Life Sciences — Bioinformatics
Advance your expertise at the intersection of biology, data science, and technology. This program covers genomic data analysis, computational biology, and industry-standard tools (BLAST, NCBI, Python), along with essential research data management practices, including metadata standards, FAIR principles, reproducible workflows, and repository readiness.
Key Learning Outcomes:
- Understand bioinformatics fundamentals and the role of computational methods in modern life sciences.
- Analyze genomic and biological data using industry-standard tools such as BLAST, NCBI, and Python.
- Apply computational biology techniques to solve real-world research and biological data challenges.
- Implement metadata standards, FAIR principles, and reproducible workflows for research data.
- Prepare research datasets for effective management, sharing, and repository submission.