Advance your skills and deepen your knowledge of the diverse functions of bioinformatics.
The Master of Science in Bioinformatics is a 36-credit hybrid program that will provide you with technical skills in computer programming, algorithm design, data acquisition and mining, research methods, and statistical analysis in an interdisciplinary and applied learning environment that integrates theory and real-work application.
Program of Study
Upon completion of the program, students will demonstrate:
- an ability to apply knowledge of computing, biology, statistics, and mathematics appropriate to the discipline
- an ability to analyze a problem, and identify and define the computing requirements appropriate to its solution
- an ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs in scientific environments
- an ability to use current techniques, skills, and tools necessary for bioinformatics practice
- an ability to function effectively on teams to accomplish a common goal
- an understanding of professional, ethical, legal, security and social issues and responsibilities
- an ability to communicate effectively with a range of audiences
- a recognition of the need for, and an ability to engage in continuing professional development
- detailed understanding of the scientific discovery process and of the role of bioinformatics in it
- an ability to apply statistical research methods in the contexts of molecular biology, genomics, medical, and population genetics research
- in-depth knowledge of relevant areas of biology and an understanding of biological data generation techniques
Required Core Courses (30 credits)BIN 501 - Introduction to Programming for Bioinformatics^BIN 510 - Probability and Statistics with Programming^BIN 520 - Molecular Genetics and Lab^BIN 521 - Protein Biochemistry and Lab^BIN 601 - Advanced Programming for Bioinformatics^BIN 602 - Data Mining for Bioinformatics^BIN 620 - Biological Sequence Analysis^BIN 621 - Cheminformatics and Drug Discovery^BIN 680 - Bioinformatics Internship^ORBIN 690 - Bioinformatics Thesis^
Elective Courses (6 credits)
Students must complete two electives (6 credits).BIN 701 - Principles of Software Design and Engineering^BIN 710 - Advanced Statistics and Data Visualization^BIN 720 - High-Throughput Screening and Image Analysis^BIN 721 - Biological Systems Analysis^BIN 740 - Introduction to Machine Learning and Distributed Computing^
Total Degree Requirements - 36 credits
View academic catalog and learning outcomes
Careers and Internships
An education from the Van Loan School of Graduate and Professional Studies at Endicott College means you'll have access to premiere career resources—long after you graduate.
Whether you're finishing your undergraduate study, adding new credentials, or working toward a new career path, you'll find resources through our Internship and Career Center to help you get where you want to go. From career advising to resume support, we're here to prepare you for your next step.