Our application deadline is February 1. Applications received after this deadline will be reviewed if space is available.
BIOINFORMATICS
Northeastern University
360 Huntington Avenue
134 Mugar Life Sciences Building
Boston, MA 02115
617.373.2260
gradbio@neu.edu
We have made some exciting changes to our curriculum that closely match the needs of our students! Many students have either a strong background in Biology/Biochemistry or a strong background in Math/Computing. All courses offered for the Professional Science Master's Program in Bioinformatics are available in the late afternoon or evening to accommodate students who are employed during the day.
Please click on the course numbers to view the course descriptions. You will need to select Graduate Schools, College of Arts and Sciences, and then the subject area for the course you are trying to view.
| BIOG308 | Bio IT Methods 1 - Genome and Proteome Analysis | 4 SH |
| CSG102 | Database Management | 4 SH |
| BIOG301 | Molecular Cell Biology | 4 SH |
| BIOG309 | Bio IT Methods 2 - Microarray Analysis and Protein Structure Modeling | 4 SH |
| CSG100 | Data Structures | 4 SH |
| PSCG100 | Concepts in Pharmaceutical Science | 2 SH |
| CHMG248 | Molecular Modelling | 3 SH |
| BIOG385 | Bioinformatics Seminar | 2 SH |
| MTHG340 | Statistics for Bioinformatics | 4 SH |
| BIOG381 | Ethics in Biological Research | 2 SH |
| BIOG506 | Bioinformatics Internship Tutorial | 1 SH |
All students must complete 32 SH of graduate work. A wide range of electives are available; including advanced work in computer science, mathematics and biology.
Please click on the course numbers to view the course descriptions. You will need to select Graduate Schools, College of Arts and Sciences, and then the subject area for the course you are trying to view.
| BIOG300 | Graduate Biochemistry | 4SH |
| BIOG308 | Bio IT Methods 1 - Genome and Proteome Analysis | 4 SH |
| BIOG301 | Molecular Cell Biology | 4 SH |
| BIOG309 | Bio IT Methods 2 - Microarray Analysis and Protein Structure Modeling | 4 SH |
| PSCG100 | Concepts in Pharmaceutical Science | 2 SH |
| CHMG248 | Molecular Modelling | 3 SH |
| BIOG385 | Bioinformatics Seminar | 2 SH |
| MTHG340 | Statistics for Bioinformatics | 4 SH |
| BIOG381 | Ethics in Biological Research | 2 SH |
| BIOG506 | Bioinformatics Internship Tutorial | 1 SH |
All students must complete 32 SH of graduate work. A wide range of electives are available; including advanced work in computer science, mathematics and biology.