School of Engineering

Bioinformatics Track

Advisor: Professor Donna Slonim

The Bioinformatics track, administered by the Department of Computer Science, looks at computational approaches to biomedical problems. Students may focus in computational data analysis, systems biology, data mining, simulation and modeling, visualization, or other areas that incorporate computer science and mathematics in biological research. This track requires some undergraduate computer science as a prerequisite (COMP 15 or the equivalent). Students will work with an advisor to design a coherent program including computer science electives as well as courses in computational biology, math and biotechnology.

Bioinformatics Tracking Form

Track Requirements

In addition to the 12 core SHU requirements,ยน students in this track must also take:

Course IDCourse Name
CS 135Machine Learning
CS 160Algorithms
CS 166Computational Systems Biology
CS 167Introduction to Computational Biology
Elective 1
Elective 2

Approved Bioinformatics Electives

Course IDCourse Name
CS 111Operating Systems
CS 115Databases
CS 116Computer Security
CS 119Big Data
CS 121Software Engineering
CS 131Artificial Intelligence
CS 136Statistical Pattern Recognition
CS 137Deep Neural Networks
CS 138Reinforcement Learning
CS 142Network Science
CS 144Iterative Methods in Machine Learning
CS 178Visual Analytics
COMP 293/294Master's Project
COMP 295/296Master's Thesis
BIO 102Human Genetics
BIO 103Developmental Biology
BIO 105Molecular Biology
Other relevant CS or BIO special topics courses with advisor approval.

Note 1: Advisor approval is required for course that satisfies breadth requirement.