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Bachelor of Science in Bioinformatics

The emerging field of Bioinformatics is an interdisciplinary research area that teaches you how to analyze large-scale datasets and apply that analysis to solve problems in a variety of professional, medical, and scholarly fields. The Bachelor of Science in Bioinformatics will train students in basic concepts and skills to perform computational analysis of biological data - including the human genome. Students will be able to participate in research with Institute faculty and other faculty in departments across the campus. Institute core and adjunct faculty teach many of the informatics (INFO) classes offered each semester.

Learn more about the career opportunities available for bioinformatics majors here.

For more information about the Bioinformatics program contact Elliot Lefkowitz, Program Co-director 

Admissions Criteria 

Due to the interdisciplinary nature of the Bioinformatics program, admission criteria is higher than those for either biology or computer science.

Learn more about Admissions Criteria

Plan of Study

The plan of study for this program includes courses in biology, chemistry, computer sciences, mathematics, informatics and core curriculum courses.

Click here for the Plan of Study


Undergraduate Informatics Courses

Click here for course listing of Informatics courses offered at the undergraduate level.

Below is a listing of classes offered during the next semester. 

  • Fall 2022

    INFO 302: Bioinformatics - I
    CRN: 62024
    Min CR: 3
    Schedule Type: Lecture
    Instructor: Ryan L. Melvin (P)

    Prerequisites

    Undergraduate level BY 210 Minimum Grade of C and Undergraduate level CS 103 Minimum Grade of C and Undergraduate level PUH 250 Minimum Grade of C and Undergraduate level INFO 101 Minimum Grade of C
     
    Description

    Introduction to bioinformatics and methodologies, with emphasis on concepts and application of informatics tools to molecular biology. Focus on experimental models to collect data from genomics, transcriptomics and proteomics, applied statistics when it relates to experimental design, construction of bioinformatics tools into pipelines, representing biological data, biological sequence analysis, gene annotation, basic programming, basic web/data analysis programming, sharing of biological information, social/legal aspects of open science.


    INFO 404: Biological Data Management
    CRN: 65626
    Min CR: 3
    Schedule Type: Lecture
    Instructor: TBA
     
    Prerequisites

    Undergraduate level INFO 302 Minimum Grade of C

    Description

    Introduction of biological data management concepts, theories, and applications. Basic concepts such as data representation, database modeling, ontology representation, and relational database queries will be introduced. Various database systems, particularly relational databases and emerging big data techniques, will be introduced. Application of biological data management in biology will be covered using case studies of high-impact widely used biological databases.


    INFO 497: Research in Bioinformatics
    CRN: 62796
    Min CR: 0-4
    Schedule Type: Undergraduate Research
    Instructor: Elliot J Lefkowitz (P)
     
    Prerequisites

    Undergraduate level PSDO 200 Minimum Grade of C

    Description

    Research in Bioinformatics for non-honors students under the supervision of a faculty sponsor.


    INFO 498: Honors Bioinformatic Research 
    CRN: 62797
    Min CR: 0-4
    Schedule Type: Capstone Course Undergraduate Research
    Instructor: Elliot J Lefkowitz (P)
     
    Prerequisite

    Undergraduate level PSDO 200 Minimum Grade of C and Undergraduate level CS 103 Minimum Grade of C

    Description

    Honors Research is an innovative course that will provide undergraduate students with an opportunity to engage in rigorous scholarly practice of the core bioinformatics skills necessary for performing independent research. Program faculty will closely work with students to identify a project that explores an area of interest for the student based on the integration of prior learning. Students will be performing bioinformatics analyses on laboratory data or publicly available large-scale data, incorporate quality control and develop software pipelines.


    INFO 499: Bioinformatics Capstone
    CRN: 63543
    Min CR: 3
    Schedule Type: Lab Capstone Course 
    Instructor: Elliot J Lefkowitz (P)
     
    Prerequisite

    Undergraduate level INFO 403 Minimum Grade of C and Undergraduate level INFO 404 Minimum Grade of C and Undergraduate level PSDO 200 Minimum Grade of C

    Description

    Students will be allowed to rotate to different program faculty or continue with their mentor from BY/CS 498 Bioinformatics Capstone Research I. With close mentoring and guidance from program faculty, the student will identify a capstone project or continue their existing bioinformatics project. The capstone project is expected to culminate in a formal scholarly work reflecting integration of the scientific knowledge gained through the project. The scholarly work may take the form or a written manuscript or semester report.


    INFO 601: Introduction to Bioinformatics
    CRN: 62026
    Min CR: 3
    Schedule Type: Lecture Online
    Instructor: Zechon Chong (P)

    Description

    Introduction to bioinformatics and computational biology, with emphasis on concepts and application of informatics tools to molecular biology. It covers biological sequence analysis, gene prediction, genome annotation, gene expression analysis, protein structure prediction, evolutionary biology and comparative genomics, bioinformatics databases, cloud computing, basic R-based data analysis, simple programming skills using Perl, Linux/Unix environment and command lines, visual analytics, and social/legal aspects of open science. It will have a class research project component.

Click here for course registration