While prior programming experience is helpful, it's not required. Our curriculum includes introductory modules on Python and R specifically designed for beginners. We provide additional resources and support for students new to programming.

You'll gain hands-on experience with industry-standard tools including BLAST, ClustalW, Biopython, BioConductor, R packages for genomic analysis, and various visualization tools. We also cover cloud-based bioinformatics platforms and databases.

We recommend dedicating 15-20 hours per week to get the most out of the program. This includes watching lectures, completing assignments, working on projects, and participating in mentorship sessions. The schedule is flexible to accommodate working professionals.

Yes, we provide career support including resume reviews, interview preparation, and connections to our industry partners. We also host networking events and maintain an active alumni community to help graduates find opportunities in the field.

Throughout the program, you'll work on practical projects such as analyzing genomic datasets, building sequence analysis pipelines, creating visualization dashboards, and implementing machine learning models for biological data. Your capstone project will be tailored to your interests and career goals.