The Milken Institute School of Public Health (SPH) minor in bioinformatics is an interdisciplinary program offering focused training that integrates concepts in health, biology, statistics, and computer science. The program develops and integrates skills across the core competency areas in bioinformatics, including computation, biology, statistics/mathematics, and foundational knowledge in bioinformatics. Students who complete the minor enhance their core undergraduate program to add significant additional skills that aid in entry to the top graduate programs in bioinformatics and computational biology in the world, leading professional schools (including public health, law school, medical school, or dental school), or employment in public health, biotechnology, pharmaceutical, or software development companies.

Visit the SPH minor programs website for additional information.

To be eligible to declare a minor in the Milken Institute School of Public Health (SPH), students must be enrolled in any undergraduate degree program at GW and be in good academic standing. To declare an SPH minor, visit the school's Undergraduate Minor Admissions page.

The following requirements must be fulfilled: 18 credits, including 12 credits in required courses and 6 credits in elective courses.

Required
PUBH 3201Introduction to Bioinformatics
PUBH 3202Introduction to Genomics
PUBH 4201Practical Computing
or CSCI 1012 Introduction to Programming with Python
or CSCI 1121 Introduction to C Programming
or CSCI 1131 Introduction to Programming with C
PUBH 4202Bioinformatics Algorithms and Data Structures
or CSCI 1112 Algorithms and Data Structures
Electives
6 credits in elective courses selected from the following:
ANTH 2406Human Evolutionary Genetics
BISC 2207Genetics
BISC 3209Molecular Biology
BISC 4234Microbial Genomics Laboratory
BME 2820Biomedical Engineering Programming I: Data Analysis
BME 2825BME Programming II: Introduction to Assistive Robotics
BME 3820Engineering Analysis of Neural, Muscular, and Cardiovascular Physiology
CHEM 3165Biochemistry I
CHEM 3166Biochemistry II
CSCI 3212Algorithms
CSCI 4364Machine Learning
CSCI 4366Neural Networks and Deep Learning
CSCI 4511Artificial Intelligence Algorithms
EMSE 3760Discrete Systems Simulation
EMSE 3850Quantitative Models in Systems Engineering
EMSE 4765Data Analysis for Engineers and Scientists
MATH 3359Introduction to Mathematical Modeling
MATH 3553Introduction to Numerical Analysis
MATH 3613Introduction to Combinatorics
MATH 3730Computability Theory
MATH 3740Computational Complexity
PUBH 3131Epidemiology
PUBH 3151Current Issues in Bioethics
or PUBH 3151W Current Issues in Bioethics
PUBH 3995Undergraduate Research in Public Health (up to 3 credits)
PUBH 4199Independent Study
PUBH 6859High Performance and Cloud Computing
STAT 2183WIntermediate Statistical Laboratory: Statistical Computing Packages
STAT 3119Design and Analysis of Experiments
STAT 3157Introduction to Mathematical Statistics I
STAT 3187Introduction to Sampling
STAT 4158Introduction to Mathematical Statistics II
STAT 4181Applied Time Series Analysis
STAT 4188Nonparametric Statistics Inference
STAT 4189Mathematical Probability and Applications I