Program Overview

Bioengineering Program

The Bioengineering Program is administered by the School of Engineering. It offers various tracks, including the Bioinformatics Track.

Bioinformatics Track

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.

Track Requirements

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

• CS 135 (3 SHUs): Machine Learning
• CS 160 (4 SHUs): Algorithms
• CS 166 (3 SHUs): Computational Systems Biology
• CS 167 (3 SHUs): Introduction to Computational Biology
• Elective 1
• Elective 2

Elective Credits in Bioinformatics

The following courses are available as electives:

• CS 111 (3 SHUs): Operating Systems
• CS 115 (3 SHUs): Databases
• CS 116 (3 SHUs): Computer Security
• CS 119 (4 SHUs): Big Data
• CS 121 (3 SHUs): Software Engineering
• CS 131 (3 SHUs): Artificial Intelligence
• CS 136 (3 SHUs): Statistical Pattern Recognition
• CS 137 (3 SHUs): Deep Neural Networks
• CS 138 (3 SHUs): Reinforcement Learning
• CS 142 (3 SHUs): Network Science
• CS 144 (3 SHUs): Iterative Methods in Machine Learning
• CS 178 (3 SHUs): Visual Analytics
• COMP 293/294 (0-6 SHUs): Master's Project
• COMP 295/296 (0-6 SHUs): Master's Thesis
• BIO 102 (3 SHUs): Human Genetics
• BIO 103 (3 SHUs): Developmental Biology
• BIO 105 (4 SHUs): Molecular Biology
• Other relevant CS or BIO special topics courses with advisor approval.

Academic Departments

The program is supported by the following academic departments:

• Biomedical Engineering
• Chemical and Biological Engineering
• Civil and Environmental Engineering
• Computer Science
• Electrical and Computer Engineering
• Mechanical Engineering

Strategic Research Areas

The program focuses on the following strategic research areas:

• Energy, Water, and the Environment
• Human Health and Bioengineering
• Human-technology Interface
• Intelligent Systems
• Learning Science

Centers

The program is affiliated with the following centers:

• Center for Applied Brain and Cognitive Sciences
• Center for Engineering Education and Outreach
• Center for STEM Diversity
• Center for the Enhancement of Learning and Technology
• Cybersecurity Center for the Public Good
• Initiative for Neural Science, Disease & Engineering
• Institute for Research on Learning and Instruction
• Tufts Gordon Institute
• Tufts Interdisciplinary Advanced Materials Center