A comprehensive 42-credit curriculum designed by industry experts, updated annually to reflect the latest advances in bioinformatics and computational biology.
Four intensive quarters covering everything from molecular biology fundamentals to cutting-edge AI applications in biotechnology.
Build your foundational knowledge in molecular biology and computational methods
Bachelor's degree in life sciences or equivalent
Advanced concepts in genetics, gene expression, and epigenetics. In-depth study of genomics, transcriptomics, proteomics, and single-cell sequencing. Practical use of NCBI, EBI, UniProt databases.
Develop a strong understanding of molecular biology and 'omics technologies, and learn to navigate key biological databases.
Basic computer literacy
Advanced Python scripting for data manipulation (Pandas, NumPy, BioPython). Statistical computing with R. Mandatory use of Git and GitHub for version control.
Master essential programming skills in Python and R for data analysis, and establish a foundation in collaborative software development.
BCB101 (can be taken concurrently)
In-depth exploration of key databases and programmatic access via APIs. Hands-on work with standard data formats like FASTA, FASTQ, and VCF.
Gain proficiency in accessing, parsing, and managing diverse biological data formats, and learn to automate data retrieval.
BCB101, BCB102, BCB103 (concurrent)
First semester capstone project applying foundational concepts learned in BCB101-103. Students work individually or in small groups on a bioinformatics problem.
Apply foundational knowledge to solve a real-world bioinformatics problem and develop project management skills.
Transform your career with our comprehensive curriculum designed by industry experts.