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The Bioinformatics track 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.
In addition to the 12 core SHU requirements, students in this track must also take:
Elective Credits in Bioinformatics
As always, please consult the SIS Student Portal website for exact times and dates of all classes offered below. Other relevant Comp electives will be found among the special topics classes offered each term. Recent such offerings include Computational Systems Biology, Advanced Algorithms, Data Structures and Algorithms, Natural Language Processing, Reinforcement Learning, and Information Theory.
This program assumes undergraduate-level experience in Computer Science (or comparable industry expertise developing software in C, C++, or Java, including data structures and algorithm analysis), along with fundamental knowledge of biology and chemistry. If you are interested in the program but do not have the computer science background, we recommend that you apply first to Tufts’ postbac program in computer science, which provides excellent preparation for this Master’s program.
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