Information on the admission process is available on the Office of Undergraduate Admissions website. Applications may be submitted via the Common Application.

Supporting documents not submitted online should be mailed to:

Office of Undergraduate Admissions
The George Washington University
800 21st Street NW, Suite 100
Washington, DC 20052

Contact for questions: or 202-994-6040

The following requirements must be fulfilled: 20 credits in general education courses, 56 to 57 credits in health data science core courses, 10 credits in health data science guided elective courses, and 33 to 34 credits in general elective courses.

University General Education Requirement
One course in critical thinking in the humanities.
Two courses in critical thinking, quantitative reasoning, or scientific reasoning in the social sciences. For exercise science and nutrition majors, must be satisfied with one of the following: ANTH 1002, ANTH 1003, or ANTH 1004.
One course that has an approved oral communication component, For exercise science and nutrition majors, must be satisfied with either COMM 1040 or COMM 1041.
One course in quantitative reasoning. For exercise science and nutrition majors, must be satisfied with one of the following: STAT 1051, STAT 1053, or STAT 1127.
One course in scientific reasoning with laboratory experience. For exercise science and nutrition majors, must be satisfied with BISC 1111.
UW 1020University Writing
or HONR 1015 (Origins and Evolution of Modern Thought)
After successful completion of UW 1020 or HONR 1015, 6 credits distributed over at least two different Writing in the Disciplines (WID) courses taken in separate semesters (summer counts as one semester) are required. WID courses are designated by a "W" appended to the course number.

 Approved courses can be found under University General Education Requirement.

Required core courses
PUBH 4201Practical Computing
or CSCI 1011 Introduction to Programming with Java
or CSCI 1012 Introduction to Programming with Python
PUBH 4202Bioinformatics Algorithms and Data Structures
or CSCI 1112 Algorithms and Data Structures
PUBH 1142Introduction to Health Data Science
PUBH 1242Health Data Mining
PUBH 2242Natural Language Processing for Healthcare
PUBH 3242Health Data Visualization
MATH 1231Single-Variable Calculus I
MATH 1232Single-Variable Calculus II
BISC 1111Introductory Biology: Cells and Molecules
PUBH 2110Public Health Biology
or BISC 1112 Introductory Biology: The Biology of Organisms
PUBH 2142Introduction to Biostatistics for Public Health
STAT 4157Introduction to Mathematical Statistics I
STAT 2118Regression Analysis
or STAT 2183 Intermediate Statistics Lab/Packages
PUBH 1010First-Year Experience in Public Health
PUBH 1101Introduction to Public Health and Health Services
PUBH 3131Epidemiology
PUBH 3199Topics in Public Health (Research Methods)
PUBH 3136Health Law
or PUBH 3151 Current Issues in Bioethics
PUBH 4199Independent Study
43 to 44 credits in elective courses, including 10 credits in health data science guided elective courses (below) and 33 to 34 credits in general elective courses. Most courses offered by GW can be taken as general electives. Students are encouraged to meet with their advisor to help select these courses. No more than 3 credits in Lifestyle, Sport, and Physical Activity (LSPA) courses can be counted toward the 120 credits required for the bachelor's degree. LSPA courses count as general electives,

Health data science guided electives

BIOC 3820Bioinformatics and Computational Biochemistry
Biological sciences
BISC 2207Genetics
BISC 2213Biology of Cancer
BISC 2214Developmental Biology
BISC 2336Introductory Microbiology
BISC 2583Biology of Proteins
BISC 2585Biometry
Biomedical engineering
BME 3825Medical Measurement Laboratory
BME 4482Medical Measurements
Computer science
CSCI 1112Algorithms and Data Structures
CSCI 1121Introduction to C Programming
CSCI 1132Data Structures and Software Design
CSCI 1311Discrete Structures I
CSCI 2312Discrete Structures II
CSCI 2441Database Systems and Team Projects
CSCI 3212Algorithms
CSCI 3362Probability for Computer Science
CSCI 4341Continuous Algorithms
CSCI 4342Computational Linear Algebra and Applications
CSCI 4364Machine Learning
CSCI 4572Computational Biology
CSCI 4576Introduction to Biomedical Computing
CSCI 4577Biomedical Computing
Data science
DATS 2101Ethical Life in a Digital World
DATS 2102Data Visualization for Data Science
DATS 2103Data Mining for Data Science
DATS 2104Data Warehousing for Data Science
ECON 2123Introduction to Econometrics
ECON 3105Economic Forecasting
ECON 3148Health Economics
Electrical and eomputer engineering
ECE 1120C Programming for Electrical and Computer Engineering
ECE 1125Data Structures and Algorithms for ECE
ECE 3220Introduction to Digital Signal Processing
ECE 3225Signal and Image Analysis
MATH 2184Linear Algebra I
MATH 2233Multivariable Calculus
MATH 3125Linear Algebra II
MATH 3342Ordinary Differential Equations
MATH 3359Introduction to Mathematical Modeling
MATH 3553Introduction to Numerical Analysis
MATH 3740Computational Complexity
MATH 4239Real Analysis I
MATH 4240Real Analysis II
Mechanical and aerospace engineering
MAE 1117Introduction to Engineering Computations
PHYS 3100Math Methods for Physics
PHYS 3181Computational Physics
Public health
PUBH 3201Introduction to Bioinformatics
PUBH 3202Introduction to Genomics
PUBH 3995Undergraduate Research
STAT 2123Introduction to Econometrics
STAT 2183WIntermediate Statistical Laboratory: Statistical Computing Packages
STAT 3119Design and Analysis of Experiments
STAT 4158Introduction to Mathematical Statistics II
STAT 4181Applied Time Series Analysis
STAT 4188Nonparametric Statistics Inference
STAT 4189Mathematical Probability and Applications I
STAT 4190Mathematical Probability and Applications II
STAT 4197Fundamentals of SAS Programming for Data Management