What is Bioinformatics?

Bioinformatics Events

Our Courses

Bachelor of Science

Bachelor to Master

Master of Science

About the Program


Core Curriculum

Reccomended Electives

Master of Bioinformatics, (PSM)

PhD in Integrative Life Sciences

Student Testimonials





Core Curriculum

Below are the course listings and descriptions that combine to make up a total of 22 core credit hours. The additional program requirements can be found on the Master of Science in Bioinformatics tracks page.

MICR 510, Scientific Integrity (1CR): Fulfills the federally mandated requirement for training in the area of scientific ethics.

CMSC 508, Database Theory (3CR): Semester course; 3 lecture hours. 3 credits. Prerequisite: CMSC 401. Design and implementation of relational database systems. Emphasis is placed on entity-relationship diagrams, relational algebra, normal forms and normalization. Introduction to SQL. Discussion of physical level issues. Students will be required to complete a design project and give an oral presentation of the project. Not applicable toward M.S. in Computer Science or the Ph.D. in Engineering, computer science track.

BNFO 501, Intro to Physical Implementations of Databases (1CR): Introduction to physical implementation of databases Semester course; 1 lecture hour. 1 credit. Prerequisite: Permission of instructor. Basic searching and sorting algorithm design, and advanced data structures including hashing and B-trees.

BNFO 508, Intro to Bioinformatics Research (2CR): Introduction to research programs by investigators and rotation of students through track-appropriate faculty labs to gain direct exposure to individual research projects.

BNFO/BIOL 540, Fundementals of Molecular Genetics (3CR)

BNFO 600, Basic Scripting Languages (2CR): Basic Scripting Languages
Semester course; 2 lecture hours. 2 credits. Prerequisite: Permission of instructor.
Presents basics of programming in Perl, or other appropriate scripting language.

BNFO/BIOL 601 Integrated Bioinformatics (3CR): Designed so that students lacking background in one or two of the areas of molecular biology, computer science, or statistics, are able to function well immediately in a learning environment in which significant bioinformatics skills are taught. Students work in teams including biologists, computer scientists and mathematicians.

BNFO 690, Seminars in Bioinformatics (1CR): Features seminars by faculty, visitors, and senior students in the area of Bioinformatics and provides training in scientific communication.

BNFO 697 Directed Research in Bioinformatics (6CR min.): Directed research leading to the M.S. degree in bioinformatics.