quantitative Health Sciences offers various programs in the field of health sciences.


Biomedical & Health Informatics

  • MS in Biomedical & Health Informatics
  • PhD in Biomedical & Health Informatics
  • Certificate in Health Informatics
    • Certificate Admission
    • Certificate Curriculum
  • Learning Environment
  • BHI Faculty
  • BHI Career Development
  • Student Outcomes

Biostatistics & Epidemiology

  • MS in Biostatistics
    • Biostatistics MS Admission
    • Biostatistics MS Curriculum
    • Biostatistics Learning Environment
    • Biostatistics Career Development
    • Biostatistics Master's Faculty
    • Biostatistics Combined Bachelor's/MS Degree Program
  • PhD in Epidemiology and Biostatistics
    • Admission to the Epidemiology and Biostatistics PhD program
  • Student Outcomes

Clinical and Translational Science

  • About Clinical Research
  • MS in Clinical Research
    • Clinical Research Tuition and Financial Aid
    • Clinical Research Admission
    • Clinical Research Curriculum
    • Clinical Research Combined Bachelor's/MS Degree Program
    • Clinical Research Alumni Theses
    • Clinical Research FAQs
  • PhD in Clinical Translational Science (CTS)
    • CTS Admission
    • CTS Curriculum
    • CTS Mentored Research
    • CTS FAQs
  • Certificate in Clinical Research
    • Certificate Admission
    • Certificate Curriculum
    • Certificate FAQs
  • Clinical Research Fellow
  • Clinical Research Faculty
  • Affiliations

Public Health

  • Master of Public Health
    • MPH Admission
    • Meet Our People
    • MPH Curriculum
      • Culminating Experiences
      • Intensive Research Pathway
    • Financial Assistance
    • MPH Career Outcomes
    • Dual Graduate Degrees
    • Admitted and Current Student Resources
    • Innovations Conference
    • Student Experience
    • MPH Contacts
  • Public Health Certificate
  • FAQs

Cross-disciplinary Training in Alzheimer's Disease Translational Data Science

Health Informatics Certificate Curriculum

The certificate program requires two core courses and two concentration courses.


Core Courses

  • Introduction to Data Structures and Algorithms in Python (PQHS 413)
  • Computing in Biomedical and Health Informatics (PQHS 416)

Concentration Courses

Students select two courses from one of the following concentrations:


  • Health Informatics
  • Clinical Research Informatics
  • Bioinformatics

Concentration Courses List

Health Informatics

  • CRSP 401 (3 Credit Hours) Introduction to Clinical Research Summer Series
  • PQHS 431 (3 Credit Hours) Statistical Methods I
  • PQHS 471 (3 Credit Hours) Machine Learning & Data Mining
  • EBME 473 / SYBB421 (3 Credit Hours) Fundamentals of Clinical Information Systems
  • HSMC 412 (3 Credit Hours) Lean Service Operations
  • HSMC 420 (3 Credit Hours) Health Finance
  • HSMC 456 (3 Credit Hours) Health Policy and Management Decisions

Clinical Research Informatics

  • CRSP 401 (3 Credit Hours) Introduction to Clinical Research Summer Series
  • PQHS 431 (3 Credit Hours) Statistical Methods I
  • PQHS 471 (3 Credit Hours) Machine Learning & Data Mining
  • PQHS 515 (3 Credit Hours) Secondary Analysis of Large Health Care Data Bases
  • EBME 473 / SYBB 431 (3 Credit Hours) Fundamentals of Clinical Information Systems
  • MPHP 458 / PQHS 458 (3 Credit Hours) Statistical Methods for Clinical Trials
  • MPHP / PQHS 468 (3 Credit Hours) The Continual Improvement of Healthcare: An Interdisciplinary Course

Bioinformatics

  • PQHS 451 (3 Credit Hours) A Data-Driven Introduction to Genomics and Human Health
  • EECS / SYBB 459 (3 Credit Hours) Bioinformatics for Systems Biology
  • PQHS 471 (3 Credit Hours) Machine Learning & Data Mining

Research Areas

The department is involved in various research areas, including:


  • Alzheimer Disease and Genetics
  • Research Projects
    • The Genetics of AMD in the Old Order Amish
    • Biomedical Big Data: Neuroscience and Provenance
    • The Epidemiology of Tobacco Use
    • FoodNEST: The future of food in your neighborhood
    • Eradicating the Infectious Worm that causes Lymphatic Filariasis
    • The Genetics of Tuberculosis Resistance
    • Biomedical Informatics Research
  • GIS Health & Hazards Lab
  • Collaborations
See More